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Michelle Obama: name Hussein is 'the fear bomb' - Page 3
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Actually, I believe either would beat McCain handily. It's rather obvious that the Democratic Party is highly energized this time.
And if the economy does take a true turn for the worst, like it did for 41, then watch out, it will be the death knell for the Republicans, and a certain landslide victory for the Democrats.
It's the economy, stupid
Sound familiar?
Damn, franksargent, how much worse do you want it? I've had enough bad news for the next ten years -- this housing market thing is tricky though -- it will be tough to sort out the all the pimps, johns, and whores before we can blame anyone.
I think you're wrong on HRC taking McCain, the polls I've seen:
Obama vs. McCain\tObama 47.4\tMcCain 43.5
Clinton vs. McCain\tClinton 45.5\tMcCain 46.3
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...

Damn, franksargent, how much worse do you want it? I've had enough bad news for the next ten years -- this housing market thing is tricky though -- it will be tough to sort out the all the pimps, johns, and whores before we can blame anyone.
I think you're wrong on HRC taking McCain, the polls I've seen:
Obama vs. McCain\tObama 47.4\tMcCain 43.5
Clinton vs. McCain\tClinton 45.5\tMcCain 46.3
Sample sizes are too small, and there are significantly large and diverse demographic groups, that the "random sample" assumption, isn't applicable to the actual population that votes on election day.
The truth is, that none of the polling groups, rigorously check actual voting data against polling data (and then place it into the public domain for others to judge the methods used to arrive at the assumed "randon sample," D'oh!)
For example, ±2σ ~ 95% confidence interval, meaning that if it is a truly random sample of the actual voting population, then we would expect, on average, the polling data and voting data agree 19 times out of 20, within the stated MOE. And you know what, I don't think I've ever seen any polling group, ever remotely come close to a 0.950 batting average for voting populations.


Sample sizes are too small, and there are significantly large and diverse demographic groups, that the "random sample" assumption, isn't applicable to the actual population that votes on election day.
The truth is, that none of the polling groups, rigorously check actual voting data against polling data (and then place it into the public domain for others to judge the methods used to arrive at the assumed "randon sample," D'oh!)
For example, ±2σ ~ 95% confidence interval, meaning that if it is a truly random sample of the actual voting population, then we would expect, on average, the polling data and voting data agree 19 times out of 20, within the stated MOE. And you know what, I don't think I've ever seen any polling group, ever remotely come close to a 0.950 batting average for voting populations.

I'm sorry franksargent, I read it on the internet -- so it has to be true!

In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
But the real issue for the general election is that it's 9 months away, and the campaign hasn't even started. I'd trust someone's opinion who has a good understanding of politics and the candidates' strengths and weaknesses and the way the campaign will likely go over a poll trying to predict what will happen in 9 months. Predicting what will happen during the campaign is a much bigger issue than the sampling accuracy of the polls.

franksargent, maybe you know this, but polling groups don't do random samples, they do models based on who they believe will vote. And they are terrific when it comes to predicting general election voting a few days before the actual vote. They haven't been so good at predicting the primaries, because they don't have as much experience modeling them in all the different states.
But the real issue for the general election is that it's 9 months away, and the campaign hasn't even started. I'd trust someone's opinion who has a good understanding of politics and the candidates' strengths and weaknesses and the way the campaign will likely go over a poll trying to predict what will happen in 9 months. Predicting what will happen during the campaign is a much bigger issue than the sampling accuracy of the polls.
... they always take a sample from the general population, always. I've never seen a poll where the sample size, N, wasn't mentioned. Now if they take additional information demographics, then they can proceed to making various modeling assumptions as to the assumed voter turnout on election day.
Now a national poll usually has 2,000 < N < 4,000, at which point all polling groups are polling for essentially the two leading candidates, but throw in a Nader or a Perot, that tends to muddy the waters somewhat. So we have a dozen (or more) groups taking the aforementioned surveys, what, a dozen times (or more) over a six month period?
These numerous polls if they show similar numbers and vary little (or consistently) over the time to election, then, and only then, do I start to get a warm and fuzzy feeling for the actual outcome.
But even then there is the EC to deal with, so that we would still need to poll all states (and DC) populations, at least for the states expected to be close (states where the 2*MOE is greater than the spread),
They'll ask if they are (or will be) registered voters on election day, if they will vote on election day (right here is where an error could occur if there is a bias on the high side, my assumption being that people are more likely to say yes than say no, out of guilt). of those actual voters they are asked who they would vote for, and then they collect some demographic data (income, age, sex, race, marital status, education, etceteras), and knowledge of past election demographics, and population demographics for the voting area of interest.
Disclaimer: The above is a top of the head SWAG, and I'll gladly stand corrected.

