But when it catches a law school obviously
using false data to troll for students, LST does call for heads to roll.
That means Goodreads is
using false data to advertise its website, otherwise known as FRAUD.
People who know very little about buying apartments
used this false data as an excuse to tell me not to buy them.
3) More misinformation, deceit and attempts to mislead by Merrit Clifton — Clifton has long been a hater of «pit bulls» and continues to
use false data to try to justify his hatred.
These so - called scientists have
used their false data to cause politicians in many countries to create or change legislation.
Not exact matches
Please be aware though that there were many cases in the past where... sites would
use «
false and manipulated»
data instead of Live Trades and Proof!
They
use False Discovery Rate (FDR) to control for
data snooping bias, such that 90 % of the equally weighted best rules in FDR - corrected portfolios significantly outperform the benchmark.
Specifically, Defendants made
false and / or misleading statements and / or failed to disclose that: (i) the Company was engaged in predatory lending practices that saddled subprime borrowers and / or those with poor or limited credit histories with high - interest rate debt that they could not repay; (ii) many of the Company's customers were
using Qudian - provided loans to repay their existing loans, thereby inflating the Company's revenues and active borrower numbers and increasing the likelihood of defaults; (iii) the Company was providing online loans to college students despite a governmental ban on the practice; (iv) the Company was engaged overly aggressive and improper collection practices; (v) the Company had understated the number of its non-performing loans in the Registration Statement and Prospectus; (vi) because of the Company's improper lending, underwriting and collection practices it was subject to a heightened risk of adverse actions by Chinese regulators; (vii) the Company's largest sales platform and strategic partner, Alipay, and Ant Financial, could unilaterally cap the APR for loans provided by Qudian; (viii) the Company had failed to implement necessary safeguards to protect customer
data; (ix)
data for nearly one million Company customers had been leaked for sale to the black market, including names, addresses, phone numbers, loan information, accounts and, in some cases, passwords to CHIS, the state - backed higher - education qualification verification institution in China, subjecting the Company to undisclosed risks of penalties and financial and reputational harm; and (x) as a result of the foregoing, Qudian's public statements were materially
false and misleading at all relevant times.
If you actually do the REAL research you will find that the conservative groups twisted all the facts and the
data they are
using is
false.
Using data from even January to try an accurately show how good Michigan is going to give you a
false sense of what they are.
We must ask congress to determine if USA Football knowingly lied in the May 13, 2016, congressional hearing
using data they knew was
false from an earlier report.
«Any claims that voter
data were
used from another source to support the victory in 2016 are
false.»
Though they can't tell for sure from the
data, the researchers say this suggest that patients who had the thallium scans were sent for further testing
using the invasive angiography technique because the initial scan gave a
false positive for serious blockage.
Although their analysis does not include
data after 2004, the researchers note that they doubt that the
use of DNA identification technology would have much impact on
false conviction rates — because DNA evidence is primarily
used in cases such as rape rather than homicide.
They
used additional statistical techniques to correct for
false positives in the
data, which left them with several hundred trans - eQTLs.
In their study (1), Sebastiani et al.
used a number of different genotyping platforms and neglected to perform
data quality - control steps, which resulted in their reporting several
false - positive single - nucleotide polymorphism (SNP) associations.
The short note, by Editor - in - Chief Bruce Alberts, acknowledged that the study's authors «
used a number of different genotyping platforms and neglected to perform
data - quality control steps, which resulted in their reporting several
false - positive single - nucleotide polymorphism (SNP) associations.»
We
use the low overall
false positive rate among Kepler multis, together with analysis of Kepler spacecraft and ground - based
data, to validate the closely - packed Kepler - 33 planetary system, which orbits a star that has evolved somewhat off of the main sequence.
The transit signals were detected in photometric
data from the Kepler satellite, and were confirmed to arise from planets
using a combination of large transit - timing variations, radial - velocity variations, Warm - Spitzer observations, and statistical analysis of
false - positive probabilities.
We distill these candidates into sets of 104 validated planets (57 in multi-planet systems), 30
false positives, and 63 remaining candidat... ▽ More We present 197 planet candidates discovered
using data from the first year of the NASA K2 mission (Campaigns 0 - 4), along with the results of an intensive program of photometric analyses, stellar spectroscopy, high - resolution imaging, and statistical validation.
A combination of sequencing
data from two different platforms, as suggested by Nothnagel et al. [5] for the reduction of
false positives in newly identified SNVs, is only of limited
use for combining the strengths in coverage of different genomic regions.
