Sentence examples for expert bias from inspiring English sources

But we must insure that it is free of expert bias.

For governments this natural tendency towards 'lens of now' thinking is exacerbated by expert bias and groupthink – the tendency of experts to develop over-confidence and to underplay uncertainty precisely because they are experts – hence poor old Irving Fisher's statement Stocks have reached what looks like a permanently high plateau immediately before the Wall Street crash of 1929.

We here propose and describe a strategy based on an automated lexical modular methodology to overcome rapidly evolving content and classification problems, which may otherwise accommodate poor quality of data and expert bias, with potential dire consequences for interpretation, decision and strategy.

Thus we can conclude that personal relations between experts potentially carries the risk of expert bias.

In addition, we examine the effect of expert bias using different number of participants (50, 100, 200, 500), number of subject experts (2, 3, 6, 16), and types of expert bias (unbiased, moderately biased, highly biased).

The simulation process for one type of expert bias takes about two days to run on an Intel Core i7 3.40 GHz computer with 32GB of RAM.

The back-propagation neural network is used to predict the value of a requirement in order to reduce the extent of expert biases and make the PHandler efficient.

By applying the scientific method to knowledge itself, Verifier has proved adept at exposing gaps in logic that can result from expert biases and mistakes, gaps that can invisibly skew their research results.

Across three types of expert biases, results show that having more than six experts does not contribute to any additional gain in the efficiency of OBID.

Although not discussed in the article, the average squared bias for the item-to-domain correlation estimate also is examined across different expert biases.

The continuous feedback throughout the development process on problems concerning expert biases in terms of difficult words and wordings emphasized how difficult it was for the wider group of researchers to let go of expert language and underlying paradigms.