Sentence examples for drastically overestimated from inspiring English sources

Exact(8)

The problem, Mr Hansen continued, was that the government had drastically overestimated the benefits, and underestimated the rush of migration that would follow.

Other researchers dismissed the team's conclusions, saying the team had drastically overestimated the rate of oocyte death.

This suggests that methane emissions from the wood fraction of landfilled waste in Ireland could be drastically overestimated; potentially by a factor of 56.

The news that Pruitt's EPA wants to drastically lower its estimation of the social cost of carbon comes the same week the administration announced plans to repeal the Clean Power Plan, claiming Obama's EPA had drastically overestimated the benefits of the plan.

Even estimated branch lengths > 1 substitution/site (drastically overestimated in simple simulations) were quite accurate.

It is difficult to find a clinical trial in which Z-drug takers drastically overestimated how long they slept.

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Similar(52)

With baseball's July 31 trading deadline approaching, and teams all over the majors assessing whether they should swing a win-now deal for the playoff run, many will drastically overestimate their chances of coming back.

"I keep wishing I could still play soccer … and I would love to be invisible so I could go out in public and live a normal life everywhere I go" – in an interview with Vanity Fair, Pelé, who clearly didn't see Kevin Bacon in Hollow Man, drastically overestimates the extent to which an invisible man would be able to live a normal life.

Failing to do so may drastically overestimate the expected outcomes of offsets and thus result in large net biodiversity losses.

It is well established that raw sequencing data would drastically overestimate the number of unique clones and the only way to fully overcome this would be to apply sophisticated experimental and bioinformatic methods for error correction (see Shugay et al. [ 21 ] for more information).

Truth be told, people drastically overestimate the impact of changes in income on their well-being.

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