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.
The use of mock products reduced
the potential bias from preconceived notions about known brands.
That meant there was less
potential bias from these factors, Cook explained.
Not exact matches
To avoid any regional
bias, we spoke to people throughout the beer industry —
from brewers to hop farmers — to get their take on areas that are showing a lot of
potential, though may still be under - the - radar on a national basis.
When speaking with your clients about international opportunities and the
potential benefits of diversification, keep in mind that baby boomers are particularly at risk
from the home
bias.
This nascent technological movement has the
potential to decentralize < br / > control, remove third - party intermediaries
from public news access, prevent < br / > censorship and promote
bias - free content.
Views are particularly polarised in the United States, with interventions and costs of hospital births escalating and midwives involved with home births being denied the ability to be lead professionals in hospital, with admitting and discharge privileges.5 Although several Canadian medical societies6 7 and the American Public Health Association8 have adopted policies promoting or acknowledging the viability of home births, the American College of Obstetricians and Gynecologists continues to oppose it.9 Studies on home birth have been criticised if they have been too small to accurately assess perinatal mortality, unable to distinguish planned
from unplanned home births accurately, or retrospective with the
potential of
bias from selective reporting.
The results of this study should be interpreted with caution because the breastfeeding team collected breastfeeding outcome data
from the intervention group, thus introducing the
potential for
bias.
More than 100 prospective jurors filled out questionnaires yesterday, as prosecutors and defense lawyers sought to identify
potential bias or conflicts that might disqualify people
from serving next week in the corruption trial of ex-Assembly Speaker Sheldon Silver.
On that front the Survation poll is pretty positive about Jeremy Corbyn with people saying he came across as more trustworthy and in touch than his rivals (though such polls are always a bit tricky because of the choice of clips — Survation tried to iron out any
potential biasing effect by having clips
from each candidate being interviewed on the Marr show, so they were all interviews, all the same setting and same interviewer... but even then you ended up with two candidates defending their position on the welfare bill, one talking about the EU referendum and one talking about rail nationalisation.
Last week, more than 100
potential jurors filled out a 15 - page questionnaire that was designed to highlight
potential bias or conflicts that might disqualify a person
from serving in the case.
Universities are particularly sensitive to university space, resources and / or faculty being involved in outside activities during their working hours, and also for
potential conflicts of interest, in which your university research could be
biased by receiving outside funding
from an inappropriate source, as when a drug company has a vested interest in the outcome of your independent research.
In reviewing the fur trapping data
from two U.S. and six Canadian jurisdictions, Newsome and Ripple eliminated
potential sources of
bias such as records
from fur farms that raise foxes.
Using a
biased regulatory analysis, the agency excluded the possibility of an act of terrorism as well as the
potential for damage
from a fire beyond 50 miles of a plant.
Various manipulations of the data showed that two major
potential confounding factors, SNP ascertainment
bias and weak selection at presumably - neutral sites, had little influence on the inferences
from their data set.
In order to avoid a
potential bias caused by selection of a particular referent subject, subject - specific SI maps
from all the subjects are summarized as a weighted average, with the Jaccard index for each subject as the weight.
After accounting for
potential bias, the researchers concluded that the gender gap for drinking fell by 3.2 percent with each successive five - year generation, but was steepest among those born
from 1966 onward.
Setting the fact that the
bias from big pharma (which we know include / control / owns dairy industry etc.) is real and even documented and not just
potential, how can you compare the «
potential»
bias of somebody who has very high economic interest in having a specific result coming out of the study with that of somebody who is simply following a related social, scientific, religious, pratical etc. pattern?
Of 2,666 students in the original SCSF sample, the researchers obtained information for 2,637 students, or 99 % of the cohort, «greatly reducing the
potential for
bias due to attrition
from the evaluation,» they note.
Importantly, our null effect estimates
from the random experiment differ substantially
from those found
from an analysis of CPS data, raising concerns about the
potential for selection
bias in non-experimental estimates of returns.
This is the focus of a new report [published in the Australian Journal of Education]
from researchers at the University of New England, which looks at different types of
potential bias in grading including gender, race and physical attractiveness.
This in turn prompted Mr. Goldhaber and Ms. Gordon to rebuke and state that it was imperative that the public understands what type of research was informing said policy claims and where and
from whom educational institutions and think tanks receive funding
from as there is greater
potential for underlying evidential
biases.
OK, I'm a bit
biased when it comes to Nebraska (my home state) and people
from there, but I believe this young guy named Justin Wayne has the
potential to be a national leader on education reform.
Borgonovi and Achiron offered this advice: «Training teachers to recognize and address any
biases they may hold about different groups of students — boys and girls, socio - economically advantaged or disadvantaged students, students
from different ethnic or cultural traditions — will help them to become more effective teachers and ensure that all students make the most of their
potential.»
The authors explain that although this may eliminate the concern with the CREDO study about family motivation, peer influence is still a
potential bias, with lottery winners surrounded by classmates
from similarly motivated families, while lottery losers are educated with many peers who did not apply to a choice school, and hence may not be as motivated (72).
Realizing that Success Academy's own marketing materials are heavily
biased, we also sought news articles, employee reviews, and independent reports that highlight
potential counter-narratives
from teachers, parents, and other stakeholders.
