Someone, I think from Iraq, recently visited my now somewhat famous (but not as famous as the “pranque”) page on KENPAVE. WordPress reports their referrer is through the so-called handy-tab malware site.
I strongly suggest that you, if you are that user, visit this site: https://malwaretips.com/blogs/remove-handy-tab/ and follow the instructions to remove the offensive software on your browser. I have not used it myself, since I don’t have that malware, but at the same time, find the instructions given to be reasonable.
If you live in the United States, or are familiar with United States policy disputes, you are probably aware that the (US) FCC is collecting comments on their Internet regulatory policy known as “network neutrality”.
Unsurprizingly, people are accusing other people of astroturfing by making fake comments on the proposed changes. I checked to see if my name was so (mis)used and found that there was someone of the same name – and same views – living on the other side of the country!
For some reason, the (United States) Postal Service seems to lose, or have deliberately “lost” from, those white plastic wire reinforced plastic tubs, also called totes, alot. I’m talking about these things.
A Wikipedian post for today, I discovered, within a short amount of time, two very highly worthwhile pieces of media from the English Wikipedia. They are both on the subject of graphical display of information.
I remember in 7th grade algebra we very (Very) lightly touched on this, but didn’t go into it at all. This is a valuable description of crap graphs that can easily make things look both different from what they are, and authoritatively so. I remember reading a book by Tufte that had some of this in it, but here it is for free. I was unsurprized, and put out, to find out that graphs in finantial statements are not required to be, essentially, true. In other words, they won’t be, because they don’t have to be. Offencive.
The fact that these represent various attributes of individual people just makes it even harder to not imagine these are actual people’s faces. Now, I understand the idea behind Chernov faces: You can pack alot of data into a face. However, faces bring up biases. None of these look like a mother-in-law, but look @ S. S. Cohen. S/He sticks out completely because their face is round and the rest of them aren’t really. They also look bummed @ something. Maybe that their neighbor, R. J. Callahan, has an absolutely massive jowl? And why does J. J. Bracken have eyebrows that are actually growing out of their eyeballs?