Archives For information

Author Information: Gregory Sandstrom, Arena Blockchain, gregory.sandstrom@gmail.com.

Sandstrom, Gregory. “Is Blockchain an ‘Evolutionary’ or ‘Revolutionary’ Technology, and So What If It Is?: Digitally Extending Satoshi Nakamoto’s Distributed Ledger Innovation.” Social Epistemology Review and Reply Collective 8, no. 3 (2019): 17-49.

The pdf of the article gives specific page references, and includes the full text of the article. Shortlink, Part One: https://wp.me/p1Bfg0-47f. Shortlink: Part Two: https://wp.me/p1Bfg0-47m

Image by Tiger Pixel via Flickr / Creative Commons

 

Ideological Blockchain Evolutionism

There is also a position held that promotes what I call ‘ideological evolutionism’ in insisting that blockchain must be called a particularly ‘evolutionary’ phenomenon. This appears to be due largely to a broader ideological framework to which the authors are already committed.

This view requires either that blockchain should not be seen as a ‘revolutionary’ technology or use ideas available in literature produced by academics that promote something akin to the ‘evolution of everything,’ i.e. that ‘everything evolves’ based on the logic that ‘everything changes.’ This ideology is professed in the works of Matt Ridley and David Sloan Wilson among others.

Patrick T. Harker, President and Chief Executive Officer for the Federal Reserve Bank of Philadelphia, tells us that, “banking evolved its products and appendages just like the first single-cell organisms evolved fins and gills and eventually feet and legs.” (2017: 4) Here an analogy with the origins of life and animals implies that blockchain is an innovation of almost mythical proportion. Though it may surprise the people who use ‘evolution’ colloquially to hear this, not a few people actually do link the rise of blockchain to a broader understanding of life, human existence and their general worldview.

One of the most well-known ideological blockchain evolutionists is Naval Ravikant, co-founder of Angel List. “The Evolution of Everything by Matt Ridley, one of my favorite authors,” tells Ravikant. “If I can’t verify it on my own or if I cannot get there through science, then it may be true, it may be false, but it’s not falsifiable so I cannot view it as a fundamental truth. On the other side, I do know that evolution is true. I do know that we are evolved as survival and replication machines. I do know that we have an ego so that we get up off the ground and worms don’t eat us and we actually take action.” Ravikant also appeared on a podcast with Tim Ferris using a title “The Evolutionary Angel[1].” In short, Ravikant says, “I think almost everything about humans and human civilization is explained better by evolution than anything else[2].” To clarify what he means, he says,

“I use evolution as my binding principle in that it can explain a lot about how we behave towards each other and why we do certain things. / Ignoring that your genes want you to live in a certain way is a delusion that is going to hurt you. / I think a lot of modern society can be explained through evolution. One theory is that civilization exists to answer the question of who gets to mate. If you look around, from a purely sexual selection perspective, sperm is abundant and eggs are scarce. It’s an allocation problem. How do you choose which sperm gets the egg? / Literally all of the works of mankind and womankind can be traced down to people trying to solve that problem.”[3]

In short, we see an attempt at the ‘naturalisation’ of blockchain technology based on ideology or worldview, rather than ‘science.’

Similarly, but with a more academic focus, Chris Berg et al. (2018) are promoting an institutional evolutionary approach that mixes together ‘development’ with ‘evolution’. They ask: “How do blockchain protocols develop? How do they evolve? It is useful to see the development of blockchain innovation through the entrepreneurial innovation literature. Each sequential adaptation of a blockchain represents a new economic organisation, such as a firm.” (Ibid: 3)

For them, “Blockchain protocols offer us an evolutionary window into institutional change. The protocols are evolving under variation, replication and selection conditions, and researchers have a near complete and comprehensive window into those changes.” (Ibid: 10) This choice of terms follows on the work of Donald T. Campbell who attempted to apply Darwinian principles regarding biology to the human world, using the controversial notion of ‘blind variation and selective retention’ (cf. the Darwinian notion of ‘random mutation and natural selection’), which at the same time dislocates humanity’s power of choice by removing the teleological impulse[4] that is present in non-evolutionary and trans-evolutionary (Sandstrom 2016) viewpoints.

Nick Szabo is a major figure in blockchain space, perhaps most known for his coinage of the term ‘smart contract.’ Szabo is also somewhat prolific in his use of the term ‘evolution’ when it comes to cultural artefacts. He writes, “Common law is a highly evolved system of security for persons and property.” This draws on his general belief that, “Over many centuries of cultural evolution has emerged both the concept of contract and principles related to it, encoded into common law. Algorithmic information theory suggests that such evolved structures are often prohibitively costly to recompute. If we started from scratch, using reason and experience, it could take many centuries to redevelop sophisticated ideas like property rights that make the modern free market work.”

Szabo, however, notes that, “the digital revolution is radically changing the kinds of relationships we can have. … New institutions, and new ways to formalize the relationships that make up these institutions, are now made possible by the digital revolution. I call these new contracts ‘smart,’ because they are far more functional than their inanimate paper-based ancestors.” (1996) At the same time, he reminds us that, “Societies have evolved institutions such as firms and competitive markets to set prices, legal precedents and judicial proceedings to make judgments, and so forth.” (2002) Thus, we are proposed with a digital revolution happening inside of a broadly evolutionary version of human history.

Kartik Hegadekatti (2017) believes that, “Man has not only evolved biologically and culturally but also economically. Human economy has grown over many centuries through continuous addition of value. This value addition has been an evolutionary factor as it has influenced the formation of the main economic sectors-namely Primary, Secondary and Tertiary. Recently after the advent of Blockchain technology, Bitcoin achieved Gold parity. This paper analyses whether such an event will have any impact on the evolution of our economies.”

He suggests that,

“Man first settled down for agriculture, and started the process of economic and social development. In fact, this event led to conditions where mankind could experiment and evolve new economic and social systems. Earlier, during the hunter-gatherer phase, there were very few niche specialties. A hunter had to sharpen his [sic] own spear and go to hunt with the group. Once man settled down, distribution and differentiation of labor started. Villages sprang up where there were blacksmiths, cattle herders, and traders etc. who became part of the then-nascent human society.” (2017: 3)

Further, he writes that, “Consequently we may witness an explosion in technology entities, akin to the industrial revolution; A Technology Revolution. This may culminate in the creation of a truly Artificial Intelligence (as investment and research into Data analytics and automation technology will increase, thanks to investment in Blockchain Technology) leading to Technological Singularity.” (Ibid: 6)

In this final example of ideological blockchain evolutionism, we notice the author predicting a ‘Technological Singularity’ (cf. Ray Kurzweil’s dystopian scenario for humanity), which presents a kind of teleological goal and aim for human-machine interaction. Proponents of blockchain development who share this view may thus somehow still believe in technological revolutions that happen within a broader worldview in which everything, inevitably, is always and everywhere evolving.

Digitally Extending Blockchain

“The idea of cultural evolution strikes me as nothing but a dodge to put off the work of doing th[e] thinking, a piece of displacement activity brought in to dodge the conflict. It is not the right way to grasp the continuity between human and non-human nature. We need to drop it and find a better path[5].” – Mary Midgley (1984)

“Practitioners should be skeptical of claims of revolutionary technology.”

– Arvind Naryanan and Jeremy Clark (2017)

After having considered the ways various people write about blockchain as a constantly changing and ‘evolving’ technology, potentially a ‘revolutionary’ one, in this section I will offer an additional approach to blockchain development. My view is that blockchain technology is an example of a ‘social machine[6]‘ (Berners-Lee 1999) that most closely resembles the educational and agricultural extension movements from the late 19th and 20th centuries, which continue around the world today.

It is not necessary and can even be harmful or at least restrictive to use ‘evolutionary’ language to describe this alternative approach. In the current 21st century, we can thus consider the emergence and development of blockchain as a form of ‘digital extension services,’ which I will briefly elaborate on below and further in a forthcoming book chapter (Bailetti IGI, 2019).

The first thing to realise in order to make a simple yet crucial shift in language is that ‘change’ is the master category, not ‘evolution’ or ‘revolution’. That is to say that both evolution and revolution require change to happen, but change need not be either evolutionary or revolutionary. That is what makes change the master category over both evolution and revolution.

This basic semantic point serves an aim to help curb the rampant over-use and exaggeration of the ‘biological theory of evolution’ into the field of technology development that at the same time largely avoids identifying non-evolutionary or trans-evolutionary (Sandstrom 2017c) types of change. Instead, properly identifying the master category reveals that the intended new directions of social and cultural change due to blockchains are happening less rapidly and possibly also less disruptively compared to what many ‘blockchain revolution’ proponents enthusiastically claim.

Here it is worth noting that blockchain technology is based on not a few prior innovations, which when taken into account make it appear less revolutionary and more step-wise logically sequential. Such is the case that Naryanan and Clark make in their impressive paper “Bitcoin’s Academic Pedigree (2017). In it they state that, “many proposed applications of blockchains, especially in banking, don’t use Nakamoto consensus. Rather, they use the ledger data structure and Byzantine agreement, which, as shown, date to the ’90s. This belies the claim that blockchains are a new and revolutionary technology.” (Ibid)

They continue, concluding that, “most of the ideas in bitcoin that have generated excitement in the enterprise, such as distributed ledgers and Byzantine agreement, actually date back 20 years or more. Recognize that your problem may not require any breakthroughs—there may be long-forgotten solutions in research papers.” (Ibid) While nevertheless celebrating the significant achievement that Satoshi Nakamoto made in bringing multiple previous innovations together into Bitcoin, Naryanan and Clark reveal how the ‘revolutionary’ language of some proponents of blockchain can be considered as an exaggeration that avoids its historical precursors and likewise neglects the ‘shoulders of giants’ on which Nakamoto stood.

Junking the Blockchain Hype

Instead of either ‘evolution’ or ‘revolution,’ the alternative term ‘extension’ identifies inherently teleological, intentional and goal-oriented change-over-time. This term also adds considerable untapped value in connecting directly with the history of educational extension and agricultural extension mentioned in the introduction.

In both cases, the extension of knowledge, training and scientific innovations from centres to margins and from people in cities and at research institutes to people in rural areas around the world without convenient access to educational institutions has opened new opportunities for social learning and overall human development[7].

Thus, blockchain framed as an example of ‘digital extension services’ provides an analogy with applications for business, finance, governance[8], military[9], education, agriculture[10], cultural heritage[11], and any and all other institutions in society that may make use of peer-to-peer transaction-based systems that can be measured with data collection.

Burton Swanson et al. define ‘extension’ as “the organized exchange of information and the purposive transfer of skills.” (1997) It was such intentional diffusion of creative innovation and knowledge sharing that led to a worldwide movement of ‘extensionsists’ and ‘extension agents,’ that has arguably become the greatest social impact force, both personally and institutionally, perhaps alongside of universities, football (soccer) and major religions, that the world has ever known and experienced.

This is why I believe a discussion now of blockchain as ‘digital extension services’ is particularly ripe for exploration and why the regularly repeated question of whether or not blockchain is an ‘evolution or revolution’ is not currently as important. If blockchain is going to become a ‘revolutionary’ technology in the digital era, an ‘internet of trust,’ then it will require require some kind of individual and social ‘extension’ motif with goals, aims and purposes in mind in order to achieve this.

At the same time it appears crucial, however, to openly reject ‘evolutionary’ approaches to blockchain as if believing that the origin of Bitcoin did not happen as the result of a random and undirected process that was simply a result of external ‘environmental pressures’ (cf. blind variation and selective retention). Rather, Bitcoin and the technology now known as ‘blockchain’ were created intentionally by a pseudonymous programmer and cryptographer in 2008, with the first Bitcoin mined on January 3, 2009.

If Satoshi Nakamoto’s intentional creation is not credited as such, then an invitation to future blockchain chaos without planning or purpose will be the likely result. In short, an ‘evolutionary’ origins story for blockchain falls short of validity and simply makes no logical sense. Instead, more goal-oriented and teleological discussion is needed about where we are now heading through the use of distributed ledgers, which indeed may bring highly transformative social change to people around the world through digital peer-to-peer interactions.

Investment in Revolution

The question of whether or not blockchain is potentially a ‘revolutionary’ technology and what impact it will have on society raises many difficult questions to answer. To some degree it must involve speculative futuristics. The promises of ‘decentralisation’ and the removal of intermediaries (disintermediation) from digital social transactions that happen across borders and nations using the internet has led to what can be called ‘centre-phobia,’ or the fear of centralised institutions of social, economic and political power. Some proponents of blockchain are even calling for ‘leaderless democracy[12],’ which sounds more utopian and radical than what mainstream blockchain builders are aiming for.

The blockchain feature of having a timestamped, immutable record has many implications, including for deterrence of online criminal activity and financial fraud detection[13]. While much of the zeal for Bitcoin in the early years involved illicit use through the Silk Road website involving weapons, drugs, human trafficking and various nefarious schemes, other non-criminal uses of distributed ledger for ‘social impact[14]‘ soon started to arise that pushed the boundaries of what peer-to-peer networking and transacting around the world could enable.

All of these changes require the intentional and ‘signed’ (cf. key signatures) use of blockchain systems, where users must agree to accept the rules and regulations of the ledger community’s ‘Genesis Block’ in order to participate. Again, the language of ‘extension’ based on individual and social choices seems more suitable than outsourcing the conversation to biological or even environmental language.

To enable easily distinguishing ‘non-evolutionary’ change and ‘development’ from ‘evolutionary’ change, we may simply consider the effects of intentionality, purpose and aim[15]. When we explore the directions and trajectories that blockchain DLT is headed, we mean that people are consciously developing and building it and/or purchasing crypto-assets and digital currencies, i.e. they are ‘extending’ the innovation made by Satoshi Nakamoto with new applications.

Rest assured, however, with this new terminology in hand this does not necessarily mean that any one person knows, or even that it can be known exactly for certain, in which direction(s) blockchain is headed, such that a single person, group or institution can ‘control’ it, as Carter rightly identified above. Yet, while most people cautiously say they do not now know and cannot predict where blockchain is headed in the future, those who are actually building blockchains now should properly be given credit for their work and not left out of the conversation as if their plans are irrelevant to the eventual outcome of the technology’s growth.

Indeed, the goals, aims, visions and plans of many blockchain builders and investors will determine the trajectory of blockchain development; they are the ones who are now ‘in control’ of where the technology is headed since Satoshi Nakamoto has disappeared from public[16].

Similarly, the perspective which holds that all change that is gradual, rather than rapid, therefore, according to biological precedent, automatically counts as ‘evolutionary,’ turns out to be both false and unnecessary upon closer investigation. French Nobel prize winner in Medicine, François Jacob suggested that, “Natural selection does not work as an engineer works. It works like a tinkerer — a tinkerer who does not know exactly what he is going to produce but uses whatever he finds around him… to produce some kind of workable object[17].”

Yet with blockchain the ‘human selection[18]‘ or ‘human extension’ of technology is being done by software developers, legal experts and innovation leaders with particular practical goals and business solutions in mind, even if ‘tinkering’ is the method by which the development occurs. The key is that people are actively involved in plotting the trajectory of blockchain growth and application, in contra-distinction with the mere anthropomorphic appearance (design) of biological change over time.

It simply does not make sense, therefore, when speaking about blockchain technology to use the language of a biologist like Dawkins, who suggested based largely upon a reactionary view, that ‘natural selection,’ “has no purpose in mind. It has no mind and no mind’s eye. It does not plan for the future. It has no vision, no foresight, no sight at all. If it can be said to play the role of watchmaker in nature, it is the blind watchmaker.” (1986: 5) Instead, with blockchain, it is our deep sense of purpose, vision, foresight, and planning that will result in new opportunities to apply the technology in potentially beneficial and effective social and cultural, economic and political configurations.

Indeed, the all-too-human sense of vision and deliberate drive, even if the direction was not always entirely clear and involved a kind of groping for solutions towards an unknown future; this is what enabled Satoshi Nakamoto to bring together past innovations, to ideate, code and eventually build a technological, legal framework and community for Bitcoin users in the first place.

To write this off according to a non-inventive theory of biological evolution that has no foresight or personal agency is to unnecessarily reduce and even dangerously dehumanise the conversation about blockchain in a disparaging way. Instead, I believe that aiming to uplift the conversation involving blockchain for humanity’s individual and collective extension and benefit is what the situation now most urgently requires.

What was the problem to which blockchain presented a solution? Was Nakamoto mainly aiming to undermine the power of financial institutions following the USA’s Emergency Economic Stabilization Act of 2008, i.e. the great bailout for banking elites at massive cost to millions of citizens? What purposes need there be other than financial ones to inspire the invention of an immutable public ledger that may serve as the basis for a ‘blockchain revolution’?

A public ledger (cf. triple entry accounting) that eliminates the double spending problem for digital transactions involving money is a massively transformative technology in and of itself. Regardless of what purposes Nakamoto had in mind when designing, creating and developing Bitcoin, we now are faced with what to do with this invention in ways that not only disrupt older systems, but that rather may at the same time creatively uplift human development of people around the world. What seems most urgently needed nowadays is a globally-oriented, socially-responsible digital extension services built upon distributed ledger technologies, using a combination of human, informational and material resources to produce it.

Conclusion

“The extensions of man with their ensuing environments, it’s now fairly clear, are the principal area of manifestation of the evolutionary process[19].” – McLuhan (1968)

“Building is the only truth path. Creation.” … “Bitcoin started because of my ideas. It was my design, and it is my creation.” – Craig Steven Wright (2019)

Given the above survey of uses of both terms ‘evolution’ and ‘revolution’ with respect to blockchain in the available literature, it is clear at least that there is on-going debate between which term is more suitable. My preference is to drop the term ‘evolution’ as unnecessarily ambiguous and imprecise when applied to technology, while cautioning that ateleological language is not particularly helpful or constructive in the conversation about blockchain development.

Likewise, at this early stage of historical growth, we still don’t know what kind of ‘revolution’ blockchain may cause in combination with other emerging digital technologies (IoTs, UAVs, VR/AR, virtual assistants, neural nets, quantum computing, etc.). We may thus look with either some trepidation or tempered optimism at the potential for revolutionary changes with the coming of distributed ledgers, particularly in the way blockchain will impact society, economics, politics, and culture.

In this paper, a brief comparison towards blockchain’s ‘revolutionary’ impact was proposed in the educational extension movement and agricultural extension and advisory services. The worldwide extension movement in agriculture contributed to the so-called ‘Green Revolution[20]‘ of the 1950s and 60s through knowledge sharing and information transfer to farmers who otherwise would not have had access to new seeds, knowledge and farming techniques.

With blockchain as a globally-oriented technology built upon the internet, we are starting to see new opportunities for digital identity provision that opens access to vital resources for those who are currently identity-less, for money transfer across borders (remissions), and for opportunities to bring ‘banking to the unbanked.’ This transformation has the potential to unlock many available human resources that will be able to further develop societies and cultures through savings and investment in peoples’ futures, something now impossible via institutional gridlock, exclusion and information capture.

On the strictly academic level, distributed ledgers may turn out to be the greatest technology created since the ‘social survey’ (or questionnaire) itself with the prospect of gathering big data for multivariate analysis. Now with a partially anonymous (cf. pseudonymous) user platform to protect personal identities from recrimination and ‘outing,’ social scientific research may be able to provide greater safety and security for ethical studies of humanity via digital devices that was simply not available in the past.

Nevertheless, we are still largely in the theoretical stage of blockchain’s coming impact and no mass platform for collecting such linked social data has yet been created where peer-to-peer interactions can produce a cascading global network effect. The question of whether a ‘revolution’ is coming or not due to blockchain DLT is thus for many people one still of sheer fantasy or hopeful speculation waiting for a major consensus-building breakthrough.

The Origins and the Future

Whether or not a person believes Craig Steven Wright was ‘Satoshi Nakamoto’ (perhaps with helpers alongside) or not is beside the point that someone must have been the inventive creator of Bitcoin. It simply didn’t arise on its own without an inventor and creator or without a purpose, aim and plan for its roll-out. To posit an ‘evolutionary origin’ for blockchain DLT thus profoundly misses out on the crucial elements of intentional, planned, purposeful technological change. Instead, looking at blockchain as an ‘extension’ of peoples’ choices places priorities on human values and desires, which are not to be ignored, but rather individually and collectively celebrated.

That said, in closing it is worth noting that a ‘revolution’ would only happen involving blockchains if the technology is not limited in usage to banks, multi-national corporations, and intermediary holders of financial power that collect fees without adding actual value to communities and users. Rent-seeking behaviour and currency speculation indeed has levied a massive cost on human civilisation in terms of widening the inequality gap within and between nations.

Similarly, writes Lawrie, “the Extension Movement … had to battle against the prejudice of those who would prefer university education to remain a privilege for the few.” (2014: 79) An overall struggle for power can and therefore must be expected in attempts to control distributed ledgers via ‘super users’ and centralised databases that sell user information. If the champions of blockchain DLTs are also champions of human freedom and dignity of person, the result may turn out better for a majority, rather than a minority few.

The dangers also adds caution and concern to those who focus on blockchain’s supposed ‘revolutionary’ impact as something necessarily disruptive and even destructive. The rhetoric heats up especially when blockchain is framed as a kind of deterministic, unavoidable and inevitable change driven by forces outside of human control.

Does technology have a ‘mind of its own?’ If not, then who is in control? Who is innovating? Who is guiding, choosing and directing the development of blockchain technology? And are they creating it for their own selfish gains or for the broader aims of society and culture? These questions animate the underlying concerns in this paper that mainly attempted to distinguish between random, unguided and guided, responsible technological change.

While it is true that in some sense the identity of Satoshi Nakamoto does not matter anymore, as the so-called “genie is out of the bottle[21]” now with blockchain. I believe it is nevertheless wrong to suggest that no one is or even should be in control of blockchain development, even though Satoshi Nakamoto disappeared. The growing number of people now building blockchain technologies will create a new horizon in which this technology will impact humanity in the coming years in a profound way. We may therefore watch with interest at the various ways P2P and E2E digital interactions on a global scale will change the course of human history in the near future to come.

