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The question might be, if you ran the experiment again, would you get the same bias, or a different one? (as in, go back to the gnab gib and .. do over)


It sounds as though the experiment calculated all possible tetrahedra with the dataset.

The null distribution was found by randomly generating similar datasets (monte carlo).

So it seems like you'd get the same result each time.

The calculation sounds stupendously complicated. I can't wait to see it in next year's advent of code with some dbag claiming a sub-seconds run time.


I also like the simulation hypothesis. :-)


I get angry when people use it to justify "all moral rules are silly we're just a simulation" -if its a good simulation, then social precepts have value, irrespective. Except for the ones I don't like of course, they're going in the v0.2 iteration..




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