Humans have always liked to gamble, which no doubt ties into our habit of seeing patterns. When we see someone flip a coin and it comes up heads three times in a row, some people will see “a run” of heads and assume the next flip will be heads too, others will think the next flip more likely to come up tails because the run must end.
In both cases they’re seeing a pattern that assumes each coin flip changes the odds of the next. This furphy is commonly called the gambler’s fallacy.
The reality in all games of chance, is that each event (e.g. coin flip) is independent of previous and future events. Each event has the same likelihood of a certain outcome (e.g. coming up heads) as every other event.