21 Matching Annotations
  1. Apr 2022
    1. Humans’ tendency to“overimitate”—to reproduce even the gratuitous elements of another’s behavior—may operate on a copy now, understand later basis. After all, there might begood reasons for such steps that the novice does not yet grasp, especially sinceso many human tools and practices are “cognitively opaque”: not self-explanatory on their face. Even if there doesn’t turn out to be a functionalrationale for the actions taken, imitating the customs of one’s culture is a smartmove for a highly social species like our own.

      Is this responsible for some of the "group think" seen in the Republican party and the political right? Imitation of bad or counter-intuitive actions outweights scientifically proven better actions? Examples: anti-vaxxers and coronavirus no-masker behaviors? (Some of this may also be about or even entangled with George Lakoff's (?) tribal identity theories relating to "people like me".

      Explore this area more deeply.

      Another contributing factor for this effect may be the small-town effect as most Republican party members are in the countryside (as opposed to the larger cities which tend to be more Democratic). City dwellers are more likely to be more insular in their interpersonal relations whereas country dwellers may have more social ties to other people and groups and therefor make them more tribal in their social interrelationships. Can I find data to back up this claim?

      How does link to the thesis put forward by Joseph Henrich in The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous? Does Henrich have data about city dwellers to back up my claim above?

      What does this tension have to do with the increasing (and potentially evolutionary) propensity of humans to live in ever-increasingly larger and more dense cities versus maintaining their smaller historic numbers prior to the pre-agricultural timeperiod?

      What are the biological effects on human evolution as a result of these cultural pressures? Certainly our cultural evolution is effecting our biological evolution?

      What about the effects of communication media on our cultural and biological evolution? Memes, orality versus literacy, film, radio, television, etc.? Can we tease out these effects within the socio-politico-cultural sphere on the greater span of humanity? Can we find breaks, signs, or symptoms at the border of mass agriculture?


      total aside, though related to evolution: link hypercycles to evolution spirals?

  2. Sep 2021
    1. Scott Sampson has argued that we should subjectify nature rather than objectifying it. People are a part of nature and integral to it. We are not separate from it and we are assuredly not above it.

      Can the injection of multi-disciplinary research and areas like big history help us to see the bigger picture? How have indigenous and oral cultures managed to do so much better than us at this? Is it the way we've done science in the past? Is it our political structures?

  3. Jun 2021
    1. Running time is asymptotically tight bound. "Asymptotically" because it matters for only large values of nnn. "Tight bound" because we've nailed the running time to within a constant factor above and below.

    2. Running time has lower bound and upper bound once the number of computations get large enough.

    3. Computation takes time to run. The notation used for running time of computations is Big-Theta.

  4. Mar 2021
  5. Feb 2021
  6. Jan 2021
  7. Oct 2020
  8. Sep 2020
  9. Aug 2020
  10. Jul 2020
  11. May 2020
  12. Jun 2016
    1. After World War II, collaboration became a defin-ing feature of ‘big science’ (Bordons & Gomez, 2000;Cronin, 1995, pp. 4 –13; Katz & Martin, 1997).

      collaboration becomes a defining feature of "big science" after the war.

  13. Jan 2016
    1. 50 Years of Data Science, David Donoho<br> 2015, 41 pages

      This paper reviews some ingredients of the current "Data Science moment", including recent commentary about data science in the popular media, and about how/whether Data Science is really di fferent from Statistics.

      The now-contemplated fi eld of Data Science amounts to a superset of the fi elds of statistics and machine learning which adds some technology for 'scaling up' to 'big data'.