Cool Guides
Rules for Posting Guides on Our Community
1. Defining a Guide Guides are comprehensive reference materials, how-tos, or comparison tables. A guide must be well-organized both in content and layout. Information should be easily accessible without unnecessary navigation. Guides can include flowcharts, step-by-step instructions, or visual references that compare different elements side by side.
2. Infographic Guidelines Infographics are permitted if they are educational and informative. They should aim to convey complex information visually and clearly. However, infographics that primarily serve as visual essays without structured guidance will be subject to removal.
3. Grey Area Moderators may use discretion when deciding to remove posts. If in doubt, message us or use downvotes for content you find inappropriate.
4. Source Attribution If you know the original source of a guide, share it in the comments to credit the creators.
5. Diverse Content To keep our community engaging, avoid saturating the feed with similar topics. Excessive posts on a single topic may be moderated to maintain diversity.
6. Verify in Comments Always check the comments for additional insights or corrections. Moderators rely on community expertise for accuracy.
Community Guidelines
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Direct Image Links Only Only direct links to .png, .jpg, and .jpeg image formats are permitted.
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Educational Infographics Only Infographics must aim to educate and inform with structured content. Purely narrative or non-informative infographics may be removed.
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Serious Guides Only Nonserious or comedy-based guides will be removed.
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No Harmful Content Guides promoting dangerous or harmful activities/materials will be removed. This includes content intended to cause harm to others.
By following these rules, we can maintain a diverse and informative community. If you have any questions or concerns, feel free to reach out to the moderators. Thank you for contributing responsibly!
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I like how you explained how the dataset was biased, then instead of describing how to eliminate/reduce that bias, you applied the same underlying tactic to make someone else look bad instead.
Oh, I'm just curious about alternatives. There's a lot of ways to measure this, but only a few that are mostly unbiased.
The results will likely always be skewed one way or another, since this is about punishment, not the number of people committing the crime. It's impossible to know how many people drive while intoxicated, we only know how many get caught doing it. The data is flawed from the start.