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There is this french website[0] which (among other things) analyses TdF performances over the years.

They compute power metrics based on climbing times in the mountain stages. The trend these last few years is quite worrying, reaching and going above peak doping-era performances [1].

The website is maintained by a former pro-level coach of the festina era.

[0] https://www.cyclisme-dopage.com/

[1] https://www.cyclisme-dopage.com/actualite/2025-07-26-cyclism...


I don't read French, so can't directly comment on the content.

However, these year-by-year comparisons often miss a few key points...

- Technology advances. Looks at the jerseys worn during the peak doping era (Lance, etc) vs today - they look downright baggy in the 90s vs now. The bikes are more aerodynamic as well. The tire roll faster.

- Nutrition has changed MASSIVELY in the last ~5 years. Gone are bananas and pastries (even from the Italian and French teams). The "bonk" is almost completely a thing of the past at this level - cyclists are consuming carbs at rates that would have put most people on the toilet a few years ago. Part of this is better mixes; part of it is humans can simply consume more carbs than we thought possible (with appropriate gut training).

- Training itself has changed. It's year-round, it's far more structured. Everybody has a power meter, glucose monitor, etc. Kids are starting this structure training at younger ages.

Anyway, do I think pro cycling is 100% clean? No, of course not, there's massive incentive to cheat. Do I believe the top cyclists (Pogi, Vingegaard, etc) are clean (per current rules)? Yes. They're testing far too often to not be. Are they possible pushing the limits of what's legal? Probably (see also: CO training last year, which is now banned).


Thank you for your answer !

I'm trying not to pick sides but here are a few arguments they oppose to these key points :

- Technological advancement : Although it does play a role, they measure power in long climbs to limit that bias. Speeds are lower so aero plays less of a role. Bikes were already as light or even lighter in the 2000s. They also calibrate their power predictions against riders of the peloton who publish their power on strava.

- Nutrition has indeed changed, it helps producing near max power efforts at the end of long stages (aka durability) but doesn't play a direct role on pure max power (VO2 max related) which is what they are worried about.

- Regarding training, I'm not really sure, I think the pro peloton already had access to power meters in the 2000s.

- Regarding testing, it's indeed quite frequent but it's not bullet proof.

- I think the history of the sport is so bad it's hard to see the half full glass.


I raced in the early 2000s. Power meters were expensive, but Pros had them.

The only thing back then is they sometimes didn't use them on race day for fear they were too heavy.

Bikes are actually much heavier today than they were back then. Almost all bikes were near the weight limit back then, I just read an article where they weighed riders bikes at the TdF this year and some bikes were over 18lbs.

Disc brakes + Aero + Electronic components have really made the bikes heavier and have made it much more expensive to get a bike at the same weight as 10-15 years ago. You're either spending about the same money and getting a bike that is 1.5kg heavier or you're spending 2-2.5x more money to get a bike as light as what you would have bought in 2010-2015.


It's now possible to use triple back quotes to create blocks in MS Teams


I'm curious about the switch from boltdb to SQLite. How should one handle migrating existing podman environments ?


Fixed in release 5.0.0


main changes: - new podman db will be SQLite, existing boltdb db remain supported. - podman machine has seen many rewrites - deprecated cgroupsv1 will raise warnings


Annonced in the 2.2.0 release. Chained assignments will also no longer work.

There is a migration guide [0].

0: https://pandas.pydata.org/pandas-docs/version/2.2.0/user_gui...


Nice video, thank you. It's interesting to see how each technology behaves depending on the scale of the dataset. Duckdb is definitely killing it.


I'm not affiliated or anything but The Great Courses' "Bach and the High Baroque" [0] course is a great Series on Bach (Robert Greenbert's courses are great overall).

0: https://www.thegreatcourses.com/courses/bach-and-the-high-ba...


Seconded, I'm not particularly a fan of classical music but all of his lectures are really excellent


Not ready to throw 300usd on audio. Is there any good podcast with the history of music?


You can get it on audible for 1 credit or free


Check out Wondrium - CAD20 per month for I think the entire Great Courses catalogue


Using rootless podman limits the blast radius of a container escape.

Also many of the cappabilities described in this article aren't compatible with a rootless user deployment scénario.


The changelog mentions "Detect when init is terminated (solves #10802)"


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