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Today is unsurprising research day.  The Wall Street Journal reports on a computer model that can predict whether a baseball player gets elected to the Hall of Fame:

Using a radial bias function network, a sort of neural net, Dr. Smith and Dr. Downey were able to identify statistical commonalities among Hall of Famers. As it turns out, hits, home runs and on-base plus slugging percentages are what count for hitters, while wins, saves, earned run average and winning percentage are what count for pitchers.

Sounds right to me.  But did we really need a computer to tell us this?

HERE ARE THE FACTS:

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ONE MORE QUICK THING:

Our fall fundraising drive is off to a rough start, and we very much need to raise $250,000 in the next couple of weeks. If you value the journalism you get from Mother Jones, please help us do it with a donation today.

As we wrote over the summer, traffic has been down at Mother Jones and a lot of sites with many people thinking news is less important now that Donald Trump is no longer president. But if you're reading this, you're not one of those people, and we're hoping we can rally support from folks like you who really get why our reporting matters right now. And that's how it's always worked: For 45 years now, a relatively small group of readers (compared to everyone we reach) who pitch in from time to time has allowed Mother Jones to do the type of journalism the moment demands and keep it free for everyone else.

Please pitch in with a donation during our fall fundraising drive if you can. We can't afford to come up short, and there's still a long way to go by November 5.

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