On December 1, 2013, an anonymous blogger writing under the handle “Skye Grey” published an article titled “Satoshi Nakamoto is (probably) Nick Szabo” on the LikeInAMirror.wordpress.com blog. On December 5, 2013, TechCrunch’s John Biggs reported the investigation under the headline “Who Is The Real Satoshi Nakamoto? One Researcher May Have Found The Answer”, introducing the hypothesis to the broader cryptocurrency and technology press.
This is the first published stylometric case naming Nick Szabo as Satoshi Nakamoto. The identifications that followed reached the same name by other routes: the April 2014 Aston University forensic-linguistic study compared the whitepaper with the writing of eleven candidates, the May 2015 New York Times investigation by Nathaniel Popper and his book Digital Gold cited the Aston result rather than Grey’s, and the October 2018 Jeff John Roberts / Fortune feature drew on Popper’s book.
The Skye Grey methodology
Skye Grey started from the Bitcoin whitepaper and searched the web for its unusual turns of phrase, especially in places where cryptography researchers write. The search led to Szabo’s bit gold articles on Unenumerated. Grey then ran textual-similarity metrics on several pages of Szabo’s writing, the bit gold articles and his paper “Formalizing and Securing Relationships on Public Networks,” and listed the markers shared with the whitepaper in two groups:
- Content-neutral expressions: “of course” without the commas that usually set it off (“the problem of course is”), “can be characterized,” “for our purposes,” sentences starting with “It should be noted,” “preclude,” and “a level of” followed by a noun.
- Content-bearing terms that had common synonyms in the field: “timestamp server,” “trusted third party,” “cryptographic proof” and “digital signatures,” and “timestamp” used as a verb.
For four of the content-neutral expressions, Grey used Google Scholar to estimate how many cryptography papers contain each, assumed that a researcher who has an expression in their vocabulary uses it in at least one paper in ten, and multiplied the resulting shares: a researcher using all four would be about one in a thousand. Grey called the one-in-ten assumption “purely arbitrary” and left it to the reader to judge.
The article paired these stylistic findings with the prior conceptual case: Szabo’s Bit Gold proposal (conceived in 1998, fully published December 29, 2005 on Unenumerated) was the closest published precursor to Bitcoin’s architecture, and Szabo’s April 2008 Unenumerated blog comment asking for help to implement Bit Gold placed Szabo, six months before the Bitcoin whitepaper, working actively in the same problem space.
TechCrunch reception
John Biggs called Grey’s analysis “on the surface, solid” and ran his piece as a short interview. Grey told him, “I am not certain it’s Nick Szabo,” listed five lines of evidence, and put the text analysis as “only 0.1% of cryptography researchers could have produced this writing style.” The headline framed Skye Grey as “one researcher” who “may have found the answer” — adopting the analysis’s framing without endorsing it as conclusive. The piece introduced the hypothesis to a much wider readership than the LikeInAMirror blog itself reached.
Szabo’s response
Szabo did not respond publicly to the Skye Grey article at the time of publication. He later denied the identification in a 2014 email to Dominic Frisby and to Popper in 2014 and 2015. His third-person framing of Bit Gold in the May 2011 Unenumerated post “Bitcoin, what took ye so long?” predates all of them, and his position has not changed.
Skye Grey’s identity
Skye Grey writes under a pseudonym and has not publicly identified themselves. The LikeInAMirror.wordpress.com blog has one later post, “Occam’s Razor: who is most likely to be Satoshi Nakamoto?”, from March 11, 2014. The pseudonym did not keep the article out of the press: when CoinDesk reported the Aston study in April 2014, it set Grey’s findings beside it.
Methodological framing
Skye Grey’s analysis is one person’s phrase search and similarity measurement against a single candidate, with a probability estimate resting on an assumption its author called arbitrary. The April 2014 Aston University forensic-linguistic study — which independently ranked Szabo as the closest match among 11 candidates — compared more candidates and reached the same name. Bas van Dorst’s April 2024 ‘Where is Satoshi?’ open-source corpus extended the comparison to 75,000+ mailing-list authors and 7.5M+ Reddit comments, releasing the full numerical dataset, and the author explicitly declined to name a leading candidate. The 2026 John Carreyrou / NYT investigation used algorithmic large-population stylometric comparison against 620 cypherpunk-mailing-list writers and named Adam Back instead; the separately commissioned independent linguistic review by Florian Cafiero examined 12 candidates and described the result as inconclusive.
Across these four investigations, Szabo emerges as the candidate most often ranked first: Skye Grey 2013 named Szabo, Aston 2014 named Szabo, and in this site’s reanalysis of van Dorst’s published data, Szabo ranks highest of the five most-cited candidates. Cafiero / Carreyrou 2026 is the outlier in naming Adam Back — and Cafiero himself described that result as inconclusive, with Hal Finney in a near-tie. However, the convergence among named candidates is partial: van Dorst’s full 75,000-author corpus has 594 unnamed authors closer to Satoshi than Szabo. Stylometric attribution narrows the candidate space without uniquely identifying a person.
For the analytical treatment of the Nick Szabo = Satoshi hypothesis (Skye Grey’s stylometric evidence weighed against the April 2008 implementation request, the May 2011 third-person framing, the continuous Unenumerated visibility throughout 2007–2008, and Szabo’s repeated denials), see the Nick Szabo = Satoshi identity hypothesis entry.
Skye Grey’s findings are the stylometric case in the Nick Szabo identity hypothesis — the first quantitative argument of its kind, and the one any case against Szabo has to overcome.
