Sentence examples for exaggerated prediction from inspiring English sources

The statement in the second paragraph of the article that "not one" person who bought an Apple, Inc. iPhone on the first shipment date "will still be using an iPhone a month" after the two-year anniversary of that day is an exaggerated prediction of consumer behavior pattern and is withdrawn.

Since sequence redundancy can lead to exaggerated prediction accuracy, we eliminated redundant sequences using the program BLASTCLUST [21].

Instead of succumbing to fear tactics and exaggerated predictions, we should instead invest in research and technology that can help us better understand the effects of climate change".

For exaggerated response prediction, formal multifactor prediction models have not been published, as most of the attention has focused on single-test predictors, such as AMH and AFC (Broer et al., 2011).

The bad news is that 40 years of success have not stopped the proliferation of exaggerated doomsday predictions.

Predictable predictions?

But lawyers for the state argued that these predictions were exaggerated and that the measures served the state's interest in "protecting fetal life".

One large recipient of its cash is the Centre for Strategic and Budgetary Assessments, a think-tank that is led by Mr Krepinevich and once employed Mr Watts.The less starry-eyed claim that Mr Marshall hedged his predictions and exaggerated threats.

ReprintsAgainst this backdrop, predictions of the imminent decline of non-OPEC oil production turned out to be greatly exaggerated: production rose about 1m b/d in 1997, to 44m, and will probably rise as much this year.

The possibility of running an in silico expression analysis across 18 minipig tissues, for instance, allows the prediction of tissues where exaggerated and adverse pharmacologic effects of new drugs at their target so called on-target toxicities are possible.

Chin et al. [16] propose an exaggeration mapping (EM) method that transforms the facial motions in exaggerated motions and use them to predict the Myers-Briggs Type Indicator (MBTI) personality traits with an overall prediction accuracy of 60%.