“Just 7% of Americans have ‘a great deal’ of trust and confidence in the media, and 27% have ‘a fair amount,” said Gallup in dishing up the depressing news for media outlets. “Meanwhile, 28% of U.S. adults say they do not have very much confidence and 38% have none at all in newspapers, TV and radio. Notably, this is the first time that the percentage of Americans with no trust at all in the media is higher than the percentage…
A reporter named David Axe writes the same, scary, fear-inducing “worst Covid variant yet” headline story nearly every month the past year. He’s been wrong every time. But his editors don’t seem to mind.
Climate activists are working to reframe “climate change” to “climate pollution”.
This Axios news report makes the classic reporter error – providing percentage increases without every providing a starting value. Does a scary +100% mean something increased from 1 to 2? We have no way of knowing.
Reporter completely screws the story. Never, ever leave a reporter or editor in a room, alone, with a number.
I had never investigated the Blue Check program until moments ago. It is used to further our neo-feudalism of elite versus the plebians, ensuring that we know our place. Only the truly elite are supposed to get Blue Check marks. Blue Checks are a mark of techno-nobility.
The media has run with this fake label “Doomsday Glacier” because it sounds scary, and the primary purpose of the media is to scare you to death which helps them get clicks and sell eyeballs to advertisers. The scientists do not like this label either.
91% of US news about Covid topics was negative – even when reporting on positive vaccine developments or low case counts in schools. The media learned that consumers demand negativity – I postulate this is because consumers who are suffering from hysteria and anxiety seek out news that confirms their anxiety, and that being anxious is okay.
Is “pretty privilege” real on social media? There are strong hints that it is a real issue. Some of it may come from how users select videos, which trains the “algorithm” in your likes, but others have said that the algorithms are intentionally designed to minimize views of videos with “non pretty” people.
Two appalling bad studies were widely shared by “experts” on social media. One was so bad, and its errors so obvious, that they only way they could have decided to share was to do so without having read even the abstract of the study.