amherst said:
Let me try to explain this as clearly as possible:
Let's say psi doesn't exist. Let's also say a receiver in the ganzfeld is going to mention the color red in his trial, and that during the sending phase all he sees are red images of various sorts. At the end of the process when this receiver is presented with the four targets from which he is going to choose, a red fire engine appears as one of the pictures. Now if the receiver goes by his non-psi imagery, he is going to pick the fire engine, yet the fire engine is more likely to be a decoy than the target. You understand?
To go further, lets say the receiver is presented with TWO red images, one of a fire engine and one of a red balloon, again, he isn't using psi and he has no real clue as to whether one of these is the correct target or not. Now while it is true that there is a fifty percent chance that one of these pictures is going to be the correct target, clearly only one of them can be and therefore the receiver will have to pick between the two. Divide 50% in half and what do you get? 25% again.
This is also obviously going to be the same if 3 or all 4 pictures contain the content of red. Of course this would also apply to any other content receivers might mention in their reports.
I hope you now see that, any way you cut it, the receiver only has a 25% chance of being correct as long the targets are randomly selected.
amherst
Not so obvious at all, which is why I am questioning it.
Wether or not psi exists I feel that this is a phenomena that should be controlled for, and for psi to be detected it has to be controolled for.
I suppose this is another one of those agree to disagree, the issue is that any statement issued by the reciever is going to have a chance for randomly matching any target or non target picture.
I hope you now see that, any way you cut it, the receiver only has a 25% chance of being correct as long the targets are randomly selected.
There is a random distribution of possible matching that could be anything other than 25%
I am pointing out a possible confounding principle that negates this statement. The issue is not that the targets are randomly selected, the issue is that certain target photos are going tyo have a higher arte of matchintg a randomly chosen 'reciever list' than others, and that over trial runs that use small sample sizes this is going to skew the data towards more than 25% or skew that data towards less than 25% and it has nothing at all
whatsoever with the picture being randomly chosen.
And as I stated before if the pictures are matched on this 'random reciever match' then there is no issue whatsoever.
As long as the pictures have different match rates versus a rondomly chosen reciver list it does matter at all that one out of four is ranomly chosen to be the target. The method of randomly selecting one of the pictures does not control for the possible confounding principle.
It becomes even worse if two of the pictures have a random chance of being a better match than the target.
The best way to control for this would we to:
1. Chose which words will match a picture when it is in the target position.
2. Create sets of four pictures which have no or one matching words as target hits.
3. Decide what level of matching words in needed for a target to be considered a hit.
I am sorry Amhearst, having the pictures randomly selected from a set of four will not conrol for this at all, as long as the pictures in the set are not matched for 'random reciever matching'.
The goal in science is to control for any possible conbfounding influences, and randomly choosing a picture from four will not control this effect.
Lets us say that there are four pictures with the unlikely(I choose this to deonstrate the confounding principle distribution of
(5%)(10%)(15%)(75%), there is a one in four chance of a given picture being chosen as the target so by the mistaken notion that you average the chances, this makes the average slightly higher than 25%, sounds good so far.
Except that for the first three being the target it will throw the data lower than 25% and in the fourth case it will throw the data high. And you can't just average them and say it "will work out in the long run", even a large number of runs could have a randomly chosen run where the (75%) will come up more than average and skew the data high. Or the obverse.
Sorry the fact that the pictures are chosen randomly doesn't average it out, especialy if all the pictures have a high chance of matching the random list.