What is the difference between selection bias and confirmation bias, preferably with an example of each?

I understand confirmation bias and selection bias to be the process by which a person reaffirms a hypothesis selectively, or based on only what he/she takes into consideration, whilst omitting additional data needed to prove/disprove the hypothesis. But I don't understand the difference between these two (if any).|||Selection bias is when your method is flawed by design and will tend to skew results in a particular direction just based on how it selects data points.





Confirmation bias is a post-methodological flaw, where the results are interpreted to give extraordinary significance to confirming data and to tend to disregard disconfirming data.