QUOTE(Hobbes @ May 26 2005, 08:51 AM)
Therein lies the flaw. When results indicate something that has no basis for coming about...then the results themselves are what is in question.
You are assuming that there is "no basis for [the results] to come about". That assumption is false. There are many mechanisms for the results: electoral fraud is one. You begin with the assumption that electoral fraud is impossible; you therefore conclude that any study suggesting otherwise must by your definition be incorrect. This is not logical.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
I have indicated numerous times I am very open to discussing improvements in the process.
You are changing the subject, which is the study itself. You have adamantly refused to consider the study, using your presuppositions as justification for closing your mind to the results.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
As for being beneath consideration...ditto for studies using questionable data,
As I said before, all data is imperfect. The claim that the imperfection of data nullifies the result arises from a fundamental failure to understand the nature of statistical analysis.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
performed by biased sources,
You have done nothing to demonstrate the claim of bias other than your objection to the result.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
with no attempts made to explain how the results came about, and with the data withheld from further scrutiny.
These are lies. Alternative hypotheses have been offered and the data is publicly available.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
Consider the following. There was a time (don't know if this still holds) in which the height of the Secretary of Defense was perfectly inversely correlated with our country being at war, with short SoD's always leading us into war. Statistically perfectly correlated. Now, would you say that this would call for a thorough investigation into why these short people are driving us to war? Or would you say, 'hey, wait a minute, that doesn't really make any sense, unless you can offer any mechanism through which these results are obtained." I would hope the latter...if the former, then, fine, by all means, investigate away. But that doesn't mean the rest of us should also waste our time.
This is an elementary error whose flaw is obvious to the most casual observer: the confusion of correlation with causation in the absence of causal mechanisms. A freshman stat student would be flunked for making such an error. This study was carried out by a group of statistics and poli sci professors. Your suggestion that statistics professors would make an error that they would not tolerate in a freshman defies belief.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
Interesting that, even though you claim to have read the study,
I have read every release of the study since its first draft. I have read all the published objections to it, and I have followed its evolution as it addressed each and every objection.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
nowhere in this rant do you offer anything to refute what I said.
Your only substantial objection that I have not yet addressed is your claim that voters deliberately lied to exit pollsters in order to skew the results. In the first place, there is no reason to believe that Kerry voters would be more or less inclined to lie than Bush voters. Thus, even if lying were a signficant factor, the positive lies would cancel out the negative lies. In the second place, if lying were a significant factor, then precincts that reported high percentages of votes for Bush would show lower percentages of exit poll results for Bush, and vice versa for Kerry. This discrepancy can be used to produce a correction factor, which, it turns out, is microscopic. In other words, lying does not happen often enough to affect the results of the study.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
I am also curious as to your objective here...are you hoping to taunt me into analyzing the study? If so....[claxon sound], thanks for playing, but no luck. Perhaps, as someone who says they have analyzed the study, if you gave me a little mopre info on how they addressed my issues, and a little less info on your take on my intellectual integrity? Just a thought....
Please see preceding paragraph and retract your claim about lying voters.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
It might also behoove you to skip inferring something about someone's political beliefs when you really have no information about what those beliefs are.
You're right, I have nothing to go on other than your own assertion that you are conservative.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
Oh, I see...'large number of correcting factors.' Yes, I feel muuucchhhh better now
Here are some of the correcting factors that went into the E/M exit polls. To save space and to remain within copyright limits, I have eliminated the explanatory text for some of the factors:
QUOTE
Absentee/Early Voter Telephone Surveys Absentee/Early Voter Telephone Surveys were conducted in 13 states that had a high proportion of absentee/early voters. The estimates from these surveys were used to adjust the exit poll estimates from election day to account for the absentee/early voters who can not be interviewed at the polling location on election day. The questionnaire responses in these surveys were also incorporated in the survey analysis in the 13 state surveys and the national survey.
