Could eating caviar be a ‘risk factor’ for having lots of money?

Anders Huitfeldt, a postdoctoral scholar at Stanford, explored the ambiguity of a popular scientific term in an article published in the British Medical Journal.

- By Krista Conger

THOR via Flickr

It was an hours-delayed flight and a $10 food voucher that did it.

Annoyed, Anders Huitfeldt, PhD, a postdoctoral scholar at the Meta-Research Innovation Center at Stanford, or METRICS, decided to spend his voucher on the most impractical item he could find in the airport. After some searching, he found it: a minuscule spoon of high-end caviar.

“It was the smallest amount you could possibly have,” he said. “And it was wonderful. I kind of got addicted.”

The experience got Huitfeldt thinking, but not just about fancy caviar. As a researcher at METRICS, he is interested in making scientific research findings more accurate and reproducible.

“I have had a long-standing interest in trying to understand why published research papers often fail to find the truth,” he said. “It seems that often researchers are confused about what they are actually trying to do.”

Huitfeldt explored that problem in the British Medical Journal’s Christmas issue — a lighthearted collection of articles that address important scientific concepts. His piece, “Is caviar a risk factor for being a millionaire?” examines how the term “risk factor” can have at least four distinct meanings in scientific literature. For example, does caviar consumption predict current wealth (is it diagnostic)? Or the likelihood of amassing wealth in the future (prognostic)? Does it actually play a role in how wealth accumulates? (For example, does eating the fish eggs make you a stock-market wizard?) Or does the act of caviar consumption simply increase the probability of wealth, perhaps by bringing the consumer into close proximity of other wealthy movers and shakers with whom profitable deals can be struck?

“The outcome of the study varies tremendously depending on what the researchers mean by ‘risk factor,’” Huitfeldt said. “Until they agree, it’s not even clear how the question should be addressed. And this uncertainty becomes a serious impediment to processing information correctly to arrive at the scientific truth.”

For a more in-depth look at the many issues affecting research reproducibility, and the ways that Stanford scientists are attempting to address them, check out “Can you repeat that?” in the summer 2016 issue of Stanford Medicine magazine.    

About Stanford Medicine

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2023 ISSUE 3

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