Every statistician and all reasonably intelligent people know that, when a sample size is too small, one cannot extrapolate from it. Apparently, sports commentators and political politicians and pundits are neither statisticians nor reasonably intelligent. On the sports side, voices are being sounded that Kyle Shanahan, whom many consider perhaps the smartest NFL coach of all time, might not be able to win the big game because he was on the losing side of three Super Bowls, one as an assistant coach and two as a head coach. That's a sample size of three. On the political side, Biden lauds himself for being the only candidate to have beaten Trump in a presidential election. That's a sample size of two. I'm reminded of my being assigned to a lawyer for a clinical law class. He was bringing a case against the NM Bar Association because the flunk rate for Native Americans on the bar exam was double that of the 2/3 pass rate overall. His clients were two Native Americans who failed the bar exam. That was a sample size of three.
PS No. 1: When one engages in improper extrapolations from small samples, one conveniently ignores the reasons for the result in any instance. Illustratively, Biden's victory over Trump in 2020, which was hardly resounding, might have had more to do with the ravages caused by, and Trump's ignominious and embarrassing mishandling of, a once in a hundred years pandemic than any strength of Biden, and that the Covid vaccine, which Trump had fast-tracked, came just a bit late to help him.
PS No. 2: As a further justification for SF's decision to take the first OT possession, it is meet to note that SF's defense had been on the field for 11 straight plays, and Mahomes had chewed them up and they were flagging.
PS No. 3: While his career was a bit longer, Bill Belichick, like Shanahan, had 3 Super Bowl losses.
[EOP]