It's the aims of the control, and the utter brazenness with which the new administration attempts to manipulate facts and reality in general that are different.
There's never been an administration (well, maybe in the 19th century; but I mean, not since the dawn of modern journalistic reporting) that blatantly and transparently lied about such publicly known and immediately fact-checkable things as crowd sizes on inaugural day.
I don't see what's Orwellian about it.
This morning the press secretary asked you -- yes, you -- to not see anything wrong with the fact that President still believes that "millions of people voted illegally" in the last election. And that he has "studies and evidence" on which he bases that belief.
You don't see anything Orwellian about that?
If your source on disproving the "millions of illegal votes" is one of the same sources that thought Hillary was going to win in a landslide, then you have nothing to say.
I'm not going to say I agree there were illegal votes, but I am holding out for better evidence.
In the case of Clinton losing the election, the predictions which were based on statistical evidence did not match the actual outcome. Even so, an unlikely outcome is understood as a possibility within the domain of predictive statistical modeling and the wholesale dismissal of the utility of statistical modeling is anti-science at best.
On the other hand, asserting voter fraud without providing a single shred of evidence (regardless of claims to have said evidence) is quite different from evidence-based statistical modeling. So people who "thought Hillary was going to win in a landslide" could actually have quite a bit to say about alleging voter fraud without producing evidence. For example, such people could say that Clinton won the popular vote by a margin of nearly 3 million votes.
To turn your statement on its head, it is in fact the people who allege voter fraud without evidence who have nothing to say.
EDIT: spelling, reduce number of single-sentence paragraphs
predictions which were based on statistical evidence
Polls aren't evidence. In this case, they were barely data.There are polls which are designed to gauge opinion, and there are polls which are designed to steer opinion.
evidence-based statistical modeling
Given that the model failed, it apparently wasn't evidence-based.So if you met someone on a street corner who pointed at the sky, and told you "Hey look, it's orange with pink polka-dots" -- would you think to yourself, "Hmm, I'm tempted to be skeptical -- but then again, when I asked this guy for the time the other day, he gave a correct enough answer. So maybe he's right this time, too."
If your source on disproving the "millions of illegal votes"...
So are you suggesting that the "millions" claim stands until disproven? Is that really how you see things?
No one thought Trump would win. Even in the states he lost in, he lost be lesser margins than was predicted. Hiliary seemed to be inevitable---after all she is an actual politiclan, with real experience. The democractic machine is behind her, isn't it? She has the force of history behind her driving her to be the first female president. How can she lose?
Then she lost rather dramatically. I looked at the election results and saw a sea of red from coast to coast, with Hilary doing well in high population areas but losing majority everywhere else.
The idea that no outlet which was incorrect in predicting election results can be used as a credible source for post-election reporting is preposterous. Where do you get your news, if you abandon sources the instant that they make an incorrect prediction? Do you ignore meteorologists because they were wrong about that big thunderstorm that one time?
[0] https://www.bloomberg.com/politics/articles/2016-12-14/trump...
You: "Statistics is bullshit."
You: "The coin is not imbalanced nor is the process gamed in any way."
The point with the election polling wasn't statistics. I don't have a source, but I read on HN and Hillary's emails that much of the mistake was a misassessment of the voter base due to bias. I'm questioning the likelihood that the news sources that were biased then will be unbiased now.
> So are you suggesting that the "millions" claim stands until disproven? Is that really how you see things? Check my last statement...I'm agnostic until better information shows itself.
There is a Harvard rebuttal to that study, but that doesn't change the fact there is a study supporting the President's position.
The inauguration was the most-watched in history (person + tv + live-streaming), yet the "reality" I'm seeing in California is that Obama's was far more popular. Who is bending reality? It depends on the reality you're already pre-disposed to believe.
This rebuttal, you mean?
"This paper documents how low-level measurement error for survey questions generally agreed to be highly reliable can lead to large prediction errors in large sample surveys, such as the CCES. The example for this analysis is Richman, Chattha, and Earnest (2014), which presents a biased estimate of the rate at which non-citizens voted in recent elections. The results, we show, are completely accounted for by very low frequency measurement error; further, the likely percent of non-citizen voters in recent US elections is zero."
...but that doesn't change the fact there is a study supporting the President's position.
Do you realize what you're saying, here? "The study has since been revealed to have been basically bullshit. But that doesn't change the fact it supports the President's position."
It depends on the reality you're already pre-disposed to believe.
If you're already that relativist about about basic events in recent history that were attended by hundreds of thousands in person -- and witnessed on television many many hundreds of millions, worldwide -- as to basically say, "How can ya really know? It all depends on what you're pre-disposed to believe" -- then I'm afraid there's not much I can do for you, pal.