Programming a Smooth NLP | Scott Acosta

[stef]

As simple as the Novice Linear Progression (NLP) is, there is an awful lot of opportunity to mess it up. Mistakes usually come at points when a slight program adjustment is needed, but either too drastic a change is made or no change is made at all. This leads to lots of preventable problems.

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[Cole Gorton]

damn i know i have all the books but i wish i had this article when i was on my LP. i saved it on my drive in case i ever have a lay off and need to come back. good recap with nice flow charts.

[Jason Donaldson]

Agreed - this is an excellent article. My challenge to you, Cole, is to see what you can learn from it now. The principles are not solely limited to the NLP.

[Martin Shenfield]

And the fact that this is given away for free is insane.

That said, the big thing I picked up on at the training camp is the difference between programming and a program.
This information is only useful if we know how to actually use it. I'll be figuring out budget for investing in coaching for myself in the new year.

[Cole Gorton]

Agreed - this is an excellent article. My challenge to you, Cole, is to see what you can learn from it now. The principles are not solely limited to the NLP.

embarrasingly, for 6 years ive employed the strategy of full scale programming changes and overhauls when i get fatigued or stuck. maybe just maybe now, after 7 years of training, coachless me can start to treat it more as a science experiment, changing one small variable at a time and documenting its effectiveness. i also cant believe its taken 7 years to realize the variable that we use to measure progress is load. only load. not volume, not progress on variants, not introduction of new movements, not frequency or rep range.....just weight on the bar. i had it right the first year of training when i was on my LP bc it was exciting to keep adding weight to the bar. but once that got hard, you, stupid things like @rpe and DUP and hypertrophy all got tempting. and it was all a waste of time lol

[RyanW]

This article is really helpful. Thanks, Scott.