this post was submitted on 14 Sep 2025
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Showerthoughts
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A "Showerthought" is a simple term used to describe the thoughts that pop into your head while you're doing everyday things like taking a shower, driving, or just daydreaming. The most popular seem to be lighthearted clever little truths, hidden in daily life.
Here are some examples to inspire your own showerthoughts:
- Both “200” and “160” are 2 minutes in microwave math
- When you’re a kid, you don’t realize you’re also watching your mom and dad grow up.
- More dreams have been destroyed by alarm clocks than anything else
Rules
- All posts must be showerthoughts
- The entire showerthought must be in the title
- No politics
- If your topic is in a grey area, please phrase it to emphasize the fascinating aspects, not the dramatic aspects. You can do this by avoiding overly politicized terms such as "capitalism" and "communism". If you must make comparisons, you can say something is different without saying something is better/worse.
- A good place for politics is c/politicaldiscussion
- Posts must be original/unique
- Adhere to Lemmy's Code of Conduct and the TOS
If you made it this far, showerthoughts is accepting new mods. This community is generally tame so its not a lot of work, but having a few more mods would help reports get addressed a little sooner.
Whats it like to be a mod? Reports just show up as messages in your Lemmy inbox, and if a different mod has already addressed the report, the message goes away and you never worry about it.
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Response study, n=389
Response study, n=128
Response study, n=72
“According to the research” lol
https://www.cdc.gov/mmwr/volumes/73/su/su7301a7.htm
n = 1608 on this one.
Every study I've ever seen that looks at the link between social support and depression/suicidal thoughts in trans people shows a very clear link. Given the prevalence of transphobia in our society, this can entirely explain the increase in suicidal thoughts in trans people.
So what's the sample size?
Also can you explain why that sample size isn't valid? Lots of important refrenced studies all over have double digit sample sizes and are acceptable because of the context of the study.
You can get a pretty good idea with a surprisingly small sample size, as long as your sampling isn't biased in some way.
N is the sample size.
How big do you expect a study on 1% of people to be?