I decided to test a recent theoretical development of how football game winners can be seen in the day, place, and starting time of the event.
Accordingly, my assistant drew up a table of all Super Bowls so far and their event information.
I then drew up each chart and made a prediction. These were then checked against the real winners.
I should preface by saying that I am a football agnostic. I do not know much about football, only watching socially for a few minutes here and there and receiving the good-natured teasing of friends for knowing so little.
I want to admit that I have seen some games at some times, enough to develop the model, yet I feel I can judge these past charts fairly, truly without any a priori knowledge of the winner.
Thirty five out of forty five Super Bowls were evaluated correctly. (Five early Super Bowls did not have recorded start times available.)
Final 2-sided p-value is 0.0002.
To do this project even more fairly, I would recommend the following:just using the charts and the names of the teams (no identifying "birth data" of the charts)employing a reader who knows nothing about football (this will be hard and I would have to teach them the technique first)no access to internet while the reader is performing the test (I did not use it)OR you can just have the reader read for future games (/nfl-football.html) (presumably including regular league games). This was obviously not possible for this study.