Regression to the mean

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Does this imply that data sets with large amounts of data points will be generally less accurate than data sets with a smaller amount of data points?
For example, if I want to know about the efficacy of a vaccine, would it be better to have 500 participants or 30,000? Wouldn't a larger amount of participants show a different effect size than what one might expect as an individual taking a vaccine?