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submitted 3 months ago* (last edited 3 months ago) by spujb@lemmy.cafe to c/asklemmy@lemmy.world

(Example at the end)

Usually we discuss stereotypes in terms of how they are harmful—which is good because it’s super important to recognize and confront the stereotypes that perpetuate systems of oppression and hurt. That doesn’t mean all of them are harmful, though. Some are neutral and and some are a net positive. If you can think of neutral ones that’s fine but I’m especially interested in the constructive and beneficial ones. Hopefully I’m explaining this well enough but if it becomes clear I didn’t I’ll delete this post.

Example: I usually encourage people, especially kids and pedestrians, to assume that drivers can’t see you. While it’s not necessarily true even a majority of the time, it’s nevertheless a constructive stereotype to hold in terms of road safety.

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[-] NeptuneOrbit@lemmy.world 8 points 3 months ago

From Oxford:

a widely held but fixed and oversimplified image or idea of a particular type of person or thing.

Is a driver a type of person? Maybe. I think it's generally prudent to be cautious as a pedestrian, regardless of the rationalization or mnemonic. I don't think assuming drivers don't see pedestrians is a stereotype. Maybe it is.

Fixed and oversimplified seems to be doing a lot of work here. "Don't eat red berries, many red berries signify poison". That's an oversimplified idea.

"Asians are good at math". An example of a positive stereotype, which are also corrosive to the people they are applied to.

a woman driver probably doesn't see pedestrians

A negative stereotype that makes you sound sexist but also probably makes you more cautious as a pedestrian, but not as cautious as assuming any given driver could end your life.

Tldr: do you know what a stereotype is?

[-] spujb@lemmy.cafe 4 points 3 months ago

A widely held but fixed and oversimplified image or idea of a particular type of person or thing.

I agree with this definition. :)

Is a driver a type of person?

Why wouldn’t they be? Also note the or thing at the end there. A driver can refer to both human drivers and autonomous vehicles. But either way, every driver in history has been a person or thing.


"Asians are good at math". An example of a positive stereotype, which are also corrosive to the people they are applied to.

Positive, yes. Constructive, as I ask in my post, no. There is a reason I worded the question the way I did. Positive stereotypes might seem flattering, but they place undue pressure and expectations on individuals, which can be harmful. This isn’t a counterexample so much as an example that is not valid, and glad to see we agree here.


“a woman driver probably doesn't see pedestrians”—A negative stereotype that makes you sound sexist but also probably makes you more cautious as a pedestrian, but not as cautious as assuming any given driver could end your life.

So, we have to weigh the pros and cons. While such a stereotype might encourage cautiousness around women drivers, the perpetuation of patriarchal values that result in violence and exclusion against women is far more harmful. Therefore, applying gender to road safety is not constructive because the negative impacts significantly outweigh any potential benefits.


Tldr: do you know what a stereotype is?

A mean way to end this, come on man. :( Let’s remember to follow community rule 1: “be nice and have fun.”

[-] NeptuneOrbit@lemmy.world 2 points 3 months ago

Sorry, I don't think "driver" is a "type" of person for this purpose.

Maybe if you decided drivers are foolishly for being drivers and therefore in a different arena, say gambling, can easily be buffed against. "Drivers are risk takers and therefore it makes sense to bluff against them in poker". That's a stereotype.

To say drivers, while they are driving, don't look cautiously enough, or whatever, you are simply making a statement about drivers. Not about drivers in a different context. Not about a type of person who in the situation is a driver.... I don't think it's a stereotype. You'd either have to be unjustly discriminating against a type of driver or judging drivers in a context outside of driving.

[-] spujb@lemmy.cafe 0 points 3 months ago

“Don’t eat red berries, many red berries signify poison”.

The subject of the stereotype (red berries) even in your own example is still kept within its normal context (consumption). I will be keeping my own original understanding of “stereotype” for this reason. :)

[-] NeptuneOrbit@lemmy.world 2 points 3 months ago

It's also the FIXED portion. Everyone has seen people est and enjoy some times of red cherries. Yet, presumably, if you got new data showing drivers do actually pay attention and being a pedestrian was relatively safe you would adjust your beliefs.

A belief based on unbiased data ("being a pedestrian where I live is dangerous and this may be due to a lack of awareness by drivers") is not the same as an unfounded, fixed belief based on no data, unrepresentative data, or data that does not reflect the root cause.

[-] spujb@lemmy.cafe 1 points 3 months ago

I actually often see drivers smile and wave at me, disproving that they are unaware, and nevertheless I do not adjust my beliefs in the context of maximizing my road safety as a pedestrian.

[-] ekky@sopuli.xyz 3 points 3 months ago

I'm with you here, Neptune's definition seems to overspecify the extract from Oxford they presented.

If we boil stereotyping down to its core components, then it appears to simply be an instance of correlation using subjective and non-complete data: "This individual exerts traits a, b, and c, which means they are highly likely to also exert traits x, y, and z."

Or: "This individual is operating a car (unique trait/type of person), therefore their visibility and attention capacity are likely reduced or under strain (overgeneralization as driving might come natural to them, and fixed as I might assume that no one is a natural)."

^This is, of course, an oversimplification, as I'm going purely by Neptune's words and my own understanding, and have not looked up additional sources.

[-] Jesus_666@lemmy.world 3 points 3 months ago

Useful stereotypes can help a person avoid danger.

Unknown mushrooms don't have to be poisonous but being careless with them can lead to a grisly death. Drivers don't have to be unaware of me but it takes just one who is to put me in mortal danger if I'm not careful. A man following a lone woman at night where nobody else is around doesn't have to have ill intent but she's still better off being prepared for the case that he does.

Does this discriminate against mushrooms, drivers, and men? Yes, but that's the point. It's essentially an informal safety guideline and it deliberately overreaches just like real safety guidelines. The 999 times someone doesn't need that handrail don't outweigh the one time they do; not in OSHA's eyes. Because someone might die if the handrail fails that one time.

This whole thing becomes problematic when it gets over-applied. Avoiding canned mushrooms in the supermarket won't protect me from poisoning. Assuming that all drivers are blind and irresponsible will not improve my behavior on the road. Being afraid of all men in all situations will not make that woman's life better.

Like always, Paracelsus is right: The dose makes the poison. (And like with poison, some stereotypes are so toxic that any dose of then is bad for you.)

[-] spujb@lemmy.cafe 0 points 3 months ago

Love this explanation, thank you!

And some of the determinants of what makes valid- versus over-application are knowledge, cognition and time.

  • I don’t have training in foraging, so without that knowledge I use stereotypes to avoid danger
  • Children have lower cognition, so we tell them to stereotype that all strangers are dangerous until they are older
  • A woman walking alone at night may not have time to examine her biases, and so uses stereotypes to keep herself safe

I am interested to know if there are other determinants as well. :)

[-] spujb@lemmy.cafe -1 points 3 months ago

excellent breakdown 🙂

this post was submitted on 09 Jul 2024
21 points (76.9% liked)

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