Thinking In Bets Pdf Github -

Thinking in Bets is a valuable approach to decision-making under uncertainty. By framing decisions as bets, assigning probabilities, and evaluating expected value, individuals can make more informed decisions. Probabilistic thinking is essential in this approach, as it allows individuals to understand and work with uncertainties. The GitHub repository provides a practical implementation of the concepts discussed in this paper.

# Example usage probability = 0.7 payoff = 100 risk_free_rate = 10

import numpy as np

Parameters: probability (float): Probability of winning the bet. payoff (float): Payoff of the bet. risk_free_rate (float): Risk-free rate of return.