Not only are these devices of radically different operating powers, but they are equally at the mercy of the Inverse-square law. The Inverse-square law is a physical law which states that the quantity or intensity of linear-wave radiation is directly inverse to the distance the observing/affected body is from the source of the radiation. In the illustration above, you can see how the further the given area (A) is from the source of the radiation (S), the less exposure it receives. This law applies to radio, microwaves, visible light, and all manner of waves we experience around us in the natural world.
Recall bias, which can occur when data about prior habits and exposures are collected from study participants using questionnaires administered after diagnosis of a disease in some of the participants. It is possible that study participants who have brain tumors may remember their cell phone use differently from individuals without brain tumors. Many epidemiologic studies of cell phone use and brain cancer risk lack verifiable data about the total amount of cell phone use over time. In addition, people who develop a brain tumor may have a tendency to recall cell phone use mostly on the same side of the head where their tumor was found, regardless of whether they actually used their phone on that side of the head a lot or only a little.
Members of the public often ask about the cumulative exposure that a child receives when using a Wi-Fi device in a classroom in which a number of children are simultaneously using Wi-Fi. When downloading files, most of the transmissions will be from the access point, not the students’ device. When downloading and uploading only a portion of the maximum capacity of a network would be used even in a classroom filled with children using Wi-Fi. The Wi-Fi network divides RF transmissions among the access points and client devices therefore the individual RF exposure to a child in a classroom that is using a device consists of sequential exposures from all active devices, the majority of which are located at some distance away(15). For the majority of schools (20) the measurements in the current study were conducted in an empty classroom (to avoid lesson disruption) with an access point and one laptop. In three schools, measurements were conducted with students or teachers present and using Wi-Fi devices. A comparison between measurements conducted in empty classrooms and classrooms with multiple students/teachers using Wi-Fi showed no significant difference in the RF levels (p > 0.1 for all); although this may have been due to low numbers (only three schools measured with multiple users in the classroom).
METHODS: Standard class V cavities were prepared on the buccal surfaces of 20 non-carious extracted human premolars. The teeth were randomly divided into 2 groups (n = 10). The control group was stored in non-environment. The specimens in the experimental groups were exposed to a radiofrequency radiation emitted from standard Wi Fi devices at 2.4 GHz for 20 min. The distance between the Wi-Fi router and samples was 30 cm and the router was exchanging data with a laptop computer that was placed 20 m away from the router. The concentration of mercury in the artificial saliva in the groups was evaluated by using a cold-vapor atomic absorption Mercury Analyzer System. The independent t test was used to evaluate any significant differences in mercury release between the two groups.
We have essentially no control over whether we live or die -- except that we should avoid dangerous behaviors like smoking, becoming obese, not wearing seat belts, texting while driving, etc. Otherwise, over a trillion cells carry on countless biochemical processes that we have no control over. One out of four people will get cancer. Beyond avoiding foolish behavior, we can't influence that risk.
The present study determined the effects of prenatal and postnatal exposure to 2.45 GHz Wi-Fi-induced electromagnetic radiation (2h/day for 21 days during pregnancy and 21 days during lactation) on tooth and surrounding tissue development as well as the element levels in growing rats. Histological and immunohistochemical examinations between the experimental and control groups showed that exposure to 2.45 GHz EMR for 2 h per day does not interfere with the development of teeth and surrounding tissues. However, there were alterations in the elemental composition of the teeth, especially affecting such oxidative stress-related elements as copper, zinc, and iron, suggesting that short-term exposure to Wi-Fi-induced EMR may cause an imbalance in the oxidative stress condition in the teeth of growing rats.
No scientist can say with certainty how many wireless-technology users are likely to contract cancer, but that is precisely the point: We simply don’t know. Nevertheless, we are proceeding as if we do know the risk, and that the risk is vanishingly small. Meanwhile, more and more people around the world, including countless children and adolescents, are getting addicted to cell phones every day, and the shift to radiation-heavy 5G technology is regarded as a fait accompli. Which is just how Big Wireless likes it.55
Moving the meter around the case, we detect readings on the side, back and front of the case. We use the multi-directional TES 593 meter which measures 10 MHz to 8GHz. We use the unit of micro-watts per square centimeter, which looks like this little symbol: μW/cm² and we use it on the max setting which shows the maximum measured value. In non-science speak: the highest level of RF we see, which could be from the back the side or the front.
We did not simply measure energy coming from the front of the case which is the area of the case where the phone would be "shielded" from radiation. If we had taken readings with a directional meter, specifically measuring energy coming from only the front or flap cover where the shielding material is, we assume as the manufacturers claim, that we would have seen a drop in the radiation readings.
In this study, the effect of Wi-Fi radiation exposure as a threat to brain health was studied using genomic analysis and histopathological study which showed the high risk of its genotoxicity especially in prolonged exposure spectrum through the findings from this study. The genomic analysis confirmed DNA damage due to Wi-Fi radiation toxicity and DNA damage effect which was seen through the RAPD profiles of animals from the exposed groups. The histopathological analyses also confirmed significant deleterious alterations in the brain tissues of Wi-Fi-exposed animals. Hence, the need to exhibit caution in handling smart devices that are used from day to day is fast becoming a threat to human health and wellness.
This Nation investigation reveals that the wireless industry not only made the same moral choices that the tobacco and fossil-fuel industries did; it also borrowed from the same public-relations playbook those industries pioneered. The playbook’s key insight is that an industry doesn’t have to win the scientific argument about safety; it only has to keep the argument going. That amounts to a win for the industry, because the apparent lack of certainty helps to reassure customers, even as it fends off government regulations and lawsuits that might pinch profits.20
Why, after such acrimony, Carlo was allowed to make one last appearance before the CTIA board is a mystery. Whatever the reason, Carlo flew to New Orleans in February 2000 for the wireless industry’s annual conference, where he submitted the WTR’s final report to the CTIA board. According to Carlo, Wheeler made sure that none of the hundreds of journalists covering the event could get anywhere near him.12
…Because we’ve known for a long time that the heat generated by laptops kills sperm. Well, now it turns out that heat isn’t the only threat to a man’s virility. Research has found exposure to Wi-Fi frequencies reduce sperm movement and cause DNA fragmentation.  Both human and animal testing has confirmed that exposure negatively affects sperm.  
After years of warnings, we are fairly used to ensuring we have anti-spyware, anti-malware, and anti-virus programs on our computers. This software should also be used on our smartphones as well. Search for programs in the app stores and discuss them with your wireless provider. Some phones come with built-in software that you won’t want to override.
The energy of electromagnetic radiation is determined by its frequency; ionizing radiation is high frequency, and therefore high energy, whereas non-ionizing radiation is low frequency, and therefore low energy. The NCI fact sheet Electromagnetic Fields and Cancer lists sources of radiofrequency radiation. More information about ionizing radiation can be found on the Radiation page.
4. Erase your data with a swipe. “Apps like Find My iPhone and Lost will…allow you to remotely wipe the phone, erasing your personal data and restoring it to its original settings should it become stolen. This will help keep your passwords, logins, and online accounts safe.” – Amanda Perez, Cell Phone Safety Tips For Stolen Devices, ABC30; Twitter: @ABC30