Trombone5's comments

Well, putting aside the ease with which you deflect an prolonged episode of systematic repression based on ethnicity, did you look at the map?

The scale of the forced displacements is literately continent scale! Its probably the biggest settler colonization in history. Compare with the colonization of South America, where the Spaniards aimed to use the existing population for labour, and thus gave them some rights and allowed them stay. Or Africa, where the Colonial powers basically conquered for labor and not for land to settle.

I don't know that the pattern of forced displacement has ever occurred on this scale, and with so high compression. Usually when people are forced from their lands, there are some crappier lands somewhere else they go to. From the map this obviously was not what happened. The tribes where forced into extremely small areas over the course of just a hundred years.

The argument in the article seems strange to me: "downstream relied on undocumented behavior, and now that behavior has changed, so downstream breaks"

So what should upstream do? After all, the premise must be that the upstream does not control or even know about all the clients! The entire point is to separate the concerns, so how could upstream know if a bug fix is a breaking change if it passes the internal regression tests?

Of course they can't know without asking downstream, and hence the use of release candidates.

I think its funny how he claims location sampling at different times is not a measurement of speed.

It's strange how he mentions the sampling speed, but then pretends it's 1/3 second. Basically what he is attacking is the worst design of a speed gun that he could imagine from the public information. A more fair challenge would be to find sufficient error from a competent design of a speed gun, but then it wouldn't be as self serving.

Yeah, upon seeing the github link I was thinking some poor sod had implemented some polynomial expansion algorithm, and had never heard of sympy. The it turned out to be sympy.

Soon people will post links to the gnome repos with the title "A open source desktop environment for linux" ... now I'm tempted to do it myself.

Yeah, the article quite a clear example of a blind application of statistical tools, the only useful thing being their idea to do quantitative design research. The top five is only a reasonable selection if the search is for patterns linking the top contenders per category. Trying to find indication of what positively influences a top ranking in a certain category without considering what those outside the top have done is astonishingly wrong.