Sentence examples for inflate information from inspiring English sources

Exact(1)

Because people will inflate information consistent with their point of view and reject or ignore facts that challenge their beliefs, scientists need to better understand their audiences and their concerns in order to be heard, he said.

Similar(59)

Unbeknown to drivers, systems built into cars already record, for instance, when and where airbags inflate; this information is used after a crash to find out exactly what happened.Some analysts say that within three years there will be telematics devices in two out of every three new vehicles in America, compared with only one in 20 in 2000.

The increase in sample number and spectral complexity (inclusion of MSMS spectra) greatly inflates the information to be processed.

A20 New England Fights for Bases Officials from five New England states asked the independent commission analyzing the proposed military-base closings to spare their states, saying the Pentagon used faulty information, inflated savings and incomplete criteria.

The error variances would be higher than when using dEBV, but the value of σa would not be inflated, because family information does not contribute to own phenotype (in contrast to dEBV phenotypes).

With the addition of genomic information, inflated reliabilities have been reported regardless of the method used to blend genomic and traditional information: the selection index approach [ 2, 14], the single-step approach [ 4], or the current approach, which was initially proposed by Ducrocq and Liu [ 6].

Practitioners and researchers must also be sensitive to the potential for studies of genetic risk information to inflate its ability to motivate health behavior changes by enrolling self-referred populations.

News reports said the president, and to some degree Admiral McDonald, had disseminated information that inflated the number of Cuban military personnel on the island.

The fact that the Pre-diagnosis data was a subset of the full dataset meant that applying the All-data model to Pre-diagnosis observations would have artificially inflated accuracy, due to information leakage between training and test data.

Collecting anthropometric measurements as well as self-reported data prior to disease occurrence minimised the possibility of associations being inflated by recall or information bias.

Because a HR cannot be calculated for the latter, they were excluded, but of course 0 versus 0 is equal hazard (and not zero information) thus inflating the final difference.

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