In short, blockchain technology is a non-evolutionary or trans-evolutionary phenomenon that is potentially revolutionary for how it will restructure human society and culture based on immutable, timestamped distributed public ledgers. Blockchain as a ‘social machine’ heralds digital extension services and a new era of social change-over-time. Let us be ready and unafraid to face the challenges that this technology brings as it both disrupts, re-creates and unites people in a way that was unimaginable until Satoshi’s blockchain was invented to change the world.

Contact details: gregory.sandstrom@gmail.com

References

Arner, D.W., J.N. Barberis, R.P. Buckley (2015) “The Evolution of FinTech: A New Post-Crisis Paradigm.” 47 Geo. J. Int’l L. 1271.

Antonopolous, Andreas M. (2017). Mastering Bitcoin Programming the Open Blockchain. 2nd Edition, O’Reily.

Ashley, Michael (2019). “Forget Darwinian Evolution. Humanity May Soon Evolve Itself Through A.I.” Forbes. https://www.forbes.com/sites/cognitiveworld/2019/01/15/forget-darwinian-evolution-humanity-may-soon-evolve-itself-through-a-i/

Matthew Bardeen and Narciso Cerpa (2015). “Technological Evolution in Society – The Evolution of Mobile Devices.” https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762015000100001

Bejan, A., J.D. Charles, and S. Lorente (2014). “The Evolution of Airplanes.¨ Journal of Applied Physics, 116:044901.

Belady, L.A. And M.M. Lehman (1976). “A Model of Large Program Development.” IBM Systems Journal, 15(3): pp. 225-252.

Berg, Chris, Sinclair Davidson, and Jason Potts (2018). “Institutional Discovery and Competition in the Evolution of Blockchain Technology.” SSRN.

Berners-Lee, Tim (2000). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. New York: Harper.

Blakstad S., Allen R. (2018). “Ecosystem vs Egosystem and Revolution vs Evolution.” In: FinTech Revolution. Palgrave Macmillan, Cham.

Brooks, Fred P. (1986). “No Silver Bullet — Essence and Accident in Software Engineering.” Proceedings of the IFIP Tenth World Computing Conference: pp. 1069–1076.

Brooks, Fred (1975). The Mythical Man-Month. Addison-Wesley.

Brey, Phillip (2008). ‘Technological Design as an Evolutionary Process.” In Philosophy and Design: From Engineering to Architecture. Eds. P. Vermaas, P. Kroes, A. Light and S. Moore,  Springer.

Buitenhek, Mark (2016). “Understanding and applying Blockchain technology in banking: Evolution or revolution?” Journal of Digital Banking, Volume 1 / Number 2 / AUTUMN/FALL 2016, pp. 111-119 (9).

Campbell, Donald T. (1960). “Blind Variation and Selective Retention in Creative Thought as in other Knowledge Processes.” Psychological Review, 67: pp. 380-400.

Casey, M.J., P. Vigna (2015). “Bitcoin and the Digital-Currency Revolution.” Wall St. J.23. https://www.wsj.com/articles/the-revolutionarypower-of-digital-currency-1422035061

Chakraborty, Sumit (2018). FinTech: Evolution or Revolution. 1st Edition.

Champagne, Phil (2014). The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto. E53 Publishing.

Dawkins, Richard (1986). The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe without Design. Norton & Company.

De Breuck, Frederik (2019). “Next steps in the evolution of blockchain.” https://blog.global.fujitsu.com/next-steps-in-the-evolution-of-blockchain/

Demirbas, Ugur, Heiko Gewald, Bernhard Moos  (2018). “The Impact of Digital Transformation on Sourcing Strategies in the Financial Services Sector: Evolution or Revolution?”  Twenty-forth Americas Conference on Information Systems, New Orleans.

Dhaliwal, Jagjit (2018). “The Evolution of Blockchain.” https://www.linkedin.com/pulse/evolution-blockchain-jagjit-dhaliwal-pmp/

Douthit, Chris (2018) “The Evolution of BlockchainWhere Are We?” https://hackernoon.com/the-evolution-of-blockchain-where-are-we-f0043b2d0cd0

Easley, David, Maureen O’Hara, and Soumya Basu (2017). “From Mining to Markets: The Evolution of Bitcoin Transaction Fees.” SSRN.

ElBahrawy, A., L. Alessandretti, A. Kandler, R. Pastor-Satorras, & A. Baronchelli (2017). “Evolutionary dynamics of the cryptocurrency market.” Royal Society Open Science, 4(11), 170623.

Fenwick, M., W.A. Kaal, EPM Vermeulen (2017). “Legal Education in the Blockchain Revolution.” 20 Vand. J. Ent. & Tech. L. 351.

Gilder, George (2018).  Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy. Gateway Editions.

Harker, Patrick T. (2017). “FinTech: Evolution or Revolution?” Technology, Business and Government Distinguished Lecture Series.

Halaburda, Hanna (2018). Blockchain Revolution Without the Blockchain. Bank of Canada.  

Hedera Hashgraph Team (2018). “The Evolution of Possibilities.” https://www.hedera.com/blog/the-evolution-of-possibilities

Hegadekatti, Kartik (2017). “Blockchain Technology – An Instrument of Economic Evolution?” SSRN. https://mpra.ub.uni-muenchen.de/82852/

Herraiz, Israel, Daniel Rodriguez, Gregorio Robles, Jesus M. Gonzalez-Barahona (2013). “The Evolution of the Laws of Software Evolution”. ACM Computing Surveys. 46 (2): pp. 1–28.

Hochstein, Mark (2015). “BankThink: Fintech (the Word, That Is) Evolves.” https://www.americanbanker.com/opinion/fintech-the-word-that-is-evolves

Kakavand, Hossein, Nicolette Kost De Sevres and Bart Chilton (2017). “The Blockchain Revolution: An Analysis of Regulation and Technology Related to Distributed Ledger Technologies.” SSRN.

Künnapas K. (2016). “From Bitcoin to Smart Contracts: Legal Revolution or Evolution from the Perspective of de lege ferenda?” In: Kerikmäe T., Rull A. (eds) The Future of Law and eTechnologies. Springer, Cham .

Lagarde, Christine (2018). “Winds of Change: The Case for New Digital Currency.” https://www.imf.org/en/News/Articles/2018/11/13/sp111418-winds-of-change-the-case-for-new-digital-currency

Lawrie, Alexandra (2014). The Beginnings of University English Extramural Study, 1885– 1910. Palgrave Macmillan.

Lehman, Meir M. (1980). “Programs, Life Cycles, and Laws of Software Evolution”. Proc. IEEE. 68 (9): pp. 1060–1076.

Liu, Stella (2017). “Green Revolution 2.0 aims to boost rural net connectivity.” https://www.nst.com.my/opinion/columnists/2017/07/254923/green-revolution-20-aims-boost-rural-net-connectivity

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

Narayanan, Arvind and Jeremy Clark (2017). “Bitcoin’s Academic Pedigree.” Communications of the ACM, 60, 12: pp. 36-45.

Naryanyan, V. (2018). A brief history in the evolution of blockchain technology platforms.” https://hackernoon.com/a-brief-history-in-the-evolution-of-blockchain-technology-platforms-1bb2bad8960a

Nichols, Megan Ray (2018). “Blockchain: The Next Big Disruptor in the Manufacturing Industry.” https://news.thomasnet.com/featured/blockchain-the-next-big-disruptor-in-the-manufacturing-industry/

Pinna, Andrea and Wiebe Ruttenberg (2016). “Distributed Ledger Technologies in Securities Post-Trading Revolution or Evolution?” ECB Occasional Paper No. 172.

Rauchs, Michel, Andrew Glidden, Brian Gordon, Gina Pieters, Martino Recanatini, François Rostand, Kathryn Vagneur and Bryan Zhang (2018). Distributed Ledger Technology Systems: A Conceptual Framework. Cambridge Centre for Alternative Finance.

Ravikant, Naval (2017). “The Knowledge Project.” The Farnam Street Learning Company. https://fs.blog/wp-content/uploads/2017/02/Naval-Ravikant-TKP.pdf

Rose, C. (2015). “The Evolution Of Digital Currencies: Bitcoin, A Cryptocurrency Causing A Monetary Revolution.” International Business & Economics Research Journal (IBER), 14(4): pp. 617-622.

Sahlstrom, Dennis (2018). “The Future is Here – The Evolution of Blockchain.” https://toshitimes.com/the-future-is-here-the-evolution-of-blockchain/

Sandstrom, Gregory (2017). “Anyone Who Thinks Blockchain Technology is Evolving Put Your Hand Up.” https://medium.com/@gregory.sandstrom/anyone-who-thinks-blockchain-technology-is-evolving-put-your-hand-up-a80c30644894

Sandstrom, Gregory (2017a). “Enter Blockchain: The Non-Evolutionary Recovery of Genesis  in Contemporary Discussions of Innovation and Emerging Technologies.” https://medium.com/@gregory.sandstrom/enter-blockchain-the-non-evolutionary-recovery-of-genesis-in-contemporary-discussions-of-96ae135413a6

Sandstrom, Gregory (2017b). “Who Would Live in a Blockchain Society? The Rise of Cryptographically-Enabled Ledger Communities.” Social Epistemology Review and Reply Collective 6, no. 5: pp. 27-41. https://social-epistemology.com/2017/05/17/who-would-live-in-a-blockchain-society-the-rise-of-cryptographically-enabled-ledger-communities-gregory-sandstrom/

Sandstrom, Gregory (2017c). “Evolutionary Epistemology.” Wiley-Blackwell Encyclopedia of Social Theory.

Sandstrom, Gregory (2016). “Trans-Evolutionary Change Even Darwin Would Accept.” Social Epistemology Review and Reply Collective 5, no. 11, 2016: pp. 18-26.

Sandstrom, Gregory (2010). “The Extension of ‘Extension’ OR the ‘Evolution’ of Science and Technology as a Global Phenomenon.” Liberalizing Research in Science and Technology: Studies in Science Policy. Eds. Nadia Asheulova, Binay Kumar Pattnaik, Eduard Kolchinsky, Gregory Sandstrom. St. Petersburg:  Politechnika: pp. 629-655.

Sandstrom, Gregory (2010). “The Problem of Evolution: Natural-Physical or Human Social?” In Charles Darwin and Modern Biology. St. Petersburg: Institute for the History of Science and Technology, Russian Academy of Sciences: pp. 740-748.

Sinrod, Margaret Leigh (2018).  “Still don’t understand the blockchain? This explainer will help.” https://www.weforum.org/agenda/2018/03/blockchain-bitcoin-explainer-shiller-roubini

Smart, Paul R. (2012). “The Web-Extended Mind.” In Special Issue: Philosophy of the Web, Metaphilosophy, 43, (4): pp. 426-445.

Smart, P.R., & Shadbolt, N.R. (2015). “Social Machines.” In Encyclopedia of Information Science and Technology, Third Edition. IGI Global: pp. 6855-6862.

Staples, M., S. Chen, S. Falamaki, A. Ponomarev, P. Rimba, A.B. Tran, I. Weber, X. Xu, L. Zhu (2017). “Risks and Opportunities for Systems Using Blockchain and Smart Contracts.” Data61 (CSIRO).

Swan, Melanie (2015). Blockchain: Blueprint for a New Economy. Sebastopol: CA: O’Reilly.

Swanson, Burton E., Robert P. Bentz and Andrew J. Sofranko (1997). Improving Agricultural Extension: A Reference Manual. Rome: Food and Agriculture Organisation of the United Nations. http://www.fao.org/docrep/w5830e/w5830e00.htm

Szabo, Nick (2002). “Measuring Value.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/measuringvalue.html

Szabo, Nick (1996). “Smart Contracts: Building Blocks for Digital Markets.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart_contracts_2.html

Tapscott, Don & Alex (2016). The Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio Penguin.

Town, Sam (2018). “Beyond the ICO Part 3: Evolution Versus Revolution.” https://cryptoslate.com/beyond-the-ico-part-3-evolution-versus-revolution/

Trujillo, Jesus Leal, Stephen Fromhart & Val Srinivas (2017). “Evolution of blockchain technology Insights from the GitHub platform.” Deloitte.

Walport, Mark (2016). “Distributed Ledger Technology: beyond block chain. A report by the UK Government Chief Scientific Adviser.”

Williams, Sam (2002). “A Unified Theory of Software Evolution.” Salon.

Wright, Collin (2018). “The New Evolution Deniers.” https://quillette.com/2018/11/30/the-new-evolution-deniers/

Wright, Craig Steven (2019). “Careful what you wish for…” https://medium.com/@craig_10243/careful-what-you-wish-for-c7c2f19e6c4f

Wright, Craig Steven (2019a). https://medium.com/@craig_10243/proof-of-work-1a323e82fd9

Videos

“Alex Tapscott: Blockchain Revolution | Talks at Google” – https://www.youtube.com/watch?v=3PdO7zVqOwc

“Are Blockchains Alive? Co-evolving with Technology” – Amanda Gutterman (ConsenSys) – https://www.youtube.com/watch?v=X7GkkGTnVwA

“Block Chain Revolution | Giovanna Fessenden | TEDxBerkshires” – https://www.youtube.com/watch?v=oMhZTEQZJPI

“Bitcoin and the history of money” – “Let’s take a look at the evolution of money.” – https://www.youtube.com/watch?v=IP0jCjyrew8

“Blockchain – evolution or revolution?” –  https://www.youtube.com/watch?v=LojzPukAtmM

“Blockchain Evolution & Empowerment” – https://www.youtube.com/watch?v=eSUC9NFccNk

“Blockchain Evolution 2” – Reese Jones – https://www.youtube.com/watch?v=mCPqXHt-z0k

“Blockchain Evolution or Revolution in the Luxembourg Financial Place? – Nicolas Carey https://www.youtube.com/watch?v=Wp9FB_JQlgI

“Blockchain Evolution” – https://www.youtube.com/watch?v=CULUqgfVteg

“Blockchain Evolution” – Complexity Labs – https://www.youtube.com/watch?v=rO2LSBDekvE

“Blockchains’ Evolution by natural selection like biology’s genetics” – Reese Jones – https://www.youtube.com/watch?v=4JEFGtsu0s4

“Blockchain Evolution” – https://www.youtube.com/watch?v=tGcuJoFZLOY

“Chandler Guo on The Bitcoin & Blockchain Revolution” – https://www.youtube.com/watch?v=J7g2JFn68LU

“Cryptos Are The EVOLUTION of Money and Blockchain is the REVOLUTION of Trust! Vlog#18” – Siam Kidd – https://www.youtube.com/watch?v=-nu2F6_K0S0

“DigiByte Blockchain – The evolution of the Internet & the revolution in the financial systems” – https://www.youtube.com/watch?v=w8h10ckU0sE “The revolution has already begun.”

“Don Tapscott – The Blockchain Revolution – https://www.youtube.com/watch?v=gZEmaSbqfYQ

“Evolution of Bitcoin” – Documentary Film – https://www.youtube.com/watch?v=HUpGHOLkoXs

“Evolution of Blockchain And Its Future Moving Forward In 2018!” – https://www.youtube.com/watch?v=YWlMoxMTbDQ

“Evolution of Blockchain in India:The value of Ownership.” – Mr.Akash Gaurav – TEDxKIITUniversity – https://www.youtube.com/watch?v=BtTJmb0jYzE

“Evolution of the Blockchain Economy” – Jeremy Gardner – Startup Grind – https://www.youtube.com/watch?v=Q7cPy6ITUm4

“Future Evolution of Blockchain” – Silicon Valley TV – https://www.youtube.com/watch?v=5_6m7LYIEo4

“Future Thinkers Podcast – a podcast about evolving technology, society and consciousness. https://futurethinkers.org/

“Genetics of Blockchain Evolution” – Reese Jones – https://www.youtube.com/watch?v=8fFsmuvyXeE

“Keynote: Blockchain’s Evolution: Digital Assets are getting Physical” – FinTech Worldwide” – https://www.youtube.com/watch?v=1p5PUn4z_Gs

“How the Blockchain revolution will change our lives? | Eddy Travia | TEDxIEMadrid” https://www.youtube.com/watch?v=ErxKm0b0DIU

“How the Blockchain Revolution Will Decentralize Power and End Corruption | Brian Behlendorf” https://www.youtube.com/watch?v=Tv-XR6gXfLI

“Interview for Bitcoin And Blockchain Evolution Podcast – Sarah Herring – “Evolution – There is a Revolution coming!” https://www.youtube.com/watch?v=tIZJsFotDdg

“John McAfee on Infowars: Nothing Can Stop The Blockchain Revolution” – https://www.youtube.com/watch?v=CssU9WBHx6k

“Make the blockchain business case: Evolution, not revolution” (only title, not in video) – PWC – https://www.youtube.com/watch?v=sjr_Wqwk1SI

“The blockchain evolution, from services…to smartphones.” – Mingis on Tech – https://www.youtube.com/watch?v=jvn5zZj5IR8

“The Blockchain Evolution” – Hewlett Packard – https://www.hpe.com/us/en/insights/videos/the-evolution-of-blockchain-1712.html

“The Blockchain Evolution” – https://www.youtube.com/watch?v=TeyeKXmqQn8

“The Blockchain Evolution” – Cambridge House International” – https://www.youtube.com/watch?v=nELBTdqeKuQ

“The Evolution of Bitcoin – Bill Barhydt – Global Summit 2018 | Singularity” Universityhttps://www.youtube.com/watch?v=CZjK1i9CE6U

“The Evolution of Blockchain and Global Vision (Shanghai)” https://www.youtube.com/watch?v=56rOLarCttA

“The Evolution Of Blockchain Over The Decades” – With David Birch” https://www.youtube.com/watch?v=yC8oBJSQ6vc

“The Evolution of Blockchain technology” – Amir Assif. Microsoft Israel” – https://www.youtube.com/watch?v=f_eKp1z5hj0

“The Evolution of Blockchain: How EOS is reinventing blockchain” – https://www.youtube.com/watch?v=R8aDGf8WpKs

“The Evolution of Blockchain” – Nicola Morris – https://www.youtube.com/watch?v=aSy-UJn1G1I

“The Evolution of Blockchain” – The State of Digital Money 18′ conference” – https://www.youtube.com/watch?v=RWfNVTgbqjc

“The Blockchain Revolution – Graham Richter, Accenture” – https://www.youtube.com/watch?v=AYTmjZmsUm4

“The Blockchain Revolution | Rajesh Dhuddu | TEDxHyderabad” – https://www.youtube.com/watch?v=OrnvX92vlu8

“The Blockchain Revolution by Talal Tabaa – ECOH 2018” – https://www.youtube.com/watch?v=AvRJ1kEQ2so

“The Blockchain Revolution Changing the Rules https://www.youtube.com/watch?v=GTgG8XzcVC0

“The Blockchain Revolution in Business and Finance” – https://www.youtube.com/watch?v=3SUfz6p0a7Y

“The blockchain revolution, the ultimate industry disruptor” – https://www.youtube.com/watch?v=7hEiHR-K_KY

“The Blockchain Revolution: From Organisations to Organism | Matan Field | TEDxBreda” – https://www.youtube.com/watch?v=2OSbseTJWfY

[1] https://tim.blog/2017/06/04/nick-szabo/

[2] http://www.businessinsider.com/angellist-ceo-naval-ravikant-shares-his-favorite-books-2015-8

[3] http://www.killingbuddha.co/the-present/2016/10/17/naval-ravikant-on-the-give-and-take-of-the-modern-world

[4] “Being teleological is the second worst thing you can be as a Historian. The worst is being Eurocentric.” – Joel Mokyr

[5] “Biological and Cultural Evolution.” 1984. ICR Monograph Series 20. https://idriesshahfoundation.org/biological-and-cultural-evolution/

[6] Berners-Lee writes of “interconnected groups of people acting as if they shared a larger intuitive brain,” defining social machines on the internet as “processes in which the people do the creative work and the machine does the administration.” (1999) Smart and Shadbolt provide an updated version: “Social Machines are Web-based socio-technical systems in which the human and technological elements play the role of participant machinery with respect to the mechanistic realisation of system level processes.” (2014)

[7] “Extension lectures offered many middle-class women almost their only contact with education beyond the secondary level, and in consequence women came to use the new movement in greater numbers than any other social group, and frequently displayed the greatest personal application.” – Lawrence Goldman (Dons and Workers, 1995: 88)

[8]  A blockchain is “a place [digital ledger] for storing data that is maintained by a network of nodes without anyone in charge.” – Jeremy Clark (2016, https://users.encs.concordia.ca/~clark/talks/2016_edemocracy.pdf)

[9]  See Kevin O’Brien’s (2018) “China, Russia, USA in Race to Use Blockchain for Military Operations.” https://bitcoinist.com/china-russia-usa-blockchain-military/ and Salvador Llopsis Sanchez’ “Blockchain Technology in Defence.” https://www.eda.europa.eu/webzine/issue14/cover-story/blockchain-technology-in-defence

[10] Andrew Braun’s (2018) “Blockchain & Agriculture: A Look at the Issues & Projects Aiming to Solve Them” https://blockonomi.com/blockchain-agriculture/ and “Digging into Blockchain in Agriculture.” https://blockchain.wtf/2018/11/industry-impacts/digging-into-blockchain-in-agriculture/

[11]  Zohar Elhanini’s (2018) “How Blockchain Changed The Art World In 2018.” https://www.forbes.com/sites/zoharelhanani/2018/12/17/how-blockchain-changed-the-art-world-in-2018/#30caa5333074

[12] “Without the need for any central control or mediator blockchains allow for leaderless democracy – a new way of governing human behaviour online through ‘one computer one vote’.” http://kmi.open.ac.uk/projects/name/open-blockchain

[13] “Bitcoin is an immutable evidence system, a ledger that stops fraud.” – Craig Steven Wright https://medium.com/@craig_10243/the-great-mining-swindle-2dec8ffa819d

[14] https://consensys.net/social-impact/

[15] “As a result of the new scientific orthodoxy, the origins of organisms and of artifacts are nowadays seen as radically different: blind natural selection versus the purposive, forward-looking, and intelligent activity of designers.” – Phillip Brey (2008)

[16] However, with the noteworthy possibility that Craig Steve Wright was Satoshi Nakamoto, as he is now claiming, as he did in 2016: “I was Satoshi.” (2019)

[17]  “Evolution and Tinkering.” Science, Vol. 196, No. 4295, June 1977: pp. 1161-1166.

