When you’re a right-wing actor who’s good with computers, you may be confident that you’re the one who can prove the existence of something that doesn’t exist.
X.com Chairman Peter Thiel and president and CEO Elon Musk hold up their credit cards in October 2000. There is a reason that numbers nerds tend to like elections and sports: Each involves competition that can be tracked in intimate detail through data. There’s a human element, sure, voters voting and athletes athleting. But those activities aggregate into scads of data emerging over decades — data that can be pored over, reformed, dug through and assembled.
The problem here, as with cherry-picked theories of malfeasance in general, is that the availability of information has wildly outpaced familiarity with the systems that produce that information. Frank thought he’d found evidence of fraud by plunking numbers into a spreadsheet, but he never endeavored to explain how such fraud would have been possible across different states and different counties with different processes for casting and tallying votes.
This is a very Muskian idea: take an existing product and use his tech savvy to revamp it. It worked for him with Tesla, to a large extent. It has not worked particularly well with his more-recent takeover of Twitter.Unfortunately for his odds of success, a plan to overlay data analysis onto our elections to uproot fraud has more echoes of the Twitter effort than the Tesla one. For one thing, it is obviously rooted in Musk’s increasingly surreal view of politics.
This approach has been tried before, and not just by the Douglas Franks of the world. Trump himself instantiated a presidential commission centered on uncovering rampant fraud after he won the 2016 election. Itthat it was occurring to a significant degree. Trump allies such as former Kansas secretary of state Kris Kobach But Musk, true to form, seems to think that he will succeed where others have failed.
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