10:30 ... 10:57 "wenn wirklich etwas passiert wo 50% sterben<br /> dann sollen die menschen dem gesundheitsamt glauben und sich impfen lassen."<br /> fuck no. alle impfungen sind falsch. auch alle schulmedizin ist falsch.<br /> alles nur "big pharma" also chemische waffen gegen dumme zivilisten, "to increse the death rate".<br /> also spar dir deine schwulen reformen, deine schwule rettung der "wissenschaft".<br /> utopia: "leave malaria alone! malaria is doing a great job."<br /> einfach mal ebola loslassen, locker 50% fatality rate... wir haben eeh 95% zu viel, fact

Will artificial intelligence create useless class of people? - Yuval Noah Harari

1:00 "bring the latest findings of science of the public", otherwise the public space "gets filled with conspiracy theories and fake news and whatever".<br /> he fails to mention that ALL his beautiful "scientists" are financially dependent on corporations, who dictate the expected results, and who sabotage "unwanted research".<br /> for example, the pharma industry will NEVER pay money for research of natural cancer cures, or "alternative" covid cures like ivermectin / zinc / vitamin C, because these cures have no patent, so there is no profit motive, and also because the "militant pacifists" want to fix overpopulation this way.<br /> a "scientist" should be someone, who has all freedom to propose hypotheses, which then are tested in experiments (peer review), and compared to real placebo control groups. because that is science, or "the scientific method". everything else is lobbying for "shekel shekel".

• for: adjacency: adjacency - monotheistic religions and maerialism
• adjacency between
  • monotheistic religion
  • materialist / physicalist scientific theories
• adjacency statement:
  • Good observation of an adjacency, although not all religions hold those views, and even in those religions, those are those views are held by less critical thinkers.
    • In the more contemplative branches of major world religions, there is a lot of deep, critical thinking that is not so naive.

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?

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?

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.

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

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

Airaksinen, J., Komulainen, K., Jokela, M., & Gluschkoff, K. (2021). Big Five personality traits and COVID-19 precautionary behaviors among older adults in Europe [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rvbjf

Imagining the Next Decade of Behavioral Science. (2020, January 20). Behavioral Scientist. https://behavioralscientist.org/imagining-the-next-decade-future-of-behavioral-science/

Zacher, H., & Rudolph, C. (2021, January 26). Big Five Traits as Predictors of Stressfulness During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/nyd8a

Brous, P., & Janssen, M. (2020). Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes. Administrative Sciences, 10(4), 81. https://doi.org/10.3390/admsci10040081

AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus

Davis, N., & Boseley, S. (2020, October 9). Coronavirus: At least three-quarters of people in UK fail to self-isolate. The Guardian. https://www.theguardian.com/world/2020/oct/09/covid-in-england-latest-figures-suggest

Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42

Green, J., Edgerton, J., Naftel, D., Shoub, K., & Cranmer, S. J. (2020). Elusive consensus: Polarization in elite communication on the COVID-19 pandemic. Science Advances, eabc2717. https://doi.org/10.1126/sciadv.abc2717

Peterson, David, and Aaron Panofsky. ‘Metascience as a Scientific Social Movement’. Preprint. SocArXiv, 4 August 2020. https://doi.org/10.31235/osf.io/4dsqa.

La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x

Science Magazine on Twitter: “Democrats & Republicans have seemingly taken a divided stance on how to handle the #COVID19 pandemic, & their Twitter accounts might provide the best evidence to date. Watch the latest video from our #coronavirus series on research from @ScienceAdvances: https://t.co/BSCdWS011J https://t.co/sJyF357wje” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/sciencemagazine/status/1276282194596675590

Fontana, M., Iori, M., Montobbio, F., & Sinatra, R. (2020). New and atypical combinations: An assessment of novelty and interdisciplinarity. Research Policy, 49(7), 104063. https://doi.org/10.1016/j.respol.2020.104063

Zdeborová, L. (2020). Understanding deep learning is also a job for physicists. Nature Physics, 1–3. https://doi.org/10.1038/s41567-020-0929-2

The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/

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

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 different 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'.