This Week in Training Science

As of October 2026, one of the better-supported ideas in resistance training is that proximity to failure can be dialed back without necessarily sacrificing strength or hypertrophy — the way you organize and regulate training matters as much as how hard you push. That principle anchors this week's content.

Research Highlights

The question underneath much of this week's content is whether you have to train to failure to grow. The evidence says no — not reliably, and not without cost.

A 2021 meta-analysis by Grgic, Schoenfeld and colleagues (Sports Medicine) found that training to failure did not produce significantly greater strength or hypertrophy gains than stopping short of failure, provided volume was equated. This is the central, citable point: failure is one tool among several, not a requirement for adaptation.

That finding gives practical weight to split-style set structures — cluster sets and rest-pause schemes that insert short intra-set rest to maintain quality reps while limiting fatigue. Reviews of cluster-set training (e.g., Davies et al.) report that these structures can preserve power output and reduce perceived fatigue across a set compared to traditional straight sets, with strength and hypertrophy outcomes broadly comparable when volume is matched. The takeaway is measured: split sets are a viable alternative to failure-based straight sets — particularly where fatigue management matters — not a categorical upgrade. Neither approach dominates across all outcomes.

Industry Updates

Two gear guides this week addressed grip aids with more specificity than most product coverage allows. The chalk comparison — ball vs. block vs. rosin — broke down reapplication frequency and performance under load, giving lifters a practical decision framework rather than a ranked list. The liquid chalk guide put Friction Labs, Primo, and Bear Grip side by side under heavy deadlift conditions, where grip failure has real consequences. Neither guide declares a single winner; both help lifters match the tool to their training environment.

On the apparel side, a short piece addressed persistent gym clothing odor. Lifters anecdotally report that synthetic fabrics hold onto smell more stubbornly than cotton even after a standard wash — treat that as a laundry heuristic, not fabric science. Either way, the practical fix is low-effort once you know what you're dealing with.

Training Takeaways

  • Use RIR to regulate effort, and expect to recalibrate it. Helms and colleagues' work on RPE-based load prescription uses reps-in-reserve as a scalable way to autoregulate training effort day to day. In practice, many lifters find their RIR estimates drift and need recalibrating against actual performance — so track the response rather than trusting the number blindly. In Kenso you can log RPE and rest per set, which makes "how close to failure was that, really?" a reviewable data point instead of a guess.
  • Split sets are a legitimate tool, not a breakthrough. Cluster and rest-pause structures may reduce fatigue accumulation without sacrificing strength or size, making them worth considering in high-volume or in-season blocks — but don't expect superior hypertrophy versus volume-matched straight sets.
  • Twice-weekly frequency is a reasonable default. Schoenfeld, Ogborn and Krieger's 2016 meta-analysis (Sports Medicine) found that, with weekly volume equated, training a muscle twice per week tended to produce greater hypertrophy than once per week — suggesting the practical benefit lies largely in how sets are distributed across sessions. Use it as a planning default, not a mandate.
  • Mesocycles need exit criteria, not just length. Defining when to end a block — based on performance stall, recovery markers, or progression logic — matters as much as how long you plan to run it. Kenso's rule-based double-progression engine handles part of this automatically: it issues auto weight/rep recommendations and fires a deload trigger when progression stalls, so "when do I end this block" becomes a logged signal rather than a calendar guess.
  • 5/3/1 for Beginners remains a structurally sound starting point. Its percentage-based progression and built-in variation make it one of the more durable entry templates available — worth understanding in full before modifying it.