I clicked on a few links and Googled a few names. It's roughly what I'd expect: People with few publications now working in other fields, people without scientific publications, but university degrees, people who regularly speak at events from radiation critics, people who are invested in other fringe theories. People get fooled by "large lists of peer-reviewed publications". Peer review is a lowest level quality mar…
I haven't read the article, and I'm not a party to the 5G debate, but what you're describing in your comment is a meta-analysis, which is a practice that has produced some of the most controversial findings in recent times. If anything is needed to clear up an inconclusive body of studies, it's better and more reliable studies and experiments, not meta-analyses.
With a potentially large # of studies on a specific subject, some of which may be contradicting, meta-analysis will be done.
Whether by accredited scientists, or institutions who do this on a professional basis with open and established criteria and consistency in approach (though there may still be flaws in the approach); and/or by individuals when confronted with large # of studies, when I feel bias would almost certainly be the primary driver.
While you absolutely cannot eliminate the latter, it feels it would be foolish to dismiss or eliminate the former.
As long as:
a) World is a bit tricky (phenomena difficult to define and isolate; limitations in equipment and measurements; limitations in humans)
b) We use statistical analysis as primary differentiator of significance There will continue to be contradicting studies.
Not disagreeing it's always better to improve studies and experiments, but it feels like meta-analysis of multiple studies is not just a necessary evil, but a good and desirable next step.
Thoughts?