Monday, May 31, 2010

The economics of rock and roll part II -- quality control and brown M&Ms

This one has been passed around a lot but it's a nice example of a clever solution to a business problem and it bears repeating.

From Snopes:
The legendary "no brown M&Ms" contract clause was indeed real, but the purported motivation for it was not. The M&Ms provision was included in Van Halen's contracts not as an act of caprice, but because it served a practical purpose: to provide an easy way of determining whether the technical specifications of the contract had been thoroughly read (and complied with). As Van Halen lead singer David Lee Roth explained in his autobiography:
Van Halen was the first band to take huge productions into tertiary, third-level markets. We'd pull up with nine eighteen-wheeler trucks, full of gear, where the standard was three trucks, max. And there were many, many technical errors — whether it was the girders couldn't support the weight, or the flooring would sink in, or the doors weren't big enough to move the gear through.

The contract rider read like a version of the Chinese Yellow Pages because there was so much equipment, and so many human beings to make it function. So just as a little test, in the technical aspect of the rider, it would say "Article 148: There will be fifteen amperage voltage sockets at twenty-foot spaces, evenly, providing nineteen amperes . . ." This kind of thing. And article number 126, in the middle of nowhere, was: "There will be no brown M&M's in the backstage area, upon pain of forfeiture of the show, with full compensation."

So, when I would walk backstage, if I saw a brown M&M in that bowl . . . well, line-check the entire production. Guaranteed you're going to arrive at a technical error. They didn't read the contract. Guaranteed you'd run into a problem. Sometimes it would threaten to just destroy the whole show. Something like, literally, life-threatening.

1 comment:

  1. I have heard this before and I always thought of it as a good policy. I often ask analysts about model details that would be obvious if you were checking everything but subtle if you aren't. You get way more interested in the work if they don't know if the lab values are normally distributed or not . . .