Evidence of Jones' Guilt

Weird. You just said Jon doesn’t have an alibi….
No he doesn't, not for the original failure, which is what I was referring to when I said that.

You changed the subject to an alibi for pulsing, and of course, pulsing IS the alibi for his subsequent outburst of bad tests.
 
No he doesn't, not for the original failure, which is what I was referring to when I said that.

You changed the subject to an alibi for pulsing, and of course, pulsing IS the alibi for his subsequent outburst of bad tests.
I never said he had an alibi for his first m3 flag.
 
Jones is 1 KO in 8 .... gimmie "wins" against Gustaffson, Santos, and Reyes - 3 fights everyone knows he lost.
 
I'm sure if there were a way to figure that out @UsernameLOL would have already tried it.

You dragged me back in. But it's all good. It's an important point to bring up;

Keep in mind this is all for a single dose of 5 mg.

The amount of parent drug recovered in urine is drastically less than the amount administered. Anywhere from 1.7% to 7% of the amount administered.

ehIePlI.jpg


PcrWNGC.jpg


It pretty much tells us that the parent drug stopped being detectable very early on. So the 1.7% and 7% figures are reliable; it's not likely that more will be excreted.

Also you speak way too high of my abilities :). I'm still learning


I would imagine that the total amount of various metabolite excreted would be far less.

So I don't think it's right to consider "how long it would take for someone to urinate 5 mg of x metabolite at xx pg/ml of urine". (If that is indeed what is being proposed)

Edit: I think if I integrated the excretion curve in the OP. Multiplied it by 2000 ml/ day. Then multiplied it by 500 days. I don't think I would get anywhere close to 20mg administered in that study.

Brb I'm gonna check. This one should be easy.
 
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@Captain Herb I can't dress up this script up and make a good presentation

but after

1) taking the curve in the OP

2) multiplying each value my 2000 ml we get the amount (in picograms) excreted in a day

3) We integrate we get the amount excreted (in picograms) over 250ish days

4) We convert that to mg we get about 0.01 mg so roughly 0.05% of the compound administered would be recovered as m3 in urine over 250 days. If we supposed that the amounts excreted in 500 days were identical (although models say it should be less) is double this. We still only recover 0.1% over 500 days.

I think it's pretty safe to say when t-bol is done secreting (after we've numerically integrated) we should get nowhere near the amount of m3 recovered in urine as amount of parent drug administered.

Here's the script in matlab/python(numpy)/octave/sci-lab if anyone wants to fuck with it. I don't have time to make illustrations right now.

t_singledose = linspace(0,252,22); %%time single dose

conc_singledose = [0,150,45,30,22,22,22,22,22,15,15,11.4,9.8,8.2,6.6,5,3.4,1.8,2.64,3.12,3.6,4.08]; %%concentration single dose


%%Time to interpolate


t_singledose_interp = linspace(0,252,253);



conc_interp = interp1(t_singledose,conc_singledose,t_singledose_interp,"linear");


% Plot


plot(t_singledose_interp,conc_interp)

xlabel('Time (days)')

ylabel('Concentration (pg/ml)')



% Supposing 2000 ml of urine a day the amount per day is concentration

% multiplied by 2000

amount_interp = 2000*conc_interp;


%Total amount excreted is the amount integrated (using trapezoidal

%numerical integration in this case)


I = trapz(t_singledose_interp,amount_interp);


% I (for Integral) is 10,142,400 picograms


%Convert to grams and then milligrams, divide by 10^12 to convert to

%grams,dvide by 10^(-3) to convert to milligrams


I_milligrams = I *(10^(-12))*(10^3);


%%I_milligrams = 0.01 milligrams
 
Lol, pulsing IS the alibi. That's what UFC came up with and USADA went along with it.
Okay, this is where you fall on your face, because this is well documented (that it stays in the system at a level it straddles the detection not detectable threshold), and has now been similarly documented with other chlorinated PEDs.

Not just Jones. Not just UFC. Not just MMA.
 
@Captain Herb I can't dress up this script up and make a good presentation

but after

1) taking the curve in the OP

2) multiplying each value my 2000 ml we get the amount (in picograms) excreted in a day

3) We integrate we get the amount excreted (in picograms) over 250ish days

4) We convert that to mg we get about 0.01 mg so roughly 0.05% of the compound administered would be recovered as m3 in urine over 250 days. If we supposed that the amounts excreted in 500 days were identical (although models say it should be less) is double this. We still only recover 0.1% over 500 days.

