Small subgroups of the population seem much larger to many Americans
today.yougov.com
today.yougov.com
I do like their more entertaining content - such as this: "You’re doing Italian food all wrong, say Italians." [1] I'd like to see more data binned as "Acceptable/Not Acceptable/Divisive to Italians".
[1]: https://yougov.co.uk/topics/international/articles-reports/2...
That said, research panels have huge issues across the board. I’d bet a significant majority of ‘Americans’ responding to this study are using vpns to participate from other countries.
Based on the census-reported prevalence of Black individuals in the community, they would need to be significantly overrepresented in University teaching in order for most students to take courses taught by them!
In light of that, I have a standing offer to speak on behalf of any Senator who sends me written remarks and does not feel safe (either physically or career-wise) being publicly identified with their opinions. I'm sad to say that this offer has been utilized.
If you're considering hiring someone who did a degree in Political Science, on the other hand...
The questions were along the lines of: Why is D&I openly telling us they are prioritizing the hiring of engineers from Sub Group $A instead of Sub Group $B, when $B is also a minority but is much less fairly represented by our company in relation to the population. The fact of the matter is, they don't want to admit that some minorities in tech are more equal than others.
If anything, it is almost the opposite. The idea is that intolerant minorities can get to have their preferences dominate if they are more-or-less evenly dispersed among the larger population.
Assuming students had 45 courses the majority of students should eventually have a black instructor at 1.7% as 0.983^45 < 50%. At 3.5% and 45 courses 80% of students should have had a black instructor at some point.
Of course blacks are likely to be under represented in applicants for such jobs, but that’s a different issue.
98.8%^25 = 74%.
Further your 30 credit lower bound requires every class to be 4 credit hours which is clearly ridiculous, especially when you mention 1 credit hour courses.
Garbage in Garbage out.
PS: “Repeating same instructors” how tiny is your school? I repeated the instructors 4 times before graduation and I went to a small school.
Many professors would teach multiple courses, but they where split across undergrad programs and graduate classes plus general education requirements. Toss in some part time adjuncts who actually did what the course was for professionally or taught at another school and overlap was extremely rare.
Perception is usually wildly off, in particular when affecting political positions, and as noted in the article that’s not the first survey to come up with similar results. The Ipsos one [0] has French guessing 30% of population as Muslims (vs 7.5 for reality) for instance.
[0] https://www.ipsos.com/en-uk/perceptions-are-not-reality-what...
We’re also biased toward thinking we’re average in our capabilities (amongst our in-groups, at least).
So it would stand to reason that those biases compose to believing our entire in-group, on average, holds coherent views.
We’re rarely wise enough to estimate our own margins of error, nor self-aware enough to know our own actual capabilities relative to others.
Looking at the stats[0] for 240 countries, 70+ have 20% of their population in the capital city, 41 of them having above 30% of the population.
[0] https://en.wikipedia.org/wiki/List_of_national_capitals_by_p...
While these people don't meet very many transgender people, the media gives them the impression that this is because they live in a bubble, which for immigrants is often true. They estimate based on the assumption that their experience is very far from representative. They have the same impression of the number of homosexuals, and they usually know several, but they also get the impression that average Americans know far more than they do. I've lived in immigrant communities for a long time and this has been an amusing point of confusion for decades.
Overestimating their prevalence is generally considered more polite than underestimating their prevalence, so people sandbag on the overestimation side. It is similar to if you asked people how old you are or how much you weigh; they will always sandbag to the more socially flattering side of their true estimate.
In my experience, the liberal white non-Christians I know are just as ignorant about minorities, they just have different priors. A friend of mine thought Vietnamese people supported Trump to get back at America for the Vietnam War. This is a highly educated person. It’s like COVID—conservatives vastly underestimate the effectiveness of vaccines, while liberals vastly overestimate their risk of hospitalization and death. https://www.nytimes.com/2021/03/18/briefing/atlanta-shooting....
They see them in the news, but don’t care enough to mentally separate them from LGBQ for instance.
