Sentences with phrase «less biased if»

And finally, and also to bring this back to the subject of AI, do you think that job interviews would be less biased if they could be conducted by an AI interviewer?

Not exact matches

Yes, I'm biased, but if you break down the benefits, the actual value of link building is more or less provable.

We can assume that all the Justices sitting on the Court today, like other humans, have their own preferences and biases about religion, but the judicial opinions of one of them, Justice John Paul Stevens, raise more than a slight suspicion that some of his actions on the bench stem from animosity, if not to animal sacrifice, at least to certain less exotic religious beliefs and practices.

It's as if they are implying that the collective scholarship of the various teams of biblical interpreters was somehow insufficient, naive, biased or at the very least less informed than their own interpretation of the word.

The thing is if you have a team that has a strong mentality and usually dominant on the pitch then the ref has little say on the true outcome and less of an influence on being biased.

So if you lose the regen due to [battery] temperature or state of charge, you have less rear brakes and you have to compensate with that, shifting [the brake bias] back to the rear.

Or does it mean that the IFS is no less biased than any other think tank?

Nice answer, but I would like to add that any such rating is based on giving numerical values to very complex realities, and such evaluations are always opinable and may be very sensible to observator bias («If in my country we do things this way then any country that does it differently is less democratic»).

If women feel that they are low status, and have suffered discrimination and bias throughout their career then they may be less likely to participate in public discussions, which will in turn affect their scientific reputation.

Yet amidst the flood of words and images, we information consumers are adapting in a predictable, if unsettling, way: migrating toward sources that share our underlying biases and prejudices, which is leading to less real dialogue and inevitably to greater polarization.

Of course, if certain scholars are disproportionately less likely to have their affiliation referenced, their blog and newspaper scores will be biased downward.

But the more fundamental assumption here is that if the student learning (i.e., test based) indicators do not correlate with the observational indicators, the latter MUST be wrong, biased, distorted, and accordingly less trustworthy and the like.

Our estimates would be downwardly biased if students with less growth potential selected into charter schools.

More specifically, the district and its teachers are not coming to an agreement about how they should be evaluated, rightfully because teachers understand better than most (even some VAM researchers) that these models are grossly imperfect, largely biased by the types of students non-randomly assigned to their classrooms and schools, highly unstable (i.e., grossly fluctuating from one year to the next when they should remain more or less consistent over time, if reliable), invalid (i.e., they do not have face validity in that they often contradict other valid measures of teacher effectiveness), and the like.

Then you can take it out and see if more / less bias is needed.

And given that you misused the term in your second post (if we use the mean on a bell curve then it means that half of the authors would sell more and half of the authors would sell less -LCB- unless we assume bias -RCB-, not «most would sell more» as you asserted), then you probably shouldn't pound too much on your authority in the topic.

Even if the SRES scenarios have some bias, it's more or less lost in the noise of other uncertainties.

In addition, even if external agendas do not bias researchers» decisions about what to publish and what to cite, the level of quality and traceability of data, methods, and code that maximizes community discovery rates is generally less than the one that maximizes the policy usefulness of research.

It would thus be nothing less that a miracle if there was NOT a bias in favour of alarmism.

If policymakers want a less biased picture, there is only one way to achieve it.

Which is funny because to me they're built in a way that makes me trust them less, which is basically: - We build them - If they don't agree with past observations figure out what would likely make them agree more and implement that change - Repeat 2 and 3 until you're done As a mathematician I'm appalled that there are educated people that think this is scientifically acceptable, and not something that lets in any number of biases.

Science is a process that if scrupulously followed, separates skepticism from cultural values and lesser biases, hence making it objective.

If you drop the stations with less anomaly, and keep the ones with more warming as gauged by their anomaly, UHI or not, and use their anomaly, now transposed to the grid stations dropped, you may have problems and a biased warming.

If you start thinking things through more clearly and with less bias, it is possible that within the next couple of weeks you might write a reasonably logical post — which would be considerably sooner than WHT would predict.

Not only that, but there is increasingly compelling evidence that the recent short - term slowdown in the surface temperature record was much less pronounced than previously estimated, if rapid Arctic warming is fully reflected, along with potential biases from the changing mix of sea surface temperature measurement sources in recent years.

If properly implemented, the guidelines should result in fairer hearings and less biased decision - making when queer refugees make claims.

This can prove to be even more dangerous than bias generated from human findings because there are so many educated, not so educated and uneducated who find «techno» -, «machine» -, «computer» - generated to be more intelligent and less fallible than anything human and will hold this result to be truth the whole truth and nothing but the truth especially if supported and propagated by the leaders they choose to follow who use such information to distract from the lack of viable solutions to any problems that may plague their followers.

And it will be truly meaningless in preventing the nonsense of the past if the ABA changes to a «less intensive» (read: what it was in 2008) auditing system after a few exercises in confirmation bias.

If respondents with depressive symptoms are less likely to participate in surveys and low walkable neighbourhoods increase the risk of depressive symptoms, 19 the observed associations between environmental attributes and depressive symptom outcomes may have been attenuated (biased downwards).

The distribution of effect sizes should be shaped as a funnel if no publication bias is present, since the more numerous studies with small sample sizes are expected to show a larger variation in the magnitude of effect sizes than the less numerous studies with large effect sizes.