Thursday, November 12, 2020
Wednesday, November 11, 2020
If The Left Succeeds In Their Fraud, Death Panels Will Be Back....
Or: How To Kill Off All The Old White Men....
The Problem of False Chinese Economic Data
China has a long history of opaqueness when it comes to reporting economic statistics.
Although the communist regime claims the economic numbers it reports are factual, a new report by the New York Federal Reserve shows China’s gross domestic product growth volatility is incredibly—and unbelievably—low compared to other countries.
The report details how China’s reported data is too smooth over time compared to authentic statistics, and debunks it further by comparing it with other sources of information, such as satellite images of nighttime lights, which reveal wider fluctuations in economic activity than the official Chinese statistics.
Unfortunately, opaqueness in Chinese GDP growth rates is just the tip of an iceberg of secrecy. As a recent report by The Heritage Foundation notes:
The statistics China provides cannot be trusted, however; and their inaccuracies have wide implications for global markets in commodities, international investments, and for companies doing business with China.
How China sets its overall budget, the actual size of its military budget, the relationship among various political factions, and even how specific decisions may be staffed are all elements that the [People’s Republic of China] deliberately strives to conceal.
Nonetheless, as the world’s second-largest economy, as a permanent member of the U.N. Security Council, and as a major power, the PRC has to provide some information about its economy, its political positions, and its various national and international endeavors, if only to interact with other states and economies.
As China becomes more integrated with global markets, the risk of surprise shocks or unforeseen...
Anti-racism professor Ibram Kendi: Term ‘legal vote’ is racist
The phrase “When everything is racist, then nothing is” these days probably applies best to Boston University’s Ibram Kendi, author of the book (appropriately titled) “How To Be An Antiracist.”
It was bad enough when Kendi, the founder of BU’s Center for Antiracist Research, posited during the Amy Coney Barrett SCOTUS hearings that white people who adopt black children are “colonizers”; now, in the midst of the hotly contested 2020 presidential election, the professor says the term “legal vote” is “racist.”
In a series of tweets this past Saturday, Kendi compared the (alleged) racism of “legal vote” to that of “illegal alien,” “personal responsibility” and “race neutral.”
It’s “rarely the […] literal meaning” which makes a term racist, Kendi said, but the “historical and political context in which the term is being used.”
Kendi noted it’s no surprise areas targeted with “misinformation” about voting irregularities, such as Philadelphia and Detroit, are “where Black and Brown voters predominate.”
“No matter what GOP propaganda says, there’s nothing wrong with...
VOTE FRAUD Proven: time series analysis proves synthetic times series data. By looking at the times series logs of the ballot counting process for the entire country, we can very easily spot fraud.
This is based on their proprietary "Edison" data source which would ordinarily be impossible to access for people outside the press.
The CSV is available here:
s000.tinyupload.com/?file_id145669…
And the script to generate it is here:
What we are looking at will be time series analysis and you will see that it is extremely difficult to create convincing synthetic times series data. By looking at the times series logs of the ballot counting process for the entire country, we can very easily spot fraud.
One of the first things noticed while exploring the dataset is that there seems to be an obvious pattern in the ratio of new #Biden ballots to new #Trump ballots.
As we can see on this log-log plot, for many of the counting progress updates, we see an almost constant ratio of #Biden to #Trump. It's such a regular pattern that we can actually fit a linear regression model to it with near-perfect accuracy, barring some outliers.
How could this be possible? Is this a telltale sign of fraud?
Surprisingly, as it will be shown, the answer is no! This is actually expected behavior. Also, we can use this weird pattern in the ballot counting to spot fraud!
Here is the same pattern for Florida. We see this linear pattern again.
and again
and again
Here is the same pattern for Florida. We see this linear pattern again.
and again
and again
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