The Best Books I Read in 2022

My three best reads of 2022 were Blink, How to Change Your Mind, and The Data Detective. This is the shortest list in the series so far, and it comes with an honest asterisk: 2022 was the year I switched to borrowing from the library instead of buying, and a good chunk of what I checked out was reference material rather than the kind of book you write up here — a stats primer, a hiking guide for a trip that summer. I also reread Atomic Habits, which already got its own entry back in 2020, so I’m not writing it up twice.

These three, though, earned the shelf.

Blink by Malcolm Gladwell

Gladwell’s argument is that our fastest judgments — the ones made in the first two seconds, before we’ve consciously reasoned anything out — are often as accurate as the ones we spend hours deliberating over, because they’re built on pattern recognition our conscious mind can’t fully explain. He calls this “thin-slicing,” and he backs it with examples ranging from art authenticators spotting a fake instantly to a psychologist who can predict divorce from a few minutes of watching a couple argue.

What I liked most was that Gladwell doesn’t oversell it. He’s just as interested in when snap judgment fails — when it curdles into bias instead of insight — as he is in when it works.

Read it if you’ve ever trusted a gut call and then spent an hour trying to justify it with logic afterward.

How to Change Your Mind by Michael Pollan

Pollan traces the strange arc of psychedelics — from 1950s psychiatric research, through decades of prohibition, to a recent resurgence of serious clinical interest in psilocybin and LSD for treating depression, addiction, and end-of-life anxiety. He reports on the science with the same curiosity he brought to food in his earlier books, and doesn’t shy away from trying some of it himself.

The part that stayed with me was less about the drugs themselves and more about what the research suggests happens when the brain’s usual, well-worn patterns get temporarily disrupted — a kind of forced flexibility that seems to be where a lot of the therapeutic value comes from.

Read it if your only exposure to this topic is decades-old stigma, and you’re open to updating that with actual research.

The Data Detective by Tim Harford

Harford’s ten rules for reading statistics boil down to one underlying habit: slow down and get curious before you react, whether the number in front of you confirms what you already believed or contradicts it. He’s less interested in catching people lying with statistics and more interested in the far more common problem — good-faith people misreading numbers because they didn’t pause long enough to ask the obvious follow-up question.

I picked this one up right after The Data Detective’s stablemate, a stats reference I’d borrowed for something unrelated, and it turned out to be the far more useful book of the two — practical rules I still catch myself applying whenever a headline throws a big number at me.

Read it if you want to get better at spotting misleading statistics without becoming the kind of person who distrusts every number on principle.

That’s my 2022 list — short, but each one earned its place. What was your best read this year?