Once you get past the (semi-sensational) headline and into the post, Kevin makes a good observation about not taking Google Analytics
data at face value.
As an aside: all those oh - so - skeptical people seem to be prepared to take the temperature
data at face value when even the NASA says that there are lots of problems with the measurements which were only meant to be trial - runs.
So, we can't simply take the raw
data at face value.
It would be if those experts just took
that data at face value.
I think a natural reply to both studies, even if one takes
all data at face value, is «correlation is not causation».
Why not take
the data at face value and see where it leads?
Even if one were to accept the agency's adjusted and manipulated «warmest on record» Goddard Institute of Space Studies incomplete surface temperature
data at face value, NASA's claims about 2014 still make little sense.
You should be happy we even acccept
that data at face value, with warts and all.
However taking Harrison and Stephenson's
data at face value, the cloudiness as measured by the DF is completely independent of the CRF at values above 3600 (x100) per hour.
However, if a response only looked to me like it MIGHT have contained an error or two (such as a misplaced decimal point), I went ahead and took that author's reported
data at face value.
The nonexistent jobs crisis is a reminder of the dangers of taking government
data at face value and using them for unintended purposes.
We do not, however, take
these data at face value.
Not exact matches
Remington also has $ 250 million of bonds that come due in 2020, and are trading
at a significant discount to their
face value at 22 cents on the dollar, according to Thomson Reuters
data, indicating investor concerns about repayment.
Taken
at face value, the
data for self - employed borrowers make no sense.
Bonds issued by offshore unit HNA Group International were bid
at 96.5 percent of
face value, Eikon
data showed on Jan. 12.
She accepts nothing
at face value and does not have any particular agenda — just goes where her
data and solid scientific logic lead her.
Taken
at face value, the
data in Table 3 rip the heart out of that advice.
As for the U.S. financial system - particularly major banks - I am continually perplexed by the juxtaposition of tens of millions of underwater mortgages and millions of delinquent and unforeclosed homes, coupled with a set of FASB accounting rules (revised
at the height of the recent crisis) that allows these debts to be carried
at face value upon the discretion of the banks that report the
data.
At Euclidean, we have always referenced this
data in context of the challenges that
value strategies
face given that there have been (and will continue to be) high profile investments that turned out to be
value traps.
So while we don't believe that the record high gold / XAU ratio can be taken entirely
at face value, there's no question that it is elevated even on a cyclical basis (that is, even allowing for a gradual structural increase over time), and there's no question in the
data that cyclically elevated gold / XAU ratios have been associated with strong subsequent gains in the XAU index over a 3 - 4 year period on average, though certainly not without risk or volatility.
While the
data from Steam Spy was helpful to those who know how to crunch their numbers, it was misleading to those who took it
at face value.
At face value, the satellite
data is supported by weather balloon
data, covers a much larger area of the globe than the surface - based
data, and, as you pointed out, is free from the urban heat island effect and other potential flaws of surface measurements.
«People like Jim Hansen and Gavin Schmidt who sit up
at the top of the climate food chain and take
data from these weather stations
at face value»...
People like Jim Hansen and Gavin Schmidt who sit up
at the top of the climate food chain and take
data from these weather stations
at face value and then use it to extrapolate to nearby grid cells because there are no other nearby stations in the Arctic really need to get out more and see what the measuring environment is like.
As the interpretation of infinity in economic climate models is essentially a debate about how to deal with the threat of extinction, Mr Weitzman's argument depends heavily on a judgement about the
value of life... A lack of reliable
data exacerbates the profound methodological and philosophical difficulties
faced by climate change economists... The United Nations conference in Paris this December offers a chance to take appropriate steps to protect future generations from this risk... http://www.economist.com/blogs/freeexchange/2015/07/climate-change (MOST COMMENTING ARE NOT
AT ALL IMPRESSED)
The proper answer to 3) is «we don't know what the feedback is, but the evidence
at face value suggests it is very small either way», but it is absurdly early days still as far as reliable
data accrual is concerned.
Moreover, taking the proxy sea surface temperature
data for the peak Eocene period (55 — 48 Myr BP)
at face value yields a global temperature of 33 — 34 °C (fig. 3 of Bijl et al. [84]-RRB-, which would require an even larger CO2 amount with the same climate models.
If the EECO global temperature exceeded 28 °C, as suggested by multi-proxy
data taken
at face value (see above), climate sensitivity implied by the EECO warmth and the PETM warming is close to the full Russell climate sensitivity (see electronic supplementary material, figures S7 — S9).
It was a straightforward paper reporting the trends of humidity in the middle and upper troposphere as they (the trends) appear
at face value in the NCEP monthly - average reanalysis
data.
The following is from the US Academies of Science in 2002 — from doyens of climate science — and can be taken
at face value as a description of real world
data.
Data I understand data as being a «given», something we accept at face value, raw facts like numbers, characters or ima
Data I understand
data as being a «given», something we accept at face value, raw facts like numbers, characters or ima
data as being a «given», something we accept
at face value, raw facts like numbers, characters or images.
Regarding the company's acceptance
at face value that Cambridge Analytica had deleted the
data they weren't supposed to have (to Recode):