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Hello. It is very easy. Law of large numbers requires that <math>X_1,X_2,\dots</math> are independent (i.e. every finite subset of them is independent). Yet, a child has usually similar properties to an adult. Therefore <math>X_{i+1}</math> is not independent of <math>X_{i}</math>. It does not mean they are perfectly correlated - a child might sometimes be different from its parent. But they are definitely not independent, and therefore you cannot use the law. Using a mathematical theorem when assumptions are not fully satisfied will easily give you absurd conclusions - think what happens if you to use Pythagorean theorem in an acute triangle. --[[User:Cipe|Cipe]] 15:54, 17 March 2012 (EDT)
 
Hello. It is very easy. Law of large numbers requires that <math>X_1,X_2,\dots</math> are independent (i.e. every finite subset of them is independent). Yet, a child has usually similar properties to an adult. Therefore <math>X_{i+1}</math> is not independent of <math>X_{i}</math>. It does not mean they are perfectly correlated - a child might sometimes be different from its parent. But they are definitely not independent, and therefore you cannot use the law. Using a mathematical theorem when assumptions are not fully satisfied will easily give you absurd conclusions - think what happens if you to use Pythagorean theorem in an acute triangle. --[[User:Cipe|Cipe]] 15:54, 17 March 2012 (EDT)
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:The [[Law of Large Numbers]] establishes that populations revert to their averages over time.  Children of extraordinarly bright or athletic parents are, on average, not so extraordinary.  Nothing said above disproves this logical truth.  [[Charles Darwin|Darwin]] and other founders of [[evolution]] were weak in [[mathematics]] and [[probability]], and their reliance on random genetic drift is nonsensical as illustrated by the [[Law of Large Numbers]].--[[User:Aschlafly|Andy Schlafly]] 00:36, 18 March 2012 (EDT)
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