Even though Biden is not very popular a lot of people will be thinking twice about voting in a man convicted of thirty-four felonies to the white house.
This might make Biden the guy who breaks that record and that’s what the comic is about.
No, its not. Again, a misunderstanding of what was said.
The point isn’t that it hasn’t been attempted. It has, repeatedly. The XKCD is all examples of things that haven’t happened.
The example provided is something specific that has been attempted, repeatedly, where we know the answer (not the felonious aspect, but the low approval. Don being a felon was never a point of discussion).
Its both a misunderstanding of the XKCD and the statement.
Plenty of incumbents with low approval have run. They don’t win their elections. We’ve got lots of data on this.
Consider why the comic cites categorical reasons, not continuous ones.
Specifically, I can put a mean and a standard error down on polling, approval, and using a factor like incumbency calculate a probability of re-election based on a given approval or polling metric.
Polling and approval data, is something at least hypothetically ‘exists’ for all candidates, ever, even if it went unmeasured.
And it does exist for these candidates. Don’s felony would fall within the bounds the premise of this comic, but not polling or approval. The relationship between polling, approval, and incumbancy doesn’t because we do actually have those information on those things. We can look at all presidents prior to now that we have data for, we can divide them into ‘re-elected’ and not ‘re-elected’, calculate a mean and standard error of their polling, and their approval, anything we can measure, and look at the probability of occurrence for the thing given their polling. We couldn’t actually do that with any of the factors in the XKCD because we’d be dividing by zero. We literally couldn’t create the statistic to get a probability distribution from because there are no examples of President running has parameter “thing B”, which is the actual point of the comic. “thing B” gets more and more ridiculous as the comic goes along.
Why the current example isn’t that case is that we do have examples of incumbents with low approval trying to be elected. The “thing B” about the incumbent exists and has been tested, so we can calculate the probability distribution.
against a convicted felon. And we have the data on it. You don’t win the presidency with a felony conviction.
…
I mean the felon part actually would be in bounds of the logic of the comic. We can’t observe the probability of a felon getting elected because it hasn’t occurred before, and therefore we can’t calculate a statistic.
Its a divide by 0. We can absolutely put down a probability of Bidens likelihood to win based on current polling or approval, because we have an N to divide by.
We don’t have an N to divide by in the felony issue (or any of the issues cited in the comic), and so can’t calculate a probability.
“X has never happened (until it happened)” is literally the point of the comic.
It’s not a divide by zero problem because we’re looking at all the presidents for a given criteria. N is the number of presidents elected.
Every one of those blurbs, and the two additional ones suggested here, are a situation where N equals the number of prior presidential elections. And all of them are 0%, because the listed criteria were always 0/N.
It seems like you’re purposely ignoring the point of the comic (highlighting the fallacy pertaining to things that never happened before) so that you can continue to believe that the probability of something that never happened before is greater than the probability of something that never happened before.
Sigh Relevant XKCD
You are misinterpretting the XKCD.
Its not as if incumbents with approvals this low haven’t competed. They have.
We have the data on it. You don’t win the presidency with an approval this low.
They aren’t misinterpretting the XKCD.
Even though Biden is not very popular a lot of people will be thinking twice about voting in a man convicted of thirty-four felonies to the white house.
This might make Biden the guy who breaks that record and that’s what the comic is about.
My (parent) comment didn’t mention Te-felon Don.
So I’m sticking with them not understanding the XKCD or the parent.
But the whole idea is so-and-so can’t win if so-and-so.
Until they do.
No, its not. Again, a misunderstanding of what was said.
The point isn’t that it hasn’t been attempted. It has, repeatedly. The XKCD is all examples of things that haven’t happened.
The example provided is something specific that has been attempted, repeatedly, where we know the answer (not the felonious aspect, but the low approval. Don being a felon was never a point of discussion).
Its both a misunderstanding of the XKCD and the statement.
Plenty of incumbents with low approval have run. They don’t win their elections. We’ve got lots of data on this.
Until they do and that’s the point of the comic.
Sure, but its still a misinterpretation.
Consider why the comic cites categorical reasons, not continuous ones.
Specifically, I can put a mean and a standard error down on polling, approval, and using a factor like incumbency calculate a probability of re-election based on a given approval or polling metric.
Polling and approval data, is something at least hypothetically ‘exists’ for all candidates, ever, even if it went unmeasured.
And it does exist for these candidates. Don’s felony would fall within the bounds the premise of this comic, but not polling or approval. The relationship between polling, approval, and incumbancy doesn’t because we do actually have those information on those things. We can look at all presidents prior to now that we have data for, we can divide them into ‘re-elected’ and not ‘re-elected’, calculate a mean and standard error of their polling, and their approval, anything we can measure, and look at the probability of occurrence for the thing given their polling. We couldn’t actually do that with any of the factors in the XKCD because we’d be dividing by zero. We literally couldn’t create the statistic to get a probability distribution from because there are no examples of President running has parameter “thing B”, which is the actual point of the comic. “thing B” gets more and more ridiculous as the comic goes along.
Why the current example isn’t that case is that we do have examples of incumbents with low approval trying to be elected. The “thing B” about the incumbent exists and has been tested, so we can calculate the probability distribution.
A lot of the comic’s statistics were height differences and that’s where you argument falls apart.
And he’s up against a convicted felon. And we have the data on it. You don’t win the presidency with a felony conviction.
…
I mean the felon part actually would be in bounds of the logic of the comic. We can’t observe the probability of a felon getting elected because it hasn’t occurred before, and therefore we can’t calculate a statistic.
Are the “probabilities” of both, based on historical data, not currently 0%?
Its a divide by 0. We can absolutely put down a probability of Bidens likelihood to win based on current polling or approval, because we have an N to divide by.
We don’t have an N to divide by in the felony issue (or any of the issues cited in the comic), and so can’t calculate a probability.
“X has never happened (until it happened)” is literally the point of the comic.
It’s not a divide by zero problem because we’re looking at all the presidents for a given criteria. N is the number of presidents elected.
Every one of those blurbs, and the two additional ones suggested here, are a situation where N equals the number of prior presidential elections. And all of them are 0%, because the listed criteria were always 0/N.
Thats just not how probabilities work.
It seems like you’re purposely ignoring the point of the comic (highlighting the fallacy pertaining to things that never happened before) so that you can continue to believe that the probability of something that never happened before is greater than the probability of something that never happened before.