Coin Chops: Can the Law of Averages be Replaced by the Law of Probability?

Alas, to the ‘average’ consumer of statistics, unlike we statisticians and data analysts, Probability is a sort of Comic I mean Cosmic Force i.e. ‘The Laws of Probability’ . David Hand OBE FBA has entertainingly looked at misunderstandings of this Comic Force and Coincidences in ‘the improbability principle: why coincidences, miracles and rare events happen all the time’ (2014).

But sitting here in the State Library of Victoria, I’m reading Frank ‘Power Without Glory’ Hardy’s novel ‘Four-legged lottery’ (1958). On page 179 of the Gold Star paperback edition there’s a bit of blarney about the ‘law of probability’ replacing the ‘law of averages’ where one of the two main characters, a professional gambler by the name of Jim Roberts, talks about the Anglo-Australian game of Two-Up which involves throws of pairs of coins, and is legal in Australian casino’s and traditionally, on the streets on ANZAC Day (25th April)..

‘in an honestly conducted two-up school, an equal number of heads and tails will be thrown over a long period; both head and tail bettor must lose [as the ‘house’ must take a percentage]. [To try and overcome the Law of Averages, giggle!] a tail better can back the tail on every spin – only for two throws, doubling [the] stake on the second throw if the spinner [bets heads] the first time. In this way [he or she] defeats the law of average <by winning> every time a spinner throws [both tails or one head and one tail and only loses when spinner throws both heads]’. Time for a simulation !

Watch this space. Same Stat Time! Same Stat Channel!


Author: Dr Dean McKenzie

I hold a BA(Honours) in Psychology from Deakin University, and much more recently, a PhD in Psychiatric Epidemiology (Classification & Regression Trees) from Monash University (2009) I have many years experience applying classical (e.g. ANOVA), contemporary (e.g. quantile regression) and data mining (e.g. trees, bagging, boosting, random forests) to psychological, medical and health data using Stata, IBM SPSS, Salford CART and open source Weka, as well as in statistical consulting, and advising people of many different levels of stats experience