Tangential trivia: if move your head inside a very strong radio field (far beyond anything put out by a cellphone -- and far beyond anything generally considered safe) it can induce currents directly in the optic nerve/retina, which I've read described as flashing dots of light.
There are more powerful band classes, but for fixed wireless access. So for phone use on a modern network, you should now be most of the time at 200 mW max transmit power (same as WiFi BTW).
So, brain cancer is on the rise? (Or better diagnosed?)
It's a 60% of increase of that 1%. So still a low overall risk, while being statistically significant.
Electric fields can rotate charged molecules, e.g. switching proteins between states which can alter signaling cascades, open ion channels, etc. This provides a pretty well understood mechanism for negative effects.
He references a study: "Incidence and Mortality of Malignant Brain Tumors after 20 Years of Mobile Use" which also states:
>> While this study suggests a weak association between mobile phone users and MNB incidence and mortality, it is important to acknowledge that conclusive results cannot be drawn at this stage.
"In a meta-analysis of 46 case-control studies, compared with never or rarely having used a cellular phone, regular use was not associated with tumor risk in the random-effects meta-analysis. However, in the subgroup meta-analysis by research group, there was a statistically significant positive association (harmful effect) in the Hardell et al. studies (OR, 1.15—95% CI, 1.00 to 1.33— n = 10), a statistically significant negative association (beneficial effect) in the INTERPHONE-related studies (case-control studies from 13 countries coordinated by the International Agency for Research on Cancer (IARC); (OR, 0.81—95% CI, 0.75 to 0.89—n = 9), and no statistically significant association in other research groups’ studies. Further, cellular phone use with cumulative call time more than 1000 h statistically significantly increased the risk of tumors."
I'm far from an expert in the statistical interpretation of such statements, but to me, these results look all over the place. Furthermore, it seems that ALL the studies in the meta-analysis that found harmful effects originated from teams led by the same researcher (https://en.wikipedia.org/wiki/Lennart_Hardell), which, to be sure, is an interesting insight, but not one that should necessarily strengthen the belief in the hypothesis.
A meta-analysis draws data from other studies. It does not (and should never) support conclusive evidence.
There was another "claim" regarding PPI and dementia possible link [1] which was a meta-study as well. At least their sample (N > 5000) was large enough to cause interest, but as I like to mention, correlation does not infer causation.
[1] https://n.neurology.org/content/early/2023/08/09/WNL.0000000...
Pall has written numerous "research" papers about how smart electric meters, cell phones (especially 5g), and Wifi will lead to the imminent extinction of the human race[0].
His 2018 paper[1] found that "oxidative stress, sperm/testicular damage, neuropsychiatric effects including changes in the encephalogram (EEG), apoptosis, cellular DNA damage, endocrine changes, and calcium overload are established effects of WiFi exposure". Which sounds pretty bad!
However, as a meta study noted[2] in referencing that 2018 paper, "this review was heavily criticized for selective reporting, for ignoring the quality of the studies, for ignoring the level of exposure, for including studies that did not apply WiFi signals, and for inadequate description of the study results"
That's typical; every time Pall publishes, the journal is flooded with rebuttals from misquoted sources and readers who note things like (regarding Pall's claims that 5G causes mass sterilization): "In the case of the effects on sperm and infertility, effects should exclusively be included in humans (or human cells), but of the 8 articles cited in this section, only 1 was in humans (Yildirim et al., 2015) based on anonymous questionnaires. It is not an adequate study to conclude any possible effect of exposure to Wi-Fi in humans since no other variables were controlled (food, air pollution, antecedents, previous pathologies ...). Even, the sample was obtained from an infertility clinic and there was no control group and the authors claim that no differences were found."[3]
Pall's game is a long con -- he's been at it so long that he can cite his own body of work as "massive literature, providing a high level of scientific certainty, for each of eight pathophysiological effects caused by non-thermal microwave frequency EMF exposures"[4]
Not coincidentally, Pall runs the non-profit 5G Free Oregon[5], where you are invited to contribute funds to combat the scourge of EMF that is always just on the verge of causing total societal collapse.
0. https://www.theguardian.com/technology/2019/jul/26/how-basel...
1. https://www.sciencedirect.com/science/article/pii/S001393511...
2. https://www.tandfonline.com/doi/epdf/10.1080/10643389.2021.1...
3. https://www.sciencedirect.com/science/article/pii/S001393511...
4. https://www.icnirp.org/cms/upload/consultation_upload/Respon...
first of all, few scientists in this country can speak knowledgeably about the health effects of wireless technology.
I think this dramatically underestimates the number of scientists and engineers who work with RF at dangerous frequencies.
> Our main takeaway from the current review is that approximately 1,000 hours of lifetime cellphone use, or about 17 minutes per day over a 10-year period, is associated with a statistically significant 60% increase in brain cancer.
Is pretty misleading. He's talking about odds ratio here, not relative risk, because these were case-control studies. And because they seem to have been conducted specifically looking for people with cancer, they do not conform to the rare disease assumption (in this case, the paper says cancer = 24,717, control = 41,358, nowhere close to the typical 10% cutoff at which odds ratio is considered to reasonably estimate relative risk.
Also they found no statistically significant relationship in any direction until they did subgroup analysis. That starts getting awfully close to p-hacking. "All studies overall don't find an effect, but if we limit to the studies that find an effect, we find an effect."
Finally, this seems like an awfully hard thing to study using case controls. I'm not going to try and find these studies being meta-analyzed, but it would seem they're largely finding people with brain cancer and people without brain cancer, and surveying them on how long they've used cell phones and how much. Unless they're actually going back and consulting 10 years worth of their own phone records before answering, which I am sure they are not doing, how accurate is the recall seriously going to be? And there is no attempt to quantify the characteristics of usage relevant to the mechanistic reasons to believe a risk might present, that is, how strong was the signal, how far away from their ear do they keep the phone, are they typically going hands free, do they keep the phone or on near them when not in use? These are impossible to study using this kind of study design.
I'm not some kind of shill for big telecom. I barely even use a mobile phone. I talk to my dad maybe once a week and that's my only regular call. My diet and workout tracking apps are the only apps I use aside from banking. I almost never bother to bring it with me when going shopping and don't sleep with it within arm's reach. So I'm following the recommendations here anyway, not because I'm afraid of cancer but because I don't see a need for having a phone nearby on any regular basis.
At the same time, through no fault of their own, these researchers are studying something that is virtually impossible to prove anything about, and even what they might have found if you squint really hard at a specific subset of a non-random, non-representative scene, still wasn't a lot. I don't see how this warrants a press campaign aside from Joel Moskowitz apparently being politically active in getting California municipal governments to warn consumers about anything and everything.