... they always take a sample from the general population, always. I've never seen a poll where the sample size, N, wasn't mentioned. Now if they take additional information demographics, then they can proceed to making various modeling assumptions as to the assumed voter turnout on election day.
Now a national poll usually has 2,000 < N < 4,000, at which point all polling groups are polling for essentially the two leading candidates, but throw in a Nader or a Perot, that tends to muddy the waters somewhat. So we have a dozen (or more) groups taking the aforementioned surveys, what, a dozen times (or more) over a six month period?
These numerous polls if they show similar numbers and vary little (or consistently) over the time to election, then, and only then, do I start to get a warm and fuzzy feeling for the actual outcome.
But even then there is the EC to deal with, so that we would still need to poll all states (and DC) populations, at least for the states expected to be close (states where the 2*MOE is greater than the spread),
I'm not sure what you mean by "they always take a sample from the general population." Who wouldn't be the general population?
My understanding is that national polling groups have long since given up on trying to get random samples, and instead try to get certain percentages of certain types of people (men ,women, repubs, dems, blacks, whites, young, old, etc.), and within those categories the individuals are as random as possible, i.e., stratified random sampling. Right now, for example, they're trying to figure out if Obama is going to get a higher black turnout in Texas to know if they should include a higher percentage of blacks in their model - they don't just randomly call people and go with however many blacks they happen to get on the phone. They go for certain percentages based on previous data. Each polling group has their own proprietary model, and which model they use will go a long way in determining their accuracy.
Even though dumbass news orgs love to talk about the margin of error as if they've become mathematicians, the models used (and the question wording and such) are much more important for accuracy than the confidence intervals they report.
BTW, I've never seen a political opinion poll with an N between 2000 and 4000. It's usually around 1000 and often significantly less which, stratified sampling or no, is plenty big enough to estimate 100 million voters - central limit theorem and all.

Actually, I believe either would beat McCain handily. It's rather obvious that the Democratic Party is highly energized this time.
And if the economy does take a true turn for the worst, like it did for 41, then watch out, it will be the death knell for the Republicans, and a certain landslide victory for the Democrats.
It's the economy, stupid
Sound familiar?
I really don't put all that much credence on "highly energized" claims. Democrats were highly energized in 2004 and 2000 and it still came down to razor thin margins. In fact 2004 was supposed to make a huge diff. with lots of organizing and a large turnout...
The difference will be in who does NOT turnout. McCain does not inspire the Republican base and he is loathed by conservatives. Against Obama he should lose.
But Hillary is really hated by one half the populace AND unlike Obama, she does not inspire independents (and McCain does).
Bottom line...if Hillary gets the nod its a horse race. Otherwise its Obama in a walk.

