New Podesta Email Exposes Playbook For Rigging Polls Through "Oversamples"I don't get it. Why even make the phone calls and actually take data? Why not just make it up from scratch and avoid all that work? Unless, of course, you want to feed the REAL data to the Clinton campaign for Hillary's use. Otherwise, creating a phony 12 point lead could work against Hillary, as voters assume that it's a done deal for her election, and so they stay home. I presume that the Left thinks that Republicans would stay home in higher numbers. But it's a two edged sword. I read somewhere a few days ago that the polls always seem to converge on the real real voter expectations when it gets very close to election time. That could be real, or it could be cover-up for earlier data manipulation.
Earlier this morning we wrote about the obvious sampling bias in the latest ABC / Washington Post poll that showed a 12-point national advantage for Hillary. Like many of the recent polls from Reuters, ABC and The Washington Post, this latest poll included a 9-point sampling bias toward registered democrats.
"METHODOLOGY – This ABC News poll was conducted by landline and cellular telephone Oct. 20-22, 2016, in English and Spanish, among a random national sample of 874 likely voters. Results have a margin of sampling error of 3.5 points, including the design effect. Partisan divisions are 36-27-31 percent, Democrats - Republicans - Independents."Of course, while democrats may enjoy a slight registration advantage of a couple of points, it is nowhere near the 9 points reflected in this latest poll.
Meanwhile, we also pointed out that with huge variances in preference across demographics one can easily "rig" a poll by over indexing to one group vs. another. As a quick example, the ABC / WaPo poll found that Hillary enjoys a 79-point advantage over Trump with black voters. Therefore, even a small "oversample" of black voters of 5% could swing the overall poll by 3 full points. Moreover, the pollsters don't provide data on the demographic mix of their polls which makes it impossible to "fact check" the bias...convenient.
Now, for all of you out there who still aren't convinced that the polls are "adjusted", we present to you the following Podesta email, leaked earlier today, that conveniently spells out, in detail, exactly how to "manufacture" the desired data. The email starts out with a request for recommendations on "oversamples for polling" in order to "maximize what we get out of our media polling."
I also want to get your Atlas folks to recommend oversamples for our polling before we start in February. By market, regions, etc. I want to get this all compiled into one set of recommendations so we can maximize what we get out of our media polling.The email even includes a handy, 37-page guide with the following poll-rigging recommendations. In Arizona, over sampling of Hispanics and Native Americans is highly recommended:
Research, microtargeting & polling projectsFor Florida, the report recommends "consistently monitoring" samples to makes sure they're "not too old" and "has enough African American and Hispanic voters." Meanwhile, "independent" voters in Tampa and Orlando are apparently more dem friendly so the report suggests filling up independent quotas in those cities first.
- Over-sample Hispanics
- Use Spanish language interviewing. (Monolingual Spanish-speaking voters are among the lowest turnout Democratic targets)
- Over-sample the Native American population
- Consistently monitor the sample to ensure it is not too old, and that it has enough African American and Hispanic voters to reflect the state.
- On Independents: Tampa and Orlando are better persuasion targets than north or south Florida (check your polls before concluding this). If there are budget questions or oversamples, make sure that Tampa and Orlando are included first.
Meanwhile, it's suggested that national polls over sample "key districts / regions" and "ethnic" groups "as needed."
- General election benchmark, 800 sample, with potential over samples in key districts/regions
- Benchmark polling in targeted races, with ethnic over samples as needed
- Targeting tracking polls in key races, with ethnic over samples as needed