[18] This term was used in 1890 by A.R. Wallace, co-discoverer of ‘natural selection’ with Charles Darwin, to distinguish human-made things from natural organisms, after Darwin’s death.

[19] War and Peace in the Global Village. With Quentin Fiore. New York: Bantam, 1968: p. 19.

[20] “The first Green Revolution enabled developing countries to experience large increases in crop production through the use of fertilisers, pesticides and high-yield crop varieties. Between 1960 and 2000, yields for all developing countries rose 208 per cent for wheat, 109 per cent for rice, 157 per cent for maize, 78 per cent for potatoes and 36 per cent for cassava. This success was most felt with rice growers in Asia and lifted many out of poverty. … Capital investments and agricultural extension services are key for farmers to properly adopt new technologies and raise their farms’ productivity. ” – Liu (2017)

[21] As Joseph Lubin of Ethereum and Consensus says, “She’s big, she can’t go back in.” [21] http://www.theepochtimes.com/n3/668104-the-entrepreneur-joe-lubin-coo-of-ethereum/

Author Information: Gregory Sandstrom, Arena Blockchain, gregory.sandstrom@gmail.com.

Sandstrom, Gregory. “Is Blockchain an ‘Evolutionary’ or ‘Revolutionary’ Technology, and So What If It Is?: Digitally Extending Satoshi Nakamoto’s Distributed Ledger Innovation.” Social Epistemology Review and Reply Collective 8, no. 3 (2019): 17-49.

The pdf of the article gives specific page references, and includes the full text of the article. Shortlink, Part One: https://wp.me/p1Bfg0-47f. Shortlink: Part Two: https://wp.me/p1Bfg0-47m

Image by Kevin Krejci via Flickr / Creative Commons

 

“If you cry ‘Forward!’ you must without fail make plain in what direction to go. Don’t you see that if, without doing so, you call out the word to both a monk and a revolutionary they will go in directions precisely opposite?” – Anton Chekhov

“I’m better with code than with words though.” – Satoshi Nakamoto[1]

Did Satoshi Nakamoto, the pseudonymous creator of Bitcoin, actually invent anything new that had not previously existed before? Should people stop referring to a ‘blockchain revolution’ and instead call blockchain a ‘technological evolution’ that happened gradually and was caused randomly by environmental pressures rather than the intentional acts of a unique inventor? These basic questions make up the core of this paper, along with the suggestion that an alternative way of describing blockchain development makes considerably more sense than using the concept of ‘evolution’ in the digital era.

While it is unoriginal to ask whether blockchain distributed ledger technology should be thought of as an ‘evolution’ or a ‘revolution,’ since many people have asked it already (see bibliography below, including texts and videos), in this paper I’ll go a step deeper by looking at what people actually mean when they refer to blockchain as either an ‘evolution’ or a ‘revolution,’ or rather inconsistently as both at the same time.

In short, I’ll distinguish between their colloquial, ideological and technical uses and ask if one, both or neither of these terms is accurate of the changes blockchain has made, is making and will make as a new global digital technology.

Introduction: From the Book of Satoshi

In the Foreword to The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto, libertarian Bitcoin activist Jeff Berwick wrote: “Bitcoin has changed everything. Its importance as an evolution in money and banking cannot be overstated. Notice I don’t use the word ‘revolution’ here because I consider Bitcoin to be a complete ‘evolution’ from the anachronistic money and banking systems that humanity has been using—and been forced by government dictate to use—for at least the last hundred years.” (2014: xvii)

While I don’t really understand what he means by a ‘complete evolution,’ Berwick’s attention to the difference in meaning between ‘evolution’ and ‘revolution’ regarding Bitcoin nevertheless sets the stage for this exploration of blockchain technology, as we consider its current development trajectory. Which term is more suitable?

Worth noting, nowhere in Satoshi Nakamoto’s collected writings is either the term ‘evolution’ or ‘revolution’ to be found. Berwick’s interpretation of ‘blockchain evolution,’ framed within his worldview as an anarcho-capitalist, is thus of his own making and not one that derives from Nakamoto himself. I’ll touch on why I believe that is below. Also of note, the book’s writer and compiler of Nakamoto’s writings, Phil Champagne, states that, “Bitcoin, both a virtual currency and a payment system, represents a revolutionary concept whose significance quickly becomes apparent with a first transaction. … Bitcoin has therefore clearly sparked a new technological revolution that capitalizes on the Internet, another innovation that changed the world.” (2014: 2, 7)

Champagne closes the book stating, “Satoshi Nakamoto brought together many existing mathematical and software concepts to create Bitcoin. Since then, Bitcoin has been an ongoing experiment, continuing to evolve and be updated on a regular basis. It has, so far, proven its utility and revolutionized the financial and monetary industry, particularly the electronic payment system, and is being accepted worldwide.” (2014: 347) The use of both ‘evolution’ and ‘revolution’ in past and present tense shows a debate exists even within this one book about which term best fits blockchain’s current and future status in society.

This paper will look closely at the difference between these two terms as they relate to blockchain, largely staying away from speculation about cryptocurrencies, i.e. digital tokens, crypto-assets, and/or crypto-securities. It will primarily serve to catalogue the way people have used these two terms with respect to blockchain and cryptocurrency and ask if they are suitable or unsuitable terms. In conclusion, I offer an analysis of why the distinction between these two terms matters as different ways to describe change-over-time and assess an alternative model to analyse and discuss these changes called ‘digital extension services.’ 

Reflexive Background and Context 

To set the background and context, let me write reflexively about why I am writing this paper. Over the past 15+ years studying the topic, I’ve become somewhat of an expert on how the term ‘evolution’ is used outside of the natural-physical sciences, in theories such as ‘social and cultural evolution,’ ‘evolutionary economics’ and ‘technological evolution.’

I wrote a master’s thesis comparing the concepts of ‘evolution,’ ‘extension’ and ‘Intelligent Design,’ and have published more than 20 papers and delivered more than 30 presentations at international conferences outlining and exploring the limits of ‘evolutionary’ thinking as well as promoting the notion of ‘human extension’ in social sciences and humanities[2].

My interest in this paper is to clear up what appears as massive public confusion and oftentimes puzzling equivocation about various types of change-over-time, especially non-evolutionary changes such as revolution, development, emergence, and extension. Some people think there is no such thing as a ‘non-evolutionary’ change since all change must be ‘evolutionary,’ in response to which I would like to set the record straight.

There are undoubtedly some people who will consider this paper and having written it to be a complete waste of time and for them, it’s best to stop reading at the end of this sentence. However, others may find in this exploration a key distinction towards gaining even a small bit of insight and perhaps some understanding into the considerable differences between biological change-over-time and technological development[3], innovation and planning, the latter which generally fall outside of the meaning of ‘evolution.’

Notably, I find it somewhat humorous for having studied this rather arcane social epistemological topic quite closely for many years to be able to write this paper now. It’s meant that I’ve had to lock horns repeatedly with ideological (young earth) creationists, Intelligent Design advocates and evolutionists on many occasions along the way[4]. What I have discovered is that sometimes choosing the right term matters and sometimes it doesn’t; some people want to use a term to mean whatever they want it to mean[5] and it’s most often not worth taking the time in trying to stop or persuade them.

When I learned in 2016 that blockchain technology is about more than just cryptocurrency, and that it also has potentially significant and far-reaching implications for a variety of social, cultural and educational uses, it simply made sense to bring some of the knowledge I had gathered as an associate professor and researcher into my study of distributed ledgers, which is what leads to this text.

In Q3 2017, I asked and answered myself on Twitter as follows: “Is blockchain really evolving of its own accord? No.” I copied that message to the Managing Director of the Blockchain Research Institute (BRI) in Toronto, Hilary Carter, who I had met that summer at the Blockchain Government Forum in Ottawa. She replied: “Agreed! Evolution is a series of beneficial genetic accidents. Blockchain and the development of the community is entirely intentional.” (24 Sep 2017) That exchange happened after I had recently arrived in Yangon, Myanmar, first to teach, then to work as Director of Blockchain Innovation at an educational technology startup company. I had many new things and needs to focus on and didn’t think about it too much further at that time.

However, after returning to Canada in 2018, I later raised this topic again directly in conversation with Carter[6]. While she still stands behind the view that blockchain is indeed a revolutionary phenomenon and that its development is based upon the various intentions of its builders and creators, she also suggested that, “the blockchain ecosystem is [an] evolution,” that it is in a state of maturation, and that, “no one is controlling it.” It is the latter contention that I’d like to take up again now and ‘unpack’ during the course of this paper.

Carter’s view, to which I will return below, raises an important question about how blockchain was invented, as well as the way that blockchain ecosystem development is currently being planned and executed, and both how and why people are aiming for social scalability and public adoption. Also, it raises the question of what then counts as the ‘blockchain revolution’ that BRI founder Don Tapscott wrote a book about with his son Alex in 2016.

To me, Carter’s original comment that blockchain development is ‘entirely intentional’ is obviously correct and requires no further commentary for validation. However, it also signifies that there is at least some type of ‘control’ when it comes to actual blockchain technology building, even if the trajectory of distributed ledgers aren’t being controlled, nor are they entirely predictable, by any single person or company, anywhere in the world.

My prior research in sociology of science had shown that while the term ‘evolution’ is used by not a few people in a basic colloquial sense simply as a synonym for ‘change,’ it can also be used, and not rarely, in an ideological sense that draws on ‘cultural evolutionary’ theories in SSH or in the case of technology, one that adheres to the so-called ‘laws of software evolution[7]‘ (M. Lehman). It is the latter usage of the term ‘evolution’ that I wholeheartedly reject and think has caused great damage to human self-understanding and initiative.

Let it be clear, however, in stating this that I am not one of the ‘new evolution deniers’ (Wright 2018) pursuing an anti-biology or anti-science blank slate ideology that doesn’t acknowledge change-over-time, which is evident in many ways across a range of cultural issues. Rather, I’m a dedicated social scientific researcher and more recently community builder of blockchain technology who rejects the notion that ‘no one is in control’ of what is being developed (i.e. ‘unguided evolution’).

Likewise, I strongly reject the misanthropic worldview that claims ‘there is no purpose[8]‘ (Dawkins) in change-over-time. I oppose both of these positions as dehumanising. So, with this context provided, the following sections present my research findings into how other people use the terms ‘evolution’ and ‘revolution’ with respect to blockchain technology.

Equivocating Between Evolution and Revolution 

“Bitcoin is a completely new narrative. It alters everything, and in 20 to 30 years from now, people will not recognise the world we are in because of Bitcoin.” – Craig Steven Wright (2019a)

Many writers on the topic of blockchain switch back and forth equivocally between ‘evolution’ and ‘revolution,’ apparently without much rhyme or reason, not carefully distinguishing between them. Rather curiously, this includes the Tapscotts. “We strongly believe that India has the potential to lead the blockchain revolution[9],” said Don Tapscott in 2018.

And there are indeed many places where Don and his son Alex use the term ‘revolution’ to describe blockchain in their 2016 book, which I will outline in the following paragraphs. They write, “Like the first generation of the Internet, the Blockchain Revolution promises to upend business models and transform industries. But that is just the start. Blockchain technology is pushing us inexorably into a new era, predicated on openness, merit, decentralization, and global participation.” (Ibid) This type of language continues throughout the book, which explains why they gave it the title they did.

However, they also use the term ‘evolution’ to describe technological change. “The Web is critical to the future of the digital world,” they say, “and all of us should support efforts under way to defend it, such as those of the World Wide Web Foundation, who are fighting to keep it open, neutral, and constantly evolving.” (Ibid)

They quote Blake Masters, who states, “Bear in mind that financial services infrastructures have not evolved in decades. The front end has evolved but not the back end. … posttrade infrastructure hasn’t really evolved at all.” (Ibid) Likewise, they cite Joseph Lubin, who says:

“I am not concerned about machine intelligence. We will evolve with it and for a long time it will be in the service of, or an aspect of, Homo sapiens cybernetica. It may evolve beyond us but that is fine. If so, it will occupy a different ecological niche. It will operate at different speeds and different relevant time scales. In that context, artificial intelligence will not distinguish between humans, a rock, or a geological process. We evolved past lots of species, many of which are doing fine (in their present forms).” (Ibid)

The Tapscotts in this vein also consider human-made technology itself, not just biology, as an ‘evolutionary’ phenomenon. They thus label one of their chapters, “The Evolution of Computing: from mainframes to smart pills.” (Ibid) “Unlike our energy grid,” they say, “computing power has evolved through several paradigms. In the 1950s and 1960s, mainframes ruled—International Business Machines and the Wild ‘BUNCH’ (Burroughs, Univac, National Cash Register Corp., Control Data, and Honeywell).

In the 1970s and 1980s, minicomputers exploded onto the scene.” (Ibid) They continue this line of thinking, suggesting that, “Driven by the same technological advances, communications networks evolved, too. From the early 1970s, the Internet (originating in the U.S. Advanced Research Projects Agency Network) was evolving into its present-day, worldwide, distributed network that connects more than 3.2 billion people, businesses, governments, and other institutions. The computing and networking technologies then converged in mobile tablets and handhelds. BlackBerry commercialized the smart phone in the early aughts, and Apple popularized it in the iPhone in 2007.” (Ibid)

Yet at some point unstated, they switch back to ‘revolutionary’ language, suggesting that, “We’re beginning the next major phase of the digital revolution.” (Ibid) They cite Michelle Tinsley of Intel, who “explained why her company is deeply investigating the blockchain revolution: “When PCs became pervasive, the productivity rates went through the roof. We connected those PCs to a server, a data center, or the cloud, making it really cheap and easy for lean start-ups to get computer power at their fingertips, and we’re again seeing rapid innovation, new business models.”

Just imagine the potential of applying these capabilities across many types of businesses, many untouched by the Internet revolution.” (Ibid) In short, their view is that “the technology is always evolving and designs are ever improving.” (Ibid) This encapsulates their equivocating meaning of ‘blockchain revolution,’ from one of the most widely cited texts in the field of blockchain technology.

Carter followed up with me after receiving the first draft of this paper to clarify her position. She explains, “We’ve evolved from single-purpose peer to peer electronic cash to Ethereum to private distributed ledgers to Cryptokitties. Everything is intentional. Evolution post-Bitcoin is more a figure of speech to reflect that blockchain systems have changed[10].” She continues, saying that, “Blockchain was no accidental software that emerged from the first generation of the internet.”

This sentence brings in another ‘change-over-time’ term with the notion of ’emergence,’ that adds to the linguistic feature of this analysis. Carter concludes that, “maybe ‘matured’ is a better word [i.e. than ‘evolution’] – because of the creativity of humans, not because of fortunate digital coincidences.” This explanation from the current leadership of the BRI helps to make sense of the variety of ways that people around the world are now speaking about the ‘growth,’ ’emergence,’ ‘maturing,’ ‘development,’ ‘advancement,’ ‘expansion’ and other ‘change-over-time’ metaphors to describe what is happening with distributed ledger technologies.

But What Are the Meanings of These Words?

Moving on to another writer and public figure, managing director of the IMF, Christine Lagarde similarly switches back and forth between ‘evolution’ and ‘revolution’ in seemingly an unsystematic way. She confirms that, “the fintech revolution questions the two forms of money we just discussed—coins and commercial bank deposits. And it questions the role of the state in providing money.” (2018)

She continues, however, saying, “I have tried to evaluate the case this morning for digital currency. The case is based on new and evolving requirements for money, as well as essential public policy objectives. My message is that while the case for digital currency is not universal, we should investigate it further, seriously, carefully, and creatively.” (Ibid)

One of the most prolific speakers and writers about blockchain, Andreas Antonopolous (2017), believes, “Over time, the way transaction fees are calculated and the effect they have on transaction prioritization has evolved. At first, transaction fees were fixed and constant across the network. Gradually, the fee structure relaxed and may be influenced by market forces, based on network capacity and transaction volume.” (2017: 127) … “Beyond bitcoin, the largest and most successful application of P2P technologies is file sharing, with Napster as the pioneer and BitTorrent as the most recent evolution of the architecture.” (Ibid: 171) He states that,

“the bitcoin network and software are constantly evolving, so consensus attacks would be met with immediate countermeasures by the bitcoin community, making bitcoin hardier, stealthier, and more robust than ever. … In order to evolve and develop the bitcoin system, the rules have to change from time to time to accommodate new features, improvements, or bug fixes. Unlike traditional software development, however, upgrades to a consensus system are much more difficult and require coordination between all the participants.” (Ibid: 256)

Further, he argues that, “Consensus software development continues to evolve and there is much discussion on the various mechanisms for changing the consensus rules.” (Ibid: 266) We thus see a major focus on ‘evolutionary’ blockchain change.

Yet in the final paragraph of the book, Antonopolous says, “We have examined just a few of the emerging applications that can be built using the bitcoin blockchain as a trust platform. These applications expand the scope of bitcoin beyond payments and beyond financial instruments, to encompass many other applications where trust is critical. By decentralizing the basis of trust, the bitcoin blockchain is a platform that will spawn many revolutionary applications in a wide variety of industries.” (Ibid: 304) The future of blockchain, therefore might be revolutionary based on many ‘evolutions’ of the technology.

In Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy, George Gilder flip-flops back and forth between evolution and revolution with little apparent consistency, speaking about “the root-and-branch revolution of distributed peer-to-peer technology, which I call the ‘cryptocosm’,” (2018: 44) then stating that, “[t]he next wave of innovation will compress today’s parallel solutions in an evolutionary convergence of electronics and optics.” (Ibid: 58)

He suggests that, “[a] decentralized and open global rendering system is foundational for disruptive services and platforms to evolve from the post-mobile world of immersive computing, just as the open web was formed in the creation of Google, Amazon and Facebook.” (Ibid: 205) However, he also notes that, “Far beyond mere high-definition voice, 5G is the technological infrastructure for a coming revolution in networks. It enables new distributed security systems for the Internet of Things, the blockchain ledgers of the new crypto-economy of micropayments, and the augmented and virtual reality platforms of advanced Internet communications.” (Ibid: 231)

Gilder’s language seems to sometimes be more about appearance than substance, as he writes, “In the evolving technological economy, shaped by cryptographic innovations, Google is going to have to compete again.” (Ibid: 239) Further explaining, he notes that, “The revolution in cryptography has caused a great unbundling of the roles of money, promising to reverse the doldrums of the Google Age, which has been an epoch of bundling together, aggregating, all the digital assets of the world.” (Ibid: 256)

One key formulation renders his ideological views visible, reflecting his affiliation with the Discovery Institute: “The new system of the world must reverse these positions, exalting the singularities of creation: mind over matter, human consciousness over mechanism, real intelligence over mere algorithmic search, purposeful learning over mindless evolution, and truth over chance. A new system can open a heroic age of human accomplishment.” (Ibid: 272) Gilder seems to have no difficulty both denying and accepting ‘evolution’ at the same time, regardless of the fact that everyone agrees both ‘minds’ and ‘matter’ are involved in developing technologies.

Uncertainty Too From Financial Technology Leaders

Hanna Halaburda writes for the Bank of Canada (2018), saying, “The market’s excitement about blockchain technologies is growing and is perhaps best summarized in the increasingly popular slogan ‘blockchain revolution.’ It is estimated that the blockchain market size will grow from US$210 million in 2016 to over US$2 billion by 2021.” (2018: 1) Later in the paper she uses both terms, suggesting that,

“The broadening of the meaning of ‘blockchain’ to include smart contracts, encryption and distributed ledger could simply reflect the evolution of a term in a living language. However, precision matters for estimating costs and benefits, or even for predicting the best uses of blockchain technologies. Smart contracts, encryption and distributed ledger each bring different benefits. And since they can be implemented independently, an optimal solution for a particular application may include only some of these tools but not others. This may matter for the future of the blockchain revolution.” (Ibid: 5)

In conclusion, she accepts the same terminology as the Tapscotts, saying, “The blockchain revolution has brought distributed databases to the forefront and may result in wider adoption and new ideas for their use.” (Ibid: 9)

Andrea Pinna and Weibe Ruttenberg (2016) write that, “Over the last decade, information technology has contributed significantly to the evolution of financial markets, without, however, revolutionising the way in which financial institutions interact with one another. This may be about to change, as some market players are now predicting that new database technologies, such as blockchain and other distributed ledger technologies (DLTs), could be the source of an imminent revolution.” (Ibid: 2) “It is not yet, therefore, clear whether DLTs will cause a major revolution in mainstream financial markets or whether their use will remain limited to particular niches.” (Ibid: 32)

Former Chief Scientific Advisor to the British Government, Mark Walport (2016) suggests, “The development of block chain technology is but the first, though very important step towards a disruptive revolution in ledger technology that could transform the conduct of public and private sector organisations.” (2016: 10) He continues, “Regulation will need to evolve in parallel with the development of new implementations and applications of the technology” (Ibid: 12)

However, he also distinguishes a ‘revolutionary’ dimension to the technology, saying, “We are still at the early stages of an extraordinary post-industrial revolution driven by information technology. It is a revolution [that] is bringing important new benefits and risks. It is already clear that, within this revolution, the advent of distributed ledger technologies is starting to disrupt many of the existing ways of doing business.” (Ibid: 16)

And then he reverts back to evolutionary language, saying, “The terminology of this new field is still evolving, with many using the terms block chain (or blockchain), distributed ledger and shared ledger interchangeably.” (Ibid: 17) He emphasizes that, “M-Pesa challenged the notion that value transfer for exchange transactions had to be done through banks, and leapfrogged several developmental stages. But these innovations still rely on an existing hierarchical structure, using proprietary technology and trusted intermediaries. Though the change improves customer convenience, and significantly reduces costs to users and customers, this is evolution rather than revolution.” (Ibid: 54) Walport is one of the few voices insisting that changes in blockchain development are happening at a rather slower than rapid pace, which seems to determine his choice of terms.