About 15 years ago when I was in high school, I asked a classmate “without looking around, how many Asians do you think are in this class right now” (he had just ranted about how the Chinese were taking over everything). He estimated 70%. There were 4 out of around 30 or so. a lady who I later found out was extremely racist once told me quite confidently that NYC was >90% black.
Looking at prison population, 30% is actually significantly under the real figure (close to 50%).
[0] https://www.nytimes.com/2015/01/26/opinion/the-mill-of-musli...
For example, Zoey's Extraordinary Playlist gives the impression of high representation of minorities in tech (Sprqpoint is extremely DEI friendly being a woke silicon valley tech company, but even the main character's non-techy neighbor is a black genderfluid woman dating a gay black man).
The Dragon Prince gives the impression of high representation of minorities as well (with 1 main character and his kingly father black, 1 main character having gay parents, the rulers of the neighboring country being lesbian, etc).
I'm not saying that's wrong, just that minority groups don't need to make up 126% of TV actors in order to be overrepresented in main cast.
Heck, even outside of media, look at the Supreme Court. Soon 2/9 justices will be black, which is 22% of the court - an over representation of the black population. Again, not that I have a problem with that, just that DEI efforts can cause high visibility groups (such as a TV show's main cast) to be overrepressented by minorities.
And even as far as the Dragon Prince is concerned, it's interesting how you mention it as overrepresentation when much of the diversity is relegated to secondary characters. Callum, Rayla, Claudia, Soren and Viren are all white (elves are in some ways minority coded, but the British accent makes that remain firmly in the realm of coding), and seem to be straight and cisgender.
I personally love stories with "overrepresentation" - and not only just to make up for a massive history of erasure and underrepresentation. It makes me so happy to hear people saying "I usually don't feel seen, but THIS character, they look/sound/act like me!" Honestly, as a gay man I still don't feel especially seen - and as far as gay characters I feel connected to beyond just that, it's pretty limited. I can think of maybe... 4 main characters? And they're all in the past few years.
Another reason why this "feeling seen" thing can matter to people is that stories can give people a template to imagine their own life. If I see a gay couple I can connect to, it becomes easier to imagine my own future - what my family may be like in the future, and what kind of person I might be in that relationship. And while it's absolutely possible to think of those sorts of things via straight representation, or just brainstorm separately, for me there's something extra to seeing it in action.
For what it’s worth I don’t watch shows/TV, yet I’ve heard of both umvi’s examples but neither of yours. I suspect you might be overestimating their influence.
"‘Euphoria’ Is the Most-Tweeted TV Show of the Decade (So Far)"
https://variety.com/2022/digital/news/euphoria-most-tweeted-...
and
"‘Abbott Elementary’ Is No. 1 Most-Tweeted TV Comedy of the Year to Date"
https://news.yahoo.com/abbott-elementary-no-1-most-171433284...
Also this https://www.imdb.com/chart/tvmeter/?ref_=tt_ov_pop list has Euphoria as #2 (formerly #1), although to be fair Abbott is not on the list, and I'm personally not familiar with Pieces of Her. So fair enough, might be overestimating for Abbott - but it is on ABC so perhaps relevant to average people. And of all of these shows mentioned, I've only seen The Dragon Prince - I'm only aware of the other ones via discussions.
The most obvious point is, how do you tell someone you met is transgender ? The question itself is pretty weird IMHO.
It would also be interesting to see how many gay people the Americans responding to the pew survey reported to have met.
All in all, these survey are about what people think, it seems pretty hard to come up with control numbers, or validate a methodology as much better than another in meaningful ways. At most we could have different surveys from different groups converging toward the same numbers.
I wonder how these responses would have differed if they had simplified the questions to something like: “If you were in a room with 100 people in it, how many would you expect to be X, excluding yourself?”
May have better reflected actual experience rather than general 'perception'
During Michael Bloomberg's brief presidential campaign, multiple reporters thought it was a plausible claim that he had spent over a million dollars per American (https://www.politifact.com/factchecks/2020/mar/06/msnbc/bad-...). This requires both impressive innumeracy and a total absence of common sense.
