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Fonz....we're waiting!

ulter said:
Maybe if everyone asks George to post it he will. I am not sure why but George is the one sitting on it not Fonz.

Really? :confused: Ummmmmmmm.......George, where are you? Come out, come out wherever you are!
 
WannaImpress said:
You have read Fonzs' post on it? George has already posted it up? :confused: Hook us up!
No, read Fonz's post, the one drveejay11 linked at the top of the thread. The experiment as proposed would be close to pointless.
 
Silent Method said:

No, read Fonz's post, the one drveejay11 linked at the top of the thread. The experiment as proposed would be close to pointless.

Ok, right.

Cracker.

Fonz
 
Fonz said:


Ok, right.

Cracker.

Fonz

Or you could have said:

cracka%20saltine.jpg
 
Originally posted by Fonz
Ok, right.

Cracker.

Fonz
As always Fonz, you handle anothers differing opinion with poise and candor. As a mod you should be informed that racial slurs are frowned upon on this board. As a man you should be informed that calling someone a cracker makes you look gay.

Anyway...

Fonz's proposed experiment: "R-ALA vs ALA: A Blood Glucose Impact Analisis"
Fonz said:
I will be monitoring my BG using my Glucometer(Gluco-trend 2)
with the Softclix system.
In case people say this test is BOGUS, the serial
number of my glucotrend is GH02114809, the
type number is: 1861964 , and its in mmol/l measurement.
Happy? Good. Now.....

i.e.

All measurements WILL BE DONE in the AM only as there is
NO FOOD present in the stomach and BG levels are
lowest. This is the BEST time to measure BG fluctuations.
In fact the GTT test is best performed in the AM.
GTT=Glucose Tolerance test.
Values for BG will be delivered in the american and brit systems.
(I'll convert the mmol/l measurement to ng/dl)


Day 1(In the AM only)

1. Take BG measurement
2. Consume a SPECIFIC food.
(I'll give the exact macro-nutrients)
3. Take the r-ala(100mg)
4. Measure BG at the 1 hr mark and 3hr mark.

Day 2(In the AM only).

Same as above EXCEPT with normal ALA(100mg)

This will go on with 200mg r-ala(Day 3), 200mg ALA(Day 4),
300mg r-ala(Day 5), 300mg ALA(Day 6), amd so forth until
I reach 600mg r-ala AT ONCE.

After that is done I will tabulate the results and compare the
BG measurements mg per mg in respect to r-ala and
normal ALA and compare the POTENCY.

Now, for all our combined intelligence at AF, EF etc..., we have EXTRAPOLATED the actual potency of r-ala and normal ALA from STUDIES. No one has bothered to actually MEASURE their effects
on blood glucose bY PEOPLE without any diabetic complications.
We will do so now, and lay the r-ala vs ALA potency controversy
to rest once and for all. Also, not to mention the fact that we will learn how to MAXIMIZE the use of our ALA in regards to the food
consumed(Being carbs/fat/prot).
What's wrong here? This little experiment is so worthless if your attempting to compare r-ALA to ALA in consideration to their effects on blood glucose that it'd be much simpler to try and find whats good about this idea.

This little experiment will be good as a very limited and narrow test of the effects of intermittent r-ALA and ALA use, swapping one for the other after each passing day, in the limited dosing and timing scheme as shown, in one person for whom any myriad of relevant variables are not known.

Dude, at the very least, why not establish a baseline for one week, run r-ALA ONLY for a week, take one week off, and run ALA ONLY for one week?


Fonz, if you were really an engineer, much less a ( :FRlol: ) NASA engineer like your profile says, I hope they don't let you work with anything that has more than one part.
 
Silent Method said:

why not establish a baseline for one week, run r-ALA ONLY for a week, take one week off, and run ALA ONLY for one week?

I agree with Silent Method. Returning to baseline between the weekly trials would give the experiment's results increased validity.

However, there are so many confounded variables with this proposed experiment. By that, I mean that there are literally DOZENS of things, other than ALA or r-ALA, that can(and will) effect the "subjects" blood sugar levels. Things that cannot be controlled by the person conducting the research. The results would be dubious to say the least and could not be generalized accross a population of bodybuilders.
 
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