I don’t see why you think that 3 extra people, no matter if they’re honest or not, amount to any significant amount of evidence when you can see the diagram yourself.
Sure, maybe they’re good enough if you can’t see the diagram; 3 people thinking the same thing doesn’t often happen when they’re wrong. But when they are wrong, when you can see that they are wrong, then it doesn’t matter how many of them there are.
Also: certainly the odds aren’t high that you’re right if we’re talking totally random odds about a proposition where the evidence is totally ambiguous. But since there is a diagram, the odds then shift to either the very low probability “My eyesight has suddenly become horrible in this one instance and no others” combined with the high probability “3/4 people are right about a seemingly easy problem”, versus the low probability “3/4 people are wrong about a seemingly easy problem”, versus the high probability “My eyesight is working fine”.
I don’t know the actual numbers for this, but it seems likely the the probability of your eyesight suddenly malfunctioning in strange and specific ways is worse then the probability of 3 other people getting an easy problem wrong. Remember, they can have whatever long-standing problems with their eyesight or perception or whatever anyone cares to make up. Or you could just take the results of Asch’s experiment as a prior and say that they’re not that much more impressive than 1 person going first.
(All this of course changes if they can explain why C is a better answer; if they have a good logical reason for it despite how odd it seems, it’s probably true. But until then, you have to rely on your own good logical reason for B being a better answer.)
I don’t see why you think that 3 extra people, no matter if they’re honest or not, amount to any significant amount of evidence when you can see the diagram yourself.
Sure, maybe they’re good enough if you can’t see the diagram; 3 people thinking the same thing doesn’t often happen when they’re wrong. But when they are wrong, when you can see that they are wrong, then it doesn’t matter how many of them there are.
Also: certainly the odds aren’t high that you’re right if we’re talking totally random odds about a proposition where the evidence is totally ambiguous. But since there is a diagram, the odds then shift to either the very low probability “My eyesight has suddenly become horrible in this one instance and no others” combined with the high probability “3/4 people are right about a seemingly easy problem”, versus the low probability “3/4 people are wrong about a seemingly easy problem”, versus the high probability “My eyesight is working fine”.
I don’t know the actual numbers for this, but it seems likely the the probability of your eyesight suddenly malfunctioning in strange and specific ways is worse then the probability of 3 other people getting an easy problem wrong. Remember, they can have whatever long-standing problems with their eyesight or perception or whatever anyone cares to make up. Or you could just take the results of Asch’s experiment as a prior and say that they’re not that much more impressive than 1 person going first.
(All this of course changes if they can explain why C is a better answer; if they have a good logical reason for it despite how odd it seems, it’s probably true. But until then, you have to rely on your own good logical reason for B being a better answer.)