Most of the polls reported by the mainstream media are carefully crafted lies designed to manipulate and shape voter opinion, not report it. There was a time when public electoral polls actually attempted to determine which candidate was going to win an election. They weren’t infallible, but they were, at least, conducted honestly. Today, almost all publicly available polling comes from media companies or universities in partnership with media companies.
The media company that pays for a poll establishes the methodology of the poll. They determine how many people will be included in the polling sample. Who will be polled, such as likely voters, registered voters, or just adults, men or women, Republicans or Democrats. They also determine what questions will be asked by the polling company. The results can be manipulated by the questions that are asked, how they are asked, or even in what order they are asked. In short, media companies determine so many of the factors that underpin the veracity of the poll, they can significantly affect the results of a poll before it is even conducted.
Considering that the Media Research Center recently reported that the mainstream media has slanted their evening news broadcasts to report on Trump unfavorably 95% of the time, compared to 5% favorable coverage. With a 19 to 1 reporting bias, is there any doubt that the media would slant polling results in the same manner?
With the most important election in America’s history to be determined (with Trump wanting to put power back into the hands of the people vs. the globalist at risk of losing many years of progress towards the New World Order), polls once again become an important component of the mainstream media political reporting. But only if the poll results support the media’s agenda. If poll results run contrary to the goals and desires of the leftist media, the results of polls that run counter to approved doctrine are buried deep, if they are reported at all. Presidential poll results favorable to the democrats are woven into high profile stories designed to discourage Trump supporters into believing that resistance is futile, Trump can’t win, so don’t waste your time voting.
Presidential election polls are expensive and media companies usually promote new poll results every way possible to attract more readers and viewers, so it’s always fascinating when media companies don’t report their own polls. Last week CNN buried the results of a large-scale, 2020 Presidential election poll so deep in their website it was hard to find.
So, why in the world would CNN spend all that money and then hide the results of their own poll? It’s simple, the poll must have been favorable to Trump and detrimental to Biden. The more favorable a story is for Trump, the deeper CNN buries it. For them to bury their own poll, it must have been pretty good for the President. The headline for the CNN poll, if you could find it, was “Biden tops Trump nationwide, but battlegrounds tilt Trump.” The Townhall article on the same data came through with “New CNN poll shows Trump crushing Biden in swing states.”
When polls show a majority of folks favor a policy or candidate, it marginalizes those who disagree with the poll, peer-pressuring them into conformity. The mainstream polling companies do not want to correct their polling because they know the skewed polls work to influence people. Republicans in Congress used skewed polls on repealing Obamacare to justify their lack of action.
A nationwide poll of the type that CNN claims Biden is leading is actually irrelevant in a Presidential Election because of the Electoral College. It’s not a national popular vote, much to the consternation of many on the left, it’s 50 state elections, And by no means are all 50 states in play. Barring a massive event, 35 of those states are pre-determined, not competitive, not changing for anything. An opinion poll in New York or California is irrelevant as it’s a foregone conclusion that the Democrat will win. The margin doesn’t matter as the electoral votes will be the same.
Due to the winner-take-all state laws allocating electors to the electoral college, the national polls aren’t what people should be looking at. It’s not a national popular vote, much to the consternation of many on the left, it’s 50 state elections, and by no means are all 50 states in play. Only the handful of states that decide elections should be taken into account (and if you don’t like that, then change it). Polls in those states from Rasmussen Reports, as well as from the reputable Investor’s Business Daily, will provide the most accurate predictions in a presidential race. Rasmussen found that Trump was beating Biden by 52 to 45 percent in those states – with oversampling! The poll noted that if equal numbers of Democrats and Republicans were polled, Trump’s lead jumped to 15 percent.
The Power of Manipulating the Data
Argumentum ad populum is Latin for the idea that because many people believe something to be true, it is true. Closely related is the bandwagon effect in marketing, where marketers attempt to persuade people to purchase their goods and services by claiming “everyone else is doing it.” These strategies aren’t just used to sell goods and services—they are also used to sell politicians and policies.
What’s the best way to show that “everyone else” supports the candidate or legislation? Polling. When polls show a majority of folks favor a policy or candidate, it marginalizes those who disagree with the poll, peer-pressuring them into conformity by making them think their opinions are unpopular, invalid, or irrelevant.
The problem, however, is that polling seems to be increasingly skewed in favor of a particular agenda. Can you remember the last time the mainstream media reported a poll on social issues showing a conservative idea winning?