I'm not sure what you mean by "they always take a sample from the general population." Who wouldn't be the general population?
My understanding is that national polling groups have long since given up on trying to get random samples, and instead try to get certain percentages of certain types of people (men ,women, repubs, dems, blacks, whites, young, old, etc.), and within those categories the individuals are as random as possible, i.e., stratified random sampling. Right now, for example, they're trying to figure out if Obama is going to get a higher black turnout in Texas to know if they should include a higher percentage of blacks in their model - they don't just randomly call people and go with however many blacks they happen to get on the phone. They go for certain percentages based on previous data. Each polling group has their own proprietary model, and which model they use will go a long way in determining their accuracy.
Even though dumbass news orgs love to talk about the margin of error as if they've become mathematicians, the models used (and the question wording and such) are much more important for accuracy than the confidence intervals they report.
BTW, I've never seen a political opinion poll with an N between 2000 and 4000. It's usually around 1000 and often significantly less which, stratified sampling or no, is plenty big enough to estimate 100 million voters - central limit theorem and all.
The Harris Poll® #11, February 7, 2007
At the bottom;
The Harris Poll® was conducted by telephone within the United States between February and November 2006 among a nationwide cross section of 10,032 adults (aged 18 and over). Figures for age, sex, race/ethnicity, education, region, number of adults in the household, size of place (urbanicity) and number of phone lines in the household were weighted where necessary to bring them into line with their actual proportions in the population.
All surveys are subject to several sources of error. These include: sampling error (because only a sample of a population is interviewed); measurement error due to question wording and/or question order, deliberately or unintentionally inaccurate responses, nonresponse (including refusals), interviewer effects (when live interviewers are used) and weighting.
With one exception (sampling error) the magnitude of the errors that result cannot be estimated. There is, therefore, no way to calculate a finite "margin of error" for any survey and the use of these words should be avoided.
With pure probability samples, with 100 percent response rates, it is possible to calculate the probability that the sampling error (but not other sources of error) is not greater than some number. With a pure probability sample of 10,032, one could say with a ninety-five percent probability that the overall results would have a sampling error of +/-1 percentage points. However that does not take other sources of error into account.
These statements conform to the principles of disclosure of the National Council on Public Polls.
As to matching demographics of the group of actual voters, based on presumably U.S. Census data and previous elections, that's where the "guess work" (my usage) or models" (your usage) comes in.
A "random" or truly "representative" sample of the general population of voters in question is always the goal.
As to calling people randomly, the best they can do to get a representative "random" sample of all demographics, is to use U.S. Census data.
As to MOE and sample size, if these numbers weren't published, no one would pay attention to these polls, and MOE is a simple mathematical calculation based on sample size, N.
BTW, that 10,000 number is absurd - that's a combination of all of that group's polls in that year, not a single poll, which tend to have 500-1000 respondents. And I don't believe that link applies to election prediction polling, it applies to estimating the number of people who call themselves Rs and Ds, which is a different issue. When they're trying to predict votes, they rely on their voter turnout models; when they're trying to estimate opinions of people in the country in general, I assume they only weight by census data like you said.

