Making random decisions on the basis of a coin flip


I watched the movie Leatherheads last night – a comedic tribute to the early days of professional football.  It re-created the first coin flip used to determine which team would kick off.  The referee allowed the coin to fall to the ground – introducing a bit more randomness into the outcome (as opposed him catching it).  That’s one of the findings presented in the Dynamical Bias in the Coin Toss by a trio of mathematics and statistics professors from Stanford and UC Santa Cruz.  Surprisingly, they report that for “natural flips” the chance of a coin coming up as started is 51 percent.  In other words, this procedure for creating an even probability is biased by the physics.

My “heads up” (ha ha) on this came from a former colleague of mine.  He sent me a link that led me to this flippant (pun-intended) summary by blogger James Devlin .  Devlin warns against spinning a coin to create a 50/50 outcome – a heavy-headed coin can fall tails-up as much as 80 percent of the time!  It seems to me that this approach would also increase the odds of a flipistic singularity – normally very rare (1 in 6000 chance).

Another colleague, who once collected comics about Donald Duck, told me the tale of flipism – a random way to live life.  However, I think I will not go down this road, but rather quit this blog while I am still ahead.

Life is but a gamble!  Let Flipism chart your ramble.

–  Slogan in Flip Decision by Carl Barks

PS. A fellow trainer starts off statistics workshops with a fun icebreaker that gets students involved with flipping a coin.  He asks the class what they expect for an outcome and then challenges this assumption experimentally.  The first student gets heads, which the trainer tallies on a flipchart.  Each student in turn gets the same outcome until someone finally gets suspicious and discovers that it’s a two-headed quarter.

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