view the rest of the comments
Fuck Cars
A place to discuss problems of car centric infrastructure or how it hurts us all. Let's explore the bad world of Cars!
Rules
1. Be Civil
You may not agree on ideas, but please do not be needlessly rude or insulting to other people in this community.
2. No hate speech
Don't discriminate or disparage people on the basis of sex, gender, race, ethnicity, nationality, religion, or sexuality.
3. Don't harass people
Don't follow people you disagree with into multiple threads or into PMs to insult, disparage, or otherwise attack them. And certainly don't doxx any non-public figures.
4. Stay on topic
This community is about cars, their externalities in society, car-dependency, and solutions to these.
5. No reposts
Do not repost content that has already been posted in this community.
Moderator discretion will be used to judge reports with regard to the above rules.
Posting Guidelines
In the absence of a flair system on lemmy yet, let’s try to make it easier to scan through posts by type in here by using tags:
- [meta] for discussions/suggestions about this community itself
- [article] for news articles
- [blog] for any blog-style content
- [video] for video resources
- [academic] for academic studies and sources
- [discussion] for text post questions, rants, and/or discussions
- [meme] for memes
- [image] for any non-meme images
- [misc] for anything that doesn’t fall cleanly into any of the other categories
these things like "may" and "could", etc. Are difficult to measure. But let's make up an example.
1 in 10 students gets distracted from an annoying loud sound outside the classroom every once in a while. And for about half of them it results in them not being able to follow math class properly.
That results in about 5% of students (half of 1 in 10) to get lower grades. Unfortunate, and unnecessary.
Some things are hard to measure down to the tiny detail and with 100% accuracy. That's why we compare scores from classrooms with different noise levels over the year and use claims like "a% to b% of students".
While not super precise, it still shows accurate results