Phish.net is a non-commercial project run by Phish fans and for Phish fans under the auspices of the all-volunteer, non-profit Mockingbird Foundation.
This project serves to compile, preserve, and protect encyclopedic information about Phish and their music.
Credits | Terms Of Use | Legal | DMCA
The Mockingbird Foundation is a non-profit organization founded by Phish fans in 1996 to generate charitable proceeds from the Phish community.
And since we're entirely volunteer – with no office, salaries, or paid staff – administrative costs are less than 2% of revenues! So far, we've distributed over $2 million to support music education for children – hundreds of grants in all 50 states, with more on the way.
That being said I agree with the users who say this theory does not offer a whole lot of explanatory power in terms of show ratings. If we want to get economics-y with our analysis of Phish shows then we have to take it all the way. The R-squared here is probably about 0.6. Plus any power analysis where we only have 9 observations would not merit much causal interpretation. With all the data we collect as phish fans, a much more robust analysis could likely be performed on this theory. Idk if there is anything specific about Dicks that would make us want to focus ONLY on the stats for those shows. We could test the hypothesis regarding idle days on a broader cohort to try to estimate this more precisely!