I was pointed towards https://en.wikipedia.org/wiki/Negative-index_metamaterial (thanks @varx) which seems to prove my conclusions incorrect. Hard to tell what the practical implications of this development already are however.
For me, the most fascinating part of the Twitter data (can be downloaded under https://twitter.com/settings/your_twitter_data) are the ad impressions. These list every ad that appeared on my screen at some point and which I usually didn't even see, along with the criteria responsible for choosing me.
Twitter Analytics are perpetually broken, and the notifications don't provide a good overview on who followed you and when, much less who unfollowed you. So I've written a followers.js script that, if run regularly, will log all follower changes for me. https://github.com/palant/twitter-to-rss/commit/821ded084ef07cf415fc96e5f72d736c13012ff4
Weird to see these hints listed for specific user groups. I know almost all of these, and I always thought of them as generic rules for creating good user interfaces - not merely good for often overlooked minorities, but rather important for the majority of your users.
Interesting, companies are usually eager to report when they've addressed a vulnerability timely. But with #Avast I notice accidentally that they apparently fixed an issue and deployed the fix within 17 days, no communication whatsoever...
Software developer and security researcher, browser extensions expert. He/him
Other Mastodon account for non-technical topics: https://social.tchncs.de/@WPalant
A Mastodon instance for info/cyber security-minded people.