Sam Town makes clear his preferred terminology between the two notions, stating, “While the ICO as it exists today may be gone tomorrow, the blockchain brings evolution, not revolution.” (2018) Here he seems to be suggesting that while ICOs may not last long as a credible method of fundraising, at least not without more stringent regulatory oversight, that nevertheless blockchain distributed ledger technologies will indeed have lasting and significant impact on finance and economics.

Does Evolution vs Revolution Matter?

Ugur Demirbas et al. (2018) also write to intentionally distinguish the two terms, saying, “In summary, while digital transformation shows disruptive influence on individual elements, its overall effect is rather evolutionary than revolutionary. The impact of DT in the context of the overarching corporate sourcing strategy is an incremental change than a disruptive creation of something completely new.” (2018: 8)

Again we see an explanation given that ‘evolutionary’ is preferred because of the pace (slow) and type (incremental) of change or the people’s aims and goals involved in developing the technology. They also indicate ‘disruption’ and ‘something completely new’ in their meaning of ‘revolutionary,’ which we will look at again below.

Jagjit Dhaliwal (2018) says that, “We all know that the Blockchain technology is revolutionizing our future by providing distributed networks, allowing peer-to-peer transactions without intermediaries. We have come a long way in a really short period of time from the inception of Bitcoin, one of the first cryptocurrencies based on Blockchain technology.”

He continues saying that, “Everyone is curious about which platform and cryptocurrency will win the race. The DLT landscape is changing rapidly and evolving really fast. I won’t be surprised if some of the solutions in this article will [sic] extinct soon.” Dhaliwal thus likewise shows that the pace of change impacts his choice of terms, though it is unclear how ‘rapid change’ and ‘fast evolution’ differ from ‘revolutionary.’

In a paper curiously named “The Evolution of Blockchain Development” (2017), the team at Alibaba Cloud similarly suggests that, “Blockchain as a technology has evolved rapidly in the past decade.” They continue, however, by appealing to readers: “Let us discuss a few major innovations that have revolutionized this field[11].” This is yet another example of the confusion in using the terms ‘evolution’ and ‘revolution’ when there is no clear explanation of what differentiates one from the other.

Megan Ray Nichols weighs in on the ‘revolution’ side, when she says, “blockchain is serving as a critical component in a major revolution that also includes rapid prototyping, lean manufacturing, 3D printing, & now blockchain-facilitated manufacturing & supply contracts.” (2018).

This and several of the examples above certainly do not refer to a ‘political revolution’ or ‘scientific revolution,’ but rather to an incoming ‘technological revolution’ that is supposedly happening all around us with ’emergent’ or ‘nascent’ new technologies, including, but not exclusive to blockchain. The hype surrounding blockchain with expectations in the near future, however, often seems to far exceed evidence of what has changed so far because of it.

Don Tapcott responded in an interview with McKinsey that, “the blockchain, the underlying technology, is the biggest innovation in computer science—the idea of a distributed database where trust is established through mass collaboration and clever code rather than through a powerful institution that does the authentication and the settlement[12].”

We have, of course, heard this kind of suggestive language before, so it’s not like predictions about ‘revolutionary technology’ are entirely new. One example of this harkens back to what Fred Brooks asked in 1975, if “technical developments that are most often advanced as potential silver bullets … offer revolutionary advances, or incremental ones?” (1975: 188) While not a few people have expressed inflated expectations for distributed ledger systems, we are still nevertheless waiting for a clear example of widespread usage of blockchain to be able to assess the variable speeds at which adoption can and likely will eventually take place.

With that basic background, we will now look at largely colloquial uses of the term ‘evolution’ as it relates to blockchain technology development.

Colloquial Usage of ‘Evolution’ for Blockchain Technology Development

A remarkable pattern among technology writers is to apply the term ‘evolution’ in what appears to be a basic colloquial way, suggesting no theoretical underpinning or technical meaning, and with no ideological implications. Instead, for these cases, the notion of ‘evolution’ is basically just used as a synonym for either ‘change’ (i.e. over time), ‘development,’ ‘creation’ or some kind of a general ‘process of history.’

Brigid McDermott, vice president of IBM blockchain business development, states:

“We’re asking companies to join to help evolve the solution and guide and steer its direction.”

“We’ll do PoCs [proofs-of-concept] later down the line.[1]” In this case, the verb ‘to evolve’ is meant in the same way as ‘to create,’ ‘to build’ or ‘to develop,’ without the notion of a natural genetic population, implication of a ‘struggle for life’ or ‘survival of the fittest,’ rates of mutation, variation, or other notions usually connected with ‘biological evolutionary theory.”

The Commonwealth of Learning suggests that, “When it comes to educational innovation, blockchains and ledgers are likely to lead to evolutionary gains[2].” While it is not entirely clear what they mean in this short report, we are likely supposed to gather a sense of ‘progress’ or ‘advancement’ in what they imply and suggest blockchain will lead to in the field of education.

Margaret Leigh Sinrod writes about blockchain for the World Economic Forum (2018). “The fact that banks are investing in this [blockchain] technology may sound fairly paradoxical,” she says, “given the context in which it evolved and gained traction.” In this case, the term ‘evolved’ seems to simply signify ‘history,’ i.e. that ‘something has happened’ and that blockchain now continues to persist as a phenomenon.

Dennis Sahlstrom similarly tells us that, “the evolution of blockchain arrived with Ethereum, created by Vitalik Buterin, which was an improvement of Bitcoin. This evolution added a further element which is the ability to build decentralized applications (dApps) and smart contracts to ensure that deals, transactions, and many other tasks can be performed without intermediaries.” (2018)

Here we see ‘evolution’ used as a way to symbolise a historical fact, again that ‘something has happened,’ thus indicating a new ‘stage’ of blockchain that also was ‘created. This approach might be confusing to people who accept a more technical meaning of ‘evolution’ as distinct from ‘creation’ or ‘intentional planning,’ almost sounding as if blockchain has taken on a life of its own.

John Dean Markunas from Power of Chain Consultancy continues this anthropomorphic language, suggesting that, “The [blockchain] technology itself will continue to evolve along with a wide variety of creative applications developed on top of it, similar to the development of the internet and world-wide-web[3].” This usage, while it signifies persistence and continuity, appears particularly confusing since the term ‘development’ is also used referring to the Internet, which other people claim has led to a ‘revolution’ in human society, as seen above.

Tadas Deksnys CEO and Founder of Unboxed writes that, “Though the future of ICOs is vague, the blockchain industry is still evolving and presenting new opportunities[4].” Again, we see here the notion of both history and continuity and that there is some kind of on-going process of unspecified speed, type or significance.

These are all common examples of people involved in or writing about the blockchain industry who suggest that blockchain demonstrates an ‘evolutionary’ rather than a ‘revolutionary,’ ‘developmental’ or otherwise ‘non-evolutionary’ process of change-over-time.

Frederik De Breuck (2019) says that, “its capabilities and platforms (both public and private) are rapidly evolving and blockchain and distributed ledgers remain for me (and many others) two of the most promising technology evolutions of recent decades for their potential to transform both society and enterprises.”

He uses other change-based concepts as well, such as emergence and extension, in the latter case saying, “[w]e think next year will see the ongoing evolution of these complex trust architectures and their extension beyond their organizational boundaries, into both ecosystems and society.” (Ibid) This language basically indicates something supposedly important is happening with blockchain, a description that it is growing and reaching more people in a community, network and/or ecosystem.

Reflections of What May Be Historical Precedents

Jesus Leal Trujilo et al. in their Deloitte paper (2017) base their logic in the ‘evolution’ of digital ecosystems, writing, “Our study appears to be the first empirical attempt to understand the evolution of blockchain using metadata available on GitHub … Our findings could help firms improve their ability to identify successful projects and opportunities based on how the blockchain ecosystem is evolving.” (2017: 2)

They also address the time period in terms of stages of development, saying, “At the current evolutionary stage of blockchain technology, it is likely to be in a developer’s best interest to develop, or watch the development of, blockchain solutions on open source. Blockchain appears to have a better chance to more quickly achieve rigorous protocols and standardization through open-source collaboration, which could make developing permissioned blockchains easier and better.” (Ibid: 5)

They continue, “The data scientists of Deloitte developed and honed a methodology to analyze and organize GitHub data in order to better understand the evolution of a young, possibly transformative technology and its ecosystem.” (Ibid: 15) They conclude saying, “It is our hope that these findings can arm the financial services industry with the data it may need to not only better identify successful projects and opportunities based on how the blockchain ecosystem is evolving, but to become influential participants, themselves, in how blockchain evolves.” (Ibid: 15) Thus, the promote both the development and so-called ‘evolution’ of blockchain technology based on the language of ‘ecosystem’ that loosely mimics biology.

The Systems Academy suggests about blockchain technology that, “over the past years it has been evolving fast, from the original Bitcoin protocol to the second generation Ethereum platform, to today where we are in the process of building what some call blockchain 3.0. In this evolution we can see how the technology is evolving from its initial form as essentially just a database, to becoming a fully-fledged globally distributed cloud computer.”

They add to others in this paper who suggest that, “The development and adoption of the Ethereum platform was a major step forward in the evolution of blockchain technology[5],” suggesting a kind of ‘progress’ narrative that switches between ‘development’ and ‘evolution’ and indicates improvement rather than replacement or destruction of the old system.

Stapels et al. flip back and forth between ‘development’ and ‘evolution,’ stating that, “blockchains are still a rapidly evolving technology, with ongoing developments, especially to improve scalability and confidentiality. Globally, governments, enterprises, and startups are exploring the technology/market fit in a wide variety of use cases and for a wide variety of requirements and regulatory demands.” They also suggest a present lack of knowledge towards building and maintaining trust among blockchain users, saying “There is still much that is unknown about the development of trustworthy blockchain-based systems.” (2018: 1)

Bryan Zhang writes in the Foreword to Rauchs et al. 2018, that, “the landscape of DLT itself continues its swift evolution.” Again, we see the suggestion of a continuity of some kind, as if we are in a historical period of flux and change with the rise of DLTs. In conclusion, the authors state that, “Nearly 10 years after Bitcoin entered the world, the DLT ecosystem is still in early stages: it is constantly evolving and characterised by relentless experimentation and R&D.” (2018: 92)

This usage doesn’t necessarily imply that Bitcoin arrived on its own without a creative inventor or network of users, but rather that it’s simply in a process that has yet to reach its conclusion and thus should be thought of as impermanent or temporary.

ElBarhrawy et al. (2017) “Here, we present a first complete analysis of the cryptocurrency market, considering its evolution between April 2013 and May 2017.” (Ibid: 2) They then suggest there is a theoretical underpinning one can use to study this historical period involving cryptocurrencies. “By adopting an ecological perspective, we have pointed out that the neutral model of evolution captures several of the observed properties of the market.” (Ibid: 7)

In this approach we again see usage of the term ‘evolution’ to mean ‘history,’ yet in a broader way that combines economics with ecology and push the idea of ‘ecosystem’ thinking that is also front and centre in much of the ideological blockchain evolutionism below.

Contact details: gregory.sandstrom@gmailcom

References

Arner, D.W., J.N. Barberis, R.P. Buckley (2015) “The Evolution of FinTech: A New Post-Crisis Paradigm.” 47 Geo. J. Int’l L. 1271.

Antonopolous, Andreas M. (2017). Mastering Bitcoin Programming the Open Blockchain. 2nd Edition, O’Reily.

Ashley, Michael (2019). “Forget Darwinian Evolution. Humanity May Soon Evolve Itself Through A.I.” Forbes. https://www.forbes.com/sites/cognitiveworld/2019/01/15/forget-darwinian-evolution-humanity-may-soon-evolve-itself-through-a-i/

Matthew Bardeen and Narciso Cerpa (2015). “Technological Evolution in Society – The Evolution of Mobile Devices.” https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762015000100001

Bejan, A., J.D. Charles, and S. Lorente (2014). “The Evolution of Airplanes.¨ Journal of Applied Physics, 116:044901.

Belady, L.A. And M.M. Lehman (1976). “A Model of Large Program Development.” IBM Systems Journal, 15(3): pp. 225-252.

Berg, Chris, Sinclair Davidson, and Jason Potts (2018). “Institutional Discovery and Competition in the Evolution of Blockchain Technology.” SSRN.

Berners-Lee, Tim (2000). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. New York: Harper.

Blakstad S., Allen R. (2018). “Ecosystem vs Egosystem and Revolution vs Evolution.” In: FinTech Revolution. Palgrave Macmillan, Cham.

Brooks, Fred P. (1986). “No Silver Bullet — Essence and Accident in Software Engineering.” Proceedings of the IFIP Tenth World Computing Conference: pp. 1069–1076.

Brooks, Fred (1975). The Mythical Man-Month. Addison-Wesley.

Brey, Phillip (2008). ‘Technological Design as an Evolutionary Process.” In Philosophy and Design: From Engineering to Architecture. Eds. P. Vermaas, P. Kroes, A. Light and S. Moore,  Springer.

Buitenhek, Mark (2016). “Understanding and applying Blockchain technology in banking: Evolution or revolution?” Journal of Digital Banking, Volume 1 / Number 2 / AUTUMN/FALL 2016, pp. 111-119 (9).

Campbell, Donald T. (1960). “Blind Variation and Selective Retention in Creative Thought as in other Knowledge Processes.” Psychological Review, 67: pp. 380-400.

Casey, M.J., P. Vigna (2015). “Bitcoin and the Digital-Currency Revolution.” Wall St. J.23. https://www.wsj.com/articles/the-revolutionarypower-of-digital-currency-1422035061

Chakraborty, Sumit (2018). FinTech: Evolution or Revolution. 1st Edition.

Champagne, Phil (2014). The Book of Satoshi: The Collected Writings of Bitcoin Creator Satoshi Nakamoto. E53 Publishing.

Dawkins, Richard (1986). The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe without Design. Norton & Company.

De Breuck, Frederik (2019). “Next steps in the evolution of blockchain.” https://blog.global.fujitsu.com/next-steps-in-the-evolution-of-blockchain/

Demirbas, Ugur, Heiko Gewald, Bernhard Moos  (2018). “The Impact of Digital Transformation on Sourcing Strategies in the Financial Services Sector: Evolution or Revolution?”  Twenty-forth Americas Conference on Information Systems, New Orleans.

Dhaliwal, Jagjit (2018). “The Evolution of Blockchain.” https://www.linkedin.com/pulse/evolution-blockchain-jagjit-dhaliwal-pmp/

Douthit, Chris (2018) “The Evolution of Blockchain — Where Are We?” https://hackernoon.com/the-evolution-of-blockchain-where-are-we-f0043b2d0cd0

Easley, David, Maureen O’Hara, and Soumya Basu (2017). “From Mining to Markets: The Evolution of Bitcoin Transaction Fees.” SSRN.

ElBahrawy, A., L. Alessandretti, A. Kandler, R. Pastor-Satorras, & A. Baronchelli (2017). “Evolutionary dynamics of the cryptocurrency market.” Royal Society Open Science, 4(11), 170623.

Fenwick, M., W.A. Kaal, EPM Vermeulen (2017). “Legal Education in the Blockchain Revolution.” 20 Vand. J. Ent. & Tech. L. 351.

Gilder, George (2018).  Life after Google: the Fall of Big Data and the Rise of the Blockchain Economy. Gateway Editions.

Harker, Patrick T. (2017). “FinTech: Evolution or Revolution?” Technology, Business and Government Distinguished Lecture Series.

Halaburda, Hanna (2018). Blockchain Revolution Without the Blockchain. Bank of Canada.  

Hedera Hashgraph Team (2018). “The Evolution of Possibilities.” https://www.hedera.com/blog/the-evolution-of-possibilities

Hegadekatti, Kartik (2017). “Blockchain Technology – An Instrument of Economic Evolution?” SSRN. https://mpra.ub.uni-muenchen.de/82852/

Herraiz, Israel, Daniel Rodriguez, Gregorio Robles, Jesus M. Gonzalez-Barahona (2013). “The Evolution of the Laws of Software Evolution”. ACM Computing Surveys. 46 (2): pp. 1–28.

Hochstein, Mark (2015). “BankThink: Fintech (the Word, That Is) Evolves.” https://www.americanbanker.com/opinion/fintech-the-word-that-is-evolves

Kakavand, Hossein, Nicolette Kost De Sevres and Bart Chilton (2017). “The Blockchain Revolution: An Analysis of Regulation and Technology Related to Distributed Ledger Technologies.” SSRN.

Künnapas K. (2016). “From Bitcoin to Smart Contracts: Legal Revolution or Evolution from the Perspective of de lege ferenda?” In: Kerikmäe T., Rull A. (eds) The Future of Law and eTechnologies. Springer, Cham .

Lagarde, Christine (2018). “Winds of Change: The Case for New Digital Currency.” https://www.imf.org/en/News/Articles/2018/11/13/sp111418-winds-of-change-the-case-for-new-digital-currency

Lawrie, Alexandra (2014). The Beginnings of University English Extramural Study, 1885– 1910. Palgrave Macmillan.

Lehman, Meir M. (1980). “Programs, Life Cycles, and Laws of Software Evolution”. Proc. IEEE. 68 (9): pp. 1060–1076.

Liu, Stella (2017). “Green Revolution 2.0 aims to boost rural net connectivity.” https://www.nst.com.my/opinion/columnists/2017/07/254923/green-revolution-20-aims-boost-rural-net-connectivity

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

Narayanan, Arvind and Jeremy Clark (2017). “Bitcoin’s Academic Pedigree.” Communications of the ACM, 60, 12: pp. 36-45.

Naryanyan, V. (2018). A brief history in the evolution of blockchain technology platforms.” https://hackernoon.com/a-brief-history-in-the-evolution-of-blockchain-technology-platforms-1bb2bad8960a

Nichols, Megan Ray (2018). “Blockchain: The Next Big Disruptor in the Manufacturing Industry.” https://news.thomasnet.com/featured/blockchain-the-next-big-disruptor-in-the-manufacturing-industry/

Pinna, Andrea and Wiebe Ruttenberg (2016). “Distributed Ledger Technologies in Securities Post-Trading Revolution or Evolution?” ECB Occasional Paper No. 172.

Rauchs, Michel, Andrew Glidden, Brian Gordon, Gina Pieters, Martino Recanatini, François Rostand, Kathryn Vagneur and Bryan Zhang (2018). Distributed Ledger Technology Systems: A Conceptual Framework. Cambridge Centre for Alternative Finance.

Ravikant, Naval (2017). “The Knowledge Project.” The Farnam Street Learning Company. https://fs.blog/wp-content/uploads/2017/02/Naval-Ravikant-TKP.pdf

Rose, C. (2015). “The Evolution Of Digital Currencies: Bitcoin, A Cryptocurrency Causing A Monetary Revolution.” International Business & Economics Research Journal (IBER), 14(4): pp. 617-622.

Sahlstrom, Dennis (2018). “The Future is Here – The Evolution of Blockchain.” https://toshitimes.com/the-future-is-here-the-evolution-of-blockchain/

Sandstrom, Gregory (2017). “Anyone Who Thinks Blockchain Technology is Evolving Put Your Hand Up.” https://medium.com/@gregory.sandstrom/anyone-who-thinks-blockchain-technology-is-evolving-put-your-hand-up-a80c30644894

Sandstrom, Gregory (2017a). “Enter Blockchain: The Non-Evolutionary Recovery of Genesis  in Contemporary Discussions of Innovation and Emerging Technologies.” https://medium.com/@gregory.sandstrom/enter-blockchain-the-non-evolutionary-recovery-of-genesis-in-contemporary-discussions-of-96ae135413a6

Sandstrom, Gregory (2017b). “Who Would Live in a Blockchain Society? The Rise of Cryptographically-Enabled Ledger Communities.” Social Epistemology Review and Reply Collective 6, no. 5: pp. 27-41. https://social-epistemology.com/2017/05/17/who-would-live-in-a-blockchain-society-the-rise-of-cryptographically-enabled-ledger-communities-gregory-sandstrom/

Sandstrom, Gregory (2017c). “Evolutionary Epistemology.” Wiley-Blackwell Encyclopedia of Social Theory.

Sandstrom, Gregory (2016). “Trans-Evolutionary Change Even Darwin Would Accept.” Social Epistemology Review and Reply Collective 5, no. 11, 2016: pp. 18-26.

Sandstrom, Gregory (2010). “The Extension of ‘Extension’ OR the ‘Evolution’ of Science and Technology as a Global Phenomenon.” Liberalizing Research in Science and Technology: Studies in Science Policy. Eds. Nadia Asheulova, Binay Kumar Pattnaik, Eduard Kolchinsky, Gregory Sandstrom. St. Petersburg:  Politechnika: pp. 629-655.

Sandstrom, Gregory (2010). “The Problem of Evolution: Natural-Physical or Human Social?” In Charles Darwin and Modern Biology. St. Petersburg: Institute for the History of Science and Technology, Russian Academy of Sciences: pp. 740-748.

Sinrod, Margaret Leigh (2018).  “Still don’t understand the blockchain? This explainer will help.” https://www.weforum.org/agenda/2018/03/blockchain-bitcoin-explainer-shiller-roubini

Smart, Paul R. (2012). “The Web-Extended Mind.” In Special Issue: Philosophy of the Web, Metaphilosophy, 43, (4): pp. 426-445.

Smart, P.R., & Shadbolt, N.R. (2015). “Social Machines.” In Encyclopedia of Information Science and Technology, Third Edition. IGI Global: pp. 6855-6862.

Staples, M., S. Chen, S. Falamaki, A. Ponomarev, P. Rimba, A.B. Tran, I. Weber, X. Xu, L. Zhu (2017). “Risks and Opportunities for Systems Using Blockchain and Smart Contracts.” Data61 (CSIRO).

