Again, you are willfully misunderstanding what the statistic is stating:
Here are the total number of PEOPLE killed by dogs.
Of that number, here’s how many PEOPLE were killed by each breed.
This isn’t tracking bites, or overall attacks, it’s tracking human deaths.
A similar stat would be tracking vehicular accident deaths, if in a year you have accidents involving “brand x” accounting for more vehicular fatalities than all other brands combined, that points to a massive, massive problem with the brand.
It doesn’t matter how many cars there are, that’s not what the stat is tracking.
But if you really want to know, Google says there are around 90 million dogs in the US and 4.5 to 18 million pit bulls depending on how you count. So 5% to 20% of the dog population accounting for 66% of the human deaths.
Then replace every time I said “bite” with “someone died”. That doesn’t change anything about my argument or the validity of it.
In your car example, that is exactly wrong, let’s say that 99 out of 100 cars are Toyota Corollas, and as a whole, they get in 50 fatal accidents every year, but the remaining 1 car is a Ford F150 which got in 1 fatal accident every year. Does this mean that corollas are more dangerous? No! It just means that there are more corollas and therefore more opportunities to kill.
The correct way to represent this is as a percentage of each car brand. 50 accidents divided by 99 corollas is a little less than 50%. 1 accidents divided by 1 F150 is about 100%. According to this, F150’s are actually more dangerous because 100% of them get in fatal accidents, whereas only 50% of corollas get in fatal accidents.
Good on you for looking into the actual data, but the problem is that this specific graphic isn’t showing the actual data. The only reason it looks correct is by coincidence.
Again, you are willfully misunderstanding what the statistic is stating:
Here are the total number of PEOPLE killed by dogs.
Of that number, here’s how many PEOPLE were killed by each breed.
This isn’t tracking bites, or overall attacks, it’s tracking human deaths.
A similar stat would be tracking vehicular accident deaths, if in a year you have accidents involving “brand x” accounting for more vehicular fatalities than all other brands combined, that points to a massive, massive problem with the brand.
It doesn’t matter how many cars there are, that’s not what the stat is tracking.
But if you really want to know, Google says there are around 90 million dogs in the US and 4.5 to 18 million pit bulls depending on how you count. So 5% to 20% of the dog population accounting for 66% of the human deaths.
Then replace every time I said “bite” with “someone died”. That doesn’t change anything about my argument or the validity of it.
In your car example, that is exactly wrong, let’s say that 99 out of 100 cars are Toyota Corollas, and as a whole, they get in 50 fatal accidents every year, but the remaining 1 car is a Ford F150 which got in 1 fatal accident every year. Does this mean that corollas are more dangerous? No! It just means that there are more corollas and therefore more opportunities to kill.
The correct way to represent this is as a percentage of each car brand. 50 accidents divided by 99 corollas is a little less than 50%. 1 accidents divided by 1 F150 is about 100%. According to this, F150’s are actually more dangerous because 100% of them get in fatal accidents, whereas only 50% of corollas get in fatal accidents.
Good on you for looking into the actual data, but the problem is that this specific graphic isn’t showing the actual data. The only reason it looks correct is by coincidence.