It works for me. The accounts I used long time ago are there in high positions. I guess that my style is very distinctive.
But I also have seen some accounts that seem to be from other non-native English speakers. They may even have a Latin language as their native one (I just read some of their comments, and, at minimum, some of them seem to also be from the EU). So, I guess, that it is also grouping people by their native language other than English.
So, maybe, it is grouping many accounts by the shared bias of different native-languages. Probably, we make the same type of mistakes while using English.
My guess will be that native Indian or Chinese speakers accounts will also be grouped together, for the same reason. Even more so, as the language is more different to English and the bias probably stronger.
It would be cool that Australians, British, Canadians tried the tool. My guess is that the probability of them finding alt-accounts is higher as the populations is smaller and the writing more distinctive than Americans.
Thanks for sharing the projects. It is really interesting.
Also, do not trust the comments too much. There is an incentive to lie as to not acknowledge alt-accounts if they were created to remain hidden.
I discover 2 people in my top 20 who I can bet are from the same country as me and it is not a big country.
> Probably, we make the same type of mistakes while using English.
That is most likely the case. Case in point: My native language doesn't have articles, so locally they're a common source of mistakes in English.
It would be fun to have a tool try guess your native language, based on your English writing.
I noticed that it also depends on the vendor of the autocorrect/dictionary you're using.
The project referenced in the post put me next to Brits on the similarity list and indeed I am using an English(UK) dictionary. Meanwhile this iteration aligns me with Americans despite the only change being the vendor (formerly Samsung, now Google).
I guess the Samsung keyboard corrects to proper Bri'ish.
I picked up the language as a child from a collection of people, half of whom weren't native speakers, so I don't speak any specific dialect.
Didn't catch my original account when I tried it, not anywhere in top 100.
But, if I do the reverse (search using my original account), this one shows up as #2.
The main difference between the accounts is this one has a lot more posts, and my original account was actively posting ~11 years ago.
I never knew A can be like B without B being like A.
The matching score is probably the same, or very close in both ways, but this fact does not necessarily help in a three-way scenario:
When you search for A the best match will be C, but if you start with B it will be A. If one of the accounts has a smaller sample set as in GP's case, the gap could be quite big.I'm still in disbelief. I think one should run the operation in reverse after obtaining result set.