Swan, Melanie (2015). Blockchain: Blueprint for a New Economy. Sebastopol: CA: O’Reilly.

Swanson, Burton E., Robert P. Bentz and Andrew J. Sofranko (1997). Improving Agricultural Extension: A Reference Manual. Rome: Food and Agriculture Organisation of the United Nations. http://www.fao.org/docrep/w5830e/w5830e00.htm

Szabo, Nick (2002). “Measuring Value.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/measuringvalue.html

Szabo, Nick (1996). “Smart Contracts: Building Blocks for Digital Markets.” http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart_contracts_2.html

Tapscott, Don & Alex (2016). The Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio Penguin.

Town, Sam (2018). “Beyond the ICO Part 3: Evolution Versus Revolution.” https://cryptoslate.com/beyond-the-ico-part-3-evolution-versus-revolution/

Trujillo, Jesus Leal, Stephen Fromhart & Val Srinivas (2017). “Evolution of blockchain technology Insights from the GitHub platform.” Deloitte.

Walport, Mark (2016). “Distributed Ledger Technology: beyond block chain. A report by the UK Government Chief Scientific Adviser.”

Williams, Sam (2002). “A Unified Theory of Software Evolution.” Salon.

Wright, Collin (2018). “The New Evolution Deniers.” https://quillette.com/2018/11/30/the-new-evolution-deniers/

Wright, Craig Steven (2019). “Careful what you wish for…” https://medium.com/@craig_10243/careful-what-you-wish-for-c7c2f19e6c4f

Wright, Craig Steven (2019a). https://medium.com/@craig_10243/proof-of-work-1a323e82fd9

Videos

“Alex Tapscott: Blockchain Revolution | Talks at Google” – https://www.youtube.com/watch?v=3PdO7zVqOwc

“Are Blockchains Alive? Co-evolving with Technology” – Amanda Gutterman (ConsenSys) – https://www.youtube.com/watch?v=X7GkkGTnVwA

“Block Chain Revolution | Giovanna Fessenden | TEDxBerkshires” – https://www.youtube.com/watch?v=oMhZTEQZJPI

“Bitcoin and the history of money” – “Let’s take a look at the evolution of money.” – https://www.youtube.com/watch?v=IP0jCjyrew8

“Blockchain – evolution or revolution?” –  https://www.youtube.com/watch?v=LojzPukAtmM

“Blockchain Evolution & Empowerment” – https://www.youtube.com/watch?v=eSUC9NFccNk

“Blockchain Evolution 2” – Reese Jones – https://www.youtube.com/watch?v=mCPqXHt-z0k

“Blockchain Evolution or Revolution in the Luxembourg Financial Place? – Nicolas Carey https://www.youtube.com/watch?v=Wp9FB_JQlgI

“Blockchain Evolution” – https://www.youtube.com/watch?v=CULUqgfVteg

“Blockchain Evolution” – Complexity Labs – https://www.youtube.com/watch?v=rO2LSBDekvE

“Blockchains’ Evolution by natural selection like biology’s genetics” – Reese Jones – https://www.youtube.com/watch?v=4JEFGtsu0s4

“Blockchain Evolution” – https://www.youtube.com/watch?v=tGcuJoFZLOY

“Chandler Guo on The Bitcoin & Blockchain Revolution” – https://www.youtube.com/watch?v=J7g2JFn68LU

“Cryptos Are The EVOLUTION of Money and Blockchain is the REVOLUTION of Trust! Vlog#18” – Siam Kidd – https://www.youtube.com/watch?v=-nu2F6_K0S0

“DigiByte Blockchain – The evolution of the Internet & the revolution in the financial systems” – https://www.youtube.com/watch?v=w8h10ckU0sE “The revolution has already begun.”

“Don Tapscott – The Blockchain Revolution – https://www.youtube.com/watch?v=gZEmaSbqfYQ

“Evolution of Bitcoin” – Documentary Film – https://www.youtube.com/watch?v=HUpGHOLkoXs

“Evolution of Blockchain And Its Future Moving Forward In 2018!” – https://www.youtube.com/watch?v=YWlMoxMTbDQ

“Evolution of Blockchain in India:The value of Ownership.” – Mr.Akash Gaurav – TEDxKIITUniversity – https://www.youtube.com/watch?v=BtTJmb0jYzE

“Evolution of the Blockchain Economy” – Jeremy Gardner – Startup Grind – https://www.youtube.com/watch?v=Q7cPy6ITUm4

“Future Evolution of Blockchain” – Silicon Valley TV – https://www.youtube.com/watch?v=5_6m7LYIEo4

“Future Thinkers Podcast – a podcast about evolving technology, society and consciousness. https://futurethinkers.org/

“Genetics of Blockchain Evolution” – Reese Jones – https://www.youtube.com/watch?v=8fFsmuvyXeE

“Keynote: Blockchain’s Evolution: Digital Assets are getting Physical” – FinTech Worldwide” – https://www.youtube.com/watch?v=1p5PUn4z_Gs

“How the Blockchain revolution will change our lives? | Eddy Travia | TEDxIEMadrid” https://www.youtube.com/watch?v=ErxKm0b0DIU

“How the Blockchain Revolution Will Decentralize Power and End Corruption | Brian Behlendorf” https://www.youtube.com/watch?v=Tv-XR6gXfLI

“Interview for Bitcoin And Blockchain Evolution Podcast – Sarah Herring – “Evolution – There is a Revolution coming!” https://www.youtube.com/watch?v=tIZJsFotDdg

“John McAfee on Infowars: Nothing Can Stop The Blockchain Revolution” – https://www.youtube.com/watch?v=CssU9WBHx6k

“Make the blockchain business case: Evolution, not revolution” (only title, not in video) – PWC – https://www.youtube.com/watch?v=sjr_Wqwk1SI

“The blockchain evolution, from services…to smartphones.” – Mingis on Tech – https://www.youtube.com/watch?v=jvn5zZj5IR8

“The Blockchain Evolution” – Hewlett Packard – https://www.hpe.com/us/en/insights/videos/the-evolution-of-blockchain-1712.html

“The Blockchain Evolution” – https://www.youtube.com/watch?v=TeyeKXmqQn8

“The Blockchain Evolution” – Cambridge House International” – https://www.youtube.com/watch?v=nELBTdqeKuQ

“The Evolution of Bitcoin – Bill Barhydt – Global Summit 2018 | Singularity” Universityhttps://www.youtube.com/watch?v=CZjK1i9CE6U

“The Evolution of Blockchain and Global Vision (Shanghai)” https://www.youtube.com/watch?v=56rOLarCttA

“The Evolution Of Blockchain Over The Decades” – With David Birch” https://www.youtube.com/watch?v=yC8oBJSQ6vc

“The Evolution of Blockchain technology” – Amir Assif. Microsoft Israel” – https://www.youtube.com/watch?v=f_eKp1z5hj0

“The Evolution of Blockchain: How EOS is reinventing blockchain” – https://www.youtube.com/watch?v=R8aDGf8WpKs

“The Evolution of Blockchain” – Nicola Morris – https://www.youtube.com/watch?v=aSy-UJn1G1I

“The Evolution of Blockchain” – The State of Digital Money 18′ conference” – https://www.youtube.com/watch?v=RWfNVTgbqjc

“The Blockchain Revolution – Graham Richter, Accenture” – https://www.youtube.com/watch?v=AYTmjZmsUm4

“The Blockchain Revolution | Rajesh Dhuddu | TEDxHyderabad” – https://www.youtube.com/watch?v=OrnvX92vlu8

“The Blockchain Revolution by Talal Tabaa – ECOH 2018” – https://www.youtube.com/watch?v=AvRJ1kEQ2so

“The Blockchain Revolution Changing the Rules https://www.youtube.com/watch?v=GTgG8XzcVC0

“The Blockchain Revolution in Business and Finance” – https://www.youtube.com/watch?v=3SUfz6p0a7Y

“The blockchain revolution, the ultimate industry disruptor” – https://www.youtube.com/watch?v=7hEiHR-K_KY

“The Blockchain Revolution: From Organisations to Organism | Matan Field | TEDxBreda” – https://www.youtube.com/watch?v=2OSbseTJWfY

[1] Nov. 14, 2008. https://satoshi.nakamotoinstitute.org/emails/cryptography/12/

[2] Your author of this paper received his degree in ‘Sociological Sciences’ from St. Petersburg State University in Russia, after a dissertation defense at the Sociological Institute of the Russian Academy of Science in 2010.

[3] “The gap between biological evolution and artificial systems evolution is just too enormous to expect to link the two.” – Meir Lehman (In Williams, 2002)

[4] It is most likely that none of the authors cited in this study was thinking about ‘young earth creationism’ as a position that they aimed to oppose by using the term ‘evolution.’ Similarly, no theory of ‘Intelligent Design’ as an alternative to ‘neo-Darwinism’ is at the heart of this paper’s rejection of ‘technological evolutionary’ theories.

[5] “When I use a word,” Humpty Dumpty said, in rather a scornful tone, “it means just what I choose it to mean—neither more nor less.” – Lewis Carroll (Through the Looking-Glass, 1872)

[6] Private conversation 07-02-2019.

[7] “In software engineering there is no theory. It’s all arm flapping and intuition. I believe that a theory of software evolution could eventually translate into a theory of software engineering. Either that or it will come very close. It will lay the foundation for a wider theory of software evolution.” – Lehman (In Williams 2002)

[8] “This is one of the hardest lessons for humans to learn. We cannot admit that things might be neither good nor evil, neither cruel nor kind, but simply callous – indifferent to all suffering, lacking all purpose.” … “The universe we observe has precisely the properties we should expect if there is, at bottom, no design, no purpose, no evil and no good, nothing but blind pitiless indifference.” – Richard Dawkins (River Out of Eden. Basic Books, New York, 1995: 95)

[9] https://money.cnn.com/2018/02/21/technology/canada-india-blockchain-partnership-bri-nasscom/index.html

[10] Private email, 24-02-2019.

[11] https://www.alibabacloud.com/blog/The-Evolution-of-Blockchain-Development_p73812

[12] http://www.mckinsey.com/industries/high-tech/our-insights/how-blockchains-could-change-the-world

[1] http://fortune.com/2017/08/22/walmart-blockchain-ibm-food-nestle-unilever-tyson-dole/

[2] https://www.col.org/news/news/col-promotes-blockchain-education

[3] https://www.linkedin.com/pulse/emancipation-from-ball-chain-blockchain-john-dean-markunas

[4] https://medium.com/unboxed-network/our-journey-so-far-unboxed-airdrop-update-72b63ab52631

[5] http://complexitylabs.io/evolution-of-blockchain/

Author Information: Manuel Padilla-Cruz, Universidad de Sevilla, mpadillacruz@us.es.

Padilla-Cruz, Manuel. “On the Pragmatic and Conversational Features of Venting: A Reply to Thorson and Baker.” Social Epistemology Review and Reply Collective 8, no. 2 (2019): 21-30.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-46B

Image by Rolf Dietrich Brecher via Flickr / Creative Commons

 

Juli Thorson and Christine Baker have recently set the spotlight on a verbal activity which, in their view, may yield rather positive outcomes in oppressive or discriminating environments: venting. This is claimed to play a significant role in fighting epistemic damage.

Although their discussion is restricted to cases in which women vent to other women who are acquainted with unfair epistemic practices in the asymmetrical and hierarchical social groups to which they belong, in “Venting as epistemic work” the authors contend that successful venting can make people aware of oppressive social structures, their place in them and possible solutions for the epistemic damage that those structures cause.

As a result, venting enables individuals to regain trust in their epistemic practices, author knowledge, and accept their own epistemic personhood (Thorson and Baker 2019: 8).

Damage, Personhood, and Venting

Thorson and Baker’s (2019) argumentation relies on two crucial elements. On the one hand, the notion of epistemic damage, which, in an analogous way to Tessman’s (2001) concept of moral damage, is defined as a harm curtailing an individual’s epistemic personhood. This is in turn described as the individual’s “[…] ontological standing as a knower”, “[…] the ability to author knowledge for [oneself]” (Thorson and Baker 2019: 2), or, in Borgwald’s words, “[…] the ability to think autonomously, reflect on and evaluate one’s emotion, beliefs, desires, and to trust those judgments rather than deferring to others” (2012: 73).

Epistemic damage hampers the development of a person’s knowledge-generating practices and her self-trust in her ability to implement them (Thorson and Baker 2019: 2).[1] It is inflicted when someone cannot assert her epistemic personhood because she fears that what she says will not be taken seriously. Consequently, the victim suffers testimonial smothering (Dotson 2011) and gets her self-trust diminished and her epistemic personhood undermined.

On the other hand, the authors’ argumentation is based on a differentiation of venting from both complaining and ranting. These three verbal actions are depicted as contingent on the presence of an audience, expressing “strong feelings” and conveying “agitation about some state of affairs or person” (Thorson and Baker 2019: 3), but neither complaining nor ranting are believed to involve expectations for a change in the state of affairs that gave rise to them.

Complaints, the authors say, may be left unaddressed or the solution proposed for their cause may turn out unsatisfactory and leave it unfixed, while ranting is “a kind of performance for someone” (Thorson and Baker 2019: pp.) where the ranter, far from engaging in conversation, simply exposes her views and expresses anger through a verbal outburst without concern for an ensuing reaction. Venting, in contrast, is portrayed as a testifying dialogical action that is typically performed, Thorson and Baker (2019: 4-5) think, in face-to-face interaction and where the venter does have firm expectations for subsequent remedial action against a state of affairs: denied uptake, sexist comments, silencing or undermining of cognitive authority, to name but some.

By expressing anger at (an)other individual(s) who wronged her or frustrated confusion at their actions, the venter seeks to make her audience aware of an epistemic injustice –either testimonial or hermeneutical– which negatively affects her epistemic personhood and to assert her own credibility.

Thorson and Baker (2019: 7) also distinguish two types of venting, even if these are not clear-cut and range along a continuum:

  1. Heavy-load venting, which is a lengthy, time-consuming and dramatic activity following a serious threat to epistemic personhood increasing self-distrust. It aims for recognition of credibility and reaffirmation of epistemic personhood.
  2. Maintenance venting, which is a “honing practice” requiring less epistemic work and following situations where there are “lack of uptake, dismissal, or micro-aggressions” (Thorson and Baker 2019: 7). Its goal is reinforcement or maintenance of epistemic personhood.

Despite their valuable insights, a series of issues connected with the features defining venting and characterising its two types deserve more detailed consideration in order to gain a fuller understanding of the reasons why venting can actually have the positive effects that the authors attribute to it.

Firstly, its ontology as a verbal action or speech act (Austin 1962; Searle 1969) needs ascertaining in depth with a view to properly delimiting it and adequately differentiating it from other related actions. Secondly, in addition to length and goal, a further criterion should be provided so as to more accurately characterise heavy-load and maintenance venting. Addressing the first issue will help unravel what venting really is and how it is accomplished, while dealing with the second one is fundamental for capturing the subtleties individuating the two types of venting.

What follows addresses these issues from two disciplines of linguistics: pragmatics to a great extent and conversation analysis to a lesser extent. The former, which is greatly indebted to the philosophy of language, looks into, among others, how individuals express meaning and perform a variety of actions verbally, as well as how they interpret utterances and understand meaning.

More precisely, the issues in question will be accounted for on the grounds of some postulates of Speech Act Theory (Austin 1962; Searle 1969) and contributions on complaints made from this framework. Conversation analysis, in turn, examines how individuals structure their verbal contributions with a view to transmitting meaning and how conversational structure determines interpretation. Although Thorson and Baker (2019) admit that an analysis of venting from a linguistic perspective would be fruitful, unfortunately, they did not undertake it.

1) Venting as a Speech Act

Thorson and Baker (2019) take venting, complaining and ranting to be three distinct speech acts that have in common the expression of anger. To some extent, this is right, as there is much confusion in the literature and researchers consider venting and ranting the same speech act “[…] and use the terms synonymously” (Signorelli 2017: 16). However, venting and ranting could rather be regarded as sub-types or variations of a broader, more general or overarching category of speech act: complaining.

Venting and ranting satisfy in the same way as complaining four of the twelve criteria proposed by Searle (1975) in order to distinguish specific verbal actions: namely, those pertaining to the illocutionary point of the act, the direction of fit between the speaker’s words and the external world, the expressed psychological state and the propositional content of the utterance(s) whereby a verbal action is attempted. In other words, complaining, venting and ranting share similar features stemming from the speaker’s intentionality, the relationship between what she says and the external world, her psychological state while speaking and the core meaning or import of what she says. Complaining would then be an umbrella category subsuming both venting and ranting, which would differ from it along other dimensions.

1.1) Pragmatic and Conversational Features of Complaints

Pragmatists working within the fruitful speech act-theoretic tradition (Austin 1962; Searle 1969, 1975) have made illuminating contributions on complaints, which they have classified as expressive acts wherewith the speaker, or complainer or complainant, expresses a variety of negative feelings or emotions. This is a relevant aspect unveiling illocutionary point or intentionality. Such feelings or emotions include anger, irritation, wrath, frustration, disappointment, dissatisfaction, discontent, discomfort, anxiety, despair, etc.

This is another key point, but it shows this time the expressed psychological state (Edmondson and House 1981; Laforest 2002; Edwards 2005). In fact, the expression of such feelings and emotions –a further important issue linked now to the communicated propositional content (“I am angry at/disappointed by p”)– differentiates complaints from other expressive acts like complimenting, where the expressed psychological states are positive: admiration, approval, appraisal, etc. (Wolfson and Manes 1980; Manes and Wolfson 1981).

The feelings and emotions voiced by the complainer concern some state of affairs –another person’s behaviour, appearance, traits, mood, etc., an event and, evidently, some injustice, too– which is regarded not to meet (personal) expectations or standards, or to violate sociocultural norms. The state of affairs originating the complaint is referred to as the complainable and is assessed or appraised from the complainer’s point of view, so complaints often involve a high degree of subjectivity (Edmondson and House 1981; Boxer 1993a, 1993b; Trosborg 1995). As expressive acts, complaints lack direction of fit: neither do they reflect the outer world, nor is this affected by or adapted to what the complainer says.

However, complaints could also be considered to some extent informative or representative acts, inasmuch as the complainer may make the hearer –or complainee– aware of the unsatisfactory state of affairs, which might have gone completely unnoticed or be utterly unknown to him. If so, complaints would be hybrid acts combining the expression of psychological states and the dispensing of information. Accordingly, they could have a words-to-world direction of fit because what the complainer says matches the world, at least from her perspective.

Complaints can be subdivided in various manners. A first twofold division can be made depending on whether the complainable pertains to the complainee or not. Thus, direct complaints concern a state of affairs for which the complainee is held responsible, while indirect complaints deal with one whose responsibility lies in a third party, who may be present at the conversational exchange or absent (Edmondson and House 1981; Boxer 1993a, 1993b; Trosborg 1995).

Another twofold distinction may be made depending on whether the complainer simply voices her feelings or has further intentions. Hence, complaints are retrospective acts when she just expresses her psychological states about some recent or past state of affairs without further intentions, or prospective when she also seeks to influence the complainee and bias his (future) course of action (Márquez Reiter 2005).

In discoursive, conversational terms, complaints can be made through just a single sentence that is produced as an utterance counting as the core act, or through more than one sentence and utterance, either in the same conversational turn or in different ones. Additional utterances make up pre-sequences or post-sequences, depending on their position relative to the core act, or moves, a label frequently used in the literature on conversation analysis.

Since they often lend support to the complaint by offering further details about the complainable, giving reasons for the complainer’s feelings and/or informing about her expections, those moves work as supportive moves. A core complaint and the possible supportive moves accompanying it are often arranged in adjacency pairs along with the utterances reacting to them, whereby the complainee agrees, shows his own psychological states, elaborates on the complaint or responds to it (Cutting 2002; Sidnell 2010; Padilla Cruz 2015; Clift 2016).

1.2) Characterising Venting

Following this characterisation, venting can be said to be a type of complaining on the basis of the following features: its topic or aboutness, its target, the participation of (an)other individual(s), dialogicality, length, the newness or known nature of its subject matter, and the predominance of the expressive and representative functions or the fulfilment of an additional influential or conative function. Of these, the first three features are fundamental, while the fourth and the fifth ones may be regarded as consequences of the third feature. Whereas the sixth one facilitates differentiation between types of venting, the seventh enables recognition of intentions other than simply voicing feelings about recent or past states of affairs.

Although solely produced by one individual –the complainer or venter– venting would be an indirect form of complaining that “[…] reveals underlying perspectives [on] a given topic, situation, or individual(s)” (Signorelli 2017: 2) and engages (an)other individual(s) who must share the assessment of, perspective on and feelings about the complainable, as well as be in a position to react in a particular manner or intend to do so in the (immediate) future.

Their sharing such viewpoints and feelings may prompt participation in the discoursive or conversational episode through tokens of agreement or commiseration, enquiries aimed at getting additional information about the complainable, further verbalisation of negative feelings through additional censuring, critique or irritated comments, and expression of commitment to future remedial action (Boxer 1993a).

Therefore, venting could be depicted as a dialogic phenomenon that is achieved discoursively and requires conversation, to which (an)other participant(s) contribute(s). As Signorelli puts it, “[…] venting is deliberately and necessarily communal” (2017: 17) and can therefore be described as a type of “participatory genre” (2017: 16) with a specific purpose, recognisable moves and characteristic rhetorical strategies (2017: 1).

Its dependency on the contribution of some other epistemic agent(s) makes venting be a cooperative action that is co-constructed by means of the joint endeavours of the venter and her audience. Its dialogic nature causes conversation to unfold through more than just one turn or adjacency pair, so venting episodes may be (considerably) longer variations of complaints, which may be performed by means of just one utterance or a brief sequence of utterances that is normally followed by reactions or responses.

Hence, venting would require more effort, time and verbal material enabling the venter to elaborate on her viewpoints, clearly express her feelings, refine, revise or deepen into the subject matter, and/or announce or hint her expectations. Through it the venter seeks to secure her audience’s future collaboration, which renders venting a long form of prospective complaining. In turn, the audience may show understanding, indicate their positioning as regards what is talked about and/or reveal their future intentions.

