The truth at any cost lowers all other costs — curated by former US spy Robert David Steele.
The Covidization of Good Enough
I have written numerous times about the zippy young PhD with an attitude. After my talk about declining “findability”, Zippy (not his real name) spoke with me after my talk. He had one point and repeated it to me several times: “Search is good enough.”
Continue reading “Stephen E. Arnold: Is “Good Enough” Any Way to Run Anything?”
BitChute Safety Copy Below the Fold
Continue reading “Mongoose: At What Point Do We Hang the COVID-19 People?”
Facebook Seeks To Spy On You Via Hidden Inaudible TV Ad Messages
“… Facebook has filed a patent for a system that hides audio clips in TV commercials. These sounds would be so high-pitched that they are inaudible to human beings. They would then trigger your phone to record all the background noises in your home. The patent application is called “broadcast content view analysis based on ambient audio recording.”….”
Alert Reader sent in orginal story. 5G expert Mark Steele (no relation to Robert Steele) comments.
It will be easily confirmed if they do post mortem and find coagulated bloods, fibrosis of the lung, pneumonia type symptoms including edema of the cardiovascular system.
Have the Elephants had any vaccinations? This will increase risk and they could have had a pathogen triggered by a set of frequencies. There is always an increased risk as happens with the 900MHz frequency that increases the Growth rate of Klebesiella Pneumoniae . Increasing radiation footprint from 5G is the likely cause, lets see if they do any lab testing. Elephants in possibly clean radiation environment exposed to long range Sub GHz 5G are going to suffer significant problems.
Original alarm with many links below the fold.
Oh, Oh, Somebody Has Blown the Whistle on the Machine Learning Fouls
Wonder why smart software is often and quite spectacularly stupid? You can get a partial answer in “On Moving from Statistics to Machine Learning, the Final Stage of Grief.” There’s some mathiness in the write up. However, the author who tries to stand up to heteroskedastic errors, offers some useful explanations and good descriptions of the short cuts some of the zippy machine learning systems take.
