My working theory is that they were trolling.

My personal belief is that if there is a "god", he is quite probably much like a video game programmer, who can set up a universe like an MMO and let it run "infinitely" in "real-time", but, being constrained to a similar time-scale as the "players", is unable to make a large number of fine-grained adjustments to local variables at the immediate behest of said players (i.e. "answering prayers").

Given that all the 'players' are running in the universe in question, being able to make a large number of fine-grained adjustments to local variables in an instant (in-universe time) is simple; simply pause the simulation.

...unless some of you out there are actually players from outside the universe, in which case the rest of us would appreciate a hint.

Hypothesis: those directly affected by the troll policy (trolls) are more likely to have strong disapproval than those unaffected by the troll policy are to have strong approval.

Hypothesis rejected when we operationalize 'trolls' as 'low karma':

R> lwtroll <- lw[!is.na(lw$KarmaScore),]
R> lwtroll <- lwtroll[lwtroll$TrollToll=="Agree with toll" | lwtroll$TrollToll=="Disagree with toll",]
R> # disagree=3, agree=2; so:
R> # if positive correlation, higher karma associates with disagreement
R> # if negative correlation, higher karma associates with agreement
R> # we are testing hypothesis higher karma = lower score/higher agreement
R> cor.test(as.integer(lwtroll$TrollToll), lwtroll$KarmaScore, alternative="less")
Pearson's product-moment correlation
data: as.integer(lwtroll$TrollToll) and lwtroll$KarmaScore t = 1.362, df = 315, p-value = 0.9129
alternative hypothesis: true correlation is less than 0 95 percent confidence interval:
-1.0000 0.1679 sample estimates:
cor 0.07653
R> # a log-transform of the karma scores doesn't help:
R> cor.test(as.integer(lwtroll$TrollToll), log1p(lwtroll$KarmaScore), alternative="less")
Pearson's product-moment correlation
data: as.integer(lwtroll$TrollToll) and log1p(lwtroll$KarmaScore) t = 2.559, df = 315, p-value = 0.9945
alternative hypothesis: true correlation is less than 0 95 percent confidence interval:
-1.0000 0.2322 sample estimates:
cor 0.1427

Plots of the scores, regular and log-transformed:

Would someone who created a computer that created the universe count as a god? I can easily write computer games with more complex behavior than I feel capable of fully comprehending, but I would not consider that computer program an intelligent entity. I can imagine that someone more educated and with a higher mental capacity than I could similarly write a computer program that is capable of creating and maintaining in simulation a universe with the global constants and initial conditions necessary to produce intelligent life without the program actually qualifying as intelligent itself.

My personal belief is that if there is a "god", he is quite probably much like a video game programmer, who can set up a universe like an MMO and let it run "infinitely" in "real-time", but, being constrained to a similar time-scale as the "players", is unable to make a large number of fine-grained adjustments to local variables at the immediate behest of said players (i.e. "answering prayers"). Someday we may get a version 2.0 release which allows third-party plugins so players can hack the universe to answer their own prayers, but I don't place a high conditional probability on that happening within my projected lifetime.

Look again at the survey questions:

P(Supernatural)
What is the probability that supernatural events, defined as those involving ontologically basic mental entities, have occurred since the beginning of the universe?

P(God)
What is the probability that there is a god, defined as a supernatural (see above) intelligent entity who created the universe?

A simulator is not a god because gods are ontologically basic, while simulators are not.

The 2011 survey ran 33 days and collected 1090 responses. This year's survey ran 23 days and collected 1195 responses.

Why did you close it early? That seems entirely unnecessary.

One friend didn't see the survey because she hangs out on the #lesswrong channel more than the main site.

I put a link and exhortation prominently in the #lesswrong topic from the day the survey opened to the day it closed.

M (trans f->m): 3, 0.3% / F (trans m->f): 16, 1.3%

3 vs 16 seems like quite a difference, even allowing for the small sample size. Is this consistent with the larger population?

Prefer polyamorous: 155, 13.1%...NUMBER OF CURRENT PARTNERS:... [>1 partners = 4.5%]

So ~3x more people prefer polyamory than are actually engaged in it...

Referred by HPMOR: 262, 22.1%

Impressive.

gwern.net: 5 people

Woot! And I'm not even trying or linking LW especially often.

(I am also pleased by the nicotine and modafinil results, although you dropped a number in 'Never: 76.5%')

TROLL TOLL POLICY: Disapprove: 194, 16.4% Approve: 178, 15%

So more people are against than for. Not exactly a mandate for its use.

Are people who understand quantum mechanics are more likely to believe in Many Worlds? We perform a t-test, checking whether one's probability of the MWI being true depends on whether or not one can solve the Schrodinger Equation. People who could solve the equation had on average a 54.3% probability of MWI, compared to 51.3% in those who could not. The p-value is 0.26; there is a 26% probability this occurs by chance. Therefore, we fail to establish that people's probability of MWI varies with understanding of quantum mechanics.

Sounds like you did a two-tailed test. shminux's hypothesis, which he has stated several times IIRC, is that people who can solve it will not be taken in by Eliezer's MWI flim-flam, as it were, and would be less likely to accept MWI. So you should've been running a one-tailed t-test to reject the hypothesis that the can-solvers are less MWI'd. The p-value would then be something like 0.13 by symmetry.

Well, I think you can probably break it down as follows, given just the data we have:

• 0 partners
• 1 partner, looking
• 1 partner, not looking
• 2 partners+

Of those, I would say the second and fourth are unambiguously practicing poly, the third could go either way but you could say is presumptively mono, and the first probably doesn't count (since they are actively practicing neither mono nor poly.)

If someone wants to run those numbers, I'd be curious how they come out.

Were they excluded from the probabilities questions?

Any results for the calibration IQ?

I really have no idea what went so wrong [with the question about Bayes' birth year]

Note also that in the last two surveys the mean and median answers were approximately correct, whereas this time even the first quartile answer was too late by almost a decade. So it's not just a matter of overconfidence -- there also was a systematic error. Note that Essay Towards Solving a Problem in the Doctrine of Chances was published posthumously when Bayes would have been 62; if people estimated the year it was published and assumed that he had been approximately in his thirties (as I did), that would explain half of the systematic bias.