this post was submitted on 16 Jan 2024
402 points (90.0% liked)
Technology
60003 readers
3122 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
They do include the effect size of including non-binary students when they write "(nb. Non-binary students account for 0.3% of this total)" etc. so the impact on the actual data is shown, if you're concerned about the statistical analysis. It also does make sense to group them together in this context as they are both minorities in STEM. However the way the article is written makes it clear that including non-binary students was an afterthought; if it was clear in all the data and headings that the data is for both non-binary and female students with the interpretation that they are looking at just "students who aren't men" then it would have been a lot better.
We cannot do effective corollary research if groups are not independently researched with their own data, a 'minimum impact' is still an impact, one which can be used to portray a larger or smaller effect than there is between the actual groups being compared against, especially when there's a distinct call of 'white males' being a problem with no determination of class, culture or variance of religious vs non religious.
People are not blocks, they don't vote as blocks they don't work as blocks and they most assuredly do not behave as blocks. It's important to specify, separate, and effectively research each group and sub group in order to determine the veracity rather than just applying a claim to a useful and popular current enemy, e.g. 'white male'.