1.3) Venting and Related Actions

Venting cannot be judged to differ from complaining on the grounds of the likelihood for a solution to a problem to exist or to be plausible, as Thorson and Baker (2019) conjecture. If a solution to a problem actually exists, that is something external, extralinguistic. Whether the solution is worked out or sought for, and ends up being administered or not, are perlocutionary effects (Austin 1962) that escape the venter’s control. Indeed, although perlocutionary effects may be intended or expected, and, hence, insinuated and pursued through what is said and how it is said, whether a particular solution to a problem is actually given or not is something that totally falls under the audience’s control. Venting nevertheless displays pragmatic and conversational properties that single it out as a special manifestation of complaining.

On the other hand, venting is also distinct from ranting in that, regardless of whether ranting is a direct or indirect form of complaint, it initially excludes the participation of the audience. Ranting, therefore, is chiefly a monologic speech action characterised by its length and detail, too, but deprived of joint cooperation. It mainly is an “[…] individualistic production of identity” (Vrooman 2002: 63, quoted in Signorelli 2017) that is “[…] rooted in self-styling” (Signorelli 2017: 12) and whose mission is “[…] to establish and defend a position of social distance” (Signorelli 2017: 13).

If something distinguishes ranting, that may be the intensity, vividness and high level of irritation or agitation wherewith the complainable is presented, which results in a verbal outburst, as Thorson and Baker (2019) rightly put it. Relying on Searle’s (1975) parametres to classify speech acts, the strength with which ranting is performed certainly differentiates it from venting and also sorts it out as a peculiar manifestation of complaining. Ranting, then, differs from venting on the grounds of its narrative nature and emotional intensity (Manning 2008: 103-105; Lange 2014: 59, quoted in Signorelli 2017).

2) The Two Types of Venting

As pointed out, Thorson and Baker (2019) differentiate between heavy-load and maintenance venting. In their view, the former arises when nothing or very little is known about a disappointing, frustrating, irritating or unfair issue. The venter’s action, then, seems to be mainly aimed at informing her audience and giving details about the issue in question, as well as at making them aware of her feelings.

In turn, maintenance venting appears to correspond to the sort of trouble talk (Jefferson 1984, 1988) in which people engage every now and then when they are already acquainted with some negative issue. This distinction, therefore, may be refined by taking into account the informational load of each action, or, to put it differently, its informativeness, i.e. the newness or known nature of the complainable (Padilla Cruz 2006).

In informational terms, heavy-load venting may be more informative because either what is talked about is utterly unknown to the audience or both the venter and her audience are familiarised with it, but have not dealt with it beforehand. Both the informative –or representational– and the expressive function play a major role in this sort of venting: along with conveying her feelings the venter also dispenses information, the possession of which by the audience she considers is in her interest.

The informativeness of maintenance venting, in contrast, would be lesser, as the venter and her audience are already acquainted with a troublesome or disrupting state of affairs because they have previously discussed it in previous encounters. Although this type of venting still fulfils an informative or representational function, this is subservient to the expressive function and to an additional one: affirming or strengthening common viewpoints and feelings (Padilla Cruz 2004a, 2004b, 2005). This is essential for aligning the audience with herself or positioning them along with her as regards the complainable.

The low level of informativeness of maintenance venting and the affirmation or reinforcement of common viewpoints that it achieves render this sort of venting a phatic action in the sense of anthropologist Bronisław K. Malinowski (1923). It is of little informational relevance, if this is understood to amount to the newness or unknown nature of information, and, therefore, of scarce importance to the audience’s worldview. Even if maintenance venting does not significantly improve or alter their knowledge about the vented issue, like phatic discourse, it does nevertheless fulfil a crucial function: creating or stressing social affinity, rapport, bonds of union, solidarity and camaraderie between the venter and her audience (Padilla Cruz 2004a, 2004b, 2005).

These effects stem from venting’s implication that the interlocutors brought together have similar viewpoints and feelings about a problematic or unfair state of affairs. Maintenance venting, so to say, insinuates or highlights that the interlocutors may be equally affected by what is talked about, expect a similar reaction or react to it in a similar manner. It fosters a feeling of in-group membership through a topic with which the interlocutors are equally acquainted, which similarly impacts them and towards which they also hold akin attitudes (Padilla Cruz 2006).

Conclusion

Venting satisfies criteria that enable its classification as a manifestation of complaining behaviour. Owing to its target –a third party– topic –some recent or past state of affairs– and fulfilment of expressive, representative and conative functions, it amounts to an indirect prospective form of complaint. Its conversational features make it exceed average complaints made through just one conversational turn or adjacency pair, so venting requires more time and effort. However, if there are characteristics significantly distinguishing venting, these are dialogicality and engagement of the audience.

Venting certainly depends on the presence and participation of the audience. It must be jointly or cooperatively accomplished through dialogue, so it must be seen and portrayed as a communal action that is discoursively achieved. The audience’s participation is crucial for both the acknowledgement of a troublesome state of affairs and the achievement of the ultimate goal(s) sought for by the venter: fighting or eradicating the state of affairs in question. While dialogicality and participation of the audience facilitate differentiation between venting and another type of complaint, namely, ranting, the level of informativeness of what is vented helps more accurately distinguish between heavy-load and maintenance venting.

It is along these pragmatic and conversational features that venting may be more precisely described from a linguistic perspective. Although this description may certainly enrich our understanding of why it may have the effects that Thorson and Baker (2019) ascribe to it, other issues still need considering. They are left aside for future work.

Contact details: mpadillacruz@us.es

References

Austin, John L. How to Do Things with Words. Oxford: Oxford University Press, 1962.

Borgwald, Kristin. “Women’s Anger, Epistemic Personhood, and Self-Respect: An Application of Lehrer’s Work on Self-Trust.” Philosophical Studies 161 (2012): 69-76.

Boxer, Diana. “Complaints as Positive Strategies: What the Learner Needs to Know.” TESOL Quarterly 27 (1993a): 277-299.

Boxer, Diana. “Social Distance and Speech Behaviour: The Case of Indirect Complaints.” Journal of Pragmatics 19 (1993b): 103-105.

Clift, Rebecca. Conversation Analysis. Cambridge: Cambridge University Press, 2016.

Cutting, Joan. Pragmatics and Discourse. A Resource Book for Students. London: Routledge, 2002.

Dotson, Kristie. “Tracking Epistemic Violence, Tracking Practices of Silencing.” Hypatia 26, no. 2 (2011): 236-257.

Edmondson, Willis, and Juliane House. Let’s Talk and Talk about It. München: Urban & Schwarzenberg, 1981.

Edwards, Derek. “Moaning, Whinging and Laughing: The Subjective Side of Complaints.” Discourse Studies 7 (2005): 5-29.

Jefferson, Gail. “On Stepwise Transition from Talk about a Trouble to Inappropriately Next-positioned Matters.” In Structures of Social Action. Studies in Conversation Analysis, edited by J. Maxwell Atkinson and John Heritage, 191-222. Cambridge: Cambridge University Press, 1984.

Jefferson, Gail. “On the Sequential Organization of Troubles-Talk in Ordinary Conversation.” Social Problems 35, no. 4 (1988): 418–441.

Laforest, Marty. “Scenes of Family Life: Complaining in Everyday Conversation.” Journal of Pragmatics 34 (2002): 1595-1620.

Lange, Patricia G. “Commenting on YouTube Rants: Perceptions of Inappropriateness or Civic Engagement?” Journal of Pragmatics 73 (2014): 53-65.

Malinowski, Bronisław K. “The Problem of Meaning in Primitive Languages.” In The Meaning of Meaning. A Study of the Influence of Language upon Thought and of the Science of Symbolism, edited by Charles K. Ogden and Ivor A. Richards, 451-510. New York: Harcourt, Brace & Company, INC, 1923.

Manes, Joan, and Nessa Wolfson. “The Compliment Formula.” In Conversational Routine. Explorations in Standardized Communication Situations and Prepatterned Speech, edited by Florian Coulmas, 115-132. The Hague: Mouton, 1981.

Manning, Paul. “Barista Rants about Stupid Customers at Starbucks: What Imaginary Conversations Can Teach Us about Real Ones.” Language & Communication 28, no. 2 (2008): 101-126.

Márquez Reiter, Rosina. “Complaint Calls to a Caregiver Service Company: The Case of Desahogo.” Intercultural Pragmatics 2, no. 4 (2005): 481-514.

Padilla Cruz, Manuel. “Aproximación pragmática a los enunciados fáticos: enfoque social y cognitivo.” PhD diss., Universidad de Sevilla, 2004a.

Padilla Cruz, Manuel. “On the Social Importance of Phatic Utterances: Some Considerations for a Relevance-Theoretic Approach.” In Current Trends in Intercultural, Cognitive and Social Pragmatics, edited by Pilar Garcés Conejos, Reyes Gómez Morón, Lucía Fernández Amaya and Manuel Padilla Cruz, 199-216. Sevilla: Research Group “Intercultural Pragmatic Studies”, 2004b.

Padilla Cruz, Manuel. “On the Phatic Interpretation of Utterances: A Complementary Relevance-Theoretic Approach.” Revista Alicantina de Estudios Ingleses 18 (2005): 227-246

Padilla Cruz, Manuel. “Topic Selection for Phatic Utterances: A Relevance-Theoretic Approach.” In Usos sociales del lenguaje y aspectos psicolingüísticos: perspectivas aplicadas, edited by Joana Salazar Noguera, Mirian Amengual Pizarro and María Juan Grau, 249-256. Palma de Mallorca: Universitat de les Illes Balears, 2006.

Padilla Cruz, Manuel. “Pragmatics and Discourse Analysis.” In The Encyclopedia of Applied Linguistics, edited by Carol A. Chapelle, 1-6. Hoboken, N.J.: John Wiley & Sons, 2015.

Searle, John. Speech Acts: An Essay in the Philosophy of Language. Cambridge: Cambridge University Press, 1969.

Searle, John. “Indirect Speech Acts.” In Syntax and Semantics. Vol. 3: Speech Acts, edited by Peter Cole and Jerry Morgan, 59-82. New York: Academic Press, 1975.

Sidnell, Jack. Conversation Analysis. An Introduction. Oxford: Wiley-Blackwell, 2010

Signorelli, Julia A. “Of Pumpkin Spice Lattes, Hamplanets, and Fatspeak: The Venting Genre as Support and Subversion on Reddit’s r/Fatpeoplestories.” MA diss., The University of North Carolina at Charlotte.

Tessman, Lisa. “Critical Virtue Ethics: Understanding Oppression as Morally Damaging.” In Feminists Doing Ethics, edited by Peggy DesAultes and Joanne Waugh, 79-99. Lanham, MD: Rowman Littlefield, 2001.

Thorson, Juli, and Christine Baker. “Venting as Epistemic Work.” Social Epistemology. A Journal of Knowledge, Culture and Policy (2019).

Trosborg, Anna. Interlanguage Pragmatics. Requests, Complaints and Apologies. Berlin: Mouton de Gruyter, 1995.

Vrooman, Steven S. “The Art of Invective: Performing Identity in Cyberspace.” New Media & Society 4, no. 1 (2002): 51-70.

Wolfson, Nessa, and Joan Manes. “The Compliment as a Social Strategy.” Papers in Linguistics 13, no. 3 (1980): 391-410.

[1] The feminine third person singular personal pronoun will be used throughout this paper in order to refer to an individual adopting the role of speaker in conversational exchanges, while the masculine counterpart will be used to allude to the individual adopting that of hearer.

Author Information: Manuel Padilla Cruz, Universidad de Sevilla, mpadillacruz@us.es

Padilla Cruz, Manuel. “One Thing is Testimonial Injustice and Another Is Conceptual Competence Injustice.” Social Epistemology Review and Reply Collective 7, no. 3 (2018): 9-19.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Vi

Please refer to:

Image by Jon Southcoasting via Flickr / Creative Commons

 

Derek E. Anderson’s (2017) identification and characterisation of conceptual competence injustice has recently met some resistance from Podosky and Tuckwell (2017). They have denied the existence of this new type of epistemic injustice on the grounds that the wronging it denotes may be subsumed by testimonial injustice: “instances of conceptual competence injustice can be accurately characterised as instances of testimonial injustices” (Podosky and Tuckwell 2017: 26). Additionally, they have questioned the reasons that led Anderson (2017) to distinguish this epistemic injustice from testimonial, hermeneutical and contributory injustices (Podosky and Tuckwell 2017: 26-30).

Criticising the methodology followed by Podosky and Tuckwell (2017) in their attempt to prove that conceptual competence injustice falls within testimonial injustice, Anderson (2018) has underlined that conceptual competence injustice is a structural injustice and a form of competence injustice –i.e. an unfair misappraisal of skills– which should be retained as a distinct type of epistemic injustice because of its theoretical significance and usefulness. Causal etiology is not a necessary condition on conceptual competence injustice, he explains, and conceptual competence injustice, as opposed to testimonial injustice, need not be perpetrated by social groups that are negatively biased against a particular identity.

The unjust judgements giving rise to it do not necessarily have to be connected with testimony, even though some of them may originate in lexical problems and mistakes in the linguistic expressions a speaker resorts to when dispensing it. Accordingly, testimonial injustice and conceptual competence injustice may be said to be different kinds of injustice and have diverse effects: “It is not necessary that a person’s testimony be disbelieved, ignored, or pre-empted in an episode of CC [conceptual competence] injustice. CC injustice involves only an unjust judgment about a person’s ability to think well using certain concepts” (Anderson 2018: 31).

Welcoming the notion of conceptual competence injustice, I suggested in a previous contribution (Padilla Cruz 2017a) that it could be borrowed by the field of linguistic pragmatics in order to conceptualise an undesired perlocutionary effect of verbal interaction: misappraisals of a speaker’s actual conceptual and lexical abilities as a result of lack or misuse of vocabulary. Relying on Sperber and Wilson’s (1986/1995) description of intentional-input processing as a relevance-driven activity and of comprehension as a process of mutual parallel adjustment, where the mind carries out a series of incredibly fast simultaneous tasks that depend on decoding, inference, mindreading and emotion-reading, I also showed that those misappraisals result from deductions. A speaker’s alleged unsatisfactory performance makes manifest assumptions regarding her[1] problems with words, which are fed as weakly implicated premises to inferential processes and related to other detrimental assumptions that are made salient by prejudice.

In so doing, I did not purport to show, as Podosky and Tuckwell wrongly think, “how epistemic injustice manifests in the field of relevance theory” (2017: 23) or that “conceptual competence injustice is particularly useful in a relevance theoretical model of linguistic pragmatics” (2017: 30). Rather, my intention was to propose introducing the notion of conceptual competence injustice into general linguistic pragmatics as a mere way of labelling a type of prejudicial implicature, as they themselves rightly put it (Podosky and Tuckwell 2017: 30). The derivation of that sort of implicature, however, can be accounted for –and this is where relevance theory comes into the picture– on the basis of the cognitive processes that Sperber and Wilson’s (1986/1995) framework describes and of its conceptual apparatus.

In another contribution (Padilla Cruz 2017b), I clarified that, as a cognitive pragmatic framework, relevance theory (Sperber and Wilson 1986/1995) is concerned with the processing and comprehension of the verbal and non-verbal intentional stimuli produced in human communication. It very satisfactorily explains how hearers forge interpretative hypotheses and why they select only one of them as the plausibly intended interpretation. Relevance theorists are also interested in the generation of a variety of effects –e.g. poetic (Pilkington 2000), humorous (Yus Ramos 2016), etc.– and successfully account for them.

Therefore, the notion of conceptual competence injustice can only be useful to relevance-theoretic pragmatics as a label to refer to one of the (pernicious) effects that may originate as a consequence of the constant search for optimal relevance of intentional stimuli. I will not return to these issues here, as I consider them duly addressed in my previous contribution (Padilla Cruz 2017b).

My aim in this reply is to lend support to Anderson’s (2017) differentiation of conceptual competence injustice as a distinct type of epistemic injustice. I seek to argue that, ontologically and phenomenologically, conceptual competence injustice must be retained in the field of social epistemology as a helpful category of injustice because it refers to a wronging whose origin and scope, so to say, differ from those of testimonial injustice. Testimonial injustice stems from (mis)judgements pertaining to the output of an action or epistemic practice wherein epistemic agents may participate or be engaged. The action in question is giving testimony and its output is the very testimony given. The scope of testimonial injustice, therefore, is the product, the result of that action or epistemic practice.

In other words, testimonial injustice targets the ability to generate an acceptable product as a consequence of finding it not to satisfy certain expectations or requirements, or to be defective in some dimensions. In contrast, conceptual competence injustice denotes an unfairness that is committed not because of the output of what is done with words –i.e. informing and the dispensed information– but because of the very linguistic tools wherewith an individual performs that action –i.e. the very words that she makes use of– and supposed underlying knowledge. To put it differently, the scope of conceptual competence injustice is the lexical items wherewith testimony is dispensed, which lead prejudiced individuals to doubt the conceptual and lexical capacities of unprivileged individuals.

In order to show that the scopes of testimonial and conceptual competence injustices vary, I will be drawing from the seminal and most influential work on communication by philosopher Herbert P. Grice (1957, 1975).[2] This will also encourage me to suggest that the notion of testimonial injustice (Fricker 2003, 2007) could even be refined and elaborated on. I will argue that this injustice may also be perpetrated when a disadvantaged individual is perceived not to meet requirements pertaining to testimony other than truthfulness.

Content Characteristics or Requirements of (Good) Testimony

As an epistemic practice, dispensing testimony, or information, could be characterised, along Grice’s (1959, 1975) lines, as a cooperative activity. Testimony is given because an individual may be interested in imparting it for a variety of reasons –e.g. influencing others, appearing knowledgeable, contradicting previous ideas, etc.– and/or because it may benefit (an)other individual(s), who might (have) solicit(ed) it for another variety of reasons –e.g. learning about something, strengthening ideas, changing his worldview, etc. As an activity that brings together various individuals in joint action, providing testimony is subject to certain constraints or requirements for testimony to be properly or adequately dispensed. Let us call those constraints or requirements, using philosopher John L. Austin’s (1962) terminology, felicity conditions.

Some of those felicity conditions pertain to the individuals or interlocutors engaged in the epistemic practice. The dispenser of testimony –i.e. the speaker or informer– must obviously possess certain (true) information to dispense, have the ability to impart it and pursue some goal when giving it. In turn, the receiver of testimony should, but need not, be interested in it and make this manifest by explicit mention or elicitation of the testimony.

Other felicity conditions concern the testimony to be provided. For instance, it must be well supported, reliable and trustworthy. This is the sort of testimony that benevolent and competent informers dispense (Wilson 1999; Sperber et al. 2010), and the one on which the notion of testimonial injustice focuses (Fricker 2003, 2007). Making use again of Grice’s (1957, 1975) ideas, let us say that, for testimony to be appropriately imparted, it must satisfy a requirement of truthfulness or quality. Indeed, the maxim of quality of his Cooperative Principle prompts individuals to give information that is true and to refrain from saying falsehoods or things for which they lack adequate evidence.

But not only must testimony be truthful; for it to be properly dispensed, the information must also be both sufficient and relevant. Imagine, for instance, that someone was requested to tell the story of Little Red Riding Hood. For the narration to be complete, it should not only include details about who such a character was, where she lived, the fact that she had a grandmother who lived at some distance in the countryside, her grandmother’s conditions or their relationship, but also about what had happened to Little Red Riding Hood’s grandmother one day before receiving her visit and what happened to Little Red Riding Hood upon finding the wolf lying on the bed, disguised as the grandmother.

If the narrator mentioned the former details but omitted the latter, her narration, regardless of the fact that what she said about the characters’ identity and residence was undeniably true, would not be fully satisfactory, as it would not contain enough, necessary or expected information. Her testimony about Little Red Riding Hood would not be considered sufficient; something –maybe a key fragment– was missing for the whole story to be known, correctly understood and appraised.

Imagine now that all the details about the characters, their residence and relationship were present in the narration, but, upon introducing the wolf, the narrator started to ramble and talked about the animal spices wolves belong to, their most remarkable features, the fact that these animals are in danger of extinction in certain regions of Europe or that they were considered to have magical powers in a particular mythology. Although what the narrator said about the three characters is unquestioningly true and the story itself is told in its entirety, it would not have been told in the best way possible, as it includes excessive, unnecessary and unrelated information.

Again, along Gricean (1957, 1975) lines, it may be said that testimony must meet certain requirements or satisfy certain expectations about its quantity and relation. Actually, while his maxim of quantity incites individuals to give the expected amount of information depending on the purpose of a communicative exchange and prevents them from retaining or omitting expected or indispensable information, his maxim of relation causes them to supply information that is relevant or connected with the purpose of the exchange. Even if the provided information is true, failure to satisfy those requirements would render it inadequately given.

To the best of my knowledge, the notion of testimonial injustice as originally formulated by Fricker (2003, 2007) overlooks these requirements of quantity and relation, which solely pertain to the content of what is said. Accordingly, this injustice could also be argued to be amenable to be inflicted whenever an informer imparts unreliable or not well-evidenced information, and also when she fails to add necessary information or mentions irrelevant details or issues. If she did so, her ability to appropriately dispense information could be questioned and she could subsequently be downgraded as an informer.

Testimony from the 2009 trial of Cambodian war criminal Duch. Image by Khmer Rouge Tribunal (ECCC) via Flickr / Creative Commons

 

Manner Characteristics or Requirements of (Good) Testimony

Testimony may be claimed to be adequately given when it is true, sufficient and relevant, but there are additional requirements that testimony should meet for it to be adequately imparted. Namely, the information must be presented in an orderly, clear and unambiguous way. How would you react if, when being told the story of Little Red Riding Hood, your interlocutor gave you all the necessary, relevant and true details –and nothing more– but she changed the order of the events, did not make it clear whom the wolf attacked firstly or what Little Red Riding Hood put in her basket, or resorted to unusual, difficult or imprecise lexical terms? Probably, you would say that the story was told, but many issues would not be crystal clear to you, so you would have difficulties in having a clear picture of how, when and why the events in the story happened.

