Comment: Re:Vaseline glass. (Score 1) 277
... in fact all we know is what is too much radiation. Back in the 50's and 60's a group of scientist were asked to provide safety information on radiation and they came up with a scale using the points of zero and you aren't gonna see the end of the week. They then drew a linear line between these points because they had little to go on, and presented it as a best guess and further research was needed to prove it's truly linear, exponential, logarithmic, or what-have-you. Since then the linear graph has become kind of dogma and various groups have picked various points across it to set their safety thresholds.
Excluding issues for your future offspring, the hazard from low-level long-term radiation exposure is primarily increased cancer risk. IMHO that's normally an integer power law, with the integer dependent primarily on the type of cancer (and secondarily on whether you have an inherited tendency toward that cancer type.)
Excluding a few oddballs (such as when TWO lines of tissue foul up to produce each other's growth factors), cancers consist of a cell line where several mutations have changed the cell's behavior into continuous reproduction, non-suicide, and immortalization (keep resetting the telomere clock). That typically takes the form of hits to a specific small target in the genome (the gene itself, some particular part of it, or its regulator) for each change.
In mature tissues (where ongoing cell reproduction is nearly stopped) that means one cell "Hitting the jackpot" by getting ALL of the necessary hits, independently. The probability of getting them all is proportional to the product of the probabilities of each hit, and the probability of each hit goes up linearly with the radiation level, so the probability of getting the set of N goes up with the Nth power of the radiation level. (This ignores quibbles, such as ordering if some hits start slow growth, and not getting some other damage that kills the cell.)
You can estimate N by looking at a log-linear graph of cancer incidence versus age. Cancers that behave this way will have a straight line with integer slope, where the slope gives the number of mutations you need. (One type of lung cancer, for instance, behaves this way and has a slope of 6.)
If this model of radiation response is correct, the model extrapolated down linearly from high level exposure ENORMOUSLY overstates the danger of low level exposure.