bias
Table of Contents
1. bias
1.2. A history of FLICC: the 5 techniques of science denial
1.3. law of triviality
1.3.1. McNamara fallacy
making a decision based solely on quantitative observations (or metrics) and ignoring all others (usually because they are simpler to measure and assess than qualitative data)
The reason given is often that these other observations cannot be proven.
The first step is to measure whatever can be easily measured. This is OK as far as it goes.
The second step is to disregard that which can’t be easily measured or to give it an arbitrary quantitative value. This is artificial and misleading.
The third step is to presume that what can’t be measured easily really isn’t important. This is blindness.
The fourth step is to say that what can’t be easily measured really doesn’t exist. This is suicide.
— Daniel Yankelovich, “Corporate Priorities: A continuing study of the new demands on business” (1972).
1.3.2. https://en.wikipedia.org/wiki/Streetlight_effect
people only search for something where it is easiest to look
1.3.3. Faustian bargain - Wiktionary
An agreement in which a person abandons his or her spiritual values or moral principles in order to obtain knowledge, wealth or other benefits
Inattentional blindness / Expert blindness
1.4. Hanlon’s razor
1.5. The Irony of the Dunning-Kruger Effect
- Metacognition: Incompetence leads to bad evaluation of your own skills, meaning you place yourself higher with respect to your peers
- False consensus effect: If you’re competent you assume everyone else also is, so you rank yourself lower with respect to your peers
-—
- Incompetent people do not believe they are better than more competent people: there is positive correlation between competence and perceived level