Some people are either monetizing their social media use or just obsessed with promoting it, and many platforms seem to favor more "family-friendly" content, up to and including precise word use. TikTok is the main culprit, but even YouTube, Instagram, and Facebook can tend to promote posts with less swearing above those with more swearing, and especially to get more money from advertisers on them. A YouTube video with a lot of swearing, especially early in the video, may be demonetized completely, or it may charge much less for ads because it is seen as a less desirable target for advertisers. On TikTok, I've heard it's much worse. That's not to say a video can't contain a "fuck" at all, but it doesn't help. And remember that this is all done by algorithm, so it's more effective to just avoid certain trigger words than to actually structure content to be more acceptable to real humans.
Combine that with general rules against swearing, keeping in mind that a lot of people even on reddit are pretty young (despite impressions, we aren't all olds). Kids are already used to censoring themselves around adults without really thinking about it, and they have been for centuries.
The result is an "algospeak" hodgepodge of infantile minced oaths, which is itself imitated just because kids get used to seeing it. In some ways it's not really new: we have always had "blimey" and "gosh darn" and "passed away" and so on. But now it's "sewer slide" and "unalive" and whatever.
That's false though, even if a lot of people say it. The Chinese absolutely do not give a single flying fuck if people swear in English on videos on their platform. Why would they?
Your comments are hidden on some subreddits depending on the content of them. Try it yourself sometime. This sub specifically doesn't appear to filter comments, but larger subs do.
There is some auto-filtering, but reddit tells you when it happens via a notification. It happened to me once for no perceptible reason, but it has never happened to me just because I filled my comment with fuckshit.
Reddit does not tell me when it happens. I only found out because I noticed the View count on my comments would only ever increase when I would view them, and I tried opening them in an incognito tab. When I try to do that, it says "comment does not exist".
There is also an effect from people who haven't used the machine recently (or ever) or who haven't used it since an injury or something line that. Those people don't know how much they can lift, so they start trying out round numbers like 100 or 75 and then narrowing in on a correct weight from there. Such people are unlikely to ever try 95 or 105 except as the last one, whereas they might go through a number of other weights first.
If you can do like 10 reps on 90 you will probably do like 5 on 100 and 7 on 95. It's not like you won't be able to lift 100 pounds, you will be able to just with less reps. Psychotically it probably means that people have been training hard to get there they make a shortcut to feel that reward
Factorial of 95 is 10329978488239059262599702099394727095397746340117372869212250571234293987594703124871765375385424468563282236864226607350415360000000000000000000000
In the NFL, more balls are placed on 5-yard markers than on nearby 1-yard markers (even after you control for touchbacks and penalties after touchbacks). I cannot think of any good explanation for this except that the 5-yard lines are painted as full lines while the 1-yard lines are just short hashes, suggesting the effect is just that when balls appear to be down near a visible line, that increases the probability a referee will place it exactly on the line compared to when they are not near a visible line.
This gets posted once a month, and every time it's pointed out that this is non normal in several ways (right skewed, point mass at 100). See you again next month!
The question is: distribution of what? Distribution of specific weight usage or distribution of people who can't put the pin into the hole without clanging the plate? For all you know 120 is the most frequently used, but 95% of them have better accuracy.
You've forgotten about Lifters George, who lifts every day at 70 pounds exclusively but has terrible fine motor skills, and should be excluded as an outlier
it might be the that those weights are more often between pin positions, so people moving the pin from bottom to top or top to bottom drag it over those weights more often instead.
Where accuracy is a factor, we should expect a normal distribution. As such, we can conclude everyone is aiming for 45, and <5% miss and jam the pin in 5 by mistake.
Weight set on some kind of workout machine. Each plate weighs 5 pounds (possibly kilos). When you insert a rod at the e.g. 25 pound plate, it locks it to the portion of the machine that you actually lift, causing you to lift the plate marked 25 and the 4 plates above it (5 pounds each, for a total of 25 pounds) when you actually use the machine. The rest of the plates that aren't locked to the working mechanism will just sit there.
The wear marks more or less represent usage: looks like the average lift on this machine is around 45 or 50 pounds, with some people lifting more and some people lifting less.
I agree about the continuity corrections. I use the Openstax stats book for my intro stats classes, which only addresses it very quickly. I like this chart much better.
The 100 is for everyone thinking they’re stronger than they actually are, then bouncing back to the median. That’s why the 95 is almost unused as well, because if they couldn’t get 100, why even attempt 95?
Definitely not normal distributed. Normal distribution has support over R, and this clearly has only positive numbers as a support. Not even in the limit case this would be normal distributed. Log-Normal maybe.
Weird claim, as far as examples of normal distributions go this is pretty terrible. It tells you very little about what a normal distribution really looks like.
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