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Lepore repeats a common claim that advocates of disruption theory employ circular arguments: anything that succeeds is disruptive, and failure arises from insufficient disruption.
Lepore also links disruption theory to the axiom that failure is endemic to the innovation process.
Thomas Thurston built a dataset at Intel which he later refined to test disruption theory.
As if it weren't enough, Disruption Theory has also proven highly replicable.
More than 1,000 corporate managers and students at schools including Harvard and MIT have been tested both before, and after, specific training in Disruption Theory (over 8,000 observations).
That may be believed by some who have continued to develop disruption theory, but the desire to bring predictability to innovation and to reduce failure has been central to the theory from the start.
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Not one but multiple Disruption Theory-based models, each drawing from different data and underlying algorithms, continue to deliver 66percentt sustained accuracy with 99percentt statistical confidence.
In terms of disruptions, practice theory allows us to research the situated processes of gathering the knowledge required to accomplish practices.
Therefore, its disruption could in theory result in the type of pattern we observe in poor quality sperm, with elevated levels of DNA methylation at DNA sequences of each of these types.
The theory of disruption is meant to be predictive.
Within a year or two, Christensen's theory of disruption was ubiquitous.
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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