trivialsoup

Not only is it not implicitly SPA behavior, as you say, good back button behavior design is actually hard in a app setting. And you can’t generally “get it right” — no matter what you do, in a sufficiently complex scenario (which… that’s why you built an SPA, right?) users will disagree about what the back button should do!

Generalized anti-SPA sentiment is silly. Saying “bad implementations correspond with SPA” is true but also silly because there’s not as much to get wrong in non-app settings which admit a “traditional” approach. It’s like the xkcd observation about heat maps and population density.

Personally I find cheating repellent. But if a bunch of cheaters can curve you into a lower grade, you don’t know the material.

Sure but the new economy sedan is more expensive than the used economy sedan.

According to this interpretation therefore, if you build a new house, and it is broadly similar to houses in the neighborhood in which you build it… it’s going to be expensive relative to its neighbors. It will perhaps be perceived as “luxury” despite just being new.

If you listen to marketers fast cars make you younger and handsomer and give you a full head of hair.

Don’t look at how things are sold, look at how they are. In this case it’s code, of course there’s complexity.

What is important to realize when reading this that it is a case of survivorship bias.

This is totally true, but taken too seriously it leads to inability to learn anything from almost any information whatsoever. What’s more, whatever you do (whether you take the advice of those who have gone before or not), you will not be able to decide whether you made good decisions or merely “survived”.

How does one proceed when anything can be survivorship bias and determining cause and effect for large scale operations like running a business is essentially impossible.

(When I say “anything can be survivorship bias” I specifically mean that no matter the cohort you cannot decide whether you’ve accidentally excluded unknown failures, and hence you have no assurance of the actual strength of any analysis you do).