FME in Probability - Conditionals in Natural Language - Comments

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SUMMARY

The discussion centers on the complexities of probability, particularly in understanding conditionals in natural language. A key insight shared is the log reciprocal relationship between the probability of an event and the information conveyed. Specifically, when stating that at least one of Susan's two children is a girl, one gains log2(4/3) bits of information. However, if it is known that the older child is a girl, the information gained increases to log2(4/2) bits, highlighting the importance of specific contextual knowledge in probability assessments.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with logarithmic functions, specifically log2
  • Knowledge of conditional probability
  • Ability to interpret information theory in probabilistic contexts
NEXT STEPS
  • Explore the concept of conditional probability in depth
  • Study information theory, focusing on log-based measures of information
  • Learn about the implications of predefined variables in probability scenarios
  • Investigate common misconceptions in probability and how to address them
USEFUL FOR

Students of probability, educators teaching statistics, and anyone interested in the intersection of language and mathematical reasoning in probability theory.

haruspex
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Frequently Made Errors in Probability - Conditionals in Natural Language

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Good read. Probability can be so counter-intuitive. One thing that's helped me a lot is seeing the log reciprocal relation between probability of an event, and the information in it. If I tell you that of Susan's two children, at least one is a girl, then I have given you log2(4/3) bits of information.(there are 3 of 4 possibilities where at least one is a girl, take reciprocal and log) If on the other hand you see the older one, and see she is a girl, you have gained log2(4/2) bits of information. (50/50 chance the other one is) Where does the extra information come from in the latter case? It comes from you having the which-child information you don't have in the first one: You know the older child is the one that's a girl. It gets a little weird though when you see a child of Susan who is a girl, but don't know which it is in terms of the predefined younger/older variable. You're back to the log(4/3) bits of information. Its a weird way to look at the world.
 

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