CFLarsen said:
Please, Claus, your comments, not your avoidance! Show us how rigorous you can be with your reasoning, and we'll see if it holds water... or if it is a sieve.
BUMPED, again, for BillHoyt and Claus to comment on.
Again, Claus & Bill; please show why the letter/name counts are independent. ie. show that:
P(first name is a J-name)*P(second name is a J-name) =
P(first name is a J-name AND second name is a J-name).
(where P(blah) means the 'probability of event blah')
Or, equivalently show:
P(second name is a J-name|first name is a J-name) = P(second name is a J-name)
(where P(A|B) is read as 'the probability of event A given that event B has occured')
That's all those who claim the letter/name counts to be independent have to show. I'll wait...
But see, I'm thinking that:
P(second name is a J-name|first name is a J-name) = 100%.
which does not equal P(second name is a J-name), because this event occurs only when the event 'first name is a J-name' occurs, and that event does not occur 100% of the time because there are names guessed that start with other letters. For P(second name is a J-name) to equal 100%, JE or a medium would have to always guess J-names, which clearly isn't reality.
Therefore the events are dependent, and we cannot take any analysis that treats them independent seriously.
However, Thanz counts are different, because he (my take on it, please correct if I am wrong) considers the letter/name counts to be independent BETWEEN readings reading for individuals, not within readings for individuals, whereby 'individuals' I mean the subjects in things like 'I see a grandpa', 'I am sensing a male figure', 'I am seeing a old female'; the individuals are the grandpa, the male figure, and the old female. That is, Thanz's probabilities are:
P(first name in second reading is a J-name|first name in first reading is a J-name) = P(first name in second reading is a J-name), an equality which is more likely to be satisfied and thus have the letter/name counts be independent.