What I mean is like for example, a person having “gravitational pull” or someone making a “quantum leap” makes no sense to anyone who knows about physics. Gravity is extremely weak and quantum leaps are tiny.
Or “David versus Goliath” to describe a huge underdoge makes no sense to anyone who knows about history, because nobody bringing a gun to a sword fight is going to be the underdog but that’s essentially what David did.
I’m looking for more examples like that.
“Positive feedback loop” to indicate a situation in which circumstances feeding into each other result in more good things happening, or “negative feedback loop” to indicate bad circumstances feeding into each other to result in more bad things happening.
I have worked with enough controls folks to know that positive feedback in a control loop often leads to instability (bad), while negative feedback in a control loop can be used to stabilize the system (good). It just comes down to the math in the situation.
So people saying that they are in a positive feedback loop can, to a controls person, sound counterintuitive. E.g. “I’m in a positive feedback loop of working out, having more energy as a result, and working out more, making me healthier!” would be momentarily confusing.
I did grad school at an engineering/STEM-focused school, and the campus psychiatrist actually used these terms correctly when discussing anxiety attacks! As an engineer myself, that made my nerdy heart happy 🤣
Another control theory phrase issue: The phrase “more optimal” is incorrect and very well may earn the speaker an “umm, actually” from any controls folks in the conversation. Optimality is not a scale–either something is optimal (with respect to a specific metric), or it isn’t.
(EDIT: reducing verbosity)
Hm, this is interesting. I only have a passing understanding of control theory, but couldn’t a positive feedback loop indeed be good when the output is always desirable in increased quantities? A positive feedback loop doesn’t necessarily lead to instability, like you said. So maybe this is just me actually-ing your actually, lol.
As for “more optimal”, oof, I say that a lot so maybe I’m biased. When I say that I’m thinking like a percentage. If optimal is X, then 80% of X is indeed more of the optimal amount than 20% of X. Yes, optimality is a point, but “more optimal” just seems like shorthand for “closer to optimal”. Or maybe I should just start saying that?
This reminds me of a professor I had who hates when people say something is “growing exponentially”, since he argued the exponent could be 1, or fractional, or negative. It’s a technically correct distinction, but the thing is that people who use that term to describe something growing like x^2, are not even wrong that it’s exponential. I feel like when it comes to this type of phrasing, it’s fine not to deal with edge cases, because being specific actually makes what is said more confusing.
“I’m in a negative feedback loop with respect to my laziness which will soon stabilize with me continually going to the gym daily, which is closer to optimal than before. As a result, my energy levels are going to increase exponentially, where the value of the exponent is greater than 1!”
Hmm. Now that I say it that doesn’t seem that crazy. Although I do still think some common “default settings” don’t do any harm.
Those are good points! I can imagine positive feedback to be desirable in some situations and to some extent–a musician’s amplifier needs to have some positive feedback to amplify the frequencies they care about, for instance, but likely also needs some negative to cancel out frequencies they don’t want to amplify, either in the amplifier itself or in the sound booth. Or maybe for some chemical processes, where you always want to make more of product X, and you’re just adjusting the positive feedback to keep the production of X at a certain range of acceptable rates. It all comes down to the math and the desired output! My areas of work are mainly related to areas where negative feedback is desired, but it’s really very context-specific.
As for “more optimal,” I think I picked up the habit of avoiding that phrase due to grad school being my life for so long. A lot of my cohort was very controls-focused in their research, and several of the controls profs would correct presenting/proposing/defending students if they used that phrase, so we got used to either avoiding the phrase entirely or jokingly pointing it out if a fellow student said it. But in my full-time job now, things are much more relaxed with respect to that sort of thing. Maybe in a few years, I won’t hear those profs’ “can you tell me what you mean by ‘more optimal?’” didactic questions in my head when I encounter the phrase 🤣 And yeah, exponential growth is another good example! It’s clear in the colloquial sense, but my engineer-brain still thinks “wait a minute…” when I hear it!
One of the things I remember most from high school biology is “an organism exists in a state of negative feedback, and when that feedback becomes positive it dies”. It applies to way more than just biological organisms, and is less confusing to laymen than anything about valleys in the space of possible configurations.
More optimal is not only wrong but a bullshit, unnecessarily wordy way of saying “better” in the first place.
Interesting! My last biology class is a tiny speck in my rearview mirror, so I’m not sure that I’m understanding it the way your class meant for it to be understood, but I think that that makes a lot of sense. Too much of one kind of input to a living thing without an output to balance it out can be disastrous.
They meant it in a homeostasis kind of way, not matter conservation. If a cell responds to an increase in osmotic pressure with more osmotic pressure it will not be a cell for very long. Ditto for body heat, hormones, cell growth or any number of other things in a multicellular organism. I guess it was just an interesting, birds-eye way of approaching the topic, and most of the other stuff was not as memorable.