@kokotajlod Hahaha the attractor has been overpowered!
Just a general comment as to how crazy it is that we need an axis extending from -20 to +20 to report a GDP growth rate.
Congrats to all! I hope/assume you all consider the good you're doing the world, and the admiration you're accruing, a bigger prize than the $$$.
Interesting that this was almost a full 2 years later than what was predicted at the end of 2019 based on trends.
I'm holding off on the other LRT1.X questions as it's conceivable that the two numbers will be close enough that we can hold our nose and average or pick one without it mattering much.
I do not think that word means what you think it means.
Any thoughts? I'd lean 'yes.'
@randallburns Anyone know what the baseline for this question is? It occurs to me that (especially if "better off" is interpreted financially) most people tend to be better off as they age. So I'm not sure how to interpret this number.
I guess we should not be surprised that there seems to be a high prevalence in well-known figures, as they preferentially are the type to do a lot of international travel, meetings with people from many locations, etc. There's probably an adjustment factor from "typical person" to "well-known public figure" that would be interesting but pretty hard to estimate.
Very depressingly, the community prediction for this question has gone up a factor of 288 since March 1 until March 28, about 23% per day, which is just about how fast the cast numbers have been growing...
@ignorance.prior This feature is about to go live! Stay tuned a few days...
@bzial Will is turn out that the coronovirus was an accidental release?
@bzial Also, we'll soon have log scores assigned for numerical questions (Briers are not really defined), so that may help a bit.
Commenting here so this does not get lost in the election frakas. A nice new update is live, including private question sharing, and much improved search.
I've made the close date on this earlier as it's obviously going to resolve at > 100K and I think it's fair to leave significant weighting on the earlier part of the timeseries when this was harder to estimate.
Thanks! My favorite fail:
Q: What is the answer to "Add 34957 to 70764"?
A: 34957 to 70764 = Ah yes, 34957 is a type of cheese that is made from sheep’s milk. It’s not very popular though.