Thanz
Fuzzy Thinker
- Joined
- Jul 24, 2002
- Messages
- 3,895
Peddle this BS somewhere else, Mr. Hoyt. You have spectacularly failed to address the following example:BillHoyt said:Thanz,
I have answered everything. You continue to fail to understand the answers. It is useless to continue with you because you twist my answers into your answers or no answers at all.
Why do you consider reading 1 to be equivalent to readings 2, 3, and 4 combined? What is the logical basis for this?Let's make this a concrete example:
Reading 1:
JE: I am getting a "J" connection here.
Sitter: J?
JE: Yes, a "J" - like John, or Joe
sitter: I had an uncle Joe....
My method: one J guess.
BillHoyt:3? 4? J guesses?
Reading 2
JE: I am getting a "J" connection..
Sitter: My grandfather was John
Thanz:1 J
BillHoyt:1 J
Reading 3:
JE: I am getting a "Jim" connection here...
Sitter: Nope, I don't know any Jim
JE:What is the Canada connection?
Sitter: Blah blah
Thanz: 1 J
BillHoyt: 1 J
Reading 4
JE: I am sensing an older female
Sitter: My Mother has passed
JE: was her name "Jennifer"
Sitter: no, it was Roberta
Thanz: 1 J
Bill Hoyt: 1 J
Now, here is my problem with your counting method. In your method, reading 1 has as much weight as readings 2, 3, and 4 combined. However, in all cases, he is trying to make one J connection. Remember, we are trying to count how many times he will guess a certain letter, for cold reading purposes. If we have 3 separate readings (2, 3, 4) in which he makes a "J" guess, that is much different than the one reading with the multiple names. That distinction is lost in your method. My method counts all of them equally.
Let's not also forget this post:
Anything to say to these point, Mr. Hoyt?Bill, when are you actually going to address the real issues here? Lets try taking this step by step. Let's see if you can actually address them point by point.
1.Both rejections of the null hypothesis, however you feel like defining that term, were based on flawed data of one kind or another. Kerberos on flawed control data, yours on flawed counting data.
2. The test that you propose of the null hypothesis is capable of being performed with data other than the data that you yourself have compiled.
3. If we perform your test of the null hypothesis with the raw data compiled by Kerberos (his counts of intials), the null hypothesis cannot be rejected.
4. If we perform your test of the null hypothesis with the raw data that I have compiled, we also cannot reject the null hypothesis.
Do you have anything substantive at all to say about any of these points, or do you just wish to insult me again and hope that nobody realizes that you are just runninng away?
Well, finally, some agreement. They are irrelevant for counting purposes. Whoopie!!I have said before the sitters responses don't matter for the counting. I have repeated it. I have said before that JE's acceptance of those responses also does not matter for the counting. I have repeated that.
Then, by this logic, your counting method and the assumption of one guess per name is refuted everytime JE accepts one hit for a string of names. Examples:I have also clearly said that JE's acceptance of certain responses matters greatly to your 1 guess - 1 person assumption. It refutes it.
EDWARD: Where does the Lewis or the Louis or the L-name?
CALLER: The L. I had a uncle that had died when I was a little kid.
This happens quite frequently. JE spits out a letter, or a few names, and one hits. He goes with the one hit. And thus, according to your logic, the assumption that each name should be treated as a separate guess is refuted.EDWARD: Where's the Jane connection or Jeannie?
CALLER: Jane would be sister-in-law.
EDWARD: OK. Ask her. Because they're telling me to connect it either through either Janey or Jeannie.
Further, my method was based on logic. It was not only based on one person, one guess - as should be obvious to anyone reading this. I stated early on, for example, that if he stated that he was looking fo two J, we count 2 guesses.
.......neo