Sentence examples for are missing the risk from inspiring English sources

Suggestions(1)

The phrase "are missing the risk" is grammatically correct and can be used in written English.
It can be used when discussing a situation where potential dangers or uncertainties have not been acknowledged or considered.
Example: "In our analysis, we found that many investors are missing the risk associated with market volatility."
Alternatives: "overlooking the risk" or "neglecting the risk".

Exact(1)

Where either or both of them are missing, the risk of accidents increases.

Similar(59)

But we're missing the risk in China's rise.

"From 1995 to 2000, the real risk was missing the rise," he said.

In focusing on summit declarations and promises of far-reaching reforms of EU institutions, investors are missing the real risk: the collapse of public support for, or at least acquiescence to, the austerity policies required to work down heavy debt burdens – and for the governments pursuing these policies.

"There is a risk that HMRC are missing the big picture.

The first risk is missing the ball altogether or bunting foul.

This problem has two components, since there are missing data in the CVD risk factors included as covariates in the Cox models, and also non-response at each of the three follow-up time-points.

Three climbers have died and two are missing on Everest, underlining the risks involved as mountaineers return to the world's highest peak after two seasons marked by disasters.

During time periods when parameters needed in the risk equation are missing for an individual, the parameters are filled by an imputation model using group level information or interpolation.

The end-hour ICP manually recorded by experienced nurses is reliable and provides a robust description of the general ICP trend, but on the basis of this measurement alone, a number of episodes of HICP (some of long duration) may be missed, with the risk of underestimating the severity of a patient's injury and the intensity of treatment required.

If more than 20percentt of the data were missing, we considered the risk of bias as high.

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