frank if that supports your position, I guess I'm not sure what your position is. I'm just saying that they rely heavily on stratified sampling for election polling rather than simple random sampling. This was a big issue that everyone was talking about in the last few election cycles because different agencies used different models for weighting how many Rs and Ds would get out to vote, and polls that used different models tended to have different results.
BTW, that 10,000 number is absurd - that's a combination of all of that group's polls in that year, not a single poll, which tend to have 500-1000 respondents. And I don't believe that link applies to election prediction polling, it applies to estimating the number of people who call themselves Rs and Ds, which is a different issue. When they're trying to predict votes, they rely on their voter turnout models; when they're trying to estimate opinions of people in the country in general, I assume they only weight by census data like you said.
Sample sizes are too small to be meaningful in and of themselves. If they weren't than why do we obtain disparate polling numbers from different polls, Ohio immediately comes to mind, as MSNBC reviewed 5 different polls just last night.
What modeling assumptions are being made to predict voter turnout, and how many demographic groupings are there? I expect dozens to sufficiently quantify the polling groups numbers. So for example, take N = 1,000 and divide by 100 (were talking age, gender, race, income, education, profession, political disposition, household type (married, single. living together), etceteras). so that leaves n = 1,000/100 =10, a sample size (or bin count) too small to be meaningful when extrapolated 1,000X, 10,000X, 100,000X ...
\We already know how poorly these models have faired so far this year, precisely because the voter turnout models have made grossly incorrect assumptions on voter turnout demographics.
NH and CA immediately come to mind, there have been numerous others, so basically stating the MOE is, how do I state this, bogus?
And yes, I've seen national polls with N = 2,000, in fact during the 2006 national elections.
True. The conservative leaders of talk radio do want Hillary to keep up the fight. It helps divide the Democrats and assures us of good entertainment. And they'd like to think it is working...
LATEST RCP POLL shows Hillary ahead in Texas by 1.7% average.
GO HILLARY RODHAM CLINTON -
So there's no such thing as sampling errors or sampling biases?
Saying something isn't so, because "it isn't so," does not appear to me to be a sufficient answer.
\
True. The conservative leaders of talk radio do want Hillary to keep up the fight. It helps divide the Democrats and assures us of good entertainment. And they'd like to think it is working...
LATEST RCP POLL shows Hillary ahead in Texas by 1.7% average.
GO HILLARY RODHAM CLINTON -
These wing nuts crack me up. Propelling Romney to a win was going to be their show of power. That didn't work. Now, if HRC wins, wing nut radio will attribute it to their influence. If they can get a big paycheck babbling drivel on the radio, more power to them, I guess.
(not that there's anything wrong with that)
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
Right, that's exactly what I said, that there's no such thing as sampling error or sampling bias. You got it perfectly. I didn't say "sample sizes aren't the problem" or "the problem is that the election is 9 months away."
1) Look, if they could poll every single person in the US about who they're voting for in November, it wouldn't be any more accurate than the existing 800-person polls, when it comes to predicting the outcome of the election. That's because things will happen during the campaign that will move significant numbers of voters from where they are today.
2) It's one of the common myths about polling that they need many more people in their sample than they commonly use because the population of all US voters is so large. The central limit theorem shows why several hundred is just fine whether your population is a few thousand, a few million, or a few hundred million. That's why I addressed this issue of sample size.
3) On the models they use: Voters are not a random sample of Americans. Certain people are more likely to vote than others - older, whiter, wealthier, etc. That's why their likely voter models are so much more important than their sample sizes or their confidence intervals. I'm not saying "sampling error doesn't exist" - I'm saying that their sample sizes are large enough, and the real error comes from the models they use, which are mostly guesswork based on human experience and judgment: "I think we should increase our estimate of black turnout by, um, 4%! because of Obama being a black candidate."
Here's some interesting discussion of election polling that I followed regularly (when it was active), about likely voter models and where error comes from in polling.
Anyway, I'm sorry to have challenged you on the issue, I didn't want to get into a pissing match about it. I just thought I could throw in some useful info about the issue because it's something I had researched in the past. I guess I forgot this is the internet...
- FormerLurker
- Fishhead for Life
- Joined: Nov 2001
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Right, that's exactly what I said, that there's no such thing as sampling error or sampling bias. You got it perfectly. I didn't say "sample sizes aren't the problem" or "the problem is that the election is 9 months away."
1) Look, if they could poll every single person in the US about who they're voting for in November, it wouldn't be any more accurate than the existing 800-person polls, when it comes to predicting the outcome of the election. That's because things will happen during the campaign that will move significant numbers of voters from where they are today.
2) It's one of the common myths about polling that they need many more people in their sample than they commonly use because the population of all US voters is so large. The central limit theorem shows why several hundred is just fine whether your population is a few thousand, a few million, or a few hundred million. That's why I addressed this issue of sample size.
3) On the models they use: Voters are not a random sample of Americans. Certain people are more likely to vote than others - older, whiter, wealthier, etc. That's why their likely voter models are so much more important than their sample sizes or their confidence intervals. I'm not saying "sampling error doesn't exist" - I'm saying that their sample sizes are large enough, and the real error comes from the models they use, which are mostly guesswork based on human experience and judgment: "I think we should increase our estimate of black turnout by, um, 4%! because of Obama being a black candidate."
Here's some interesting discussion of election polling that I followed regularly (when it was active), about likely voter models and where error comes from in polling.
Anyway, I'm sorry to have challenged you on the issue, I didn't want to get into a pissing match about it. I just thought I could throw in some useful info about the issue because it's something I had researched in the past. I guess I forgot this is the internet...
Biased sample
Opinion poll
1) Which is precisely what has happened during this primary season, and these polls are taken right up to the day before the actual primary, and they have still been significantly wrong in many cases, well outside of the stated MOE.
2) They all express the fact that any sum of many independent and identically-distributed random variables will tend to be distributed according to a particular "attractor distribution". The Central Limit Theorem, as an approximation for a finite number of observations, provides a reasonable approximation only when close to the peak of the normal distribution; it requires a very large number of observations to stretch into the tails. I would argue that the system under measurement is non-stationary on not ergodic, that the various demographic distributions are not independent and not identically distributed. And that the PDF is finitely bound and not symmetrical. So much for your central limit assumption with it's limits of ± infinity. I think we are talking about the tails are we not?
Central limit theorem
3) Guesswork based on 100% white male population in the past running for office at the national level (POTUS). Ergo, I rest my case.
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Ha! -- That quote is going straight to my documents folder for safe keeping.
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
I do understand your original argument though, polling 8-9 months out when we aren't even down one D and one R is in no way representative of what will happen in those 8-9 months, or whatever happens outside of the polling, you know world events, national events, economic downturn, etceteras.
So your original point is noted and taken as being correct.

