In 1986, science said putting a baby on its stomach was the “right” thing to do, so that’s how my siblings and I slept. By 2004, science had changed its mind, so my firstborn slept on his back. He cried, and we were miserable. In 2006 and 2008, we were told to put our daughters on their backs. We ignored the experts and had a much better experience!
How many times have you read an article or heard a news broadcast where the phrase “according to scientists…” is used? The phrase is used to lend credibility. Occasionally, journalists actually cite the particular scientists; most times they do not.
There is a lot of trashy science out there. It is increasingly difficult to discern truth from error.
The root of the problem is that scientists have skewed incentives. Publishing is king, along with building a network of scientific allies who make it easier for you to publish. Yet, the peer-review system often does nothing to verify results, and scientists have no accountability for reproducibility.
There are a few initiatives trying to fix this problem. For example, in my field of computer vision, there exists the Insight Journal. This journal promotes the concept of “open science” wherein you submit your paper along with code and data so that other people can reproduce your results. The reviews are totally open. Everything is made public. Unfortunately, this initiative seems to have lost steam over time. We’re all still wedded to the system of closed reviews and irreproducible results.
Intensifying this problem are too many students flooding the world with too many papers. Unfortunately, scores of those papers are erroneous and sloppy, another chunk of them are simply fluff that no one cares about, and some of them are blatant lies designed to further an agenda. The truly good ones often get lost in the weeds.
Another problem, less openly discussed, is that some scientists can be flat-out cocky. A variety of things scientists study and claim to “know” are just preposterous. Man-made measurement systems are often too inadequate to study complex natural systems. So scientists build “models” to sweep the true complexity under the rug. Wherever models are used, we should have a Surgeon-General-like warning on the results: “Warning: Man-made models were used to convert God’s complex creation into a feeble human-designed computer simulation.”
Examples of scientific areas that I believe to be extraordinarily complex include neuroscience, climate science, and archeaology. Because so little is truly understood in these areas, true discoveries can be extremely fruitful. But bad things happen when we start placing faith in results that are overly contrived or extrapolated from inaccurate and sparse measurements.
Problems with science lead to problems in policy, as the media attempts to create headlines out of research. This invariably leads to the phrase “according to scientists…” and the dangerous practice of believing that scientific consensus is worth beans.
Michael Crichton gave an awesome lecture at Caltech on the issue of consensus science. Go read that now!
Over time, I’ve become very skeptical of articles claiming this or that. I find myself deciding to err on the side of calling most stuff bologna.
Wish it were otherwise, and wish I had a solution to this problem. I don’t have a solution; at least I don’t have a practical solution. Do you?


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