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The origin of these discrepancies is unclear.
We are told that dismissing major voting discrepancies is a disgrace for a nation that calls itself a government of the people, by the people and for the people.
The extent of the discrepancies is staggering: an analysis of hundreds of products by the Times found that where equivalent products were priced differently, they cost 37% more for women.
The number of discrepancies is very low.
Building a system that assumes ill intent rather than merely detecting discrepancies is not always a good design choice.
In particular, the highest quality data with the fewest discrepancies is the high potency actives data.
The analysis of the results illustrating the following kinds of discrepancies is summarised in Table 5.
Exactly which assumptions cause these discrepancies is unclear from this experiment.
A non-exhaustive summary of these discrepancies is summarised in column 3 of Additional file 1.
One possible variable that might explain the discrepancies is genetic background effects.
A comprehensive understanding of map discrepancies is required to improve their effectiveness in carbon accounting and local decision-making.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com