records of players who played in different eras and playing conditions, not only in different leagues and levels of baseball. This allows comparison, for example, of the number of home runs hit by Babe Ruth and modern players, to estimate how many each would have hit in a season or a lifetime if they had all played under the same playing conditions (parks, leagues, levels of competition, and eras). Davenport introduced the DT's to the on-line baseball research community in 1995 as follows: Hello. My name is Clay Davenport, and I attend the University of Chicago as a physics genius. While these Translations look like player stats, they are NOT the players' actual statistics. The Translations are an attempt to show how well the player would have performed in a standard league (the American League of 1992), knowing how well he played in his actual league. We know that some leagues are tougher than others; that's why we have the majors, AAA, AA, and so on. We know that some leagues are easier to hit in; we know that some parks favor the pitchers; and we know that these effects are not constant from one year to the next. We can estimate how big a difference each of those makes and correct for them, and that is what the Translations try to do. How well they work I shall leave for you to judge. Meteorology A graduate of the University of Chicago, Davenport was employed for many years as a software contractor with the National Oceanographic and Atmospheric Administration (NOAA) in the Satellite and Information Service, where he developed models for predicting rainfall from satellite imagery. He has likened some of that work to his baseball analysis: "The biggest similarity between handling the two types of statistics is that they each involve making forecasts that are there for everyone to see, and you end up being wrong a lot," Davenport said. "You learn to develop a thick skin." In 2000, Davenport developed the Hydro-Estimator, a set of computer programs to estimate precipitation in real time. "The Hydro-Estimator (H-E) version of the Auto-Estimator (AE) was developed by Clay Davenport, a contractor working for the ORA Hydrology Team under the direction of Dr. Rod Scofield. The Hydro-Estimator algorithm differs from the original AE by using a brightness temperature screening technique. It adjusts the rain rate assigned to each picture element (pixel) according