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I just want free food housing healthcare for everyone, and I know we have the means to do it

Because women get way better grades, easily.

What were their math SAT scores?

Hello everyone,

I am currently plotting, measuring, and visualizing every single high school baseball field in the United States. I currently have all of the data for Alaska, Ohio, Utah, Hawaii, and West Virginia (currently working on Maine). This is my second iteration of this type of graphic. Ohio's version is done but needs to be reformatted. Here are the other works of mine showcasing the weirdest fields of the states I listed previously:

• Ohio part 1
• Ohio part 2
• Ohio part 3
• Utah
• Hawaii
• Alaska does not have a weirdest field version as all of them are relatively normal.

And here is the link to the other overlay graphic I made:

• Hawaii Overlay
• Alaska Overlay

Sources: Google Maps, WVSSAC

Tools: Google Maps, Illustrator, Photoshop

I post a lot of high school baseball field stuff on my Twitter as well, so check that out if you want. Hope you all enjoy :)

I mean I know higher education is a bit different than regular/high school, but unless it's the best uni in the country or the world, I can't imagine imposter syndrome manifesting that way. I'd speculate that any discrepancies were a result of the ratio of men to women anyways, and/or the ensuing culture from the slightly men-centric survey pool.

For all I know they just felt a bit less welcome but OP was only checking for imposter syndrome, there's honestly so many questions and unknown variables that this data seems like utter gibberish to the scientific method. Also why even interview students? Why not post grads that either have or are struggling to find a career?

I’d call it a presumption, here’s a government that told us N95 masks weren’t effective at preventing infection, so they could save them from the healthcare workers. A huge lie.

This government that sent out two measly covid tests 3 months after the first Omicron surge. They had an entire year and scientists to tell them to ramp up production because the virus would mutate.

Literally everything they’ve done has been pathetic, so yeah I’m not optimistic about them controlling every aspect of the economy.

Almost everyone wants the poor to be better off, but communism has never worked, and when you point that out to people their response is, yeah but it’d work in utopia.

Sure, but in the real word that much power leads to tyranny, and no organization (government) can do everything right. Corporations need to stay in their area of expertise.

Not sure why people want a massive bureaucracy in the middle of every aspect of their lives.

Yes, the scale makes no sense haha. Arizona was 1065%.

you compared the poorest part of America to entire countries with their own economies 🤦🏽 now compare Mississippi to the poorest part of Vietnam/Morocco/Honduras

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This data isn't very beautiful, both in style and substance. What's being surveyed doesn't even make sense in the context of your "findings," why and how can you measure levels of imposter syndrome in people *that haven't even gotten their degree yet?! Like why not survey post-grads??? Also the way the data was laid out is an assault on the eyes and mind. Not to mention you mixed and match sex and gender on a whim, even in a cisnormative world it's not very scientific to conflate categorically different groups like that.

I know this kinda shit is run of the mill for this sub, but that's kinda the problem. Reddit "scientists" survey or compare absolutely ridiculous things to come up with even more ridiculous conclusions, and many of them try graphs and crap to pass it off in subs like these. Many bootleg Reddit scientists are also bootleg graph designers; cuz it wouldn't be enough to just be a blight on academia, they just gotta ensure they suck with computers and or physically drawing the art too.

That does look better - thanks.

Maybe the results would have been different if the population had to complete the survey using a command line interface instead of Google fucking Forms

Or, hear me out. Give everyone $1000 (which should scale with inflation & COL) and say "this should cover part of your rent, food, clothes, etc."

No one is asking the government to start their own free clothing production company.

As for a waiting list, not really. There are other countries where housing units are required to be non-profit and rented at cost. They also have a ~30% market share of private housing units that are for-profit. The non-profit drives the cost of for-profit housing units to be competitive and barely above cost. There are little to no waiting lists. And no the places aren't shitty.

That last argument is just fear.

It would be interesting to share this with your program coordinator to create support groups for women in the program to help build confidence while in school to help them with their career once they graduate. Confidence is a skill that needs to be practiced.

Putting the labels at a 45 degree angle would be a little bit better, too.

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No one cares about career women dude

That’s a lot of assumptions about how it would work (I 100% get where you’re coming from/saying tho)

Ok, just keep in mind that the government will make a much worse fashion designer, a much worse cook, and there will be a two year wait for a crappy roach invested place to live.

CA only has weather as a plus, for the most part. It is becoming more and more like Blade Runner with only the wealthy being able to afford housing. Those that leave and take their proceeds tomorrow affordable states are the winners. L.A. fuggetaboutit....

Sure, no worries. What makes a "good design" is highly subjective of course, but I think there are a couple of things that are super easy to do in less than a minute that would greatly improve the quality of this graph: First of all, edit the axes: Give both of them a solid black line and change the scale to start at zero. I would also add some tick marks. For this particular graph, I'd change the y-axis to start at zero and end at 2500 %. I'd set the main interval to 500 % and set the minor interval to half that (and make sure to enable both tick marks). I'd also change the width of the bars by setting the gap width to 50 % (standard is - for some reason - 219 %). I would also add tick marks to the x-axis. Maybe increase text size by at least 1 point and definitely change the text colour to solid black. If you feel fancy, change the font. Maybe add labels to the axes as well. A lot of these things are personal preference, but a good litmus test is to look at your graph at half or even quarter the size and see if you can still make out its meaning. If you can't, it's probably a bad graph.

So while I didn't find the exact data set you used, I found a similar one that I put together in literally two minutes: https://i.imgur.com/xIZbXCy.png - I do however like that you use the full names of the states, instead of the abbreviations I used - I just couldn't be bothered to look them up ;)

Also, maybe a map would have been the best format for this data. Also also, I honestly don't really understand the numbers in this. Is 2500 % a lot or not? I think the data should be in some form of context - compare it to inflation or purchasing power in general - something that puts it into perspective. 2500 % looks impressive, but maybe it isn't really. Humans aren't super great at estimating numbers over these kinds of time scales.

You need a hypothesis test to back up that claim based on this data. Those two groups for imposter syndrome look pretty similar given the SDs.

Maybe there's another layer, ie that other paper about better looking students getting higher grades? In this case better looking == women, in a predominantly male env.

>The fact that there were only
students with high school averages in the 90s is because the software
engineering program at my university is incredibly competitive.

Hello sampling bias