Sentence examples for avoid predictions from inspiring English sources

The phrase "avoid predictions" is correct and usable in written English.
You can use it when advising someone to refrain from making forecasts or assumptions about future events.
Example: "In this analysis, it is crucial to avoid predictions and focus on the data at hand."
Alternatives: "refrain from forecasting" or "steer clear of assumptions".

Exact(6)

An attempt was made to correct the quasichemical model to avoid predictions of negative configurational entropy when long-range order is impossible as in liquids.

He called for closing polls nationwide at the same time, to avoid predictions by television networks as to which candidates are winning in Eastern states, even while people are still voting in Western states, a proposal that a spokesman for Mr. Schumer said would also be considered.

I try to avoid predictions.

In order to avoid predictions of a retail apocalypse, Branston said stores have to focus on experiences rather than products — it's something she argued Apple is also doing by expanding the programming in Apple Stores.

As a general rule, I try to avoid predictions about what future poll results, but the Gallup analysis provides some helpful context.

"Avoid predictions whenever possible.

Similar(54)

Recent signals by FASB proposing to avoid "prediction" in future revisions to the contingent liability accounting standard, FAS 5, bode poorly for the prospect of sound management and disclosure of these issues.

Scriven goes on to imagine, "Avoider", whose dominant motivation is to avoid prediction.

However, for efficient runtime decision making, it is essential to avoid prediction models which might require intensive computation, frequent updates to their parameters, or (off-line) training.

ANN reduces interference and noise and has good nonlinear conversion capability to effectively avoid prediction error.

As is usually the case with genetic association studies, assessing the potential impact of identified mutations is of crucial importance, and in order to avoid prediction biases it is essential to compare the prediction results.

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