34 karma · joined October 3, 2011
I suppose there can be some other layer of reviewer meta-review to account for this, much like the role 'acceptance rate' has come to have for journals and conferences. But, following Goodhart's law, even that has come to be gamed now that a meaning - a proxy for journal prestige or quality - has been placed on it.
[0] http://theconversation.com/five-words-that-dont-mean-what-yo...
Coordinating a mapping from reality to our internal world of ideas is hard enough without basic disagreements on the meanings of words. I find it hard to take joy, as some descriptivists do, in words that also mean their opposite!
I like the idea of writing a word and its page number inside the back cover of a book for looking up later but I never seem to have a pen to hand either.
Actually, thinking about it some more, a player's rating should increase over time as they learn, while a puzzle's (true, latent) rating should be fixed, so you should allow for that.
Edit: love the game though, nice one!
> An example of a company in which float-adjustment comes into play is Amazon (AMZN). The online retail giant's overall market cap is estimated at around $130 billion. However, only about two thirds of its shares are publicly traded. The non-publicly traded shares, controlled by insiders such as founder and CEO Jeff Bezos, would not be included when determining a company's weight in a float-adjusted index. Incidentally, a company's full market cap, including both its float and non-float shares, is used to determine whether it belongs in the index.
So it depends on the index.
[1] https://www.morningstar.co.uk/uk/news/124023/understanding-p...
You know (pub,priv). They know either (pub,priv) or (pub).
Essentially, make use of your unique (probably!) ability to sign something with your private key.
There's the issue of traffic analysis which needs to be solved - they have to reveal to you whether the key is compromised, and there's only two possible answers, so they have to be careful not to reveal it to in the traffic metadata.
Chapter 22 of David Barber's "Bayesian Reasoning and Machine Learning" (he makes it available online) does a nice (perhaps brief) job of explaining the progression through the Rasch model, the Bradley-Terry-Luce model and Elo.
As an aside, the way they chesstempo generate the exercises is also cute. The tactical chess problems are positions taken from high level (human) games fed into a chess engine which identifies blunderous moves where there is a single distinctly best way to respond. The challenge is to find that best move. Because they are taken from real games, they have the appearance and feel of real positions, which is important; many people believe pattern recognition is an important part of chess mastery. Apparently they've built up nearly 40000 such tactical exercises.