Casual, Double-Blind, Cross-Sectional Study of Super Bowl Retrodictions

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 (presumably including regular league games). This was obviously not possible for this study.