• untorquer@lemmy.world
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    7 days ago

    Averages. They’re almost always a bullshit flag if it’s tied to anything remotely political. If you’re not going to also give the standard deviation and skew then at least use median.

  • Freshparsnip@lemm.ee
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    7 days ago

    I once saw a reddit post where some busybody counted how many people with dogs walked by in an hour and multiplied that by 24 and assumed that was how many walked by in a day (as if it would be the same amount at all times of day)

  • Mohamed@lemmy.ca
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    7 days ago

    Not making sure the result even makes sense. There was a real example, where a ~2010 news article said that the number of crimes in their city has been doubling every year since ~1980.

    That is not possible. Assume that there was one crime in 1980. In 2010, there must be at least 2^20 crimes.

  • Puzzlehead@reddthat.com
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    7 days ago

    White people are shot more by cops proving there is no police brutality against people of color.

    (No, this isn’t my actual opinion. This is an arguement racists use and white suprimists)

  • 60d@lemmy.ca
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    7 days ago

    More men are arrested for crime than women, proving that cops are sexist.

  • Nibodhika@lemmy.world
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    7 days ago

    Mixing up correlation with causation. A while back I was having a discussion here on Lemmy because people were saying pitbulls are dangerous and pointing to the disproportionate amount of deaths caused by pitbulls vs the percentage of dogs that are pitbulls. The argument goes something like this “Pitbulls are responsible for 55% of killings, but they’re only 12% of all dogs, therefore Pitbulls are dangerous”.

    Oh, and BTW if you agreed with that argument above, congratulations, you’re officially a racist, because those are the numbers of murder convictions and demographics for Black people in the USA. The argument is the same, and the reason why it’s flawed is the same: correlation does not imply causation. Just because there’s something seems disproportionate out of context doesn’t mean it has the most obvious cause, in both cases the reasons are much more complex and mostly have to do with education and opportunity (or lack thereof).

    • Taiatari@lemmynsfw.com
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      7 days ago

      Or misrepresenting data.

      For example, if your country has a 10% crime rate. Meaning 10% of the population will commit a crime at some point. Due to worker immigration the country gains 20% more people. The it is expected that of those workers about 10% will commit a crime. Thus increasing the total amount of crimes committed in the country but the crime rate is still at 10%.

      Now misrepresenting would be to cry out that the workers are bad because the amount of crime has gone up.

  • GingaNinga@lemmy.world
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    7 days ago

    correlation and causation. even useless stats comparing apples and oranges, the numbers generated are only as good as the study design and methods.