I have heard the same stance often enough to definitely be able to say, “no one ever says that” is not correct. There are more than enough idiots who do say that.
Let S1 be the set of people who voted for Biden.
Let S2 be the set of people who voted for Trump’s second term.
S1 ∩ S2 ≠ {}
If that’s not helpful, let’s try code:
s1 = getPeopleWhoVotedForBiden()
s2 = getPeopleWhoVotedForTrumpsSecondTerm()
if (x for x in s1 if x in s2 > 0):
print("There are more than enough people qualifying for for what I said")
And lastly, to reformulate the sentence:
There are lots of people who in 2020 voted for Biden and in 2024 voted for Trump.
hah, you looked up an intersection symbol, nice. And now I just cant help myself since you gave me that response…
So of 152 million votes cast, you’d like to show a sample size of just 1 person or more proves your hypothesis? seems pretty biased against the null hypothesis.
And your restatement of your hypothesis:
“There are lots of people who in 2020 voted for Biden and in 2024 voted for Trump.”
You are proving “lots” with > 1? thats just not what “lots” means in english.
That guy is saying it: https://lemmy.world/post/31562244/17770374
(Or actually, they are saying Harris is worse.)
I have heard the same stance often enough to definitely be able to say, “no one ever says that” is not correct. There are more than enough idiots who do say that.
That guy is a republican.
Statistically, there are more than enough people who voted for Biden and then for Trump 2.
That sentence makes no sense.
Let’s put it into math instead:
If that’s not helpful, let’s try code:
s1 = getPeopleWhoVotedForBiden() s2 = getPeopleWhoVotedForTrumpsSecondTerm() if (x for x in s1 if x in s2 > 0): print("There are more than enough people qualifying for for what I said")And lastly, to reformulate the sentence:
There are lots of people who in 2020 voted for Biden and in 2024 voted for Trump.
hah, you looked up an intersection symbol, nice. And now I just cant help myself since you gave me that response…
So of 152 million votes cast, you’d like to show a sample size of just 1 person or more proves your hypothesis? seems pretty biased against the null hypothesis.
And your restatement of your hypothesis: “There are lots of people who in 2020 voted for Biden and in 2024 voted for Trump.”
You are proving “lots” with > 1? thats just not what “lots” means in english.
And I think we’re done here.
You are right, I had trouble defining “lots” or “enough” in math or code :)
:-) all in good fun. I couldnt help myself, sorry.