Risk and Uncertainty

The core of this post comes from “How do smart people make smart decisions?” by Gerd Gigerenzer, delivered at TEDxNorrköping – available at https://youtube.com/watch?v=-Lg7G8TMe_A and a transcript available .
However, there are more sources which lead to this insights, like e.g.:

RISK VS UNCERTAINTY

RISK: How should we make decisions when all relevant alternatives, consequences, and probabilities are known?
     Requires statistical thinking
Look before you leap, analyse before you act. List all alternatives, all the consequences, and estimate the utilities. And do the calculation.

UNCERTAINTY: How should we make decisions when NOT all alternatives, consequences, and probabilities are known?
     Requires smart rules of thumb (heuristics) and intuition

Decisions under UNCERTAINTY  ≠  Decisions under RISK , or
Rationality of Risk  ≠  Rationality of Uncertainty

1. UNCERTAINTY.
    The best decision under risk is not the best decision under uncertainty.

2. HEURISTICS.
    Heuristics are indispensable for good decisions under uncertainty.

They are not the product of a flawed mental system.
3. SIMPLICITY.
    Complex problems do not require complex solutions.
4. LESS-IS-MORE.
    More information, time, and computation is not always better.

How To Catch A Flyball

CALCULATE TRAJECTORY:

GAZE HEURISTIC:

   1. Fix your gaze on the ball,
   2. start running, and
   3. adjust your running speed so that the angle of gaze remains constant.

(See also “are dogs outsmarting human primates“)

Heuristics Are Used Intuitively And Deliberately

Will the plane make it to LaGuardia Airport?

“It’s not so much a mathematical calculation as visual, in that when you are flying in an airplane,
a point that you can’t reach will actually rise in your windshield.
A point that you are going to overfly will descend in your windshield.”

  Jeffrey Skiles Co-pilot, US Airways Flight 1549

The Science of Heuristics

The Adaptive Toolbox: What are the heuristics we use, their building blocks, and the evolved capacities they exploit?

Ecological Rationality: What types of environments does a given heuristic work in?

Intuitive Design: How can heuristics and environments be designed to improve decision making?

Ecological Rationality:       
Total error = bias² + variance + noise

Low uncertainty   High uncertainty
Few alternatives   Many alternatives
High amount of data   Small amount of data
Make it complex; Mean-Variance   Make it simple; 1/N

The Social Heuristic:   “Trust your doctor”  is ecologically rational if:

   1. Physicians don’t practice defensive decision making
   2. are trained in understanding health statistics
   3. have no conflicts of interest

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