This one's simple, without even referring to the article...
100% of those employed are available for work. Assuming a simple three-shift pattern to provide 24-hour coverage, then one third is notionally asleep while off-duty, one third is off-duty and awake, leaving one third on duty and actually available for work, so the figure applies to one third of the total number employed.
Alternatively, regard it as 10% of those available, which comes down to the same as they can only be called on to appear in court, do office work, or patrol the street at the times they are being paid, which again is during a shift, or one third of the day.
Like any other business, only those on the active shift are are productive and/or available for work. The total workforce is irrelevant, as can be seen if one projected 3, 4 or even 12 or 24 shifts in the working day. More shifts would increase the total number of employees accordingly, rendering any analyses meaningless, but would still only have the same number of staff working on any given shift, meaning a per/shift analysis is the only consistent data.
This of course leads us into the question of the most efficient number of shifts per day. Two, three, four even? Each increases the total number employed, yet only provides the same number of bodies within a shift (think of a factory with a set number of machines requiring operators - the shift pattern allows more operating hours per day, but once all machines have an operator, calling more in is pointless). This thought gets very complicated, especially in a service industry.
(Polls quoted by institutions such as the BBC are subject to independent audit, so unless they want to end up in court, they generally don't get caught out by things like invalid data selection - but the conclusions drawn by some of their reporters? Well, anyone can express an opinion - according to 99.999% of the population)
Statistics are neutral, and tell no lies, but watch the hands and sleeves of those presenting them.
|