I& #39;ve been trying to think of an eye-catching statistic that completely fails to factor in context or variables, to demonstrate how important it is to consider the bigger picture when looking at data, because otherwise bad conclusions can be drawn
I& #39;ve thought of one
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I& #39;ve thought of one
The UK population is about 66.5 million
The number of people who work in the NHS is about 1.5 million
Therefore the number of people who don& #39;t is about 65 million
The number of people who have died with COVID-19 is currently 10,612
37 of those people worked in the NHS
The number of people who work in the NHS is about 1.5 million
Therefore the number of people who don& #39;t is about 65 million
The number of people who have died with COVID-19 is currently 10,612
37 of those people worked in the NHS
Therefore 10,575 people who do not work in the NHS have died.
10,575 of the 65 million who do not work for the NHS = 0.02%
37 of the 1.5 million who do work in the NHS = 0.002%
So what& #39;s the bogus conclusion we can draw here?
10,575 of the 65 million who do not work for the NHS = 0.02%
37 of the 1.5 million who do work in the NHS = 0.002%
So what& #39;s the bogus conclusion we can draw here?
SHOCK AS STATISTICS SHOW YOU ARE TEN TIMES MORE LIKELY TO DIE OF COVID-19 IF YOU DON& #39;T WORK FOR THE NHS THAN IF YOU DO!!
That& #39;s right. If you fail to consider any variables or wider context, it looks to be that not working for the NHS is 10x more dangerous than working for the NHS
Of course, this is complete nonsense. Fact is the demographics most likely to die are unlikely to work for the NHS.
Of course, this is complete nonsense. Fact is the demographics most likely to die are unlikely to work for the NHS.