In 2016, they skewed their polls to make it look like Hillary Clinton was going to win the presidential election. The Drudge Report, which used to favor the right, is now linking to these biased polls with headlines that shriek “Shock Poll!” Because they really are shocking; no one believes that Joe Biden is significantly ahead of Donald Trump in the polls. As one writer described it, “Biden can’t get through a fawning five-minute interview from his basement, with notes and a teleprompter, without losing his train of thought or saying something absurd.”
One of the most popular polling companies (though not above manipulating data) in recent years is Rasmussen Reports. Notably, of all the recent major presidential polls, Rasmussen showed Trump trailing Biden by twelve points in October, a month before the election. The poll surveyed likely voters, and did not break down Republicans v. Democrats. Four years earlier, the media was singing the same tune. On June 26, 2016, Time reported, “Democratic presidential candidate Hillary Clinton holds a double-digit lead over presumptive GOP nominee Donald Trump.” How did that turn out?
Tricks are for Kids… and Polling Companies
Oversampling is not an accident or an error, it is media manipulation of the poll in order to ensure a desired result. John Tantillo, writing for Newsmax, looked at some polls compiled at Real Clear Politics earlier this year and found that every single one of them had a bias of at least six points toward Democrats — polling more Democrats than Republicans. The only reason to oversample is to get a specific desired result. The Independents polled were underrepresented and leaned toward the Democrats. This is not an accurate representation. A December Gallup poll of party affiliation found that 28 percent identify as Democrats, 28 percent as Republicans, and 41 percent as Independents.
Wayne Allan Root, also writing at Newsmax, identified a Fox News poll last fall that surveyed a whopping 48 percent of Democrats. Similarly, an analyst who looked at polls in 2017 found that by oversampling Democrats, they robbed Trump of 8 points. According to National Review, the major polling company Pew Research Center started oversampling Democrats back in 1992 and hasn’t stopped. Unfortunately, most polls don’t show the breakdown of those surveyed.
Choosing ‘Iffy’ Republicans to Poll
The other polling bias against Republicans involves surveying voters who aren’t likely to vote. Sometimes this involves surveying “registered voters.” Well, a lot of registered voters have no intention of voting in the next election. And those less likely to vote tend to lean more to the left. Polls are a little more accurate when they survey “likely voters.” These may be people who have voted in the last presidential election. But it’s still not as accurate as surveying “likely likely voters,” as one polling company labeled them. These voters consist of those who vote in every election — which contain a higher percentage of conservatives. You may really hate Trump, but if you don’t vote you’re not going to have an effect on the election.
Rush Limbaugh recently shared on the recent polls coming out that are outrageous if not fraudulent. Townhall reported:
Conservative radio host Rush Limbaugh zeroed-in on how these pollsters are picking their GOP samples. To no one’s shock, they’re skewing these surveys by overloading it with suburban Republican voters who are more hostile to Trump. And of course, they averse to sampling rural Republicans who are die-hard Trump supporters. In essence, the ‘R-split’ are pretty much soft Democrats at this point, as suburban voters are notoriously squishy with zero backbone.
Political commentator Larry Schweikart believes that the polls used by some of the extreme polling companies are so extreme when compared to more reasonable polling because they are selecting locations unfavorable to the President in their Republican samples. Schweikart summarizes that the polling companies can get away with fraudulent polling again because the media will never call them out for their corrupt representations.
Polls can ask Leading Questions
Questions can be worded in a way that leads a respondent to an answer that may or may not reflect his true feelings. For example, I could ask the question “Do you want to stop the war in Iraq so the lives of innocent civilians can be spared?” Virtually every American wants to prevent innocent loss of life, so many respondents may answer yes to this question, even if they think the war is morally just. But reporters summarizing the results may say “…95 percent of respondents answered yes when asked if they wanted to stop the war“. The questioner can also surround the question with information that biases the answer. For example, “Seventy percent of homeless shelter residents are single mothers and their children. Should the next fiscal budget include an increase in funds to local shelters?” Respondents may believe the money is better spent on other areas, but the extra information points people in the direction of one answer.
Answers to poll questions are often more complicated that yes-no or among a small list of choices. For example, a poll may ask “Do you support a war with Iran?” The only choices may be yes or no. But many people may say “Yes, but only if they are making nuclear weapons” or “Yes, but only if it is sanctioned by the U.N.” Another example is a consumer confidence question that asks, “Do you consider yourself rich or poor?” Many people will want to answer something in between, but that isn’t a choice.