• Revised ZF 6HP26 transmission with «Quickshift» system that cuts shift times by 50 % and enables double downshifts • New 40/60 rear -
biased torque split for the all - wheel drive system reduces understeer when powering out of bends and provides for better modulation of line and attitude by «throttle steering» • Retuned Continuous Damping Control (CDC) system, stiffer suspension bushes and uprated rear anti-roll bar benefit body control, steering response, turn - in and balance • Increased 50 mm rear track improves grip and stability • Lightweight, 20 - inch, 10 - spoke alloy wheels offer 10 kg (22 lb) weight saving per car, reducing unsprung and rotating mass and improving brake • 275/35 ZR20 Pirelli Ultra High Performance tyres • Advanced ESP system fully exploits
potential of the most powerful W12 engine and improved chassis • Standard - fit carbon - ceramic brakes provide fade - free braking and contribute a 20 kg (44 lb) reduction in rotating and unsprung mass
from the front axle.
This book provides new insights into the nature of political
bias with regards to evidence and critically considers what an «improved» use of evidence would look like
from a policymaking perspective.Part I describes the great
potential for evidence to help achieve social goals, as well as the challenges raised by the political nature of policymaking.
Plus it's a highly effective way to separate the (quantitative) stock valuation process
from the (more qualitative) stock selection process — and when the companies stand revealed, investors can examine (individually & in aggregate) their stock valuation process &
potential biases in a far more detached and objective fashion.
Personally, based on the lack of numbers of cases for comparison, lack of discussion of limitations and
potential bias I would conclude very little
from this study.
Only one member
from each team, usually in a leadership role, filled out the survey, resulting in a
potential selection
bias.
«However, compensation for a different
potential source of
bias in SST data in the past decade the transition
from ship to buoy - derived SSTs, might increase the century - long trends by raising recent SSTs as much as 0.1 °C, as buoy - derived SSTs are
biased cool relative to ship measurements»
Another source of short - lifetime
bias in the community probably comes
from a calculation used to compare the greenhouse consequences of different gases, called the Global Warming
Potential (GWP)[13].
The IPCC range, on the other hand, encompasses the overall uncertainty across a very large number of studies, using different methods all with their own
potential biases and problems (e.g., resulting
from biases in proxy data used as constraints on past temperature changes, etc.) There is a number of single studies on climate sensitivity that have statistical uncertainties as small as Cox et al., yet different best estimates — some higher than the classic 3 °C, some lower.
S1 which removed alternatively (a) all tree - ring data or (b) 7 additional long - term proxy records associated with greater uncertainties or
potential documented
biases (showing the temperature reconstruction was robust to removal of either of these datasets), we here removed both data sets simultaneously
from the predictor network (Fig.
Separate
from the
potential northern
bias, are you confident that jogs similar to the one recorded in the last century (a well - instrumented century) could not be hidden in the «smear» of millenniums of proxy [indirect] temperature data?
When they did this, they discovered some
potential instrument
bias problems with the recent dataset, which seem to have resulted
from the recent transition of the in - situ ocean sounding instruments
from the old Expendable Bathythermographs (XBT) system, which has a small warm temperature
bias, to the new Argo system, which has a small cold temperature
bias in a subset of the instruments.
sunshinhours1, Why don't you take the data
from the same starting month to the same ending month to remove
potential seasonal
bias in the trends?
If you (or anyone else) could explain to me whether there is a criterion that differentiates my posts about
potential bias in your (or other posters») analysis
from other posts that also focus on
potential bias in your (or other posters») analysis — outside of starting orientation or the fact that they elicit more responses — I will heretofore make an effort to respect that criterion as exclusionary.
Please note, questioning the existence of motivated reasoning is not the same as questioning motivation And certainly it is logical to question the
potential for motivated reasoning
from those who are support «conventional wisdom» --(which in contrast to the
potential of your own
biases — you seem willing to offer as the operational rationale for the reaction among those who disagree with your findings).
Any future metrics of model behaviour should take account of
potential biases arising
from this region of the atmosphere, especially if the stratosphere is poorly resolved as is the case in HadSM3
Re «Gixxer Boy» comment above, since you have widespread acceptance for impartiality (however grudging and qualified
from the Warmists) it it possible that you could act as a collecting and reporting body for compiling conflicts of interest and
potential bias among AR5 authors?
If however I move nearer to Earth and allow my domain knowledge more freedom to assist, which of course risks
bias because all knowledge about a conflicted domain comes with
potential and in fact (on aggregate) likely
biases from both sides, my opinion is different.
The scenario encapsulates so much BS
from assumptions, ignorance of observational trends, rational action on big and apparent dangers, and then there is the data sets, the models, the
potential for
bias, did I mention the assumptions.
A rigorous check on the
potential introduction of
bias from a failure to consider vulnerability reduction in normalization methods is to compare trends in geophysical variables with those in the normalized data.
There is a
potential for
bias in these matters
from those looking for and making adjustments to look harder for those in the direction that might favor their own views on AGW in this case.
We observe a cooling trend
from 1 to 1800 ce that is robust against explicit tests for
potential biases in the reconstructions.
We can estimate the
potential magnitude of the ice mass
biases by noting that if the average velocity prediction
bias of ~ 5 mm / yr evident in Figure 5 is developed over ~ 2 × 10 ^ 6 km2, an area somewhat smaller than that of West Antarctica, this would cause an apparent but spurious ice loss of ~ 33 Gt yr - 1, which is a significant fraction of all published ice mass rates derived
from GRACE [Velicogna and Wahr, 2006; Chen et al., 2006; Ramillien et al., 2006; Sasgen et al., 2007a].
However, compensation for a different
potential source of
bias in SST data in the past decade — the transition
from ship - to buoy - derived SSTs — might increase the century - long trends by raising recent SSTs as much as ~ 0.1 deg C, as buoy - derived SSTs are
biased cool relative to ship measurements [10 — Worley et al 2005]
«Despite the wealth of metadata that is now available, it is not possible to estimate the
biases in an exact manner so an attempt has been made to assess the
potential uncertainties in the
biases that arise
from assumptions made in the process of aggregating the information.