[fanzhang]

Not sure if this study will replicate:

The study had about 30 participants, with 15 in each arm, so that's not a lot of statistical power to begin with.

Both the low-glucose-label and high-glucose-label arms showed a spike in actual measured blood sugar after ingestion. The difference in blood glucose between the two arms was just about 10%.

The naïve p-value between the two arms was barely significant at 2%, 6%, and 2%, but the p-values were taken from a complex model that probably has p-hacking problems and needs p-value correction.

I would wait for the replication study before believing in this effect. If the effect is real, they only need to double their sample size to get a t-stat of 3 instead of 2, which would give a much more convincing p-value of 0.2% instead of the 2-6% right now.

I applaud the authors for exploring this theory though, and encourage replications to push the p-value down.

[glormph]

Not that my statistics knowledge is great, but I wonder why they don't show fig.4 with SD bars? (Or if the plot represents the model, show the data points the model was fitted to?)

Edit: fig.4, not fig.3

[bfieidhbrjr]

This isn't the only study, and this isn't new information they've found.

[eganist]

> This isn't the only study, and this isn't new information they've found.

Do you have the others? They're not readily googlable- I've tried.

[TACIXAT]

This is what it made me think of. IIRC spitting out a sports drink was the same or more effective compared to actually consuming it during exercise.

https://www.runnersworld.com/nutrition-weight-loss/a20832306...

Also see citations 7,8,9 in the Nature article.

[bfieidhbrjr]

Jason Fung in, I think, his second solo book, has a list of citations.