Considering that at least 20,000,000 guys share the name "Hussein" in one form or the other across Africa and Asia it is statistically 100% certain that some of them are Al Qaeda and some of them will indeed be dancing in the streets. Wow a Republinsane using science, how new!!
I propose using the translated version: "Handsome One"
Barack Handsome One Obama
haracka Haracka Haina Baracka = Take it easy (Suahili)
Easy Going Handsome One Obama = I am scared shitless.
Excellent.
Is this likely to hurt Obama or Hillary more?
Is Hillary really being persecuted by a vast sexist media conspiracy?


I'm surprised that no-one's mentioned the tempest over the Clinton camp's latest firebomb. (Or maybe I've missed it in another thread?)
Is this likely to hurt Obama or Hillary more?
Is Hillary really being persecuted by a vast sexist media conspiracy?

I heard her on NRP a week or so ago saying largely the same thing. She may be right.

I'm surprised that no-one's mentioned the tempest over the Clinton camp's latest firebomb. (Or maybe I've missed it in another thread?)
Is this likely to hurt Obama or Hillary more?
Is Hillary really being persecuted by a vast sexist media conspiracy?

Controversy
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She said the same thing about Jesse Jackson, she would probably say it about any black candidate. What she is really saying is "there are no, and can never be any, qualified black people". In other words, she is a racist whiner.
If you took Obama's brain, and put it into Edward's body, you would have a much better candidate than Edwards. I think she is flat out wrong.

I'm surprised that no-one's mentioned the tempest over the Clinton camp's latest firebomb. (Or maybe I've missed it in another thread?)
Is this likely to hurt Obama or Hillary more?
Is Hillary really being persecuted by a vast sexist media conspiracy?

I think this quote from The Economist sums it up:
A campaign that degenerates into name-calling and mud-slinging will hurt Mr Obama more than it does Mrs Clinton. He has campaigned on messages of change and hope so he faces an unenviable choice in the long run-up to Pennsylvania. If he lets the Clinton team fling the brickbats without retaliation she may set the tone of the campaign. But respond in kind and his message of a new politics is tarnished. Even though he is behind there in the polls, Pennsylvania cannot come soon enough for Mr Obama.
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
In our desire to impose form on the world we have lost the capacity to see the form that is there;
and in that lies not liberation but alienation, the cutting off from things as they really are. --...
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