In a meta-study, also known as meta-analysis, findings based on data from many different studies on the same topic are compared and meaningfully combined. Usually, this leads to a more realistic perspective as individual studies might have limited perspectives or even faults – these limitations get evened out in meta-studies.
By combining several perspectives, aggregating more data, and then drawing conclusions from common reference points, the overall picture becomes clearer. Single studies sometimes only have a small sample size of data points, such as the number of patients, users, or survey respondents. By combining the findings from several studies, larger sample sizes can be achieved if the samples are comparable. This has the potential to lead to better statistical evidence, which is dependent on the sample setup and testing size.
Concerning 5G, several meta-studies have been conducted focusing on the health-related aspects. These pay attention to the heating of tissue as well as other aspects such as the possibility of carcinogenic effects of non-ionising EMF radiation. However, these meta-analyses show strong evidence that non-ionising EMF radiation does not have carcinogenic effects – this overall picture differs from what the results of some individual studies suggest. The findings of these meta-studies line up with the experiences of electrical and nuclear engineers, as well as those of the scientists working in this field, who are regularly exposed to radiation in various forms.
European Parliament, 2020, Effects of 5G wireless communication on human health
International Commission on Non-Ionizing Radiation Protection, 2018, Guidelines for limiting exposure to time-varying electric, magnetic and electromagnetic fields (100 kHz to 300 GHz)
Simkó and Mats-Olof Mattsson, 2019 5G Wireless Communication and Health Effects—A Pragmatic Review Based on Available Studies Regarding 6 to 100 GHz