My guess is someone who said 30% of the country lived in CA is unlikely to say 30% of the country lives in Texas. Probably there are outliers for each far above 30% that average out in each category. Would love to see a deeper analysis on how the responses break down across questions.
People simply don't approach these questions from starting with a whole, then considering a portion.
Ask people if the government should help group X, yes. Sum up the costs of all their answers, hell no.
I had assumed most Americans knew the US consisted of 50 states, so their estimates for the population of a single state should have started at 1/50 = 2%. Clearly I was grossly mistaken.
That’s also what most Europeans think.
There was a time during early covid where I did a bunch of research surveys to kill time, and there were quite a few where the I was questioning if the intent was to bias the result or if it was accidental with how they set up the survey form.
It looks rather like a bunch of people said 50% to everything, skewing the means towards the middle.
65% is the oft-cited "home ownership rate", however that is defined as the fraction of occupied homes with an owner in them. Move back in with your parents after college? Rent from a live-in landlord? Congrats, you "own a home" according to this absurd statistic.
A much more reasonable number would be something like the percent of adults who either own a home or are married to someone who does.
The estimations range from 20% on the low end to 60% on the high end, which are numbers that easily come to mind and have relevance in reality (like you have probably cut something into 5 pieces before, but not into 100 or 1000).
You get the same effect if you ask people to estimate the likelihood of dying in very improbable events like school shootings or lightning strikes.
"Black Americans estimate that, on average, Black people make up 52% of the U.S. adult population; non-Black Americans estimate the proportion is roughly 39%, closer to the real figure of 12%. First-generation immigrants we surveyed estimate that first-generation immigrants account for 40% of U.S. adults, while non-immigrants guess it is around 31%, closer to the actual figure of 14%."
If there is one obvious mistake, I wonder what else they got wrong or used the wrong criteria for.
"If you had to guess, what percentage of American adults..."
* Are left-handed
* Have at least a high school degree
* Are Hispanic
* Are Catholic
* Have an advanced degree
* Have a household income over $500,000
* Are vegan or vegetarian
* Are first-generation immigrants
* Have a passport
* Have a household income over $100,000
* Live in Texas
* Are fully vaccinated against COVID-19
* Live in New York City
* Own a smartphone
* Are Jewish
* Are Muslim
* Have flown on a plane
* Are a military veteran
* Own a gun
* Are Asian
* Have a driver's license
* Own a house
* Are Native American
* Have a household income over $1 million
* Are married
* Own a car
* Are members of a union
* Are atheists
* Have at least one child
* Have a household income over $50,000
* Are Democrats
* Are transgender
* Are gay or lesbian
* Are obese
* Are Black
* Are bisexual
* Have a pet
* Have read a book in the past year
* Are white
* Live in California
* Voted in the 2020 election
* Are Republicans
* Have a household income over $25,000
* Are Christian
* Have at least a college degreeIt’s hard to know what’s going on with these polls. Perhaps it’s simply mathematical illiteracy.
But I bet the average person knows the groups are rare or very rare, just not what 20% actually means in terms of rarity
I think humans are more naturally inclined to ratios and proportions, and not percentages. I've found that people who aren't accustomed to how a logarithmic scale works likely won't have a good feel for what the extremities of the percentage range actually represent.
The point isn't that people are so badly informed about the state of their own country, it's why are they so badly informed, and what is going to be done to improve it.
It’s just people going “probably a small number”, being asked to quantify that, and throwing out 20-30% because that feels like one.
If correct answers take more work to enter, then I expect there to be fewer correct answers.
There was a deepfake experiment on the site recently asking people to use a slider to estimate their confidence that a particular video, audio or text clip was faked. That used a slider between -100 confidence and 100 confidence, and I really sincerely doubt that anyone spend any amount of time thinking about what number they entered. It was just a way to introduce noise.
uncertainty-based rescaling — leads people to systematically overestimate the size of small values and underestimate the size of large values.
Basically, when you're not sure what the actual number is, you tend to anchor your guess on 50%, not 0% or 100%.