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The estimates of creation rates of TF-binding sites in the rodent's genomes indicate that 131,728 years were required for creation of one novel NANOG-binding site during approximately 350 Myr of evolution from Zebrafish to Mouse (table 4 and fig. 6).
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The government's estimates of job creation are not particularly accurate, a point that is often made and often ignored.
Estimates of job creation or destruction often come from economic consultants hired by groups lobbying for or against a proposal.
Taking survey data and using statistical models to translate them into estimates of job creation introduces more error.
But the monthly estimates of job creation are notoriously volatile, confounding forecasts almost every month and often prone to substantial revision in the months that follow.
[C6.] Estimates of Job Creation vs. Facts When the latest monthly report on jobs comes out this morning, economists will be closely watching whether the numbers that they were forecasting are as embarrassingly off target as they have been in recent months.
The MSNBC article suggests that the Obama Administration is counting jobs resulting from Bush-era projects in its estimates of job creation resulting from the Section 1603 program.
It's just that I don't put any validity on any of the estimates of job creation, and I also acknowledge that there will be some job losses in other sectors that also need to be considered (but often aren't).
The government also significantly reduced its estimate of job creation over the last few months, creating an impression of a longer-term trend of slowing growth.
It's not uncommon for these numbers to diverge, since there is a fair amount of measurement error in coming up with any estimate of job creation (most of the reports are based on surveys of one kind or another).
It is the opinion of the authors here that given the improved technology in the industry, and the increase in the size of the turbines, which results in more energy produced from each turbine, the lower estimates of the job creation numbers are far more likely to be closer to the true values.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com