You don’t get flayed by cartels for visiting Mexico. I’ve visited Mexico for work more than once. It was fine. I didn’t need a police escort like I did in actually dangerous countries, and I never felt unsafe.

Well other technologies like accounting software are “at least 40%” and self checkout is at 36%, according to the article, so I don’t think this is as devastating as one might think at first glance:

Of 340 retail operators surveyed in 2026’s Voice of the Retail Industry Survey, only 36% say they plan to invest in self-checkout, down seven percentage points from last year. Self-checkout was the least popular technology and the only one to see lower interest YoY. Other investments, such as automated invoices, electronic shelf labels, and accounting software, attracted at least 40% of surveyed retailers.

And of course less retailers are investing in the tech than in previous years: they’ve all already got it.

*bear

The original article wasn’t talking about IQ at all - Reader’s Digest was oversimplifying the research.

Cognitive tests included prospective memory (baseline only: n = 171,585), visual-spatial memory (round 1: n = 483,832; round 2: n = 482,762), fluid intelligence (n = 165,492), and short-term numeric memory (n = 50,370).

Oh, that famous Journal called Reader’s Digest.

Here’s the original article: https://doi.org/10.1093/aje/kwx273

Abstract:

We investigated the cross-sectional and prospective associations between different sedentary behaviors and cognitive function in a large sample of adults with data stored in the UK Biobank. Baseline data were available for 502,643 participants (2006–2010, United Kingdom). Cognitive tests included prospective memory (baseline only: n = 171,585), visual-spatial memory (round 1: n = 483,832; round 2: n = 482,762), fluid intelligence (n = 165,492), and short-term numeric memory (n = 50,370). After a mean period of 5.3 years, participants (numbering from 12,091 to 114,373, depending on the test) also provided follow-up cognitive data. Sedentary behaviors (television viewing, driving, and nonoccupational computer-use time) were measured at baseline. At baseline, both television viewing and driving time were inversely associated with cognitive function across all outcomes (e.g., for each additional hour spent watching television, the total number of correct answers in the fluid intelligence test was 0.15 (99% confidence interval: 0.14, 0.16) lower. Computer-use time was positively associated with cognitive function across all outcomes. Both television viewing and driving time at baseline were positively associated with the odds of having cognitive decline at follow-up across most outcomes. Conversely, computer-use time at baseline was inversely associated with the odds of having cognitive decline at follow-up across most outcomes. This study supports health policies designed to reduce television viewing and driving in adults.