Comment by mustache_kimono

> .. [I]t is not at all about performance, but performance is the canary in the coalmine: it is a direct translation of the essential vs accidental complexity problem.

This is all nice color on my commentary, but it fails to address the point of my two parent comments: programming is an economic activity. Sometimes a putatively more complex solution is the "right" solution for someone else, because it is easier to understand and implement, or fits within an existing workflow (it is more coherent and consistent).

Yes, if the performance delta is an order of magnitude, then yes, perhaps that is a problems for such software, but then again, maybe it isn't, because economics matter. Lots of people use 10+x slower languages because for loads of technical reasons, but also economic ones.

> In other words: performance is an easy objective metric for the complexity that lies behind (an otherwise opaque) piece of software.

Then presumably so is performance per dollar? Your argument can make sense, where the cost of a redesign is low (in cost of programmer education and experience and ultimately work), and performance benefits are high (10ms faster nets us 10x more dollars). That is -- Blow, et al/you, need to show us where these, "easy", if you will, 10x gains are.

Again -- I agree performance problems are real problems, and data oriented design is one way to reason about those problems, but Blow's marketing exercise/catastrophizing (see "Preventing the Collapse of Civilization") hasn't solved any problems, and is barely an argument without an analysis of what such incremental improvements cost.