I think it's pretty safe to say when t-bol is done secreting (after we've numerically integrated) we should get nowhere near the amount of m3 recovered in urine as amount of parent drug administered.

Here's the script in matlab/python(numpy)/octave/sci-lab if anyone wants to fuck with it. I don't have time to make illustrations right now.

t_singledose = linspace(0,252,22); %%time single dose

conc_singledose = [0,150,45,30,22,22,22,22,22,15,15,11.4,9.8,8.2,6.6,5,3.4,1.8,2.64,3.12,3.6,4.08]; %%concentration single dose


%%Time to interpolate


t_singledose_interp = linspace(0,252,253);



conc_interp = interp1(t_singledose,conc_singledose,t_singledose_interp,"linear");


% Plot


plot(t_singledose_interp,conc_interp)

xlabel('Time (days)')

ylabel('Concentration (pg/ml)')



% Supposing 2000 ml of urine a day the amount per day is concentration

% multiplied by 2000

amount_interp = 2000*conc_interp;


%Total amount excreted is the amount integrated (using trapezoidal

%numerical integration in this case)


I = trapz(t_singledose_interp,amount_interp);


% I (for Integral) is 10,142,400 picograms


%Convert to grams and then milligrams, divide by 10^12 to convert to

%grams,dvide by 10^(-3) to convert to milligrams


I_milligrams = I *(10^(-12))*(10^3);


%%I_milligrams = 0.01 milligrams


Is the assumption of a steady rate of excretion valid with something that gets stored in fat and doesn't metabolize (vs. water soluble)? That seems like a pretty key factor. It's kind of the entire crux of the idea of "pulsing," isn't it?
 
@Captain Herb I can't dress up this script up and make a good presentation

but after

1) taking the curve in the OP

2) multiplying each value my 2000 ml we get the amount (in picograms) excreted in a day

3) We integrate we get the amount excreted (in picograms) over 250ish days

4) We convert that to mg we get about 0.01 mg so roughly 0.05% of the compound administered would be recovered as m3 in urine over 250 days. If we supposed that the amounts excreted in 500 days were identical (although models say it should be less) is double this. We still only recover 0.1% over 500 days.

I think it's pretty safe to say when t-bol is done secreting (after we've numerically integrated) we should get nowhere near the amount of m3 recovered in urine as amount of parent drug administered.

Here's the script in matlab/python(numpy)/octave/sci-lab if anyone wants to fuck with it. I don't have time to make illustrations right now.

t_singledose = linspace(0,252,22); %%time single dose

conc_singledose = [0,150,45,30,22,22,22,22,22,15,15,11.4,9.8,8.2,6.6,5,3.4,1.8,2.64,3.12,3.6,4.08]; %%concentration single dose


%%Time to interpolate


t_singledose_interp = linspace(0,252,253);



conc_interp = interp1(t_singledose,conc_singledose,t_singledose_interp,"linear");


% Plot


plot(t_singledose_interp,conc_interp)

xlabel('Time (days)')

ylabel('Concentration (pg/ml)')



% Supposing 2000 ml of urine a day the amount per day is concentration

% multiplied by 2000

amount_interp = 2000*conc_interp;


%Total amount excreted is the amount integrated (using trapezoidal

%numerical integration in this case)


I = trapz(t_singledose_interp,amount_interp);


% I (for Integral) is 10,142,400 picograms


%Convert to grams and then milligrams, divide by 10^12 to convert to

%grams,dvide by 10^(-3) to convert to milligrams


I_milligrams = I *(10^(-12))*(10^3);


%%I_milligrams = 0.01 milligrams
.05% is not a lot! I take it that there's no accurate way to take the average amount in urine over time and figure backwards to the original dose?
 
Okay, this is where you fall on your face, because this is well documented (that it stays in the system at a level it straddles the detection not detectable threshold), and has now been similarly documented with other chlorinated PEDs.

