nhaliday + white-paper + clarity   3

How Transparency Kills Information Aggregation: Theory and Experiment
We investigate the potential of transparency to influence committee decision-making. We present a model in which career concerned committee members receive private information of different type-dependent accuracy, deliberate and vote. We study three levels of transparency under which career concerns are predicted to affect behavior differently, and test the model’s key predictions in a laboratory experiment. The model’s predictions are largely borne out – transparency negatively affects information aggregation at the deliberation and voting stages, leading to sharply different committee error rates than under secrecy. This occurs despite subjects revealing more information under transparency than theory predicts.
study  economics  micro  decision-making  decision-theory  collaboration  coordination  info-econ  info-dynamics  behavioral-econ  field-study  clarity  ethics  civic  integrity  error  unintended-consequences  🎩  org:ngo  madisonian  regularizer  enlightenment-renaissance-restoration-reformation  white-paper  microfoundations  open-closed  composition-decomposition  organizing 
april 2017 by nhaliday
Information Processing: Bounded cognition
Many people lack standard cognitive tools useful for understanding the world around them. Perhaps the most egregious case: probability and statistics, which are central to understanding health, economics, risk, crime, society, evolution, global warming, etc. Very few people have any facility for calculating risk, visualizing a distribution, understanding the difference between the average, the median, variance, etc.

Risk, Uncertainty, and Heuristics: http://infoproc.blogspot.com/2018/03/risk-uncertainty-and-heuristics.html
Risk = space of outcomes and probabilities are known. Uncertainty = probabilities not known, and even space of possibilities may not be known. Heuristic rules are contrasted with algorithms like maximization of expected utility.

How do smart people make smart decisions? | Gerd Gigerenzer

Helping Doctors and Patients Make Sense of Health Statistics: http://www.ema.europa.eu/docs/en_GB/document_library/Presentation/2014/12/WC500178514.pdf
street-fighting  thinking  stats  rationality  hsu  metabuch  models  biases  distribution  pre-2013  scitariat  intelligence  neurons  conceptual-vocab  map-territory  clarity  meta:prediction  nibble  mental-math  bounded-cognition  nitty-gritty  s:*  info-dynamics  quantitative-qualitative  chart  tricki  pdf  white-paper  multi  outcome-risk  uncertainty  heuristic  study  medicine  meta:medicine  decision-making  decision-theory  judgement 
july 2016 by nhaliday

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