Richard Zander

• Richard Zander 28 Feb 2022 19:53 UTC

  1 point

  in reply to: Richard Zander’s comment on: 12 in­ter­est­ing things I learned study­ing the dis­cov­ery of na­ture’s laws

  Oh, and statistics is not math, it’s physics. You can test the results of statistics against the real world, but math is merely consistent.

• Richard Zander 27 Feb 2022 22:10 UTC

  1 point

  on: 12 in­ter­est­ing things I learned study­ing the dis­cov­ery of na­ture’s laws

  Math is not physics. I’m not sure what math is. I kind of like Gisin’s support of intuitive math. I agree that the next billion digits of pi mean nothing real, also that there should be some constructivist dimension to the infinities in math (e.g. renormalization).

• Richard Zander 16 Sep 2021 13:07 UTC

  1 point

  in reply to: Shmi’s comment on: “Who’s In Charge? Free Will and the Science of the Brain”

  We are free to think we are free. Freedom is the opiate of the optimists, so be sour and you will be free of freedom.

• Richard Zander 13 Sep 2021 14:27 UTC

  1 point

  in reply to: gjm’s comment on: Re­view of A Map that Reflects the Territory

  Regarding digits of pi, N. Gisin promotes the constructivist idea that certain mathematical expressions mean nothing in that they do not relate to anything real. One cannot make a scientific hypothesis involving them. The hundred-billionth twenty digit sequence of pi is smaller than the Plank length.

• Richard Zander 30 Jun 2021 20:07 UTC

  1 point

  on: Is it true that most stud­ies in Kah­ne­man’s ‘Think­ing fast and slow’ are not repli­ca­ble and the book is largely not sup­ported by ev­i­dence?

  Try books by Gerd Gigerenzer (search on Amazon). I particularly like his Empire of Chance, about different schools of probability analysis. Bounded Rationality is pretty good, too. The difference between Gigerenzer’s and Tversky’s attitudes is not particularly impressive (they apparently hate each other, even though one is dead). One is decision making when in a hurry (Gigerenzer) and the other is decision-making with insufficient data (Tversky) (or maybe it’s the other way around, tedious stuff). Discussions of biases is fascinating by both authors.