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Posted by: "Drew Baye" drew@baye.com drew_baye
John Cowell asked:
"Honestly, is there anyone out there who truly believes that a single
set protocol is superior to a multi-set protocol for strength, power
or hypertrophy gains?"
In most cases, yes, if for no other reason than it will produce similar
results with less time invested. Like many things, however, it depends on
the individual.
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I recently performed a meta-regression that has been submitted for publication and is currently under review. My analysis dramatically improves upon the limitations of previous meta-analyses by Rhea, Wolfe, and others. These papers have been heavily criticized (and rightly so) for their methodology. I did an analysis using much stricter inclusion criteria, along with analysis of the presence of publication bias as well as sensitivity analyses. I also used a superior statistical model (random effects hierarchical meta-regression)
My analysis clearly shows multiple sets to produce superior strength gains, in both trained AND untrained subjects. The results were very robust in the sensitivity analyses, and there was no evidence of publication bias.
I cannot reveal very much since it's currently under review, but it is clear that the burden of proof lies upon Baye and others to show that single sets are equivalent to multiple sets. Yet no scientific data is presented. And studies continue to emerge, in journals other than JSCR (which Baye and others claims to be biased), by authors not affiliated with Dr. Kraemer or Stone (who also Baye and others claim to be biased), showing multiple sets to be superior.
However, I think that, despite the accumulating body of evidence indicating a superiority of multiple sets, Baye and others from the HIT camp will continue to commit the fallacy of confirmation bias and assert that single sets are equivalent.
James Krieger, M.S., M.S.
Research Associate
20/20 Lifestyles
http://www.2020life
Bellevue, WA
Editor, Journal of Pure Power
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