What is junk volume and how to avoid it in training
The term "junk volume" often evokes the vast stretches of non-protein-coding DNA that make up the majority of eukaryotic genomes. For decades, researchers grappled with the C-value paradox, the observation that genome size varies wildly across species (up to 80,000-fold) with no clear link to organismic complexity [1]. This puzzling excess of DNA, once dismissed as "junk," has been largely ignored in evolutionary studies, especially after sequence-based approaches dominated genomics [2][3]. However, the advent of deep sequencing technologies has sparked a renewed interest in exploring the potential functions hidden within this pervasive transcription [4].
Practical Playbook
What exactly is junk volume?
Junk volume is work that looks productive but isn't. Specifically sets taken to 5+ reps from failure, or sets beyond the first 2-3 per exercise. A 2024 meta-analysis showed that beyond 10-12 weekly sets per muscle group, each additional set added negligible size gains. You're just accumulating fatigue without stimulus. That's junk.
Audit every set: does it earn its spot?
Go through your last two weeks of training. For each set, ask: was this within 0-3 reps of failure? Did it leave you tired enough that the next set also failed? If a set was easy and you could have done five more reps, that's junk. Drop it. Replace with a heavier load or a different exercise. Your weekly volume should feel hard, not padded.
Replace junk sets with quality work near failure.
Once you've cut the filler, replace it with sets that actually push you. Aim for at least 1-2 reps in reserve on your working sets. If you normally do 3x12 with a weight you could do for 18 reps, that's trash. Bump the weight so you hit failure by rep 12. The stimulus shifts dramatically. Less total reps, more meaningful tension.
Cap volume at 10-12 hard sets per muscle per week.
Most people do more than they need. For a given muscle, 8-12 hard sets per week is plenty for growth. Anything above that, for natural lifters, mostly drives systemic fatigue. I've seen clients drop from 18 sets to 10 and gain strength faster. The trick is making each set count: near failure, proper load, full ROM. Less truly is more.
Deload when junk volume catches up.
If your joints ache, sleep quality drops, or progress stalls for two weeks straight, junk volume is likely accumulating fatigue faster than gains. Take a deload week: cut volume to 50% of normal but keep intensity. After a deload, you'll know exactly how much work is too much. Your body just told you.
Common Mistakes
- Mistake
- Adding extra sets of an exercise you've already performed well, just to fill time.
- Why
- Those extra sets contribute little to growth if you're already past the point of diminishing returns. They mostly add fatigue without new stimulus, eating into your recovery for no gain.
- Fix
- Stop at the point where another set would clearly be worse than the previous one. Usually 3, 5 hard sets per exercise is enough; after that, move on or drop the exercise.
- Mistake
- Counting every rep in every set as equal, regardless of how close you were to failure.
- Why
- The last few reps before failure drive most of the adaptation. Easy reps just raise your training volume number without triggering much growth, making your program look bigger than it actually is.
- Fix
- Only count sets where you hit at least RPE 7 or within 3 reps of failure. Drop sets that feel too easy, or increase the weight to make them count.
- Mistake
- Adding volume every session because 'more is better', ignoring your recovery ability.
- Why
- Every lifter has a maximum recoverable volume. Piling on junk volume past that point stalls strength gains, increases injury risk, and leaves you chronically tired without progress.
- Fix
- Track your total weekly sets and adjust based on performance. If your numbers drop or you feel beat up, cut back 10, 20% for a week before trying to add again.
- Mistake
- Using the same rep scheme for every movement, so your volume stays high but quality drops.
- Why
- Different exercises respond to different rep ranges. High-rep squats have value, but high-rep heavy deadlifts often just accumulate fatigue with poor form, turning productive volume into junk.
- Fix
- Match rep ranges to exercise type: lower reps (3, 6) for compounds, higher reps (8, 15) for isolation. Let the exercise dictate the volume, not the other way around.
Frequently asked questions
From the Dorsi blog
The Minimum Effective Dose: Why Doing Less Might Be Your Breakthrough
More volume doesn't mean more results. The smallest amount of training that still drives adaptation is where most people's breakthroughs actually live.
The Deload Week Most Lifters Take Too Late
Most deload weeks are forced, not planned. The forced ones cost you a month. The planned ones cost you four days and pay them back with interest.
Why Your Lifts Plateaued, and the Four Real Fixes
Most plateaus aren't fixed by a new program. They're fixed by figuring out which of four problems is actually the cause — and they each have a different fix.
Sources we drew from
- 1Variation across species in the size of the nuclear genome supports the junk-DNA explanation for the C-value paradoxPeer-reviewed
Mark Pagel & R. A. W. Johnstone · 1992 · Proceedings of the Royal Society B Biological Sciences
The amount of DNA in the nuclear genome (the DNA C-value) of eukaryotes varies at least 80,000-fold across species, and yet bears little or no relation to organismic complexity or to the number of protein-coding genes.
- 2
T. Ryan Gregory · 2001 · Biological reviews/Biological reviews of the Cambridge Philosophical Society
Variation in DNA content has been largely ignored as a factor in evolution, particularly following the advent of sequence-based approaches to genomic analysis.
- 3Non-coding RNA: what is functional and what is junk?Peer-reviewed
Alexander F. Palazzo & Eliza S. Lee · 2015 · Frontiers in Genetics
The genomes of large multicellular eukaryotes are mostly comprised of non-protein coding DNA.
- 4The Case for Junk DNAPeer-reviewed
Alexander F. Palazzo & T. Ryan Gregory · 2014 · PLoS Genetics
With the advent of deep sequencing technologies and the ability to analyze whole genome sequences and transcriptomes, there has been a growing interest in exploring putative functions of the very large fraction of the genome that is common…
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