(A 2006 Nature article found roughly
the same number of errors in entries from the two encyclopedias on various scientific topics, so our «findings» are consistent.)
Not exact matches
Seeking a modification has been an infuriating, stressful nightmare: a black hole
of time lost repeatedly calling an 800
number, faxing and mailing the
same documents over and over, and coping with the ramifications
of errors made by poorly trained bank employees.
That
number is within the margin
of error of the 66 - 23 Siena found in June and exactly the
same as the split found by Quinnipiac University two weeks after Long launched her candidacy.
But at the
same time, observed writer John Leo, a large
number of Americans were «computerphobes» and «technopeasants» who feared computers were «designed to destroy privacy, eliminate jobs, carry the TV generation even further away from literacy, read little squiggles on cornflakes boxes so the grocer can cheat his customers more easily, and allow World War III to be launched entirely by technical
error.»
I determined the position again allowing for a pessimistically large
error, checked the latest
numbers of IBVS (Information Bulletin
of Variable Stars), but the result was the
same.
In any event, I'm coming up with the
same gut sense: there's a pretty massive margin
of error on these
numbers, and my innate guess at it is «big.»
Most
of what I consider
errors are probably typo's (then instead
of than), and frankly, I was seeing about the
same number 3 years ago when I was reading «Big 5» edited dead - tree books.
is $ 15560, so if you had the $ 4000 (and ignoring forgone interest which is very low at the moment), then you'd only need $ 8
of savings from the tax deduction for it to be worthwhile - I suspect they set it up so that the
numbers would be the
same modulo rounding
errors.
Slight
errors in this process and the generally weaker representation
of common long - timescale variability expressed in groups
of trees mean that low - frequency chronology variability is not as strongly expressed as the high - frequency given the
same number of tree core samples.
It is certainly true that a very small temperature bias that is not random from instrument to instrument, but instead is the
same over a large
number of profiles can create systematic
error in global estimates
of ocean heat content.
The PDF has been computed in the
same way (apart from the reciprocal relationship) as the climate sensitivity PDF in Figure 2 in the original paper, using the
same data and
error distribution assumptions but with a larger
number of random samples to improve accuracy.
Salby, in his short term focus, is committing the
same errors as a
number of previous skeptics — and demonstrating a great lack
of understanding
of the carbon cycle in the process.
Salby, in his short term focus, is committing the
same errors as a
number of
If the
errors are uncorrelated and
of the
same order
of magnitude they will cancel to a significant degree, and the accuracy
of the final result will improve proportionally to the inverse square root
of the
number of observations.
And he therefore now knew that Wahl and Amman's work suffered from exactly the
same problem as the hockey stick itself: the R2
number was so low as to suggest that the hockey stick had no meaning at all, although another statistic, the reduction
of error statistic (or RE) was relatively high.
If you have a larger
number of measurements for the
same point you would reduce
error, like measuring «a» board.
For independent random
errors with the
same mean (i.e., no drift), the accuracy increases with the square root
of the
number of measurements.
On the other hand, at the bust end
of financial cycles, when finding a new job has become increasingly difficult, the wish to continue working for companies has triggered a significant increase in the
number of claims seeking dismissals to be declared null and void due to violations
of fundamental rights or, in case
of collective dismissals, due to the existence
of procedural
errors that could lead to the
same conclusion: annulled dismissals.