This information makes it seem that credit report disputes are a waste of time, but they're still a worthwhile effort, especially if you have
significant errors on your report.
Not exact matches
A 2013 Federal Trade Commission study found that 20 percent of consumers identified
errors on their
reports that might affect their score, and 5 percent had an
error significant enough that it could result in their paying higher loan rates.
Payments are sometimes misallocated to loans with lower interest rates, preventing borrowers from paying loans off quickly, and borrowers
report significant challenges in resolving
errors on their accounts in a timely manner.
One study found that 79 percent of all credit
reports had mistakes; one in four contained
errors serious enough to have a
significant negative impact
on scores.
Roughly one out of every 20 consumers has
significant errors in his or her credit
report, which can include information from others» accounts, records classifying paid debts as unpaid, or records listing debts paid
on time as late.
One in four Americans found at least one potentially
significant error on at least one of their credit
reports, according to a
report released by the Federal Trade Commission (FTC).
In this context, for the Administration to have released a U.S. Climate Action
Report with a chapter
on climate change impacts that identified a range of likely adverse consequences, based
on scientific
reports including the National Assessment, could rightly be seen as an anomaly and appeared to be seen as a
significant political
error by Administration allies dedicated to denying the reality of human - induced global warming as a
significant problem.
«In light of these
significant errors and omissions, the conclusions reached by S&O are not sound and should not be relied upon,» Neuendorf wrote of Oreskes»
report showing Exxon used advertisements to gloss over internal records
on global warming.
John Christy, the scientist and interviewee
on whose work this latter claim is based, seems to have forgotten that he had written in a US Climate Change Science Program
report: «This
significant discrepancy [between lower and upper atmosphere warming] no longer exists because
errors in the satellite and radiosonde [weather balloon instrument] data have been identified and corrected.
The slope I
reported in that comment is
significant based
on the F test, a t test, or just informally eyeballing the
error bars
on the slope.
While the Lex Machina data is based
on existing data from PACER, the federal court system's official electronic filing database, Lex Machina has performed a
significant amount of
error correction and tagging
on top of PACER's docket
reports.
This was a problem because I could see two
significant errors on the one credit
report I was able to pull, which meant the credit score I was seeing through my credit card company was lower than it should have been.
PROFESSIONAL EXPERIENCE PRO MACH, Roswell, NM Dec 2012 — Present Payroll Clerk • Identify discrepancies in the payroll system before they could have a
significant effect
on the
reporting systems • Introduce and implement a commissions system which decreased calculation time by 85 % • Collect and compile payroll data and ensure that it is complete and accurate • Punch in payroll information into the system using appropriate software • Review and verify the source of information to ensure accuracy • Investigate and correct discrepancies and
errors and put into place systems to ensure that problems do not reoccur • Update payroll records by managing changes in insurance coverage and loan payments • Address employees» pay - related concerns and ensure that they are resolved by keeping within the parameters of company protocols • Develop and maintain comprehensive payroll records and ensure that all related information is kept confidential • Ascertain that compliance with federal and state regulations is constantly maintained • Audit payroll functions
on a regular basis to ensure minimization of problems and discrepancies
No
significant difference was
reported between the CSA group and the comparison group
on either the parent or child domain of the PSI which may be due to a lack of power as the sample size was relatively small (N = 45; CSA group n = 23, comparison group n = 22) which increases the possibility of type II
error.