Selection Bias Example: Presidential Election Poll

In this podcast episode, the hosts discuss the concept of selection bias and provide an example related to predicting the outcome of a presidential election. They explain how sampling in a biased way can skew the results and lead to incorrect conclusions based on the surveyed population. For instance, if a poll only includes respondents from a conservative area like Orange County, it would likely favor Republican candidates. The hosts highlight the importance of sampling in a random and representative manner to avoid selection bias in data analysis.