A frequentist is shown a coin and is asked what's the probability it will land on heads. Frequentist: "How the hell should I know?" The coin is then flipped 1

A frequentist is shown a coin and is asked what's the probability it will land on heads. Frequentist: "How the hell should I know?" The coin is then flipped 10000 times, and it lands on heads exactly 5000 times. Frequentist: "Definitely not 50%, the coin's gotta be biased". A bayesian is shown a coin and is asked what's the probability it will land on heads. Bayesian: "It's 50%!" The coin is then flipped 10000 times, and it lands on heads exactly 5000 times. Bayesian: "It's 50%!" This two-strawmen thought experiment clearly demonstrates the superiority of the Bayesian approach in learning useful information from the real-world observations.