2023-01-23 Meet Eileen O’Connor at C4ST’s meeting on Jan. 24

1) This is the latest newsletter from C4ST, inviting everyone to meeting on Tuesday to ‘meet’ Eileen O’Connor. Her bio is at the link below. She has been a real force in the EMF movement in the UK and the EU for the last 20 years. The instructions for attending are at the bottom of the newsletter.

~ 1. Upcoming C4ST meetings
Tuesday, January 24th. 7:30 pm ET, 4:30 PT
Open to the public C4ST meeting.

Eileen O’Connor of the EM Radiation Research Trust UK https://www.radiationresearch.org/wp-content/uploads/2017/02/Eileen-OConnor-Campaign-action-2002-2022-1-3.pdf


2) As more problems are experienced, it becomes more and more obvious that “smart” technology is not all that it is purported to be. What about having a simple switch?

(click on photos to enlarge)

School’s “Smart” Lights Can’t Be Turned Off; “We are very much aware this is costing taxpayers a significant amount of money”

“The school’s entire “green lighting system,” some 7,000 lights, was installed over a decade ago and was supposed to save money, but according to the report, the software that runs it failed on Aug. 24, 2021” and no one has been able to turn off the lights for the following 17 months. Teachers are adjusting by unscrewing light bulbs at the end of the day and throwing some breakers not connected to vital parts of the school. Dimming the lights to show movies or something projected on a whiteboard has also been difficult: The lights are on full brightness all the time.”


3) Inexpensive Wi-Fi transmitters can be used to detect and identify people through walls. With most buildings/homes having Wi-Fi in their homes, this makes this detection even easier. The report states this technology can be used to detect “suspicious” behaviour in homes. Is this not intruding? Doesn’t sound as if privacy is being preserved.

3D human sensing with Wi-Fi

“Researchers at Carnegie Mellon University say they have achieved a new level of using Wi-Fi signals to identify people in a building through the use of a deep neural network. Their approach, say the researchers, allows for creating images on par with RGB cameras, paving the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.”


The entire report is available.

DensePose From WiFi

“In fact, most households in developed countries already have WiFi at home, and this technology may be scaled to monitor the well-being of elder people or just identify suspicious behaviors at home….

In future work, we also plan to collect multi-layout data and extend our work to predict 3D human body shapes from WiFi signals. We believe that the advanced capability of dense perception could empower the WiFi device as a privacy-friendly, illumination-invariant, and cheap human sensor compared to RGB cameras and Lidars.”



Sharon Noble, Director, Coalition to Stop Smart Meters/Citizens for Safer Tech

“Beware of false knowledge; it is more dangerous than ignorance.” George Bernard Shaw

Sent from my wired laptop with no wireless components. Practice Safe Tech.


Smart Meters, Cell Towers, Smart Phones, 5G and all things that radiate RF Radiation