Writing in AlterNet, Carl Gibson has an incredible story about a data scientist who has successfully predicted the last few elections.

Data scientist Thomas Miller of Northwestern University correctly predicted the 2020 Electoral College map, with the exception of Georgia. He also accurately forecasted Georgia’s two Democratic U.S. senators, Jon Ossoff and Raphael Warnock, defeating then-incumbents Kelly Loeffler and David Perdue.

Now, he’s anticipating that Vice President Kamala Harris will not only defeat former President Donald Trump in November, but will do so by a significant margin. Fortune reported that Miller is predicting that Harris' electoral map may resemble the 1964 map in which President Lyndon B. Johnson defeated Sen. Barry Goldwater (R-Arizona) with a whopping 486 electoral votes, or President Bill Clinton’s 1996 victory over Sen. Bob Dole (R-Kansas), in which he secured 379 electoral votes.

“It’s gone from a drastic landslide in Trump’s direction to a drastic landslide for Harris,” Miller said of his forecasting model.

Sounds good to me.