Sentence examples for distorting degree from inspiring English sources

Exact(1)

iPhone sales dwarf the rest of its offerings, to a distorting degree – the revenue Apple makes from everything that isn't an iPhone is easily outweighed by that one device.

Similar(59)

But Jamieson, who founded factcheck.org to help hold politicians to account, is scathing of the tactics adopted by the Clinton campaign regarding the emails, which she believes distort the degree to which the rules have changed since previous secretaries of state were in office.

Thus noise should generally distort the degree distribution in a different way from the way incomplete network data do.

Made from reflective stainless steel, the sculptures are twisted to 90 degrees, distorting the viewer's reflection when they walk around the work.

The Keggin structure of the dispersed 12-tungstophosphoric acid was primarily preserved without destruction, but it was distorted in some degree, as confirmed by FTIR, 31P NMR-MAS and UV vis spectroscopic characterizations.

Well, of course it's not that simple; for one thing, the earth is not as flat as the pages of a map, so maps must be distorted to some degree.

However, the measurement may have been distorted to some degree by unforeseeable factors such as subjects having changed their mind in the meantime.

Still, the philosophizing efforts were disrupted and distorted to various degrees in many instances, were creatively adaptive in many others.

The main reason lies in that the BPs of the two methods are distorted in varying degrees by array errors.

For instance, the retinas of fish living at different depths of a lake have distinct patterns because they are attuned to detecting wavelengths of light filtered and distorted to varying degrees by the water.

Future work could also investigate the value of seeding strategies that are based on noisy network observations that overestimate the density of the network (many "friends" may not be trusted for product recommendations, etc), or that distort the relative degrees of nodes (e.g., some demographics are easier to overpredict links for than others).

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