Data filtering criteria based on the cross correlation score (Xcorr) and delta correlation (ΔCn) values along with tryptic cleavage and charge states were developed using the decoy database approach and applied for filtering the raw data to limit false positive identifications to < 1 % at the peptide level [22]--[
Data filtering criteria based on the cross correlation score (Xcorr) and delta correlation (ΔCn) values along with tryptic cleavage and charge states were developed
using the decoy database approach and applied for filtering the raw
data to limit false positive identifications to < 1 % at the peptide level [22]--[
data to limit
false positive identifications to < 1 % at the peptide level [22]--[24].
For the LTQ - Orbitrap Velos
data, the distribution of mass deviation (from the theoretical masses) was first determined as having a standard deviation (σ) of 2.05 part per million (ppm), and a mass error of smaller than 3σ was
used in combination with Xcorr and ΔCn to determine the filtering criteria that resulted in < 1 %
false positive peptide identifications.
Results: We validate our approach
using data with known copy number, identifying the vast majority of aneuploidies with a low rate of
false discovery.
Thus, he offers only a
false choice between
using data and supporting outstanding teaching:
Barely more than one third said it was
false that the federal government requires all states to
use the Common Core standards (it does not), just 15 percent said it was
false that the federal government will receive detailed
data on the test performance of individual students in participating states (it will not), and fewer than half said it was true that states and local school districts can decide which textbooks to
use under Common Core (they can).
Atteberry, Loeb, and Wyckoff (2012) find similar
false positives
using data from New York City.
Despite this knowledge, a
false dichotomy exists between proponents and opponents of
using student - growth
data to evaluate teachers.
Unfortunately, those protecting the status quo
use a narrow set of
data to create a
false narrative.
The production of «
data» that is
false or cherry - picked, and then
used to justify reforms.
The algorithm
uses the last 1000
data points to not only identify sales, but also try and throw out
false positives (when sales rank changes a small amount not due to sales but due to Amazon adjusting the «list» of books being ranked in that category).
Both Amazon's and goodreads» APIs for books are frauds based on
false data and both sites violate the FTC regulation against
false testimonials for products neither bought or
used.
The ability to file credit report disputes is provided to help you ensure your credit report isn't full of
false data that can be
used against you in lending decisions.
Like many
using these
false advertisements, its website omits a phone number and physical address — a bad sign, since that means you will have to provide your personal
data before even speaking with a member of its organization.
The re-sampling process
used to generate the 50
data sets was done to minimize exposure to
false positive declarations of significant departures from an OR of 1.0.
Response: < / b > von Storch et al purport to test statistical methods
used to reconstruct past climate patterns from «noisy» proxy
data by constructing
false proxy records («pseudoproxy» records) based on adding noise to model gridbox temperature series taken from a climate simulation forced with estimated past radiative forcing changes.
von Storch et al purport to test statistical methods
used to reconstruct past climate patterns from «noisy» proxy
data by constructing
false proxy records («pseudoproxy» records) based on adding noise to model gridbox temperature series taken from a climate simulation forced with estimated past radiative forcing changes.
False data used to trick people is not flawed.
This link discusses some of the claims that have been made regarding reliability of wind and then shows them
false using data from those operating the wind farms.
What I had in mind is research on testing models
using history
data and figuring out how to avoid
false conclusions due to unintentional tuning.
He acknowledges the method he
used can not be justified for the
data he's examining, yet he claims it can show something «is entirely
false.»
That's why he's defended the reprehensibly indefensible: His collusion and conspiracy to produce an entirely fabricated misrepresentation of historical weather
data, which was
used time and again to foist upon the world a KNOWINGLY
FALSE history of climate.
RRS have created an entirely
false impression by
using clearly inadequate, and cherry picked,
data.
The EPA models have all been proven
false using historical and current
data, and thus there is no scientific underpinning for this jobs - killing, energy - crushing decision.
They both developed from
false assumptions,
used manipulated
data and science, which they combined into computer models whose projections were, not surprisingly, wrong.
The real question here, especially after the scandals of the tweaked
data, the lockout of contrary input, the
use of glacial statistics that were entirely
false, the unforgivable falsification of the «hockey stick»... the real question is: Can we call AGW good, established science?
The point of all this is that Alexi's assertion, «I have proven to you with layman numbers that you have no
data of adequate quality from past proxies, therefore your argument is
false, and can not be
used», is
false.
Yesterday I posted Facebook's evidence showing that the central allegation of the Observer / Channel 4 conspiracy theory — that Vote Leave
used the infamous
data obtained by Cambridge Analytica — was provably
false.
Technology has long been
used to improve user comprehension of
data, but also is prone to oversimplification of the
data and a propensity for
false positives due to artificial artifacts.
Amazon says it disagrees with the findings of this report that Greenpeace
used «
false assumptions on AWS operations and inaccurate
data on AWS energy consumption.»