#DonaldTrumpIsAHumanToilet
#DonaldTrumpIsAHumanToilet
Sick leave in the U.S. increased 55% in 2023 compared to 2019, according to new data from human resources platform Dayforce, which collected data from more than 1,500 of its clients. … employees younger than 36 are leading the charge, with a 29% leap in the amount of sick leave they took from 2024 compared to 2019.
How does the group leading the charge have a smaller increase than the increase of the aggregate? Was there a decline between ‘23 to ‘24? Am I misinterpreting?
Edit: I suppose it could also indicate that the under 36 demographic could have had a significant growth in proportion.
We have a mathematical model, Navier-Stokes (NS), that seems to describe motion of fluids well. In practice NS and related approximation models with simpler numerical solutions can be used to derive useful results. In that sense we can simulate turbulence for some sets of conditions and get useful approximations out. In general it’s still an open problem if NS has, given an initial velocity field, a solution that is globally defined and smooth. Practically this means we don’t know one way or the other if NS has initial conditions under which the velocity or pressure fields of the solution tend to infinity in finite time. This is the unsolved Navier-Stokes problem.
https://en.m.wikipedia.org/wiki/Navier–Stokes_existence_and_smoothness
Current article text doesn’t seem to match the post image. The fine is closer to 51 million than 51 billion USD.
4.6 billion rubles ($50.8 million)
It’s one backed by a lot of data. One example is from the Android project.
https://security.googleblog.com/2024/09/eliminating-memory-safety-vulnerabilities-Android.html
There’s an argument that critical infrastructure software vendors are already meeting standards for basic, non-memory related items. Yes, there are other categories, but memory safety is one that’s harder to verify. Moving to memory safe languages is an ensure a category of correctness. This excludes usage of unsafe escape hatches.