Bayes is lean

an ignorant definition lerts me understand Bayes success in recent times

“Bayes’ core insight of gradually getting closer to the truth by constantly updating in proportion to the weight of the evidence” really lean statistics 🙂

the quote from Tetlock book on Superforecasters, I haven t read it. I neither read Lean startup, I don’t really remeber Bayes Theorem so I might be wrong in putting together things I do not study, but still the quote is suggestive

It come from here https://arbital.com/p/bayes_rule/?l=1zq

I did not know arbital, it is in less wrong territory I guess, I am going to study Bayes there

BTW all orginitase here “What relevance does this have for the LW-Yudkowsky-Bayesian rationalist project?” found in this SSC article about metis vs high rationalism. I think it’s all in the zeitgeist https://slatestarcodex.com/2017/03/16/book-review-seeing-like-a-state/

step back “seeing like a state” recycled as “seeeing like an algorithm” ref TikTok, I think misusued nd rather sinister but here it is Eugene Weiwei https://www.eugenewei.com/blog/2020/9/18/seeing-like-an-algorithm

Fad chasing pigs

the story of Soros and Druckenmiller (was it at quantum fund?) taking opposite sides on the dotcom boom

Expert Forecasts

IEA-wrong-fcast_panelsBCE-wrong-forecasts

ECB inflation forecasts from 2012 to 2020 mostly wrong in the same direction, in 2020 they changed their direction, maybe they are a reverse benchmark 🙂

IEA sistematically undervalued renewables potential in their yearly forecasts

beware the experts, don’t believe what they say, there’s always room for things to go the way you like best

from growth to risk

1960 the year singularity was cancelled on SSC. History developed mainly in Malthusian trap, with industrialization we got out of the trap and started growing product percapita in an exponential growth. That stopped in the 60’s

German sociologist Beck sensed that capitalism was getting into its second stage, from growth to risk priority. Adam Tooze on Foreign Policy

see also Parrow with normal accidents

Noah Smith on “What happened in 1971 along the lines of singulraty cancelled in 1960. https://twitter.com/Noahpinion/status/1306264582046937088

Assuming that the secular trend was not negated, we are simply in the through of the secular cycles, how long would be this cycle and how high would the upswing carry us ? Check also Turchin and Kondratiev for longer cycles

Turchin Cliodynamics “Cliodynamics is entirely different. Its roots are in nonlinear dynamical systems. We don’t go out looking for cycles; but we don’t shy away from them when there is robust evidence for them. In Structural-Demographic Theory, in particular, oscillations arise because of nonlinear feedbacks between different interacting components of the social system (state-level society).”

with a nice chart:

fuck wordpress and the blocks editor, BTW, when a platform interface becomes baroque for some dynamics clear only to the programmers it’s probabluy time to move, it used to be easy to add an image, no longer

Forecasting with fat tailed distro

Random variables in the power law class with tail exponent α ≤ 1 are, simply, not forecastable. They do not obey the LLN. But we can still understand their properties.”

“If one claims fitness or nonfitness of a forecasting ability based on a single observation = 1, she or he would be deemed to be making an unscientific claim. For fat tailed variables that “= 1″ error can be made with n = 106. In the case of pandemics, n = ∞ is still anecdotal. (..) It takes 1014 observations for a “Pareto 80/20” (the most commonly referred to probability distribution, that is withα ≈ 1.13) for the average thus obtained to emulate the significance of a Gaussian with only 30 observations.”

https://forecasters.org/blog/2020/06/14/on-single-point-forecasts-for-fat-tailed-variables/

Taleb justifying the precautionary principle on statistcis ground, in a challenge with Ioannidis who called for reopening the economy based on poor data

https://forecasters.org/blog/2020/06/14/covid-19-ioannidis-vs-taleb/

 

From Trolley to Mechanical Ventilator

how “problems” change over time, one day everybody is musing on a robot car who (that) must choose who to kill, then a small rna virus arrives and everybody turns to the problem of mechanical ventilators, except that not, nobody wants to acknowledge that in the Covid19 epidemics thousand of critical patients are subject to rationing life/death decisions based of a simple rule or a more complex clinical evalution algorithm? And the dilemma goes: you save a 60-yearld old man in perfect shape of a 35-year old pregnant woman with breast cancer ?

Facing Covid-19 in Italy — Ethics, Logistics, and Therapeutics on the Epidemic’s Front Line

New England Journal of Medicine has a retrospective on the ICU crisis in Italy where decisions around scarce mechanical ventilators are actually done, at time of writing over 4,000 people dead and this charts show the problem in stricking clarity