The Week (US)

The Declassifi­cation Engine: What History Reveals About America’s Top Secrets

- by Matthew Connelly (Pantheon, $32.50)

Matthew Connelly’s “harrowing” new book “dramatizes a hidden crisis,” said Brian Hochman in The Washington Post. We all know that Donald Trump and Joe Biden are both under investigat­ion for the classified documents recently found in their private possession. But such discoverie­s point to how out of control the classifyin­g of government documents has become. The federal government currently classifies another three documents every second, adding to an ever-expanding pile so vast that no one in Washington can even estimate its size. Connelly, who’s a Columbia University historian, warns that the public’s ability to monitor what its government is doing in its name has been gravely compromise­d, and he’s absolutely right. “The loss to historical understand­ing is catastroph­ic.”

That’s hardly the only danger Connelly highlights, said Patrick Radden Keefe in Foreign Affairs. The paradox of our government’s addiction to classifica­tion is that it has made sensitive informatio­n more vulnerable to leaking. Because so much government work now requires handling informatio­n that’s classified, the number of federal employees granted top-secret clearance keeps growing and has now reached 1.3 million. At this point, “the math becomes simple”: Given how easy it is to copy and share digitized data, and that 1.3 million people can, there’s no preventing significan­t leaks of the government’s secrets. Remember when stolen NSA cyberweapo­ns were used in 2016 to shut down businesses around the world? As far as we know, the source of that leak has yet to be identified.

Connelly is doing more than sounding an alarm, said Tim Weiner in The New York Times. Ten years ago, he assembled a team to try using a search engine and machine learning to sift through declassifi­ed documents and predict the redacted language. The goal is to reveal what government doesn’t want us to know, and perhaps the project eventually will succeed. Unfortunat­ely, the results so far are “a handful of needles in a mountain of hay.” Let’s hope Connelly’s alarm achieves more.

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