It’s one backed by a lot of data. One example is from the Android project.

The percent of vulnerabilities caused by memory safety issues continues to correlate closely with the development language that’s used for new code. Memory safety issues, which accounted for 76% of Android vulnerabilities in 2019, and are currently 24% in 2024, well below the 70% industry norm, and continuing to drop.

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.

#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.

Sorry for not having a direct answer for your question.

First, are these videos using Dolby Vision? If so try a google search for “Dolby Vision green tint”.

Second, if this really is a corruption issue, are you sure you really want to write something custom to fix this? What else is wrong in those files that you haven’t noticed yet? It seems unlikely that they would all corrupt consistently. Did something transform them since they were last in a known good state? Do you have other means to revert that transformation?

Finally, if you do want to continue down your current path there’s a light discussion on the topic in this stack overflow thread. You’re going to need to contend with how videos are compressed, i.e. not every frame is actually stored. You’re likely going to loose some quality or bloat the file size through applying a correction process. If you find the right tools and want to minimize loss and bloat, you may need to use different solutions for different codecs.

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)

According to the Form 4 filed with this sale, the trade was planned at least as of May 19 using a 10b5-1.

The sales reported on this Form 4 were effected pursuant to a Rule 10b5-1 trading plan adopted by the Reporting Person on May 19, 2023.

https://www.sec.gov/Archives/edgar/data/1193857/000181080623000163/xslF345X05/wf-form4_169420518678431.xml