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.
import numpy as np
# Example usage probability = 0.7 payoff = 100 risk_free_rate = 10 thinking in bets pdf github
def evaluate_bet(probability, payoff, risk_free_rate): """ Evaluate a bet by calculating its expected value. Thinking in Bets is a valuable approach to
Parameters: probability (float): Probability of winning the bet. payoff (float): Payoff of the bet. risk_free_rate (float): Risk-free rate of return. and evaluating expected value