Not just Jones. Not just UFC. Not just MMA.
I mean, let's be clear. Pulsing is just a theory that could explain why someone could test negative and then positive again but it's not the only theory, in fact it's not even the most likely theory. The only ones who know if they doped again are the athletes themselves and they have no reason to tell the truth if that's the case. The only argument against re-ingestion that I've seen here is a general deduction that no-one would be dumb enough to do it again so therefore Athlete X didn't do it again (so therefore he must be pulsing). I think you can see several problems with this line of reasoning especially when applied to Jon Jones who IS dumb enough to make the same mistake over and over. Somewhere in this thread I listed like 10 very plausible reasons why Jon Jones may have re-ingested Tbol after already getting caught. And let's not forget that he had ample time to do it as he was not tested for more than 8 months in late 2017 and the first half of 2018. (According to kflo, just one urine test in over a year)
 
its addressed in the agreement.

the arbitration was like any arbitration.
Kflo, you make some good points and you make some questionable points but where you really lose fellow Shedoggers is when you just flat out ignore or deny facts that make jon jones look bad. In this instance, you just say "look at the arbitration" knowing FULL WELL that it didn't properly address the issue that I mentioned. It's almost as if you are just arguing on jones' behalf as opposed to debating the facts. Some facts leave "loopholes" for jones but most of them show him to be the cheater that he has been exposed as. If you want to say that there is a little doubt as to whether he cheated again, fine, but to say that he DEFINITELY DIDN'T CHEAT is low, especially for you, brother.
 
WTF? How often do you have two murders where they can't tell if the blood under the fingers might have been from the first and not the second one? Or that they'd claim that was the case?

That's a big-time fail, gotta say.
I don't often commit murders but when I do, I use jon jones.... (the most interesting man in the world)

Come on, man.... you know the thing! jon, there's a dead dude under your bed and why do you have blood under your finger nails?

jones: I love Jesus and rainbows and, fuck you losers, you can't do what I do!
 
Kflo, you make some good points and you make some questionable points but where you really lose fellow Shedoggers is when you just flat out ignore or deny facts that make jon jones look bad. In this instance, you just say "look at the arbitration" knowing FULL WELL that it didn't properly address the issue that I mentioned. It's almost as if you are just arguing on jones' behalf as opposed to debating the facts. Some facts leave "loopholes" for jones but most of them show him to be the cheater that he has been exposed as. If you want to say that there is a little doubt as to whether he cheated again, fine, but to say that he DEFINITELY DIDN'T CHEAT is low, especially for you, brother.
you know i never said that.
 
Is the assumption of a steady rate of excretion valid with something that gets stored in fat and doesn't metabolize (vs. water soluble)? That seems like a pretty key factor. It's kind of the entire crux of the idea of "pulsing," isn't it?

I agree that pulsing (detectability alternating with non-detectability) is a legitimate phenomena but I don't think it's due to prolonged fat sequestration. USADA CEO Travis Tygart was interviewed about the Jones situation. At 29:45 he attributes the detectability and non-detectability in Jones sample (within the same day) to changes in specific gravity. One may argue that pulsing over a short time is due to changes in specific gravity and over a long time is due to prolonged fat sequestration but that seems like a stretch to me.

If changes in specific gravity can account for pulsing in the short term then why can't it account for pulsing in the long term?

I'm inclined to think there is no real appearance and disappearance of metabolites, only detectability and non-detectability due to changes in specific gravity.

29:45

 
............
If changes in specific gravity can account for pulsing in the short term then why can't it account for pulsing in the long term?

I'm inclined to think there is no real appearance and disappearance of metabolites, only detectability and non-detectability due to changes in specific gravity.

It makes sense given the vanishingly tiny picogram levels of detection. I don't know if all WADA labs can even test at picogram levels given that they had a MRPL standard of around 2ng/m for anabolic steroids.
 
In regards to the "dick pill", he lied when he first showed the receipt and then later provided the correct one that showed the pill and the masking agent in the same order. It's like the "dick pill" was provided as a built-in excuse but what you are failing to mention is the ADDITONAL BANNED SUBSTANCE that was in the pill but was not flagged on the test. You know that whole situation is shady as fuck and the whole "there was this drug dealer in the gym" story is bullshit.
Where do you get this masking agent idea from?
It was clomiphene on the receipt as far as I remember, an AI. Nothing to do with masking anything.
 
Where do you get this masking agent idea from?
It was clomiphene on the receipt as far as I remember, an AI. Nothing to do with masking anything.
You are correct, brother, clomiphene is to offset steroid use but the pill was the built in excuse.
 
@kflo @fzoid4454

@acannxr @Captain Herb @TrueFightFan I'm proud of this.