Testimony may also be considered to be well dispensed when it is given in a good manner by correctly ordering events and avoiding both obscurity and ambiguity of expression. Order, clarity and ambiguity are parameters that do not have to do with what is said –i.e. the content– but with how what is said is said –i.e. its linguistic form. Accordingly, testimony may be asserted to be correctly imparted when it meets certain standards or expectations that only concern the manner in which it is given.[3] Some of those standards or expectations are connected with the properties of the linguistic choices that the speaker makes when wording or phrasing testimony, and others are determined by cultural factors.

For example, for a narration to count as a fairy tale, it would have to begin with the traditional and recurrent formula “Once upon a time” and then proceed by setting a background that enables identification of characters and situates the events. Similarly, for an essay to be regarded as a good, publishable research paper, it must contain, in terms of structure, an abstract, an introductory section where the state of the art of the issue to be discussed is summarised, the goals of the paper are stated, the thesis is alluded to and, maybe, the structure of the paper is explained.

Then, the essay must unfold in a clear and logically connected way, through division of the contents in various sections, each of which must deal with what is referred to in its heading, etc. In terms of expression, the paper must contain technical or specialised terminology and be sufficiently understandable. Many of these expectations are motivated by specific conventions about discourse or text genres.

Inability or failure to present information in the appropriate manner or to comply with operative conventions may also incite individuals to challenge an informer’s capacity to dispense it. Although the informer may be credited with being knowledgeable about a series of issues, she may be assessed as a bad informer because her performance is not satisfactory in terms of the linguistic means she resorts to in order to address them or her abidance by governing conventions. However, since such an assessment is motivated not by the quality, quantity or relation of the content of testimony, but by the tools with and the way in which the informer produces her product, its scope or target is obviously different.

Different Scopes, Distinct Types of Epistemic Injustice

The current notion of testimonial injustice only takes into account one of the three features of (well dispensed) testimony alluded to above: namely, quality or truthfulness. A more fine-grained conceptualisation of it should also consider two other properties: quantity and relation, as long as informers’ capacity to provide testimony may be doubted if they failed to give expected information and/or said irrelevant things or added unnecessary details. Indeed, quality, quantity and relation are dimensions that are connected with the content of the very information dispensed –i.e. what is said– or the product of the epistemic practice of informing. Testimonial injustice, therefore, should be characterised as the epistemic injustice amenable to be inflicted whenever testimony is found deficient or unsatisfactory on the grounds of these three dimensions pertaining to its content.

What happens, then, with the other requirement of good testimony, namely, manner? Again, to the best of my knowledge, Fricker’s (2003, 2007) description of testimonial injustice does not refer to its likely perpetration when an individual is judged not to impart testimony in an allegedly right manner. And, certainly, this characteristic of good testimony may affect considerations about how suitably it is given.

Dispensing information in a messy, obscure and/or ambiguous way could be enough for degrading an individual as informer. She could sufficiently talk about true and relevant things, yes, but she could say them in an inappropriate way, thus hindering or impeding understanding. Should, then, the manner in which testimony is provided be used as grounds to wrong an informer or to question a person’s capacities as such? Although the manner in which testimony is imparted may certainly influence assessments thereof, there is a substantial difference.

Failure to meet requirements of quality, quantity and relation, and failure to meet requirements of manner are certainly not the same phenomenon. The former has to do with the content of what is said, with the product or result of an activity; the latter, in contrast, as the name indicates, has to do with the way in which what is said is actually said, with the tools deployed to accomplish the activity. Testimony may be incorrectly dispensed because of its falsity, insufficiency or irrelevance, but it may also be inappropriately imparted because of how it is given –this is undeniable, I would say.

The difference between quality, quantity and relation, on the one hand, and manner, on the other hand, is a difference of product and content of that product, on the one hand, and tools to create it, on the other hand. Accordingly, testimonial injustice and conceptual competence injustice should be kept apart as two distinct types of epistemic injustice because the respective scopes of the judgements where each injustice originates differ. While in the former the issue is the content of testimony, in the latter what is at stake is the means to dispense it, which unveil or suggest conceptual deficits or lack of mastery of certain concepts.

Testimony is dispensed by means of linguistic elements that somehow capture –or metarepresent, in the specialised cognitive-pragmatic terminology (Wilson 1999; Sperber 2000)– the thoughts that a speaker entertains, or the information that she possesses, and is interested in making known to an audience. Such elements are words, which are meaningful units made of strings of recognisable sounds –i.e. allophones, or contextual realisations of phonemes, in the terminology of phonetics and phonology– which make up stems and various types of morphemesprefixes, infixes and suffixes– conveying lexical and grammatical information. More importantly, words are arranged in more complex meaningful units –namely, phrases– and these, in turn, give rise to larger, and still more meaningful, units –namely, clauses and sentences. Manner is connected with the lexical units chosen and their syntactic arrangements when communicating and, for the sake of this paper, when providing testimony.

Speakers need to constantly monitor their production and their interlocutors’ reactions, which often cause them to revise what they have just said, reformulate what they are saying or are about to say, expand or elaborate on it, etc. As complex an activity as speaking is, it is not exempt of problems. At a lexical level, the speaker may fail to use the adequate words because she misses them or has trouble to find them at a particular time for a variety of factors –e.g. tiredness, absentmindedness, etc. (Mustajoki 2012). The chosen words may also diverge from those normally used by other language users in order to refer to particular concepts. This happens when speakers have mapped those concepts onto different lexical items or when they have mapped those concepts not onto single words, but onto more complex units like phrases or even whole sentences (Sperber and Wilson 1997).

The selected terms may alternatively be too general, so the audience somehow has to inferentially adjust or fine-tune their denotation because of its broadness. Consider, for example, placeholders like “that thing”, “the stuff”, etc. used to refer to something for which there is a more specific term, or hypernyms like ‘animal’ instead of the more precise term ‘duck-billed platypus’. Or, the other way round, the selected terms may be too specific, so the audience somehow has to inferentially loosen their denotation because of its restrictiveness (Carston 2002; Wilson and Carston 2007).

Above – Doggie. Image by lscott2dog via Flickr / Creative Commons

 

Think, for instance, of hyponyms like ‘doggie’ when used to refer not only to dogs, but also to other four-legged animals because of perceptual similarity –they have four legs– and conceptual contiguity –they are all animals– or ‘kitten’ when used to refer to other felines for the same reasons;[4] or imagine that terms like ‘wheel’ or ‘cookie’ were metaphorically applied to entities belonging to different, unrelated conceptual domains –e.g. the Moon– because of perceptual similarity –i.e. roundness.[5]

At a syntactic level, the linguistic structures that the speaker generates may turn out ambiguous and misleading, even though they may be perfectly clear and understandable to her. Consider, for instance, sentences like “I saw your brother with glasses”, where the ambiguity resides in the polysemy of the word ‘glasses’ (“pair of lenses” or “drinking containers”?) and the distinct readings of the fragment “your brother with glasses” (who wears/holds/carries the glasses, the hearer’s brother or the speaker?), or “Flying planes may be dangerous”, where the ambiguity stems from the competing values of the –ing form (what is dangerous, the action of piloting planes or the planes that are flying?).

At a discourse or pragmatic level, finally, speakers may be unaware of conventions governing the usage and meaning of specific structures –i.e. pragmalinguistic structures (Leech 1983)– such as “Can/Could you + verb”, whose pragmatic import is requestive and not a question about the hearer’s physical abilities, or unfamiliar with sociocultural norms and rules –i.e. sociopragmatic norms (Leech 1983)– which establish what is expectable or permitted, so to say, in certain contexts, or when, where, how and with whom certain actions may or should be accomplished or avoided.

Would we, then, say that testimony is to be doubted or discredited because of mistakes or infelicities at a lexical, syntactic or pragmatic level? Not necessarily. The information per se may be true, reliable, accurate, relevant and sufficient, but the problem resides precisely in how it is presented. Testimony would have been given, no doubt, but it would not have been imparted in the most efficient way, as the most appropriate tools are not used.

When lexical selection appears poor or inadequate; words are incorrectly and ambiguously arranged into phrases, clauses or sentences; (expected) conventionalised formulae are not conveniently deployed, or norms constraining how, when, where or whom to say things are not respected or are ignored, what is at stake is not an informer’s knowledge of the issues testimony may be about, but her knowledge of the very rudiments and conventions to satisfactorily articulate testimony and to successfully dispense it. The objects of this knowledge are the elements making up the linguistic system used to communicate –i.e. vocabulary– their possible combinations –i.e. syntax– and their usage in order to achieve specific goals –i.e. pragmatics– so such knowledge is evidently different from knowledge of the substance of testimony –i.e. its ‘aboutness’.

Real or seeming lexical problems may evidence conceptual gaps, concept-word mismatches or (highly) idiosyncratic concept-word mappings, but they may lead privileged individuals to question disadvantaged individuals’ richness of vocabulary and, ultimately, the concepts connected with it and denoted by words. If this happens, what those individuals attack is one of the sets of tools to generate an acceptable product, but not the content or essence of such a product.

Conceptual competence injustice, therefore, must be seen as targeting the tools with which testimony is created, not its content, so its scope differs from that of testimonial injustice. The scope of testimonial injustice is the truthfulness of a series of events in a narration is, as well as the amount of details that are given about those events and the relevance of those details. The scope of conceptual competence, in contrast, is knowledge and correct usage of vocabulary, and possession of the corresponding concepts.

Conceptual competence injustice focuses on a specific type of knowledge making up the broader knowledge of a language and facilitating performance in various practices, which includes informing others or dispensing testimony. Such specific knowledge is a sub-competence on which the more general, overarching competence enabling communicative performance is contingent. For this reason, conceptual competence injustice is a competence injustice, or an unfairness about a type of knowledge and specific abilities –conceptual and lexical abilities, in this case. And just as unprivileged individuals may be wronged because of their lack or misuse of words and may be attributed conceptual lacunae, occasional or constant syntactic problems and pragmatic infelicities may induce powerful individuals to misjudge those individuals as regards the respective types of knowledge enabling their performance in these areas of language.

Conclusion

Phenomenologically, testimonial injustice and conceptual competence injustice are perpetrated as a consequence of perceptions and appraisals whose respective scopes differ. In testimonial injustice, it is information that is deemed to be unsatisfactory because of its alleged veracity, quantity and relevance, so the informer is not considered a good knower of the issues pertaining to that testimony. In conceptual competence injustice, in contrast, it is the tools by means of which information is dispensed that are regarded as inappropriate, and such inappropriateness induces individuals to doubt possession and knowledge of the adequate lexical items and of their corresponding, supporting conceptual knowledge.

While testimonial injustice is inflicted as a result of what is said, conceptual competence injustice is perpetrated as a consequence of the manner whereby what is said is actually said. Consequently, at a theoretical level, testimonial injustice and conceptual competence injustice should definitely be kept apart in the field of social epistemology. The latter, moreover, should be retained as a valid and useful notion, as long as it denotes an unfairness amenable to be sustained on the grounds of the linguistic tools employed to dispense testimony and not on the grounds of the characteristics of the product generated.

Contact details: mpadillacruz@us.es

References

Anderson, Derek E. “Conceptual Competence Injustice.” Social Epistemology. A Journal of Knowledge, Culture and Policy 37, no. 2 (2017): 210-223.

Anderson, Derek E. “Yes, There Is Such a Thing as Conceptual Competence Injustice.” Social Epistemology Review and Reply Collective 7, no. 1 (2018): 26-35.

Austin, John L. How to Do Things with Words. Oxford: Oxford University Press, 1962.

Carston, Robyn. Thoughts and Utterances. The Pragmatics of Explicit Communication. Oxford: Blackwell, 2002.

Clark, Eve V. “What’s in a Word? On the Child’s Acquisition of Semantics in His First Language.” In Cognitive Development and the Acquisition of Meaning, edited by Timothy E. Moore, 65-110. New York: Academic Press, 1973.

Clark, Eve V. The Lexicon in Acquisition. Cambridge: Cambridge University Press, 1993.

Escandell Vidal, M. Victoria. “Norms and Principles. Putting Social and Cognitive Pragmatics Together.” In Current Trends in the Pragmatics of Spanish, edited by Rosina Márquez-Reiter and M. Elena Placencia, 347-371. Amsterdam: John Benjamins, 2004.

Fricker, Miranda. “Epistemic Injustice and a Role for Virtue in the Politics of Knowing.” Metaphilosophy 34, no. 1-2 (2003): 154-173.

Fricker, Miranda. Epistemic Injustice. Power & the Ethics of Knowing. Oxford: Oxford University Press, 2007.

Grice, Herbert P. “Meaning.” Philosophical Review 66 (1957): 377-388.

Grice, Herbert P. “Logic and Conversation.” In Syntax and Semantics vol. 3: Speech Acts, edited by Peter Cole and Jerry Morgan, 41-59. New York: Academic Press, 1975.

Leech, Geoffrey. Principles of Pragmatics. London: Longman, 1983.

Mustajoki, Arto. “A Speaker-oriented Multidimensional Approach to Risks and Causes of Miscommunication.” Language and Dialogue 2, no. 2 (2012): 216-243.

Padilla Cruz, Manuel. “On the Usefulness of the Notion of ‘Conceptual Competence Injustice’ to Linguistic Pragmatics.” Social Epistemology Review and Reply Collective 6, no. 4 (2017a): 12-19.

Padilla Cruz, Manuel. “Conceptual Competence Injustice and Relevance Theory, A Reply to Derek Anderson.” Social Epistemology Review and Reply Collective 6, no. 12 (2017b): 39-50.

Pilkington, Adrian. Poetic Effects. A Relevance Theory Perspective. Amsterdam: John Benjamins, 2000.

Podosky, Paul-Mikhail, and William Tuckwell. 2017. “There’s No Such Thing as Conceptual Competence Injustice: A Response to Anderson and Cruz.” Social Epistemology Review and Reply Collective 6, no. 11: 23-32.

Rescorla, Leslie. “Overextension in Early Language Development.” Journal of Child Language 7 (1980): 321-335.

Sperber, Dan (ed.). Metarepresentations: A Multidisciplinary Perspective. Oxford: Oxford University Press, 2000.

Sperber, Dan, and Deirdre Wilson. Relevance. Communication and Cognition. Oxford: Blackwell, 1986.

Sperber, Dan, and Deirdre Wilson. Relevance. Communication and Cognition. 2nd edition. Oxford: Blackwell, 1995.

Sperber, Dan, and Deirdre Wilson. “The Mapping between the Mental and the Public Lexicon.” UCL Working Papers in Linguistics 9 (1997): 107-125.

Sperber, Dan, Fabrice Clément, Christophe Heintz, Olivier Mascaro, Hugo Mercier, Gloria Origgi, and Deirdre Wilson. “Epistemic Vigilance.” Mind & Language 25, no. 4 (2010): 359-393.

Wałaszeska, Ewa. “Broadening and Narrowing in Lexical Development: How Relevance Theory Can Account for Children’s Overextensions and Underextensions.” Journal of Pragmatics 43 (2011): 314-326.

Wilson, Deirdre. “Metarepresentation in Linguistic Communication.” UCL Working Papers in Linguistics 11 (1999): 127-161.

Wilson, Deirdre, and Robyn Carston. “A Unitary Approach to Lexical Pragmatics: Relevance, Inference and Ad Hoc Concepts.” In Pragmatics, edited by Noel Burton-Roberts, 230-259. Basingstoke: Palgrave, 2007.

Yus Ramos, Francisco. Humour and Relevance. Amsterdam: John Benjamins, 2016.

[1] Reference to the speaker will be made by means of the feminine third person singular personal pronoun.

[2] The fact that the following discussion heavily relies on Grice’s (1957, 1975) Cooperative Principle and its maxims should not imply that such ‘principle’ is an adequate formalisation of how the human cognitive systems work while processing information. It should rather be seen as some sort of overarching (cultural) norm or rule subsuming more specific norms or rules, which are internalised by some social groups whose members unconsciously obey without noticing that they comply with it (Escandell Vidal 2004: 349). For extensive criticism on Grice’s (1957/1975) ideas, see Sperber and Wilson (1986/1995).

[3] Grice’s (1957, 1975) maxim of manner is articulated into four sub-maxims, which cause individuals to be (i) orderly, (ii) brief or concise, and to avoid (iii) ambiguity of expression and (iv) obscurity of expression. In my discussion, however, I have omitted considerations about brevity or conciseness because I think that these are the byproduct of the maxim of quality, with whose effects those of the manner sub-maxim of briefness overlap.

[4] This would be a type of overextension labelled over-inclusion, categorical overextension or classic overextension (Clark 1973, 1993; Rescorla 1980), where a word “[…] is applied to instances of other categories within the same or adjacent conceptual domain” (Wałaszeska 2011: 321).

[5] This would be a case of analogical extension or analogical overextension (Rescorla 1980; Clark 1993).

Author Information: Paul R. Smart, University of Southampton, ps02v@ecs.soton.ac.uk

Smart, Paul R. “(Fake?) News Alert: Intellectual Virtues Required for Online Knowledge!.” Social Epistemology Review and Reply Collective 7, no. 2 (2018): 45-55.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Uq

Please refer to:

Image by BTC Keychain via Flickr / Creative Commons

 

Richard Heersmink’s (2018) article, A virtue epistemology of the Internet: Search engines, intellectual virtues, and education, provides an important and timely analysis of the Internet from the standpoint of virtue epistemology.[1] According to Richard, the Internet is an important epistemic resource, but it is one that comes with a range of epistemic hazards. Such hazards, he suggests, motivate a consideration of the ways in which individuals should interact with the Internet.

In particular, Richard appeals to a specific branch of virtue epistemology, known as virtue responsibilism, arguing that certain kinds of cognitive trait (e.g., curiosity and open-mindedness) are useful in helping us press maximal epistemic benefit from the Internet. Given the utility of such traits, coupled with the epistemic importance of the Internet, Richard suggests that educational policy should be adapted so as to equip would-be knowers with the cognitive wherewithal to cope with the epistemic challenges thrown up by the online environment.

There is, no doubt, something right about all this. Few would disagree with the claim that a certain level of discernment and discrimination is important when it comes to the evaluation of online content. Whether such ‘virtues’ are best understood from the perspective of virtue responsibilism or virtue reliabilism is, I think, a moot point, for I suspect that in the case of both virtue responsibilism and virtue reliabilism what matters is the way in which belief-forming informational circuits are subject to active configuration by processes that may be broadly construed as metacognitive in nature (Smart, in pressa). That, however, is a minor quibble, and it is one that is of little consequence to the issues raised in Richard’s paper.

For the most part, then, I find myself in agreement with many of the assumptions that motivate the target article. I agree that the Internet is an important epistemic resource that is unprecedented in terms of its scale, scope, and accessibility. I also agree that, at the present time, the Internet is far from an epistemically safe environment, and this raises issues regarding the epistemic standing of individual Internet users. In particular, it looks unlikely that the indiscriminate selection and endorsement of online information will do much to bolster one’s epistemic credentials.

We thus encounter something of a dilemma: As an epistemic resource, the Internet stands poised to elevate our epistemic standing, but as an open and public space the Internet provides ample opportunities for our doxastic systems to be led astray. The result is that we are obliged to divide the online informational cornucopia into a treasure trove of genuine facts and a ragbag collection of ‘false facts’ and ‘fake news.’ The information superhighway, it seems, promises to expand our epistemic power and potential, but the road ahead is one that is fraught with a dizzying array of epistemic perils, problems, and pitfalls. What ought we to do in response to such a situation?

It is at this point that I suspect my own views start to diverge with those of the target article. Richard’s response to the dilemma is to focus attention on the individual agent and consider the ways in which an agent’s cognitive character can be adapted to meet the challenges of the Internet. My own approach is somewhat different. It is borne out of three kinds of doubt: doubts about the feasibility (although not the value) of virtue-oriented educational policies, doubts about the basic validity of virtue theoretic conceptions of knowledge, and doubts about whether the aforementioned dilemma is best resolved by attempting to change the agent as opposed to the environment in which the agent is embedded. As always, space is limited and life is short, so I will restrict my discussion to issues that I deem to be of greatest interest to the epistemological community.

Reliable Technology

Inasmuch as intellectual virtues are required for online knowledge—i.e., knowledge that we possess as a result of our interactions and engagements with the Internet—they are surely only part of a much  broader (and richer) story that includes details about the environment in which our cognitive systems operate. In judging the role of intellectual virtue in shielding us from the epistemic hazards of the online environment, it therefore seems important to have some understanding of the actual technologies we interact with.

This is important because it helps us understand the kinds of intellectual virtue that might be required, as well as the efficacy of specific intellectual virtues in helping us believe the truth (and thus working as virtues in the first place). Internet technologies are, of course, many and varied, and it will not be possible to assess their general relevance to epistemological debates in the present commentary. For the sake of brevity, I will therefore restrict my attention to one particular technology: blockchain.

Blockchain is perhaps best known for its role in supporting the digital cryptocurrency, Bitcoin. It provides us with a means of storing data in a secure fashion, using a combination of data encryption and data linking techniques. For present purposes, we can think of a blockchain as a connected set of data records (or data blocks), each of which contains some body of encrypted data. In the case of Bitcoin, of course, the data blocks contain data of a particular kind, namely, data pertaining to financial transactions. But this is not the only kind of data that can be stored in a blockchain. In fact, blockchains can be used to store information about pretty much anything. This includes online voting records, news reports, sensor readings, personal health records, and so on.

Once data is recorded inside a blockchain, it is very difficult to modify. In essence, the data stored within a blockchain is immutable, in the sense that it cannot be changed without ‘breaking the chain’ of data blocks, and thereby invalidating the data contained within the blockchain. This property makes blockchains of considerable epistemic significance, because it speaks to some of the issues (e.g., concerns about data tampering and malign forms of information manipulation) that are likely to animate epistemological debates in this area.

