Favourite-Longshot Bias

prospect-theory
diminishing-sensitivity

It’s when we over-bet on unlike winners and under-bet on favorites. This is why the odds of the favorites in the betting industry tend to be higher than their true probabilities (e.g. 2.5 to 1 return compared to 1.5 to 1 actual probability) and vice-versa for underdogs. This is a result of both overweighing probabilities (i.e. believing in more unlikely outcomes) and Diminishing Sensitivity.

NoteExamples

Startups

Investing in startups despite the high likelihood of failure, as the probability of success has been estimated at around 10%; if a startup does succeed though, the returns will be high. In this example, the 10% probability is overweighted; the 90% failure probability is underweighted.

Choosing careers

Choosing a footballer or singer career path over a degree and a stable corporate job; while they both offer high returns when successful, one has a 0.5% to 1% chance of making it.

“I know it’s hard to become a professional footballer, but if I make it…”