Underhill
Well-Known Member
So, assuming the data is correct, so far in my reading I see that about 15% of registered non citizens reported they were voting. And less than 1% of the respondents were registered non citizens.
The author points out that this number adds up to a substantial number of 620,000-800,000 illegals registered to vote, which sounds like a lot. But again, assuming his data is all spot on (and I will get to that in a sec) that is assuming every one of them votes, which is extraordinarily unlikely. At current voting turnout levels the real number is likely to be more in line with 150,000 nationwide.
Last election Clinton received almost 3 million votes more than Trump nationwide and still lost.
About the data...
The Data was pulled from an earlier "Cooperative Congressional Election Study". Of which even the authors are skeptical. Why? I will let them answer.
This from one of the authors of the original study.
"How do we know that some people give an inaccurate response to this question? Well, we actually took 19,000 respondents from one of the surveys that Richman used (the 2010 study) and we interviewed them again in 2012. A total of 121 of the 19,000 respondents (.64 percent) identified themselves as immigrant non-citizens when they first answered the survey in 2010. However, when asked the question again in 2012, 36 of the 121 selected a different response, indicating that they were citizens. Even more telling was this: 20 respondents identified themselves as citizens in 2010 but then in 2012 changed their answers to indicate that they were non-citizens. It is highly unrealistic to go from being a citizen in 2010 to a non-citizen in 2012, which provides even stronger evidence that some people were providing incorrect responses to this question for idiosyncratic reasons."
So the data could be off by as much as 50%, perhaps more. Meaning that the real number of illegals is minuscule, as I pointed out.
That is the problem when you are using data from the fringes. In other words 120 out of 19,000 is a tiny percentage. So small that just errors could account almost entirely for a number that small.
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