It’s normally too expensive or time-consuming to survey everyone in population; thus, we must rely on samples to gauge the opinions of everyone. A reliable, scientific poll questions a large enough sample of people to ensure statistical accuracy and includes a representative selection of respondents. Thus, a poll designed to represent American public opinion wouldn’t be very reliable if it only included 10 people or included only white males. It’s rare that news reports will mention details of the information sample or how the survey was conducted. Viewers and readers usually just take the poll results as fact.
Human Error or Manipulation of Results
Whether the poll is done in person, by phone, by mail, or by web, a human being usually has to eventually tally & report the results. That causes problems for two reasons. One, a human is prone to mistakes. If you’re tallying thousands of responses, you’re bound to make mistakes. Even if a computer handles the tally, computers are still programmed by humans. Second, the person may be dishonest and wants to achieve a certain result. For example, assume I’m a passionate advocate for banning the death penalty and am taking a phone survey. A strong poll result showing the public in favor of a death-penalty ban may convince some politicians to take action. When taking a poll, it’s easy for me to put some extra chalk marks in the anti-death penalty column even when people are answering pro-death penalty in the phone calls. Eventually, I may just achieve the poll result that I want.
A Major Problem – Contacting the Sample
A new problem that affects poll sample is the process of contacting the sample voters. People are no longer interested in participating in polls. They simply refuse to answer the phone, or else tell the pollster that they will not participate.
To best illustrate this, wired.com writes:
The classic pollster’s technique known as random digit dialing, in which firms robo-dial phone after phone, is failing, because an ever-dwindling number of people have landlines. By 2014, 60 percent of Americans used cell phones either most or all of the time, making it difficult or impossible for polling firms to reach three out of five Americans. (Government regulations make it prohibitively expensive for pollsters to call cell phones.) And even when you can dial people at home, they don’t answer; whereas a survey in the 1970s or 1980s might have achieved a 70 percent response rate, by 2012 that number had fallen to 5.5 percent, and in 2016 it’s headed toward an infinitesimal 0.9 percent. And finally, the demographics of participants are narrowing: An elderly white woman is 21 times more likely to answer a phone poll than a young Hispanic male. So polling samples are often inherently misrepresentative.
Many who do participate in polls now lie to the pollster about who they are supporting. Since there is little possibility in determining who is lying or not, this presents another bias into the poll.
The type of contact is also problematic. The younger voters have cell phones, so they are more difficult to contact. And with the ability to screen calls, contacting them becomes all the more difficult in getting a representative sample.
Countering the difficulty in obtaining a representative sample, pollsters have turned to the Internet to try and achieve representative samples. This imposes its own standard of difficulty since those willing to participate in on-line polling will tend to have a different “mind-set” than someone who is contacted by phone who would otherwise not participate in polls.
Poll results can be presented in a misleading way
Even if polls are scientifically accurate and are done by unbiased, profession polling organizations, there are still other problems that make polls unreliable. Most news stories don’t present the raw data behind a poll and let you draw your own conclusion. Instead, the results will be presented in summary format as part of an analysis article. For example, a poll question may ask “Do you support military action to unseat the Islamic fundamentalist regime of Iran (Yes | No | Unsure)?” The raw data result may be: 29 percent support, 28 percent oppose, 43 percent unsure. The correct conclusion to draw from this poll is that the public generally hasn’t made up its mind or needs more information. However, a biased reporter may selectively draw from the results and give the wrong impression.
- 2016 Presidential Election – Trump vs. Hillary: Pollsters and statisticians gave Hillary Clinton odds of between 75 and 99 percent of winning the U.S. presidential election. How did so many get it so wrong? These polls were oversampled with democrats. The article linked also shows that the President of Hart Research and Associates, Mr. Geoff Garin, who conducted a fequently cited poll, had Hillary in the lead by 11 points and soon afterbecame “a strategic adviser for Priorities USA in support of Hillary Clinton’s election“. Hart recieved $220,000 from Clinton’s campaign in September 2016 alone. See HERE also…
- A Gallup poll in the fall of 2019 claimed that 52 percent of Americans supported impeaching Trump and removing him from office. But they didn’t even bother to survey registered voters; they surveyed just anyone who picked up their phone — which could include illegal immigrants and felons who aren’t permitted to vote in most elections. The poll also over-surveyed Democrats. Most of the major liberal news and polling organizations, including Reuters, CBS, CNN, Gallup and CNBC are like this, not bothering to even survey registered voters.
