Sentences with phrase «on fraudulent data»
The original 1998 Lancet article purporting to tie vaccines to autism was found to be based on fraudulent data and retracted; its lead author, Andrew Wakefield, has been barred from practicing medicine in the U.K. «My fear is that people will think that we have not done these studies.
https://www.scientificamerican.com/ Not exact matches
Court documents made public late on Tuesday show that Fresenius (NYSE: FMS) dropped its acquisition of Akorn after uncovering evidence that the generic drug developer submitted fraudulent data to the U.S. Food and Drug Administration for at least six different drugs dating back to 2012.
Gov. Andrew M. Cuomo said on June 30, 2017, that New York State would not comply with the request for voter data by the voter integrity commission created by President Donald Trump to examine what he said were millions of fraudulent voters in the 2016 election.
DisputeValet software will enable you to find, dispute, correct complex errors, locate fraudulent claims, and identify unverifiable data reported on your clients credit reports.
According to Koskinen, roughly 8,000 fraudulent tax refunds were issued because of the IRS Data Retrieval Tool on the FSA website, which equated to $ 30 million.
In the event that hackers got their hands on sensitive transaction information, they wouldn't be able to make fraudulent purchases with stolen credit card data.
A study based on non-existent and / or fraudulent data, of which
The source document, the Intergovernmental Panel on Climate Change (IPCC) 2007 Fourth Assessment Report (AR4), has been under harsh scrutiny over the past weeks for a number of blunders, including the Climategate scandal, bogus claims about Himalayan glacier melt, false assertions The Netherlands are drowning, deceptive hysteria over conditions in the Amazon, exaggerations of vanishing polar ice caps, and fraudulent cover - up of Chinese temperature data.
On a broader point this contribution by BBC just diverts attention from the essence of climategate, which was the fraudulent distortion and elimination of basic data and the manipulation of the peer - review process.
The fraudulent representation of scientific data is going to be the death knell of AGW and what is written on the headstone.
No - one here asked you to claim, based on your 46 years of experience as an aeronautical engineer, that you knew better than the actual scientists how to interpret their data so that it wasn't biased or «fraudulent.»
Today you can have contradictory statements which are both right, the alchemy of fake data supporting fraudulent methods yields sound evidence and even «empirically verifies» it, forged documents reflect deeper truths and if you are still confused, doubtful or depressed, just take Connolley's word on faith, delve into the ScepticalScience blog and rest assured that soon all this troublesome strife will be over when David Suzuki bans anything that contradicts the consensus.
Governments all around the world must wake up and prepare for such events and stop following fraudulent «science» which relies on corrupt data, because young people in particular will pay the price for following the current climate propaganda which is there to justify taxing ordinary people for their energy usage.
Now the general public is on the hook to pay down a deficit generated from fraudulent data and «scientists» that strung them along all these years not including the monies spent on «studies» and legislation that went thru the roof and the time and money on them.
The climate change mafia, led by Dr Rajendra K Pachauri, chairperson of the Intergovernmental Panel on Climate Change (IPCC), almost pulled off the heist of the century through fraudulent data and suppression of procedure.
We have seen the unedifying spectacle of scientists refusing to share their data, fiddling their results, and resorting to ad hominem attacks on those who have exposed their work to be fraudulent.
This explains fraudulent hockey sticks, ferocious concealing of data and algorithms, and various other shenanigans on which majority opinion rests.
As discussed in our previous chapter on data breach nightmares, they have taken a variety of forms, ranging from phishing scams and social engineering attacks (e.g., using e-mail to trick attorneys to visit a malicious web site or to be lured into fraudulent collection schemes for foreign «clients») to sophisticated technical exploits that result in long term intrusions into a law firm's network to steal information.
Nowadays, staying ahead of crooks and criminals intent on fraudulent activity often means collecting, storing and disclosing the penultimate type of sensitive personal data available: basic biometrics.
Because insurers have no choice but to base their pricing on demographic data, those who have never filed a fraudulent claim get lumped in with those who have, and all those losses get rolled into the amount that the companies have to recapture with the premiums they charge.
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