Kevin deLaplante | The Small Sample Fallacy @PhilosophyFreak | Uploaded August 2014 | Updated October 2024, 13 hours ago.
This video introduces the “small sample fallacy”.
It shows how statistically extreme results are a predictable result of small sample sizes, and describes a common error -- the mistaken belief that any statistically extreme result requires a causal explanation.
Case studies discussed in the video include a discussion of kidney cancer rates in the United States, the Gates Foundation efforts to create better schools, and German bombing patterns on London during the "Blitz" (WWII).
This video introduces the “small sample fallacy”.
It shows how statistically extreme results are a predictable result of small sample sizes, and describes a common error -- the mistaken belief that any statistically extreme result requires a causal explanation.
Case studies discussed in the video include a discussion of kidney cancer rates in the United States, the Gates Foundation efforts to create better schools, and German bombing patterns on London during the "Blitz" (WWII).
