> and I have experience with construction as well.

Just so we're clear, construction isn't engineering[0]. The difference does matter specifically in what we're talking about.

> If your implication was followed in software (i.e. try to predict the future and introduce hidden floors, service floors and such) — and it sometimes is — we really end up with worse, more complex software that has technical debt built in from the start.

But again, I think this belies you. Yes, I've made the assumption that you either didn't read Dan's blog in full or listen to Hillel's video, but can you blame me? This sentence is something they both explicitly discuss. You don't have everything figured out in engineering. Frequently you are doing your designs and then get them built by a manufacturer and then reiterate. This is very much akin to writing code, running tests, and rebuilding.

Hillel discusses this right here[1] (this also addresses your last line)

>> The idea that software is inheriently unpredictable and you're always doing completely new things all the time. While engineering is basically doing the same thing over and over again. Umm... yeah... so... this is probably the only question I got where people would start laughing at me when I asked it.

Or from Dan, not far in he says

>> And, of course, only someone who hasn't done serious engineering work in the physical world could say something like "The predictability of a true engineer’s world is an enviable thing. But ours is a world always in flux, where the laws of physics change weekly", thinking that the (relative) fixity of physical laws means that physical work is predictable. When I worked as a hardware engineer, a large fraction of the effort and complexity of my projects went into dealing with physical uncertainty and civil engineering is no different (if anything, the tools civil engineers have to deal with physical uncertainty on large scale projects are much worse, resulting in a larger degree of uncertainty and a reduced ability to prevent delays due to uncertainty).

I'm not interpreting your point too directly, I'm interpreting your point how you're asking I do in the followup. I am telling you the same problems happen in engineering. It is *all* about uncertainty. You are constantly doing new things that people haven't done before. In fact, the entire field of statistics is centered around uncertainty. Randomness is literally a measurement of uncertainty. Yes, it is true that in CS we don't have as formal of a base to derive complex equations and better (but not completely!) account for that uncertainty, but Dan also addresses this immediately after my quote.

In fact, let me quote from a footnote of Dan's. #2

>> When I listen to cocktail party discussions of why a construction project took so long and compare it to what civil engineers tell me caused the delay, the cocktail party discussion almost always exclusively discusses reasons that civil engineers tell me are incorrect. There are many reasons for delays and "unexpected geotechnical conditions" are a common one. ***Civil engineers are in a bind here since drilling cores is time consuming and expensive and people get mad when they see that the ground is dug up and no "real work" is happening (and likewise when preload is applied — "why aren't they working on the highway?"), which creates pressure on politicians which indirectly results in timelines that don't allow sufficient time to understand geotechnical conditions. This sometimes results in a geotechnical surprise during a project (typically phrased as "unforseen geotechnical conditions" in technical reports), which can result in major parts of a project having to switch to slower and more expensive techniques or, even worse, can necessitate a part of a project being redone, resulting in cost and schedule overruns.***

(Emphasis my own.) Does that not sound extremely familiar? Rushing for the sake of rushing? That this rushing just incurs technical debt and more surprises? There's surely the constant of management wanting things to be done faster and not recognizing that this creates future trip-ups that create more anxiety to rush and just perpetuates the problems in the first place.

> my point is that it is DIFFERENT and that same approaches do not necessarily work.

So I hope you can understand why I had thought you didn't read their arguments. I referenced the timestamp in Hillel's video[1] too. The next part of Hillel's discussion is literally about how much more predictable and consistent SOFTWARE is. *Their entire thesis* is addressing your point.

I'll leave you with Hillel again[2]

>> people like Pete McBreen and Paul Graham who say that we are not engineers because engineering cannot apply to our domain. Engineers work on predictable projects with a lot of upfront planning and rigorous requirements. Software is dynamic, constantly changing, unpredictable.

[0] I must stress that I'm not trying to say one is more important or better, just that they are different.

[1] https://youtu.be/3018ABlET1Y?t=1085

[2] https://www.hillelwayne.com/post/are-we-really-engineers/