Sometimes we are bugged by some commonplace behavior, belief, or attitude, but bringing it up will come off as obnoxious and elitist. We all have those. I will tell you two of mine, in hope I am not unknowingly a snide weirdo.

1 - And/Or is redundant: Just use OR

At some point it was funny in context (like "the OP is stupid and/or crazy). I can hardly find a context that is not similar to this (arguably) ableist template.

In formal logic there is no use case for saying ‘and’ OR ‘or’, because simply OR entails AND.

If there was a valid case it should represent the logical structure of ‘AND’ OR ‘XOR’, but it is obvious that this is OR.

So, whenever we are tempted to say “and/or” it is kinda definitive that just OR should suffice.

2 - A ‘steep’ learning curve means the skill is quickly mastered : Just use ‘learning curve’

Apparently stemming from an embodied metaphor between the steepness of a hill and the difficulty of climbing it, this misnomer is annoyingly common.

I have yet to find a single source that does not yield to this erroneous, ubiquitous misconception.

Same goes for the fancier alternative ‘sharp’ learning curve.

In fact, in a diagram where the vertical axis is the skill mastery and the horizontal is time, a steep curve would mean that the task is quick or easy to master, since it reaches the higher level quickly, hence the steepness.

Since the literal alternative (‘Rust has a smooth learning curve’) will be counter-intuitive and confusing, and I bet nobody will adopt it, I suggest the following solution.

Almost every time you feel the need to reach for this phrase, YSK that probably just using ‘learning curve’ should suffice. For example ‘This language has a learning curve’. It gets the message across, without making others question your position in the graph interpretation learning curve.

What are your mundane grievances?

  • themusicman@lemmy.world
    531·
    4 months ago

    You misunderstand what a learning curve means. The x-axis is the desired level of productivity/proficiency, and the y-axis is necessary knowledge/skill. A steep learning curve means you need a lot of knowledge/skill to even be slightly productive/proficient, making the learning process daunting for new users. A gentle learning curve means you get rewarded throughout the learning process with frequent productivity/proficiency gains. A “cliff” means there will be a long period of learning with little to show for it until the end.

    • MagicShel@programming.dev
      151·
      4 months ago

      Very much this. No one ever talks about the labels of the axes of the learning curve. Time vs ability is not an unreasonable guess, but as you point out incorrect.

      I assume most people get by using the term without really thinking about the actual graph at all.

    • OneMeaningManyNames@lemmy.mlOPEnglish
      41·
      4 months ago

      I see, so you need way more knowledge to get a small increase in reward, hence the steepness. Point taken.

      Edit: Wikipedia though

      A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task, the better their performance at the task.[1]

      The common expression “a steep learning curve” is a misnomer suggesting that an activity is difficult to learn and that expending much effort does not increase proficiency by much, although a learning curve with a steep start actually represents rapid progress.[2][3]

      • agamemnonymous@sh.itjust.works
        4·
        4 months ago

        An activity that it is easy to learn the basics of, but difficult to gain proficiency in, may be described as having “a steep learning curve”.

        That’s what the phrase means, I’ve never heard someone use it to refer to a learning curve that starts steep. I’ve always heard it used to refer to activities where initial progress is slow and proficiency is delayed until after significant experience. A “standard” learning curve is a diagonal line, a “steep” learning curve is more like an exponential function.