How To Misuse Statistics
Attila Dimedici writes "This story does a great job of showing how statistics are misused by comparing the incidence of voting for Democrats to the incidence of cancer. While the story has a strong ideological bias, it does a good job of poking fun at the way politicians (and others) misuse statistics."
If you can't interpret the stats, they have no value. You need to apply them to reality with a bit of common sense.
Clearly, no one dies from voting for dems. unless they are assassinated or as an indirect consequence (party agenda leading to war etc.)...
If you lack a health insurance thus not receiving health care for a illness requiring expensive treatment and die, that is completely valid and true. Because that happens in a flawed system and is quite evident in the US.
Hmm, too intoxicated - point lost...
Ahh, but if a similar study was published against republicans it would be unbiased and informative about misuse of statistics. Here's an easy test for political bias. If a news agency lists a politician involved in a scandal and does not report (or buried in the story.) the political affiliation of the politician they are of party X. If the news agency blankets the story with party connections including ties to prominent political figures they are of party Y. Read/Watch for a while and you will quickly be able to fill in the X and the Y for most media outlets.
Lies, damn lies and bloody statistics.
0% of people surveyed were surprised in any way by TFA.
sudo mount --milk --sugar
I'm NOT trying to make it sound like I know what I'm talking about, because the following is entirely conjecture, with barely any thought behind it: I think everyone takes it for granted that urban areas are more likely to be blue than red (politically). Do various environmental factors also lead them to have higher cancer rates? I've not verified that, but I did just think it would be interesting to discover that the two maps aren't mere coincidence.
This is blatantly stupid; however, there's plenty of stuff that makes obvious and logical sense that's also wrong and is shown by incorrectly handled statistics to be correct. Like the Yoplait study about how yogurt makes you drop lard off your fat ass... a study on 10 people, unblinded, who probably were engaging in a healthier life style as well. No controls.
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