Alex Berezow outlines the ferment and upheaval in modern nutrition science reporting:
One day, coffee causes cancer; the next, it cures cancer. One day, wine is good for you; the next it kills you. Given its self-contradictory wishy-washiness, can nutrition science be trusted?
Not at all, say Edward Archer and his co-authors, in a new paper published in Frontiers in Nutrition. They believe nutrition research is so bad that they call our current scientific discourse on the relationship between diet and disease to be “fictional.”
This isn’t the first time that Dr. Archer lobbed a grenade into the field of nutrition. In an article for RealClearScience, he (in)famously called the U.S. dietary guidelines a “scientific fraud” based on “implausible” data that “create[s] fear and uncertainty in American citizens.”
Clearly, Dr. Archer believes that nutrition science is not just misguided but actually harmful. That’s an extraordinary statement that requires extraordinary evidence.
Any nutrition study that’s based on self-reporting depends on the participants to be honest and fully revealing of their food and drink intake. At a time when we’re food-shamed on a daily basis by the government and the media for our “failings”. Even mostly honest reporters are likely to ever-so-slightly under-report their intake of whatever foods are the subject of this week’s “two-minute hate”. One of my favourite examples of blatant under-reporting is that — if you believe the reports — approximately half of all the booze sold in Britain is just poured down the drain:
The only real pitfall in this kind of research is the problem of people under-reporting how much they drink. The amount of alcohol sold in the UK is about twice the amount that people claim to drink, so unless we throw away a huge amount of booze, it is certain that people either forget about how much they drink or they deliberately lie to researchers. In either case, we can assume that the people who say they consume two drinks a day are probably consuming three or four drinks, in which case the amount that you have to drink to assume the same level of risk as a non-drinker is even more than this graph suggests.
H/T to Blazing Cat Fur for the link.