Age-Race-Sex adjustment An Age-Race-Sex adjustment is performed based upon the refusals and misses from sample voters that are observed by the interviewers at each polling location. The age, race and gender compositions in the exit poll results are adjusted to account for the differing completion rates of these demographic groups. Best Survey Estimate The Best Survey Estimate is the computation with the lowest SEDF (Standard Error on the Difference) using only the exit poll tallies. Completion Rate The Completion Rate is the percentage of sample voters who agree to fill out the questionnaire. The rate equals completed questionnaires divided by completed questionnaires plus refusals plus missed voters who were in the sample. Composite Estimate The Composite Estimate is a weighted average of the Prior Estimate and the Best Survey Estimate....
County Model The County Model is a set of computations based upon the county data that is being reported by the Associated Press. Critical Value (Crit) The t-score is the ratio of the estimated difference between the two leading candidates and the standard error on the difference (SEDF). A critical value occurs when this ratio is 2.6 or more. The critical value increases when there are 40 or fewer sample precincts. This critical value is the first of several criteria for a “Call Status.” It means there is a .995 statistical probability that the leader is the winner. It only accounts for sampling error in the estimate. It does not account for other possible sources of error or statistical bias.
Cross Survey Cross Survey is a procedure through which state surveys are combined to form estimates of survey characteristics. When state surveys are combined in this way, the respondent weights are adjusted so that each state survey is represented in its correct proportion of the total. The Cross Survey is different from the National Survey. The Cross Survey only includes questions common to the state surveys. Decision Screens These screens provide the details for the 14 different estimates that are computed for each election day race. In addition, these screens include details on estimated candidate votes with and without exit poll results, with and without absentee votes factored in, sampling errors for all estimates, estimates by stratum, and quality control information.
Interviewing Rate....
Miss Rate...
Prior Estimate...
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
I saw a mathematical analysis which seeked to show conclusively that Earth was the only populated planet. In the analysis, they calculated all the planets that could potentially hold life...and divided that by the same number (their 'correcting factor')....magicallly producing the number one! So forgive me if I am skeptical regarding 'correcting factors.'
If you wish to debate that calcuation, please feel free to start a topic on it. I suggest that you remain on topic and discuss
these calculations, not somebody else's.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
QUOTE
QUOTE(Hobbes @ May 25 2005, 11:58 AM)
You want me to buy into this study....provide me with any reason not to suspect its data. Fundamental rule of programming...garbage in, garbage out. People don't vote the way they say they will/did to pollsters. Therefore, polling data is pretty meaningless. End of story.
This factor is addressed in exit polling methodology. The data is not garbage, it is data. Every bit of data has some degree of information content. Some has more, some has less. It is the task of statistical analysis to extract the useful information content from a mass of data. That's what has been done here. To dismiss data because it is imperfect is to deny the entire body of science, because all scientific data is imperfect.
How is it addressed? Without knowing how people 'really' voted, there isn't any way to isolate any factors indicating the authenticity of their responses. If the authors of this study claim to have such knowledge, then, of course, they're violating election laws, and should go directly to jail, do not pass Go, do not collect $200. If they don't have such knowledge...they have no basis for any causal 'correcting factors'...the best they could do is compose more statistical correlations with other suspect studies based on the same flawed data.
This belies a misunderstanding of statistical methods. When you have huge masses of data, you can cross-connect that data to extract pertinent information. Here is a simple example:
Previous polls have established that, nationwide, women prefer candidate A to candidate B by 54% to 46%. Men prefer candidate B to candidate A by 58% to 42%. Now you carry out your exit polls and you find that in precinct #873, 27 women were polled by only 21 men were polled. This means that your results are biased in favor of candidate A. You therefore adjust your exit poll results by scaling down the women's votes and scaling up the men's votes in double proportion to the ratio of their sample population and the ratio of established candidate preferences. This is a highly simplified example of how this kind of thing is done -- and it is done for all manner of factors: age, gender, race, and so forth.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
Answer me this simple question. If you ask people a set of questions, and they reserve the right to basically lie to any of them they choose...as do all the other participants in the study...and you have no way of knowing if they lied or not on any particular question...
Please see preceding paragraph explaining how the issue of deception is resolved.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
and further no mechanism through which the supposed results came about is offered,
Please see preceding paragraph referring to electoral fraud as a possible mechanism.
QUOTE(Hobbes @ May 26 2005, 08:51 AM)
and the data for the study is kept safely locked away to prevent any corroborating studies....
That is a lie. The data for the study was published in the original Edison/Mitofsky
report