Re:When U.S. air force discovered the flaw of averages (2016)
by user5994461 on Thursday April 23, 2020 @12:46PM
(#22957937)
Should note that the study seems to be working on an extremely narrow range, the 30% in middle to quote the article. So measurements in the 35-65% percentile from what I understand.
In layman's term. It's so narrow that there are more people 1 inch off than there are people within the expected height. It's crazy.
Probability is talking in terms of standard deviations nowadays. They are selecting less than half a standard deviation, it's hyper selective. I'm curious how many people would fit the norm if the study was looking at 1 standard deviation. Surely a lot more.
For reference. Selecting the 30% on six metrics is keeping less than 0.01% of participants. Selecting the 68% (one deviation) on six metrics is keeping 10% of participants. It's night and day. Should be even more in practice because measurements are correlated.
In layman's term. It's so narrow that there are more people 1 inch off than there are people within the expected height. It's crazy.
Probability is talking in terms of standard deviations nowadays. They are selecting less than half a standard deviation, it's hyper selective. I'm curious how many people would fit the norm if the study was looking at 1 standard deviation. Surely a lot more.
For reference. Selecting the 30% on six metrics is keeping less than 0.01% of participants. Selecting the 68% (one deviation) on six metrics is keeping 10% of participants. It's night and day. Should be even more in practice because measurements are correlated.