Thanks for your thoughts,
@BruceInOz.
2. If I've understood correctly (and that's not a given considering my current state
) your "control group" sounds more like a means of correcting for population density. Calling it a control group is misleading.
It's kind of both really. What I am doing now is really very simple: out of the 70 random addresses in my control group, in terms of the distance that each address is situated from its nearest base station, these addresses divide up as follows:
Number of control group addresses at 500m or further from nearest base station = 26
Number of control group addresses 300m to <500m from nearest base station = 20
Number of control group addresses 150m to <300m from nearest base station = 13
Number of control group addresses 0m to <150m from nearest base station = 11
If you don't like the term "control group", you could call it a "random address sample" if you prefer.
So from the control group (random address sample) now we can calculate
expected ratio of how many addresses you'd find in the <300m circle, and how many addresses you'd find in the 300m to <500m annulus zone around a typical average base station:
Ratio = (Number of 0m to <300m addresses) / (Number of 300m to <500m addresses) = (11 + 13) / 20 = 1.2
So 1.2 is our standard expected ratio, based on the control group addresses. Thus if base station radiation poses no risk for triggering ME/CFS, we would expect the incidence of ME/CFS determined by this poll to fall into roughly the same ratio. However, if the ratio calculated from the poll results turns out to be higher, this indicates base station radiation is a risk for ME/CFS.
The
risk equation to calculate (based on the poll results) the increased risk of triggering ME/CFS for those living within 300 meters of a base station, compared to the risk for those living in the 300 meter to <500 meter zone, is the following equation:
Increased risk = (ME incidence in 0m to <300m zone) / (1.2 X (ME incidence in 300m to <500m zone))
At this moment, with the latest updated results of this poll, the figures stand at:
Current poll results:
ME incidence in the 300m to <500m zone = 3
ME incidence in the 150m to <300m zone = 4
ME incidence in the 0m to <150m zone = 4
So using the above equation, the increased risk is currently calculated at:
Increased risk = (4 + 4) / (1.2 X 3) = 2.22
1. If you compared the 300-500 anulus with the 150-300 anulus rather than the 0-300 disk you should eliminate the problems mentioned related to the power not being simply proportional to radius squared when very close to the transmitter
Good idea, and no sooner suggested than done:
So first we have to set up a new risk equation, to calculate the increased risk of triggering ME/CFS for those living in the 150m to <300m zone of a base station, compared to the risk for those living in the 300m to <500m zone. We do this in the same way as above, which gives the risk equation of:
Increased risk = (ME incidence in 150m to <300m zone) / (0.65 X (ME incidence in 300m to <500m zone))
So if we enter our current poll results into this equation, it gives:
Increased risk = (4) / (0.65 X 3) = 2.05
So this figure of 2.05 is similar to the figure of 2.22 we calculated above.
3. Having only collected 4 votes or so in each of the two annuli means you really can't say anything and putting any number to it is meaningless.
I am hoping more votes will come in. Sometimes polls on this forum can get over 100 responses.