The ‘creator’ of Bitcoin, Satoshi Nakamoto, is the world’s most elusive billionaire. Very few people outside of the Department of Homeland Security know Satoshi’s real name. In fact, DHS will not publicly confirm that even THEY know the billionaire’s identity. Satoshi has taken great care to keep his identity secret employing the latest encryption and obfuscation methods in his communications. Despite these efforts (according to my source at the DHS) Satoshi Nakamoto gave investigators the only tool they needed to find him — his own words.
Using stylometry one is able to compare texts to determine authorship of a particular work. Throughout the years Satoshi wrote thousands of posts and emails and most of which are publicly available. According to my source, the NSA was able to the use the ‘writer invariant’ method of stylometry to compare Satoshi’s ‘known’ writings with trillions of writing samples from people across the globe. By taking Satoshi’s texts and finding the 50 most common words, the NSA was able to break down his text into 5,000 word chunks and analyse each to find the frequency of those 50 words. This would result in a unique 50-number identifier for each chunk. The NSA then placed each of these numbers into a 50-dimensional space and flatten them into a plane using principal components analysis. The result is a ‘fingerprint’ for anything written by Satoshi that could easily be compared to any other writing.
The article itself is dubious and unsourced and borders a bit on conspiracy theory, but the underlying concept about stylometry and its implications to privacy will be interesting to many. Naturally, it’s not much new.
Rolling out to Medium users over the coming week will be a new, more satisfying way for readers to give feedback to writers. We call it “Claps.” It’s no longer simply whether you like, or don’t like, something. Now you can give variable levels of applause to a story. Maybe clap once, or maybe 10 or 20 times. You’re in control and can clap to your heart’s desire.
Yet another way to “like” a post….
This reminds me a lot of Path’s pivot to stickers. We all know how relevant it has made them since.
And all this just after Netflix, the company that has probably done more research on ranking than any other, has gone from a multi-star intent to a thumbs up/thumbs down in the past month.
Most of the measurements social media and other companies are really trying to make are signal to noise ratios as well as creating some semblance of dynamic range. A simple thumbs up creates almost no dynamic range compared to thumbs up/nothing/thumbs-down. Major platforms drive enough traffic that the SNR all comes out in the wash. Without the negative intent (dis-like, thumbs down, etc.) we’re missing out on some important data. It’s almost reminiscent to the science community only publishing their positive results and not the negative results. As a result scientific research is losing a tremendous amount of value.
We need to be more careful what we’re doing and why…