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this post was submitted on 31 Aug 2023
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This is the same study posted somewhere else. The survey is flawed in that they asked what people ate in the last 24 hours.
That simply means that those people ate a lot in the last 24 hours. Should have been over a week or a month to get a better distribution.
“We analyzed 24-h dietary recall data from adults (n = 10,248) in the 2015–2018 National Health and Nutrition Examination Survey (NHANES).”
Exactly. In a world where people at a big steak dinner once a week, you’d see a similar result.
Why would everyone be eating the big steak dinner the day before they were asked this survey question though?
I responded to your comment before, but didn't sufficiently think it through, so I deleted my previous response.
You raise a good point, and they do indeed acknowledge this flaw in the study:
Yeah, I feel this is an early report to decide if a larger study is warranted
I don't totally agree. I'd be interested in grouping the data by "response day of the week", but given that the sample size is 10k (which is huge in nutrition science) and that they didn't all respond at the same time, there's definitely enough response time variability to reduce short term seasonality.
Honestly if you asked over the previous week or month you'd probably just get less accurate responses and it'd skew the data even more.
That's such a leading method for gathering the data. You just ate the one cheeseburger you have every couple of months right before the study? Welp, I guess you're the person responsible for all the beef purchases now!
If that was all that was flawed... who actually takes time to do nutritional surveys? People who care about nutrition. And the current fad is that you should eat less meat. So a disproportionate number of them are going to under represent how much meat they eat. So it should say, only 12% of people who answered this survey were honest.
AKA healthy user bias