Well, they've been doing that for god knows how long, but not in the way you think. You see, most weed groweries bypass the meter so they don't have to pay gargantuan energy bills. So, instead the power company looks at the discrepancy between billing and consumption at the block level. If a large enough discrepancy is noted, i.e. something big, they inform the DEA.
Note: I assume they do it like this in the USA, as this is how many countries (including my own) do it.
Well, in most social democracies smoking is good for the budget. People always whine about increased health care costs, but where do you think those smoker's pensions go when they kick the bucket 10 years earlier?
Being a PhD student who mostly works with statistics (even though I have little formal training in it), I can attest to the truth of this. Sometimes you get results that do not vibe with what you are seeing, or that are doubtfull in some other way. Of course, we can blindly listen to the stats, or we can find out why the results are as they are. I try to do the latter, but the 'SPSS effect' tends to promote the former.
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Well, they've been doing that for god knows how long, but not in the way you think. You see, most weed groweries bypass the meter so they don't have to pay gargantuan energy bills. So, instead the power company looks at the discrepancy between billing and consumption at the block level. If a large enough discrepancy is noted, i.e. something big, they inform the DEA. Note: I assume they do it like this in the USA, as this is how many countries (including my own) do it.
Well, in most social democracies smoking is good for the budget. People always whine about increased health care costs, but where do you think those smoker's pensions go when they kick the bucket 10 years earlier?
Being a PhD student who mostly works with statistics (even though I have little formal training in it), I can attest to the truth of this. Sometimes you get results that do not vibe with what you are seeing, or that are doubtfull in some other way. Of course, we can blindly listen to the stats, or we can find out why the results are as they are. I try to do the latter, but the 'SPSS effect' tends to promote the former.