@dim_ despite our disagreements in previous threads I think you can appreciate this.

If you recall from the paper

GZY3MP5.jpg


Here's our original data (single subject, single dose of 20mg)

67hCCv5.jpg


Because it is "highly unlikely that excretion follows first order kinetics" I moved on to what I thought was the next logical step:

If the excretion curve(for instance the bateman curve) is not the solution to a second order linear and homogeneous differential equation then it might be the solution to a third order linear homogenous differential equation.

Here's a brief review I wrote of basic differential equations

V9OsUgS.jpg


Here's the actual formula I get

cH7IfhG.jpg


After following this process

https://i.stack.imgur.com/jPW4J.gif

from this stackexchange post https://math.stackexchange.com/posts/3515710/revisions

My results are displayed graphically for a max of about 290 days for a single dose of 20mg oral turinabol (no inter-individual variation accounted for)

wEheBQl.jpg

I must say it is a good fit that makes good theoretical sense. If a "first order elimination" doesn't work move up to a "second order elimination" (i.e. a third order differential equation solution for regression). Good fit. Semi-theoretically informed. About 290 days. (Actually 283 days upon closer inspection)

I have yet to apply the relevant method to the data in order to repeat for multiple doses. I will do that next!
 
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@kflo @fzoid4454

If you recall from the paper

GZY3MP5.jpg


Here's our original data (single subject, single dose of 20mg)

67hCCv5.jpg


Because it is "highly unlikely that excretion follows first order kinetics" I moved on to what I thought was the next logical step:

If the excretion curve(for instance the bateman curve) is not the solution to a second order linear and homogeneous differential equation then it might be the solution to a third order linear homogenous differential equation.

Here's a brief review I wrote of basic differential equations

V9OsUgS.jpg


Here's the actual formula I get

cH7IfhG.jpg


After following this process

https://i.stack.imgur.com/jPW4J.gif

from this stackexchange post https://math.stackexchange.com/posts/3515710/revisions

My results are displayed graphically for a max of about 290 days for a single dose of 20mg oral turinabol (no inter-individual variation accounted for)

wEheBQl.jpg

I must say it is a good fit that makes good theoretical sense. If a "first order elimination" doesn't work move up to a "second order elimination" (i.e. a third order differential equation solution for regression). Good fit. Semi-theoretically informed. About 290 days.

I have yet to apply the relevant method to the data in order to repeat for multiple doses. I will do that next!
You are fitting to a single observation set. It’s not only inter-individual, it’s variability for the same individual from a different observation set. It’s variability from potential multiple dosages. There’s variability from behavioral choices during the observation period.

I’m curious to where this lands but you’re not going to have sufficient data, guaranteed, to make any meaningful conclusions or estimates. Not with the data we have today. But maybe you’ll be the guy to get funding for the next study. That would be cool. :)

But keep at it. Follow your own instincts.
 
@kflo @fzoid4454 I'm not finding a significant difference between single and multiple doses. If you recall I was able to reproduce Cowan's model for the "introducing multiple doses part". However Cowan's model does not account for decay after the "introducing multiple doses part" so I had to make some assumption. Simply put I made the assumption that "after accumulating it decays as it would have had it not accumulated". I think that is perfectly reasonable.

Keep in mind that despite the lack of a "jigsaw saturation pattern" the for loop I implemented was the exact same. The only reason it looks different is because in prototypical previous examples we introduced new doses at a slower rate than the decay rate. For turinabol m3 which has a very slow decay rate, we introduce doses much more frequently in relative terms.


Cowan's model for the accumulation segment:

rg41EWg.jpg


My extension of Cowan's model using the aforementioned assumption:

LQvCVjB.jpg


283 days for a single dose of 20mg , 292 days for 30 doses of 20mg daily

This case may be pathological, I need to come up with a procedure for the decay segment that generalizes to other data sets.
 
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@kflo you gotta admit. Even though we disagree a lot throughout this thread you gotta give me props for

1) recreating Cowan's model (for the accumulation segment)

and

2) Fitting a third order solution to a differential equation to the data (after all previous orders were said not to work so I took the next step)

I know you give me props, I just wanted to pat myself on the back again :)

Even Cowan said he had trouble constructing the model (solely for the accumulation part) which I was able to do with relative ease.

BTW I didn't copy a script from stack exchange for exponential fitting. I ready the theory and created my own.
 
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