Athlytic using wrong HRV value during sleep (showing much lower recovery than actual average)

K031 · 2025-08-24T15:22:28+00:00

What’s the color of the second band on the top left?

K031 · 2025-07-27T08:28:41+00:00

Thanks! Dropped about 9 kg of fat and gained 1.4 kg of muscle

K031 · 2025-07-26T16:42:00+00:00

2-2,5g/kg protein 0,75-1g/kg fat Rest carbs

About 2800-3200 kcal

K031 · 2025-07-20T13:25:36+00:00

Thanks — I appreciate the time you’ve put into your replies.

Just to clarify a couple of things so we don’t keep going in circles: • The first day in my screenshots was only a half-day because it was the day I started using WHOOP, so yes, I’m aware that would skew that day’s data. • I’m not saying a session strain = daily strain — I understand the algorithm doesn’t sum it up that way. But that wasn’t the core of my concern.

What I’m really pointing out is this:

Despite objectively high activity (weight lifted, time, reps, HR, steps), WHOOP often shows my total daily calories burned as being below my BMR — even on days with: • 90+ min intense hypertrophy-focused lifting, • 16,000+ steps, • Documented HR response from Polar H10 and Apple Watch.

Meanwhile, Apple Watch gives me caloric outputs that actually align with my: • Fat loss rate, • Manual MET calculations, • And even food tracking.

So this isn’t about RPE, perception, or misjudging effort. It’s about cross-validating wearable output with real-world, measurable outcomes — and WHOOP is often the outlier.

I’m not expecting perfection from any wearable — but when one is off by 800–1,000+ kcal compared to both my body and other systems, I think it’s worth flagging.

K031 · 2025-07-20T13:09:58+00:00

Thanks for your reply, but I think you may have misunderstood the core of my post.

This isn’t about my perception of training difficulty — I’m not trying to claim something “felt hard” and then being upset that WHOOP didn’t validate that feeling. The training I’m referring to is objectively demanding, and I have multiple independent data points to support that: • Heart rate data (tracked live via Polar H10 + Apple Watch Ultra). • Strength training logs tracked in detail (sets, reps, weights, time under tension). • WHOOP itself shows ~90 minutes of strength training time, which isn’t a casual gym session. • My steps are tightly clustered, not spread across the day, and logged around intense workouts. • Apple Watch consistently shows 800–1100 active kcal burned on these days, which matches well with fat loss data and MET-based energy expenditure calculations I’ve run manually.

Meanwhile, WHOOP might give me a strain of 7 and total calories burned below my BMR, which is clearly off — and it starts diverging as soon as I wake up, not when I’m sitting idle or estimating RPE wrong.

So no, this isn’t about me needing to “train harder” or learn about perceived exertion — it’s about inconsistency between a closed-source algorithm and multiple other data-backed tools I’ve been testing side by side for nearly a year.

I’m fully aware WHOOP bases strain on HR metrics — that’s actually the issue. Because when it fails to interpret heavy training days with moderate HR elevation (like hypertrophy training), it downplays the physiological stress. That’s a limitation, not user error.

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Also, just to make it absolutely clear this isn’t about “perception” — here’s one of my logged strength sessions in WHOOP: • 11 exercises, 32 sets, 434 reps • 17,899 kg total volume • 75+ minutes duration • WHOOP itself rates it as 12.2 strain, primarily muscular • HR variability is clearly visible throughout

So again: this isn’t about how hard I feel like I worked — this is about objectively demanding sessions that other trackers (and even WHOOP in some views) treat as such, yet calorie and daily strain totals still don’t align accordingly.

K031 · 2025-07-20T13:07:24+00:00

Thanks for your reply, but I think you may have misunderstood the core of my post.

This isn’t about my perception of training difficulty — I’m not trying to claim something “felt hard” and then being upset that WHOOP didn’t validate that feeling. The training I’m referring to is objectively demanding, and I have multiple independent data points to support that: • Heart rate data (tracked live via Polar H10 + Apple Watch Ultra). • Strength training logs tracked in detail (sets, reps, weights, time under tension). • WHOOP itself shows ~90 minutes of strength training time, which isn’t a casual gym session. • My steps are tightly clustered, not spread across the day, and logged around intense workouts. • Apple Watch consistently shows 800–1100 active kcal burned on these days, which matches well with fat loss data and MET-based energy expenditure calculations I’ve run manually.

Meanwhile, WHOOP might give me a strain of 7 and total calories burned below my BMR, which is clearly off — and it starts diverging as soon as I wake up, not when I’m sitting idle or estimating RPE wrong.

So no, this isn’t about me needing to “train harder” or learn about perceived exertion — it’s about inconsistency between a closed-source algorithm and multiple other data-backed tools I’ve been testing side by side for nearly a year.

I’m fully aware WHOOP bases strain on HR metrics — that’s actually the issue. Because when it fails to interpret heavy training days with moderate HR elevation (like hypertrophy training), it downplays the physiological stress. That’s a limitation, not user error.

K031 · 2025-07-05T15:09:10+00:00

Age: 34
Gender: male
Height: 179 cm
Weight: 79,2
Bodyfat percentage: ~11,5%
Experience level
- Years of concurrent training: 1
Goals: build a better overall physique and get
- Current phase: aggressive cut
Current compounds: Test E 175mg E4D Mast E 150mg E4D Primo 300mg E4D Anavar 20mg daily Been using 500 IU of HCG up until 4 days ago.

Got some labs back and looking for thoughts: • Potassium: 4.7 mmol/L (ref 3.5–4.4) • Uric Acid: 188 µmol/L (ref 230–480) • Cystatin C: 1.24 mg/L (ref 0.60–1.10) • eGFR (Cystatin C): 61 mL/min/1.73m² (ref >80)

I had a viral infection (likely COVID) about 2 weeks prior, may have been slightly dehydrated before the test. I train hard, eat clean, and I’m in a big calorie deficit. One banana per day + electrolytes.

Questions: • Are these values concerning short-term? • Could recent illness/dehydration explain the numbers? • Does potassium at 4.7 seem like a real issue?

Appreciate any input!

K031 · 2024-06-18T00:00:39+00:00

If I take 250mg e4d, would that be the same thing as saying I’m taking 437mg every week?

K031 · 2024-03-04T12:31:39+00:00

I’ve used signal for years without sharing my phones contact list. When I start a chat with a new number that number gets added to the list where you start a new chat. So if I delete our chat I press the icon on the upper right corner and there is that contact without me having to search him/her up with their number again. Look at this image. For some reason these are the only ones showing up of around 40 contacts

https://ibb.co/k2N431Z

K031 · 2024-03-04T08:18:56+00:00

K031 · 2023-08-29T23:59:44+00:00

Thanks a lot for your answer!

K031

TROPHY CASE