- Biden’s campaign manager, also known as CNN, has their “poll of polls” described as, “the five most recent national telephone polls measuring the view of registered voters.” Considering that only 58 percent of eligible voters went to the polls in 2016, CNN’s “poll of polls” may not be particularly representative of the electorate.
- The Washington Post – ABC News poll sampled 1,000 adults. Not likely voters, not registered voters, not even eligible voters, just whoever answered the phone from their already biased database. They also oversampled Democrats by 6 percentage points and their sample contained 399 Trump supporters compared to 522 Biden supporters, over a 25 percent advantage for Biden. It’s no wonder their survey found Biden favored over Trump 54 to 39 percent, reflecting the sample. Is this designed to inform or influence the electorate?
- The Quinnipiac University poll of registered voters, oversampled Democrats by 10 points, 34 to 24 percent. Their poll favored Biden over Trump 52 to 37 percent, a 15-point margin, two-thirds of which is negated by the skewed poll sample.
- The Fox News poll oversampled Democrats by 4 points with Biden winning by an 8-point margin. Despite the voting preference for Biden, the poll was split evenly on whether Trump would be reelected.
- A 2020 CNN poll surveyed registered voters, instead of likely voters, which is a much more reliable cohort. After all, we know for a fact that half of the registered voters don’t even bother to vote. That makes them remarkably unreliable and the polling is not a representative sample. 34 percent of those polled identified as Democrats while only 26 percent described themselves as Republicans, an eight-point difference.
- In Houston, Texas, a proposition that would allow men to use women’s bathrooms failed by nearly 2 to 1 (61 percent to 39 percent). This is despite the fact that polls reported significant support for the proposition in the weeks and months leading up to the vote. In fact, a Houston Association of Realtors poll showed 15 percent more Houston voters supported the proposition than opposed it. Obviously, these polls were grossly inaccurate and skewed to manipulate people to vote in favor of the proposition.
- in 2012, North Carolinians voted on a constitutional amendment to define marriage as the union of one man and one woman. Prior to that vote, polls had showed a majority of North Carolinians opposing the amendment, and some polls showed same-sex marriage support by upwards of a 25 percent margin. However, on election day, the amendment passed 61 to 39 percent, by a 22-point margin!
- All of the Brexit polls were wrong on the UK as the people voted to exit the EU in spite of the poll manipulation that showed most were against it.
- A race for Kentucky governor also reflected the same inaccurate polling. The Huffington Post, which unapologetically leans liberal, showed the liberal leading the conservative, who vocally supported Kim Davis, the clerk who declined to issue same-sex marriage licenses, by about 2.1 percent. Other polling showed the liberal leading by as much as 5 percent. While the race was tight, the conservative ended up with the support of 53 percent of Kentucky voters, while the liberal only secured 44 percent. The conservative candidate won by 9 points.
Data from Facebook, Twitter, Youtube, etc. gives polling companies a very good idea of how a person will likely vote. They obtain this information and include the high probability democrats and low probability republicans into their own database to manipulate the data to sell you a policy or politician and the peer-pressure to conform or the herd mentality to ‘go with the crowd’ will certainly have a profound effect tens of thousands of undecided voters. That is the objective.
Voter Enthusiasm Matters
Voter enthusiasm also matters a great deal, and an ABC News poll prior to the 2020 election to gauge voter enthusiasm found that only 24% of Democrats to be enthusiastic about voting for Joe Biden. That’s probably skewed as well. How can anyone be excited to vote for a career criminal that’s done nothing but line the pockets of his family and cannot give a campaign speach without a fe gaffes, wearing an earpiece, and needs performance enhancing drugs to maintain decent health. The fake polls are manipulated to show fake momentum, but while this manipulation can go either way, let there be no question as to the globalist control over the media and their efforts to use poll manipulation to get their policies and candidates passed or elected.
Polls show a trend towards whatever agenda the globalists are pushing such as anti-police views and approval of such racist groups as Black Lives Matter. Truth is: these views are very unpopular, even among black people.
On the other hand, if enthusiasm is any indication, then President Trump should win by a landslide. Thousands attended lakes and rivers all over the US in support of Trump with Trump and America flags flying high and MAGA hats dotting the water like a bad case of acne. Latinos also turned out by the thousands for car parades. Biden boat parades? Notta! The closest parade for a democrat would be those who turned up in Michigan to protest the tyrannical lockdown rules of Governor Whitmer, who was one of Biden’s finalists for VP.