In a properly-operating democracy, politicians require votes to be elected; money helps, but isn't sufficient.
The 1% may have 50% (or more) of the money, but they only have 1% of the votes. The 99% (or rather, those members of the 99% who vote as if they're in the 1%) need to exert their power at the polling booth.
I studied Latin in school, and we studied Catullus 85 and 5 (which is mentioned in 16).
We discovered there was a book of English translations of Catullus in the library, which we used to "help" with our homework. I'm pretty sure it didn't contain 16, because we would definitely have noticed. :p
The Mercury compiler is written in Mercury, which is syntactically derived from Prolog. The original compiler was bootsrapped by stripping the non-Prolog parts from the code and executing it on NU-Prolog. The compiler first successfully compiled itself in 1995, after which NU-Prolog was no longer needed.
And just to tie this back to the original topic, Leon Sterling (first author of The Art of Prolog) was the head of the Department of Computer Science at the University of Melbourne when the development of Mercury began there.
But before you do, push back against the founder. The next time he pushes directly to master, immediately revert the commit, but cherry-pick it over to a development or staging branch instead. Then notify him what you've done and why (including that you're trying to prevent breaking changes being made on master, like happened previously).
How the founder responds to this will determine whether you leave, or whether you stay a bit longer and perhaps gain the founder's trust. But still expect you'll have to leave. :/
Even further OT: I was good friends with Frank Calegari's older brother (also a mathematician) at school, and used to play bridge with Frank at university. I'm not a mathematician but I do sometimes read articles when they're posted on HN, so it was a surprise to see someone I know mentioned. :p
What tosh. Of course we can predict the future... and sometimes our prediction is correct.
Data compression works by modelling the data stream and predicting the next symbol based on that model, and then recording in an efficient way the degree to which the prediction was correct. The comparison between the prediction and the actual outcome is the key point -- just as it is in the article.
Embarking on a complete rewrite just to make deployment easier seems odd -- deploying Python code might be trickier than code in some other language, but it's not that hard.
From a quick look at the Sagefy code, it seems you've written your own web framework, including your own database layer. Was there a particular reason you didn't use a framework like Django?
The generally accepted definition of autism spectrum disorder is that in DSM-V. This physiological test is compared against ASD diagnoses based on DSM-V, and based on that comparison, the accuracy of the test (for the given sample tested) is calculated.
As more is known about the condition, the diagnostic criteria listed in the DSM could be updated, which would mean that this test would then need to be evaluated again. But that doesn't prevent its current accuracy being measured.