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16-10-18 POLL POOP - CBS POLL

WHAT ARE THEY HIDING

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<strong>POLL</strong> <strong>POOP</strong> – A DIVE BELOW THE HEADLINES <strong>10</strong>/<strong>18</strong>/20<strong>16</strong><br />

<strong>CBS</strong> <strong>POLL</strong> – WHAT ARE THEY HIDING<br />

The latest <strong>CBS</strong> poll showing a Clinton 9 point advantage was published yesterday and covered<br />

data responses between <strong>10</strong>/12 and <strong>10</strong>/<strong>16</strong>. The results show a 50/41 advantage based on a poll<br />

question asked of “Likely Voters Including Leaners”. Remember this for something later on.<br />

The published backup for this poll is pretty slim. It’s apparent that there were up to 51 poll<br />

questions but <strong>CBS</strong> has chosen to publish pertinent data on only some of the questions. In my<br />

opinion, these are the questions needed to drive the narrative and make the requisite headline<br />

which was the goal to begin with. The published data, poll questions and responses giving<br />

answers in percentages, begin with the first data point starting with “q3/4”. There’s a “q6/7” and<br />

some others scattered up to “q51”. <strong>CBS</strong> has chosen to publish responses to only 11 of at least 51<br />

or more poll questions. Hiding something?<br />

There’s no way to determine gender split for this poll. Ethnicity is not addressed.<br />

Party affiliation for “weighted” likely voters is given in the tabulations in “q51” (Question<br />

51?) noted above. The answers to that question also lead me to suspiciously ask how this poll<br />

starts with 1411 unweighted respondents, goes down to 1<strong>18</strong>9 unweighted registered voters (I get<br />

how they cull the count for this) - then they take 1<strong>18</strong>9 unweighted registered down to <strong>10</strong>92<br />

‘weighted’ registered voters - then the ‘weighted’ registered voters drops to 778 ‘weighted’<br />

likely voters.<br />

The published news article leads you to believe the poll is based on the results<br />

from the 1<strong>18</strong>9 registered voters when it’s not. Is that what one could consider a<br />

bias? Remember what I opened with, in the limited published data the answer to<br />

the first question in that published data was based on “likely voters” (that’s the<br />

778 count) not registered voters (the 1<strong>18</strong>9 count the story wants to make you<br />

believe – not that the number itself matters, it’s the blatant deception).<br />

In the poll’s methodology I found the 2 statements below:<br />

The sample of likely voters is modeled among registered voters (N=1,<strong>18</strong>9), assigning<br />

each respondent a probability of voting based on their responses.<br />

The data have been weighted to reflect U.S. Census figures on demographic variables


Regarding modeling of a sample of registered voters as stated above, what determined the<br />

probability of voting? What U.S. Census figures are being used to weight data?<br />

The poll answers to “q51” in the tabulation provided in the limited published data broke out the<br />

various counts that made up the totals (1<strong>18</strong>9, <strong>10</strong>92 and 778) by party affiliation. The count they<br />

gave was a body count and I calculated the percentages (%) shown below.<br />

Unweighted Reg Voters (1,<strong>18</strong>9) Unweighted Reg Voters (1,092) Weighted Likely Voters (778)<br />

From Poll Calculated From Poll Calculated From Poll Calculated<br />

(R) 381 32.0% (R) 353 32.3% (R) 254 32.6%<br />

(D) 401 33.7% (D) 366 33.5% (D) 282 36.2%<br />

(I) 407 34.2% (I) 373 34.2% (I) 242 31.1%<br />

It makes a simple guy like me wonder how these machinations take place. It may not seem like<br />

much, but looking at the Democrat and Republican respondents by total percentage, getting from<br />

an unweighted Democrat registered voter to a participant in the final round up as a weighted<br />

Democrat likely voter, favored the Democrats.<br />

I feel like I dove deep enough and uncovered another tidbit – weighted data, when properly<br />

applied to the appropriate modeled sample is being manipulated to give a Democratic<br />

advantage. If weighted data was to yield unbiased results then how did the Independents<br />

take a deeper number dive reflected by %’s at the expense of the Democrats? I’m assuming<br />

the pollsters had all responses from the 1<strong>18</strong>9 registered voters when the culling began.<br />

What part of what answer that a Democrat gave to a question did Pollster Joe Democrat<br />

like more than the Independent’s answer? OPEN TO BIAS ANYONE?<br />

In summary, this is why the ‘<strong>CBS</strong> Poll’ is biased. The problem with<br />

disseminating this false data in the form of a blaring but untrue<br />

headline is the effect on decisions being made by “LIV’s” (Low<br />

Information Voters).<br />

Please forward this to your family and friends and ask them to bring up the crooked polling and<br />

back it up with facts when they have the opportunity to discuss the upcoming election with a<br />

reasonable individual. There’s a problem there too. When I try to have a reasonable discussion<br />

with a Democrat, it takes about 5-<strong>10</strong> words before the “Trump” word is spoken by them<br />

followed by a rant and a refusal to talk reasonably and discuss facts.<br />

Be strong in your position.

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