Fox News have accidentally broadcast a graphic showing that they are the least trusted major news network. The broadcaster displayed the Monmouth University poll results during its Tight Shot show Sunday, with less than a third of Americans trusting it more than President Trump.
By comparison, almost half of Americans trusted CNN – the president’s most hated news source – more than him. And 45 per cent of people questioned said they trusted CNBC more than the Commander-in-Chief.
The blunder sparked minor panic in the studio, with presenter Howard Kurtz saying: ‘That is not the graphic we are looking for.
‘Hold off. Take that down please.’
He had been expecting to see statistics showing that over three quarters of the public thought that the media reports ‘fake news’ ‘regularly or occasionally.’
The Rupert Murdoch-owned network is famous for its right-wing stance, and support for President Trump.
And he has returned the favor, regularly tweeting his respect for the network, and hailing its commentators insights while denouncing other points made by rivals.
What a bunch of dopes.
The mantra at Fox "we're number last! we're number last!"
/----/ They are last among 803 random adults.
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Psssssst! That's how polls work.
/----/ I've been educating you Libtards on polls since 2000 and you guys aren't very bright. This is how polls work:
All adults vs. registered voters vs. likely voters
Trump has a fairly poor 43 percent approval rating — and a 51 percent disapproval rating — among polls of all American adults, but he improves to a 47 percent approval rating and a 49 percent disapproval rating among polls that survey registered voters or the narrower group of likely voters. That’s a reasonably big difference.
Consider a population of 60m electors in which 30,050,000 have an opinion A, and the rest opinion B. Now assume you accept some reasonable limitations on your sample size and you choose to poll 1,500 people at random to get a feel for public opinion. In the most generic of situations, an argument based on the theory of probability gives that on average, at least two in five polls (44 percent to be precise) will show that B is leading with at least 50.1 percent of the vote share. In other words, two in five polls will give the wrong answer.
Now consider the same situation with a random sample of 6,000. Again, at least three out of ten polls will show the wrong camp in the lead. T
here is a definite improvement as we increase the sample size – this is because larger independent samples lead to better approximations. This is the effect of what is known to mathematicians as the “
strong law of large numbers” and the “
central limit theorem”.
As an extreme case, consider a forbiddingly large sample of 600,000. Then the probability of a poll not giving the correct outcome is less than 0.2 percent, so only one in 500 polls is expected to be wrong. With a sample size this large, the probability of error is what is called a large deviation – incredibly rare.
Can opinion polls ever be accurate? Probably not