pytonslange
Joined 8 years ago
Joined 8 years ago
It does not seem like the authors made even the slightest effort to control for any confounds.
>> To ensure brakes remain responsive in cold and wet weather, Model 3 is equipped with brake disc wiping. When cold and wet weather is detected, this feature repeatedly applies an imperceptible amount of brake force to remove water from the surface of the brake discs.
Having owned model Ys made in both China and Germany, I can tell you that the germans have not succeeded. The made in China Y was 100% no issues, while the German one looks like it has been in a collision already. Anecdotal, but this seems to be the pattern with cars delivered to Europe.
They did, kind of. The factor "waketime to breakfast" [Fig 3] has a beta of .14, which is by far the strongest modifiable factor. This may suggest that not eating breakfast at all may be even better than eating a bowl of sugar.
I really do not understand how the authors fail to even mention this result in the paper.
How did the authors get away with not even mentioning the strongest modifiable predictor of alertness in their study? I cannot comprehend this.
Otherwise GREAT study.
There still seems to be a lot of issues with lsp/pyright, and might contribute to why grep at least gives a more stable and predictable performance (https://github.com/anthropics/claude-code/issues?q=is%3Aissu...)