re: If Hillary wins, Fayetteville will be where two presidents were married.

It's okay, I'll educate the poor bastard.

-2010 Obama created his first budget. It in turn created nearly $1.6 trillion in debt. The most of any president we've ever had.
-2011 $1.3 trillion in debt
-2012 $1.09 trillion in debt
-2013 $680 billion, thanks to sequestration
-2014 $485 billion
-2015 $438 billion
-2016 $503 billion(7 months in)

Now, I left out 2009 as Bush can be credited with some of that. Still, he has added nearly $7 trillion in debt while he has been in office. All the while, he raise social security and Medicare costs. Not to mention he extended unemployment benefits which cost even more money, better known as ARRA. This also cut taxes, but he kept right on spending. He even set a record for the most money spent on defense, even though we had pulled troops out of Iraq, found Bin Laden, and declared the war on terror "over."

It doesn't prove my claim is wrong.

You linked an article that's full of assumptions. Again, why does wanting rapists put to death automatically make them a racist? Would that not actually make the author of your link a racist? Does the author of your link assume that all rapists are black? Trump never stated in your link that "all rapists are black."

So, as you now try to google something to further your agenda...Myself and the world know that Hillary is in fact racist. She also hates the LGBTQ community, as she has stated many, many times in her past. She has never been for the equality of the gay community, until recently, of course.

So, Google away...We'll be waiting!

You do understand how polls like that work, right?

I would expect a self proclaimed educated person, surrounded by only educated friends to know this.

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You know what the point is.

You're using something to back up your claim that only involved about 2200 people.

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Please explain how a sample size of 2200 people is a problem.

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I mean, again, you know how these things work, right?

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Same as above: how is this a problem?

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Please explain how a sample size of 2200 people is a problem.

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I thought you said you read their methodology?

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When interviewers reach someone on a landline phone, they randomly ask half the sample if they could speak with “the youngest male, 18 years of age or older, who is now at home” and the other half of the sample to speak with “the youngest female, 18 years of age or older, who is now at home.”

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I did. How is a sample size of 2200 a problem? You're deflecting.

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You seriously think I am deflecting?

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How is oversampling of African Americans a problem?

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Look at your own poll and figure that out for yourself.

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So you're unable or unwilling to explain how a sample size of 2200 is a problem, and how oversampling is a problem. Why is that?

It's because you don't really know what you're talking about, and you're asking rhetorical questions instead of explaining yourself to avoid saying anything that proves your ignorance.

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Yes, you nailed it. Just ignore the facts I pulled from the pew centers own poll methodology. Oversampling one race is not an issue at all when 91% of the african americans they polled are democrats.

Surely you aren't that fricking stupid. Its not hard to figure out.

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Yes, you nailed it. Just ignore the facts I pulled from the pew centers own poll methodology. Oversampling one race is not an issue at all when 91% of the african americans they polled are democrats.

Surely you aren't that fricking stupid. Its not hard to figure out.

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Great, thank you for finally proving your ignorance about polling methodology.

Oversampling actually makes polls MORE reliable, not less reliable, because they allow pollsters to include a larger sample size from a minority population in the poll. This reduces the margin of error for that minority group. It is important to note that an oversampled population is WEIGHTED in the final results, so if African Americans make up 13% of the US population, and 20% of the poll respondents, they are weighted so that they only represent 13% of the poll.

Pew explains this much better than I do on their website:

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For some surveys, it is important to ensure that there are enough members of a certain subgroup in the population so that more reliable estimates can be reported for that group. To do this, we oversample members of the subgroup by selecting more people from this group than would typically be done if everyone in the sample had an equal chance of being selected. Because the margin of sampling error is related to the size of the sample, increasing the sample size for a particular subgroup through the use of oversampling allows for estimates to be made with a smaller margin of error. A survey that includes an oversample weights the results so that members in the oversampled group are weighted to their actual proportion in the population; this allows for the overall survey results to represent both the national population and the oversampled subgroup.

For example, African Americans make up 13.6% of the total U.S. population, according to the U.S. Census. A survey with a sample size of 1,000 would only include approximately 136 African Americans. The margin of sampling error for African Americans then would be around 10.5 percentage points, resulting in estimates that could fall within a 21-point range, which is often too imprecise for many detailed analysis surveyors want to perform. In contrast, oversampling African Americans so that there are roughly 500 interviews completed with people in this group reduces the margin of sampling error to about 5.5 percentage points and improves the reliability of estimates that can be made. Unless a listed sample is available or people can be selected from prior surveys, oversampling a particular group usually involves incurring the additional costs associated with screening for eligible respondents.

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Link to above quote: LINK


So again, what's wrong with oversampling?

Please explain how a sample size of 2200 is a problem.