Re:Brain tunes itself to criticality, maximizing information...
by pfdietz on Saturday December 07, 2019 @04:00PM
(#21732511)
I'm reminded of a story in Ulam's biography.
John von Neumann was at a talk where the presenter had put up a slide with a cloud of points, and had optimistically drawn a line through the cloud. Von Neumann muttered, "at least they lie on a plane."
Re:Brain tunes itself to criticality, maximizing information...
by hdrujvw-4579 on Saturday December 07, 2019 @04:33PM
(#21732709)
I've been meaning to read that biography. if anything for its notes about Johnny von Neumann, who strangely doesn't have a biography of his own.
https://www.amazon.com/Adventures-Mathematician-S-M-Ulam/dp/...
Re:Brain tunes itself to criticality, maximizing information...
by NortySpock on Saturday December 07, 2019 @03:18PM
(#21732335)
"6. (Mar's Law) Everything is linear if plotted log-log with a fat magic marker."
From "Akin's Laws of Spacecraft Design", https://spacecraft.ssl.umd.edu/akins_laws.html
Re:Brain tunes itself to criticality, maximizing information...
by BlueTemplar on Saturday December 07, 2019 @06:14PM
(#21733264)
You haven't RTFA, have you?
Re:Brain tunes itself to criticality, maximizing information...
by knzhou on Saturday December 07, 2019 @06:54PM
(#21733463)
Huh, I stand corrected. My original complaint still applies to >99% of criticality studies, but the field might be coming around since the last time I looked into it, 3 years ago. Skimming through the papers, I'm still skeptical of how stringent a test their 'exponent relation' really is, but it's an improvement.
Re:Brain tunes itself to criticality, maximizing information...
by Florin_Andrei on Saturday December 07, 2019 @04:55PM
(#21732825)
> But you can fit a line through anything.
Only if the sample size is small enough.
So when anybody says "we showed X was critical", they actually mean "we plotted a fuzzy cloud of data points on a log-log plot and fitted a line through it", nothing more. But you can fit a line through anything. Even a normal distribution shows up as a line on a log-log plot if your data has a small enough range.
Criticality studies trade on the reputation of physics, where the idea came from, and there it works fantastically. For instance, we can measure critical exponents for liquid/gas phase transitions to three or four significant figures, and even predict those numbers from pure theory. Applications outside of physics usually have barely one significant figure, if they're even measuring power laws at all, and no predictive theory.