This does not mean, of course, that the information stored within a blockchain is guaranteed to be factually correct, in the sense of being true and thus yielding improvements in epistemic standing. Nevertheless, there are, I think, reasons to regard blockchain as an important technology relative to efforts to make the online environment a somewhat safer place for would-be knowers. Consider, for example, the title of the present article. Suppose that we wanted to record the fact that a person known as Paul Smart—that’s me—wrote an article with the title:

(Fake?) News Alert: Intellectual Virtues Required for Online Knowledge!

We can incorporate this particular piece of information into a blockchain using something called a cryptographic hash function, which yields a unique identifier for the block and all of its contents. In the case of the aforementioned title, the cryptographic hash (as returned by the SHA256 algorithm[2]) is:

7147bd321e79a63041d9b00a937954976236289ee4de6f8c97533fb6083a8532

Now suppose that someone wants to alter the title, perhaps to garner support for an alternative argumentative position. In particular, let’s suppose they want to claim that the title of the article is:

Fake News Alert: Intellectual Virtues Required for Online Knowledge!

From an orthographic perspective, of course, not much has changed. But the subtlety of the alteration is not something that can be used to cause confusion about the actual wording of the original title—the title that I intended for the present article. (Neither can it be used to cast doubt about the provenance of the paper—the fact that the author of the paper was a person called Paul Smart.) To see this, note that the hash generated for the ‘fake’ title looks nothing like the original:

cc05baf2fa7a439674916fe56611eaacc55d31f25aa6458b255f8290a831ddc4

It is this property that, at least in part, makes blockchains useful for recording information that might otherwise be prone to epistemically malign forms of information manipulation. Imagine, for the sake of argument, that climatological data, as recorded by globally distributed sensors, was stored in a blockchain. The immutability of such data makes it extremely difficult for anyone to manipulate the data in such a way as to confirm or deny the reality of year-on-year changes in global temperature. Neither is it easy to alter information pertaining to the provenance of existing data records, i.e., information about when, where, and how such data was generated.

None of this should delude us into thinking that blockchain technology is a panacea for Internet-related epistemic problems—it isn’t! Neither does blockchain obviate the need for agents to exercise at least some degree of intellectual virtue when it comes to the selection and evaluation of competing data streams. Nevertheless, there is, I think, something that is of crucial epistemological interest and relevance here—something that makes blockchain and other cybersecurity technologies deserving of further epistemological attention. In particular, such technologies may be seen as enhancing the epistemic safety of the online environment, and thus perhaps reducing the need for intellectual virtue.

In this sense, the epistemological analysis of Internet technologies may be best approached from some variant of modal epistemology—e.g., epistemological approaches that emphasize the modal stability of true beliefs across close possible worlds (Pritchard, 2009, chap. 2). But even if we choose to countenance an approach that appeals to issues of intellectual virtue, there is still, I suggest, a need to broaden the analytic net to include technologies that (for the time being at least) lie beyond the bounds of the individual cognitive agent.

Safety in Numbers

“From an epistemic perspective,” Richard writes, “the most salient dimension of the Internet is that it is an information space” (Heersmink, 2018, p. 5). Somewhat surprisingly, I disagree. Although it is obviously true that the Internet is an information space, it is not clear that this is its most salient feature, at least from an epistemological standpoint. In particular, there is, I suggest, a sense in which the Internet is more than just an information space. As is clear from the explosive growth in all things social—social media, social networks, social bots, and so on—the Internet functions as a social technology, yielding all manner of opportunities for people to create, share and process information in a collaborative fashion. The result, I suggest, is that we should not simply think of the Internet as an information space (although it is surely that), we should also view it as a social space.

Viewing the Internet as a social space is important because it changes the way we think about the epistemic impact of the Internet, relative to the discovery, production, representation, acquisition, processing and utilization of knowledge. Smart (in pressb), for example, suggests that some online systems function as knowledge machines, which are systems in which some form of knowledge-relevant processing is realized by a socio-technical mechanism, i.e., a mechanism whose component elements are drawn from either the social (human) or the technological realm.

An interesting feature of many of these systems is the way in which the reliability (or truth-conducive) nature of the realized process is rooted in the socio-technical nature of the underlying (realizing) mechanism. When it comes to human computation or citizen science systems, for example, user contributions are typically solicited from multiple independent users as a means of improving the reliability of specific epistemic outputs (Smart, in pressb; Smart and Shadbolt, in press; Watson and Floridi, 2018). Such insights highlight the socially-distributed character of at least some forms of online knowledge production, thereby moving us beyond the realms of individual, agent-centric analyses.

On a not altogether unrelated note, it is important to appreciate the way in which social participation can itself be used to safeguard online systems from various forms of malign intervention. One example is provided by the Google PageRank algorithm. In this case, any attempt to ‘artificially’ elevate the ranking assigned to specific contributions (e.g., a user’s website) is offset by the globally-distributed nature of the linking effort, coupled with the fact that links to a specific resource are themselves weighted by the ranking of the resource from which the link originates. This makes it difficult for any single agent to subvert the operation of the PageRank algorithm.

Even ostensibly non-social technologies can be seen to rely on the distributed and decentralized nature of the Internet. In the case of blockchain, for example, multiple elements of a peer-to-peer network participate in the computational processes that make blockchain work. In this way, the integrity of the larger system is founded on the collaborative efforts of an array of otherwise independent computational elements. And it is this that (perhaps) allows us to think of blockchain’s epistemically-desirable features as being rooted in something of a ‘social’ substrate.

All of this, I suggest, speaks in favor of an approach that moves beyond a preoccupation with the properties of individual Internet users. In particular, there seems to be considerable merit in approaching the Internet from a more socially-oriented epistemological perspective. It is easy to see the social aspects of the Internet as lying at the root of a panoply of epistemic concerns, especially when it comes to the opportunities for misinformation, deception, and manipulation. But in light of the above discussion, perhaps an alternative, more positive, take on the Internet (qua social space) starts to come into sharper focus. This is a view that highlights the way in which certain kinds of online system can work to transform a ‘vice’ into a ‘virtue,’ exploiting the social properties of the Internet for the purposes of dealing with reliability-related concerns.

Image by Dariorug via Flickr / Creative Commons

 

Filter Bubblicious

Search engines form one of the focal points of Richard’s analysis, and, as with previous work in this area, Richard finds at least some aspects of their operation to be highly problematic. A particular issue surfaces in respect of personalized search. Here, Richard’s analysis echoes the sentiments expressed by other epistemologists who regard personalized search algorithms as of dubious epistemic value.

In fact, I suspect the consensus that has emerged in this area fails to tell the whole story about the epistemic consequences of personalized search. Indeed, from a virtue epistemological position, I worry that epistemologists are in danger of failing to heed their own advice—prematurely converging on a particular view without proper consideration of competing positions. In my new-found role as the virtue epistemologist’s guardian angel (or should that be devil’s advocate?), I will attempt to highlight a couple of reasons why I think more empirical research is required before we can say anything useful about the epistemological impact of personalized search algorithms.

My first worry is that our understanding about the extent to which search results and subsequent user behavior is affected by personalization is surprisingly poor. Consider, for example, the results of one study, which attempted to quantify the effect of personalization on search results (Hannak et al., 2013). Using an empirical approach, Hannak et al. (2013) report a demonstrable personalization effect, with 11.7% of search results exhibiting differences due to personalization. Interestingly, however, the effect of personalization appeared to be greater for search results with lower rankings; highly ranked results (i.e., those appearing at the top of a list of search results) appeared to be much less affected by personalization.

This result is interesting given the observation that college students “prefer to click on links in higher positions even when the abstracts are less relevant to the task at hand” (Heersmink, 2018, p. 6). From one perspective, of course, this tendency looks like a vice that jeopardizes the epistemic standing of the individual user. And yet, from another perspective, it looks like the preference for higher ranked search results is poised to negate (or at least reduce) the negative epistemological effects of personalized search. What we seem to have here, in essence, is a situation in which one kind of ‘intellectual vice’ (i.e., a tendency to select highly-ranked search results) is playing something of a more positive (virtuous?) role in mitigating the negative epistemological sequelae of a seemingly vicious technology (i.e., personalized search).

None of this means that the epistemic effects of personalized search are to the overall benefit of individual users; nevertheless, the aforementioned results do call for a more nuanced and empirically informed approach when considering the veritistic value of search engines, as well as other kinds of Internet-related technology.

A second worry relates to the scope of the epistemological analysis upon which judgements about the veritistic value of search engines are based. In this case, it is unclear whether analyses that focus their attention on individual agents are best placed to reveal the full gamut of epistemic costs and benefits associated with a particular technology, especially one that operates in the socio-technical ecology of the Internet. To help us understand this worry in a little more detail, it will be useful to introduce the notion of mandevillian intelligence (Smart, in pressc; Smart, in pressd).

Mandevillian intelligence is a specific form of collective intelligence in which the cognitive shortcomings and epistemic vices of the individual agent are seen to yield cognitive benefits and epistemic virtues at the collective or social level of analysis, e.g., at the level of collective doxastic agents (see Palermos, 2015) or socio-epistemic systems (see Goldman, 2011). According to this idea, personalized search systems may play a productive role in serving the collective cognitive good, providing a means by which individual vices (e.g., a tendency for confirmation bias) are translated into something that more closely resembles an epistemic virtue (e.g., greater cognitive coverage of a complex space of thoughts, ideas, opinions, and so on). Consider, for example, the way in which personalized search may help to focus individual attention on particular bodies of information, thereby restricting access to a larger space of ideas, opinions, and other information.

While such forms of ‘restricted access’ or ‘selective information exposure’ are unlikely to yield much in the way of an epistemic benefit for the individual agent, it is possible that by exploiting (and, indeed, accentuating!) an existing cognitive bias (e.g., confirmation bias), personalized search may work to promote cognitive diversity, helping to prevent precipitant forms of cognitive convergence (see Zollman, 2010) and assisting with the epistemically optimal division of cognitive labor (see Muldoon, 2013). This possibility reveals something of a tension in how we interpret or evaluate the veritistic value of a particular technology or epistemic practice. In particular, it seems that assessments of veritistic value may vary according to whether our epistemological gaze is directed towards individual epistemic agents or the collective ensembles in which those agents are situated.

The Necessity of Virtue

As Richard notes, virtue epistemology is characterized by a shift in emphasis, away from the traditional targets of epistemological analysis (e.g., truth, justification and belief) and towards the cognitive properties of would-be knowers. “Virtue epistemology,” Richard writes, “is less concerned with the nature of truth and more concerned with the cognitive character of agents” (Heersmink, 2018, p. 2). This is, no doubt, a refreshing change, relative to the intellectual orientation of traditional philosophical debates.

Nevertheless, I assume that virtue epistemologists still recognize the value and priority of truth when it comes to issues of epistemic evaluation. Someone who holds false beliefs is not the possessor of knowledge, and this remains the case irrespective of whatever vices and virtues the agent has. In other words, it does not matter how careful, attentive and assiduous an agent is in selecting and evaluating information, if what the agent believes is false, they simply do not know.

What seems to be important in the case of virtue epistemology is the role that intellectual virtue plays in securing the truth of an agent’s beliefs. In particular, the central feature of virtue epistemology (at least to my mind) is that the truth of an agent’s beliefs stem from the exercise of intellectual virtue. It is thus not the case that truth is unimportant (or less important) when it comes to issues of positive epistemic standing; rather, it is the role that intellectual virtue plays in establishing the truth of an agent’s beliefs. An agent is thus a bona fide knower when they believe the truth and the truth in question is attributable to some aspect of their cognitive character, specifically, a cognitive trait (virtue responsibilism) or cognitive faculty (virtue reliabilism).

What then makes something a vice or virtue seems to be tied to the reliability of token instantiations of processes that are consistent with an agent’s cognitive character. Intellectual virtues are thus “cognitive character traits that are truth-conducive and minimalise error” (Heersmink, 2018, p. 3), while intellectual vices are characterized as “cognitive character traits that are not truth-conducive and do not minimalise error” (Heersmink, 2018, p. 3). It is this feature of the intellectual virtues—the fact that they are, in general, reliable (or give rise to reliable belief-relevant processes)—that looks to be important when it comes to issues of epistemic evaluation.

So this is what I find problematic about virtue theoretic approaches to knowledge. (Note that I am not an epistemologist by training, so this will require a generous—and hopefully virtue-inspiring swig—of the ole intellectual courage.) Imagine a state-of-affairs in which the Internet was (contrary to the present state-of-affairs) a perfectly safe environment—one where the factive status of online information was guaranteed as a result of advances in cyber-security techniques and intelligent fact-checking services. Next, let us imagine that we have two individuals, Paul and Sophia, who differ with respect to their cognitive character. Paul is the least virtuous of the two, unreflectively and automatically accepting whatever the Internet tells him. Sophia is more circumspect, wary of being led astray by (the now non-existent) fake news.

Inasmuch as we see the exercise of intellectual virtue as necessary for online knowledge, it looks unlikely that poor old Paul can be said to know very much. This is because the truth of Paul’s beliefs are not the result of anything that warrants the label ‘intellectual virtue.’ Paul, of course, does have a lot of true beliefs, but the truth of these beliefs does not stem from the exercise of his intellectual virtues—if, indeed, he has any. In fact, inasmuch as there is any evidence of virtue in play here, it is probably best attributed to the technologies that work to ensure the safety of the online environment. The factive status of Paul’s beliefs thus has more to do with the reliability of the Internet than it does with the elements of his cognitive character.

But is it correct to say that Paul has no online knowledge in this situation? Personally, I do not have this intuition. In other words, in a perfectly safe environment, I can see no reason why we should restrict knowledge attributions to agents whose beliefs are true specifically as the result of intellectual virtue. My sense is that even the most unreflective of agents could be credited with knowledge in a situation where there was no possibility of them being wrong. And if that is indeed the case, then why insist that it is only the exercise of intellectual virtue that underwrites positive epistemic standing?

After all, it seems perfectly possible, to my mind, that Sophia’s epistemic caution contributes no more to the minimization of error in an epistemically benign (i.e., safe) environment than does Paul’s uncritical acceptance. (In fact, given the relative efficiency of their doxastic systems, it may very well be the case that Sophia ends up with fewer true beliefs than Paul.) It might be claimed that this case is invalidated by a failure to consider the modal stability of an agent’s beliefs relative to close possible worlds, as well as perhaps their sensitivity to counterfactual error possibilities. But given the way in which the case is characterized, I suggest that there are no close possible worlds that should worry us—the cybersecurity and fact checking technologies are, let us assume, sufficiently robust as to ensure the modal distance of those worrisome worlds.

One implication of all this is to raise doubts about the necessity of intellectual virtue, relative to our conceptual understanding of knowledge. If there are cases where intellectual virtue is not required for positive epistemic standing, then intellectual virtue cannot be a necessary condition for knowledge attribution. And if that is the case, then why should intellectual virtue form the basis of an approach that is intended to deal with the epistemic shortcomings of the (contemporary) Internet?

Part of the attraction of virtue epistemology, I suspect, is the way in which a suite of generally reliable processes are inextricably linked to the agent who is the ultimate target of epistemic evaluation. This linkage, which is established via the appeal to cognitive character, helps to ensure the portability of an agent’s truth-tracking capabilities—it helps to ensure, in other words, that wherever the agent goes their reliable truth-tracking capabilities are sure to follow.

However, in an era where our doxastic systems are more-or-less constantly plugged into a reliable and epistemically safe environment, it is not so clear that agential capabilities are relevant to epistemic standing. This, I suggest, raises doubts about the necessity of intellectual virtue in securing positive epistemic status, and it also (although this is perhaps less clear) encourages us to focus our attention on some of the engineering efforts (as opposed to agent-oriented educational programs) that might be required to make the online world an epistemically safer place.

Conclusion

What, then, should we make of the appeal to virtue epistemology in our attempt to deal with the  epistemic hazards of the Internet. My main concern is that the appeal to virtue epistemology (and the emphasis placed on intellectual virtue) risks an unproductive focus on individual human agents at the expense of both the technological and social features of the online world. This certainly does not rule out the relevance of virtue theoretic approaches as part of our attempt to understand the epistemic significance of the Internet, but other approaches (e.g., modal reliabilism, process reliabilism, distributed reliabilism, and systems-oriented social epistemology) also look to be important.

Personally, I remain agnostic with regard to the relevance of different epistemological approaches, although I worry about the extent to which virtue epistemology is best placed to inform policy-related decisions (e.g., those relating to education). In particular, I fear that by focusing our attention on individual agents and issues of intellectual virtue, we risk overlooking some of the socio-epistemic benefits of the Internet, denigrating a particular technology (e.g., personalized search) on account of its failure to enhance individual knowledge, while ignoring the way a technology contributes to more collective forms of epistemic success.

In concluding his thought-provoking paper on virtue epistemology and the Internet, Richard suggests that “there is an important role for educators to teach and assess [intellectual] virtues as part of formal school and university curricula, perhaps as part of critical thinking courses” (Heersmink, 2018, p. 10). I have said relatively little about this particular issue in the present paper. For what it’s worth, however, I can see no reason to object to the general idea of Internet-oriented educational policies. The only caveat, perhaps, concerns the relative emphasis that might be placed on the instillation of intellectual virtue as opposed to the inculcation of technical skills, especially those that enable future generations to make the online world a safer place.

No doubt there is room for both kinds of pedagogical program (assuming they can even be dissociated). At the very least, it seems to me that the effort to resolve a problem (i.e., engineer a safer Internet) is just as important as the effort to merely cope with it (i.e., acquire a virtuous cognitive character). But, in any case, when it comes to education and learning, we should not lose sight of the fact that the Internet is itself something that is used for educational purposes. Perhaps, then, the more important point about education and the Internet is not so much the precise details of what gets taught, so much as the issue of whether the Internet (with all its epistemic foibles) is really the best place to learn.

Contact details: ps02v@ecs.soton.ac.uk

References

Goldman, A. I. (2011). A guide to social epistemology. In A. I. Goldman and D. Whitcomb (Eds.), Social Epistemology: Essential Readings, pp. 11–37. New York, New York, USA: Oxford University Press.

Hannak, A., P. Sapiezynski, A. Molavi Kakhki, B. Krishnamurthy, D. Lazer, A. Mislove, and C. Wilson (2013). Measuring personalization of Web search. In D. Schwabe, V. Almeida, H. Glaser, R. Baeza-Yates, and S. Moon (Eds.), Proceedings of the 22nd International Conference  on World Wide Web, Rio  de Janeiro, Brazil, pp. 527–538. ACM.

Heersmink, R. (2018). A virtue epistemology of the Internet: Search engines, intellectual virtues, and education. Social Epistemology 32 (1), 1–12.

Muldoon, R. (2013). Diversity and the division of cognitive labor. Philosophy Compass 8 (2), 117–125.

Palermos, S. O. (2015). Active externalism, virtue reliabilism and scientific knowledge. Synthese 192 (9), 2955–2986.

Pritchard, D. (2009). Knowledge. Basingstoke, England, UK: Palgrave Macmillan.

Smart, P. R. (in pressa). Emerging digital technologies: Implications for extended conceptions of cognition and knowledge. In A. J. Carter, A. Clark, J. Kallestrup, O. S. Palermos, and D. Pritchard (Eds.), Extended Epistemology. Oxford, UK: Oxford University Press.

Smart, P. R. (in pressb). Knowledge machines. The Knowledge Engineering Review.

Smart, P. R. (in pressc). Mandevillian intelligence. Synthese.

Smart, P. R. (in pressd). Mandevillian intelligence: From individual vice to collective virtue. In A. J. Carter, A. Clark, J. Kallestrup, O. S. Palermos, and D. Pritchard (Eds.), Socially Extended Epistemology. Oxford, UK: Oxford University Press.

Smart, P. R. and N. R. Shadbolt (in press). The World Wide Web. In J. Chase and D. Coady (Eds.), The Routledge Handbook of Applied Epistemology. New York, New York, USA: Routledge.

Watson, D. and L. Floridi (2018). Crowdsourced science: Sociotechnical epistemology in the e-research paradigm. Synthese 195 (2), 741–764.

Zollman, K. J. S. (2010). The epistemic benefit of transient diversity. Erkenntnis 72 (1), 17–35.

[1] This work is supported under SOCIAM: The Theory and Practice of Social Machines. The SOCIAM Project is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant number EP/J017728/1 and comprises the Universities of Southampton, Oxford and Edinburgh.

[2] See http://www.xorbin.com/tools/sha256-hash-calculator [accessed: 30th  January 2018].

Author Information: David Pauleen, Massey University, D.Pauleen@massey.ac.nz; David Rooney, Macquarie University, david.rooney@mq.edu.au and Ali Intezari, Massey University, A. Intezari@massey.ac.nz

Pauleen, David, David Rooney and Ali Intezari. “Big Data, Little Wisdom: Trouble Brewing? Ethical Implications for the Information Systems Discipline.” Social Epistemology Review and Reply Collective 4, no. 8 (2015): 9-33.

The PDF of the article gives specific page numbers. Shortlink: http://wp.me/p1Bfg0-2di

no_banker

Image credit: A. Golden, via flickr

Abstract

How can wisdom and its inherent drive for integration help information systems in the development of practices for responsibly and ethically managing big data, ubiquitous information, and algorithmic knowledge—particularly in their collection, integration, analysis, presentation, and use—and so make the world a better place? We use the recent financial crises to illustrate the perils of an overreliance on and misuse of data, information, and predictive knowledge when global IS are not wisely integrated. Our analysis shows that the global financial crisis was in part caused by a serious lack of integration of information with the larger context of social, cultural, economic, and political dynamics. Integration of all the variables in a global and information hungry industry is exceptionally difficult, and so ‘exceptionality’ of some kind is needed to make sufficient integration happen. Wisdom, we suggest, is the exceptionality needed to lead successful integration. We expect that a wisdom-based shift can lead to more organisationally effective and socially responsible IS.  Continue Reading…