There are many, many ways to tell this story. However it resonates because it fits well with an ongoing dynamic. Which is that programmers naturally want to build perfect tools while the business need tends to be for a quick and dirty solution that can be assembled out of prebuilt pieces.
Except that this one is extreme. It is hard to find any programmer who builds a more perfect tool than Knuth. There isn't a better known problem where the discrepancy between the perfect and the good is this dramatic. Therefore this became the poster child for this ongoing type of conflict retold by those who see themselves as on the side of the quick and dirty solution built out of preassembled pieces. Who, of course, slant the story to further fit their prejudices.
This kind of slanting is common. Take a famous WW II example where they were looking to improve bomber durability by putting more armor plate where the bombers were coming back hit. A wise statistician advised them that those were the spots that didn't need armor, they should put it on where the bombers were hit and didn't come back. Which, assuming that bombers were hit evenly everywhere, was all the places that they didn't find holes.
The reasoning is perfect, and illustrates a key point of statistical wisdom. But the retelling of the story almost never admits that the advice didn't really make a difference. The actual solution to the rate at which bombers were being destroyed was to drop chaff - strips of aluminum cut to half the length of the German radar - so that the radar systems got overwhelmed and the Germans couldn't find the bombers.
Except that this one is extreme. It is hard to find any programmer who builds a more perfect tool than Knuth. There isn't a better known problem where the discrepancy between the perfect and the good is this dramatic. Therefore this became the poster child for this ongoing type of conflict retold by those who see themselves as on the side of the quick and dirty solution built out of preassembled pieces. Who, of course, slant the story to further fit their prejudices.
This kind of slanting is common. Take a famous WW II example where they were looking to improve bomber durability by putting more armor plate where the bombers were coming back hit. A wise statistician advised them that those were the spots that didn't need armor, they should put it on where the bombers were hit and didn't come back. Which, assuming that bombers were hit evenly everywhere, was all the places that they didn't find holes.
The reasoning is perfect, and illustrates a key point of statistical wisdom. But the retelling of the story almost never admits that the advice didn't really make a difference. The actual solution to the rate at which bombers were being destroyed was to drop chaff - strips of aluminum cut to half the length of the German radar - so that the radar systems got overwhelmed and the Germans couldn't find the bombers.