Formerly /u/Zalack on Reddit.

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Joined 1 year ago
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Cake day: June 13th, 2023

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  • Theory in science generally means something much more stringent than it does in vernacular. From Wikipedia:

    A scientific theory is an explanation of an aspect of the natural world and universe that can be (or a fortiori, that has been) repeatedly tested and corroborated in accordance with the scientific method, using accepted protocols of observation, measurement, and evaluation of results. Where possible, theories are tested under controlled conditions in an experiment.[1][2] In circumstances not amenable to experimental testing, theories are evaluated through principles of abductive reasoning. Established scientific theories have withstood rigorous scrutiny and embody scientific knowledge.

    A scientific theory differs from a scientific fact or scientific law in that a theory explains “why” or “how”: a fact is a simple, basic observation, whereas a law is a statement (often a mathematical equation) about a relationship between facts and/or other laws.

    So when something is being put forward as “A Scientific Theory” it is meant to be taken as the best possible explanation we can make of why the universe is the way it is, backed by exhaustive tests using the best methods currently available to us.

    In science, when something is just a theory in the way you mean, it’s called a hypothesis.










  • It’s worth entertaining the observation that these learning models piggyback off underpaid human effort to funnel wealth towards the 1%.

    It’s just that the solution isn’t to stop the tech. That never works. It’s out in the world now.

    The real solution is much harder. We need to overhaul our economy and put in mechanisms to recirculate wealth downwards.


  • The dirty secret is that many problems inside of engineering are that way too. There’s a million equally valid solutions to any given problem and the one that gets chosen is all human factors.

    Like: Greenfield REST CRUD App. What language do you choose?

    Sure, you can make a million technical arguments for any given language, but there’s no real right choice. I’d choose Elixir because I like Phoenix/Ecto for that particular problem. I’m likely in the minority. The answer for most apps will be more borne of social politics than engineering.


  • I’ve seen variations of this opinion a lot in tech, but you don’t have to sacrifice frank feedback to be a little more polite. Like sure “this code is dumb” is better than “you are dumb”, but not as good as “this could be more efficient if we did y instead”

    The latter is more helpful and less confrontational. The best devs I’ve worked with have been excited about code, and that came through in review. When they saw something that was wrong their feedback came across as excited to share rather than affronted by ignorance.

    The thing devs don’t like to admit is that a ton of stuff we argue about is more taste than science. There’s no right answer to the classic performance vs readability thing, or where exactly the line is for effort vs payoff. Couching feedback around things like that a opinion often makes people way more receptive to it. “Hey I’d prefer if we did it this way” often goes a long way, IMO.