Ratio bias is the bettor’s tendency to look at a large sample rather than a smaller one, even though the probability is better with the small sample. For example, looking at a team’s record over the previous ten seasons rather than basing a betting decision on the team’s current season performance. No one is sure what causes this bias, but many suspect it’s because of the bettor’s minimal experience making decisions based on calculated probabilities.