- #246
lugita15
- 1,554
- 15
Yes, it is.billschnieder said:Your argument is that no-conspirary allows you to conclude that the inequality P(C|w) <= P(A|w) + P(B|w) which is valid for scenario (c) must be valid for scenario (b), ie P(C|z) <= P(A|x) + P(B|y) because according to you the no-conspiracy implies that P(C|z) = P(C|w) and P(A|x)=P(A|w) and P(B|w)= P(B|y). This is your argument.
It is true that the equation in (c) implies the inequality in (c). But the inequality is its own statement, even if it's implied by another statement. Let me write things more explicitly so we can key in on our disagreement:My argument is is the following:
The inequality P(C|w) <= P(A|w) + P(B|w) is obtained from P(C|w) = P(A|w) + P(B|w) - 2P(AB|w). So if you are claiming that the inequality should apply to scenario (b) it means the equality should also apply. You can not take the inequality and reject the equality, the inequality is just a different view into the what is already there in the equality.
1. (P(A|w)+P(B|w)-P(C|w))/2=P(A & B|w)
2. P(A & B|w)≥0
3. (P(A|w)+P(B|w)-P(C|w))/2≥0
4. (P(A|x)+P(B|y)-P(C|z))/2≥0
Now I'm open in my "hiding" of a term. What I'm saying is that 1 and 2 imply 3, and even though 1 and 2 have no analogue for (b), it is nevertheless true that 3 implies 4.
No, I'm not assuming that P(A & B) is defined in any of the three probability spaces in (b). The equation implies the inequality, but the inequality need not imply the equation.However, you conveniently hide the 4th term by removing it and changing the equality sign to an inequality. By doing that, you are assuming that the meaningless undefined probability which does not exist has a value. Yet you do not see the problem.
But there's a fundamental reason for that: counterfactual definiteness is a crucial assumption for Bell's theorem. If you were the kind of person who rejected counterfactual reasoning, in other words rejected reasoning in (c) as invalid, then this argument can't persuade you. If you restrict yourself to reasoning in (b), i.e. if you don't believe in counterfactual definiteness, then you can only carry out the argument for EPR, not Bell.This is why I asked you earlier to derive the inequality directly from scenario (b) using any assumptions you like without going through (c). But you didn't and can't.
What is the logical contradiction you see?Then I can't help you.Look, I see no contradiction in saying the following:
1. The equation is meaningless in (b).
2. The equation is meaningful and correct in (c).
3. The equation in (c) implies the inequality in (c).
4. The inequality in (c) implies the inequality in (b)
5. The inequality is meaningful and correct in (b).
I explained my inability to do so.This much is obvious from you inability to derive the inequality directly under scenario (b) without invoking scenario (c) at all.
OK, I still don't understand your point, since I'm just doing valid operations with numbers, but what if I side-stepped the issue and reasoned as follows:This is precisely the fallacy you continue to make. You can not put P(A|x) and P(B|y) and P(C|z) together in a single expression and calculate anything empirically meaningful. There is no alternate logic, or alternate probability theory which allows you do do that. Yet you insist on doing just that.
1. P(C|w)≤P(A|w)+P(B|w)
2. P(A|x)=.25, P(B|y)=.25, P(C|z)=.75
3. P(A|x)=P(A|w), P(B|y)=P(B|w), P(C|z)=P(C|w)
4. P(A|w)=.25, P(B|w)=.25, P(C|w)=.75
5. .75 ≤ .25 + .25
What step do you think I'm going wrong in?