Dan_P
Contributor
*says deep stops work*
*gets various studies and explanations of why they don't seem to*
*yes but I think it works, so do more work. What if it was gas density, even if we're far from any known threshold ?! Oh and what if VGE, a deco stress indicator is positive ?*
So either scientists have been wrong all along, or maybe they're somewhat right...
...I feel the discussion of "99% or 95%" is sometimes misinterpreted as "100% or 0%".
I would argue the gas density concern remains legitimate on a 170ft dive with deep stops at 70ft. on air.
You're basically saying that almost certain CO2 retention followed by certain reduction in respiratory capacity in particular disadvantage to deeper divers, couldn't possibly have any impact.
It's hardly easy to fully dismiss that it might on the face of it, even if dismissing that the different permeation coefficient might have an influence.
I've listed some material I find interesting, below.
There's a reason there's controversy about this subject, and it's not because experts agree and some divers don't - it's because experts don't agree.
Otherwise, it'd hardly be controversial, would it.
Astronomers say there's a comet heading for Earth, we should do something about it!
Well, Bob the Barber says we'll be allright, so let's not.
Ah, well, allright then.
No.
This would be a good time to point out I'd be the barber in that analogy, if it were valid - Further, I'm not claiming to "know better". I'm simply unsatisfied that we can fully "debunk deep stops", dismiss CO2 and equate it all to RD.
Deep Stops - Page 7
Relationship between CO2 levels and decompression sickness: implications for disease prevention. - PubMed - NCBI
http://www.dtic.mil/dtic/tr/fulltext/u2/763735.pdf
https://www.nature.com/articles/s41598-017-06678-y
https://www.omao.noaa.gov/sites/default/files/documents/Rebreathers and Scientific Diving Proceedings 2016.pdf
D. E. Busby, Space Clinical Medicine
BEHNKE, A.R.: 1947, A Review of the Physiologic and Clinical Data Pertaining to Decompression
Sickness. NMRI-443-4, U.S. Naval Medical Research Inst., Bethesda, Md.
http://www.dtic.mil/dtic/tr/fulltext/u2/405783.pdf
BLINKS, L.R., TWITTY, V.C., and WHITAKER, D.M., 'Part II. Bubble Formation in Frogs and
Rats', in Decompression Sickness (ed. by J.G. Fulton), W.B. Saunders Co., Philadelphia, pp.
145-164.
https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19670013549.pdf
HARVEY, E.N.: 1965, 'Decompression Sickness and Bubble Formation in Blood and Tissues',
Bull. N. Y. Acad. Med. 21, 505-536.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1870593/
How can you say this?
You take a data set (e.g. depth, time, gas mixes) and you apply a process to that data which produces a result (an ascent plan).
I write software for a living. That is EXACTLY an algorithm, in my book.
If it's not an algorithm, and you teach it to a student, then assign them a "problem" to solve - i.e. give them some dive data and assign them to produce a suitable ascent plan from it - how can you say if their answer is right or wrong?
Isn't the process of checking their answer one where you take the same input data and go through steps (what one might call an "algorithm") to produce your own answer and compare it to theirs? The algorithm is what defines the steps you go through such that the result is repeatable (i.e. you get the same answer as the student).
You have only setpoints that mark relations across times and depths.
One could always make the argument that that's an algorithm, but it's too simplifying.
The point is to move away from the thinking that there is a "right" and "wrong" answer, but you can carry out controls just fine.
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