Post by RichHutchison on Feb 20, 2009 13:40:36 GMT -5
This doesn’t seem to be a very interesting subject, even among
Masters lifters, but I thought I’d post it anyway. In fact, I am going
to post it on both the ADAU and the 100% Raw bulletin boards.
(The AAU doesn’t seem to have an official bulletin board or forum.)
Note that this is relevant only to Men’s Masters Full 3-Lift Powerlifting.
As a geriatric lifter, I’ve always been curious about the Masters
Age Factors sometimes used for Best Lifer awards. I have not
been able to find explanations for the methodologies used
to develop these sets of coefficients. This includes the Old
and New McCullough coefficients, as well as the Schwartz
Masters Formulas. It seems that these coefficients, especially
the Schwartz numbers, overly/unfairly favor older lifters.
I have plotted them, and it’s obvious that Schwartz is way out
of whack because it is unfairly generous to lifters in their 50s
and even more so in their 60s. That’s probably irrelevant,
because it doesn’t seem that anyone is using them now.
The McCullough factors seem reasonable in that the curves
are at least smooth, indicating no spikes or dips in strength
across the age spectrum. The old McCullough factors are
used by the AAU for their MAMs (Masters Age Multipliers).
The newer McCullough factors used, e.g., by the APF, give
slightly lower handicaps to older lifters. I can only speculate
that the coefficients were lowered after older lifters proved
to be stronger than expected.
Using these coefficients, in my 60s, I have blown away
guys in their 40s and 50s who had very impressive record
setting Totals. Although I had gotten respectable Totals,
something didn’t seem right.
So I tried to determine the accuracy of those sets of age factors
by comparing them to real current data from the record books.
I did some simple statistical research which might even have
some value in better understanding the correlation between
aging and strength.
1. I looked at all the American and world record Totals
from the AAU, ADAU, and 100% Raw.
2. I took the best Masters Totals from the combined data.
So now I have the best Totals from all 3 feds combined.
3. I calculated the average Total for each age group across
weight classes.
4. I plotted these averages. The curve is not completely
smooth, presumably because of the lack of participation
in certain areas, but also simply because phenomenons
can pop up occasionally to skew the curve. But overall,
the trend line shows what most of us would expect;
a definite steady decline for lifters in older brackets.
5. I calculated new coefficients that would normalize
results from different age brackets based on age 40.
6. I plotted these new coefficients against the older ones,
and – low and behold – they give a wee bit more credit
to some younger lifters and significantly less to older ones.
OK, if you’re not completely disinterested by now, let me
just add that the coefficients that represent normalization
of existing raw totals, along with supporting charts and graphs,
are available by email to anyone who wants to see them,
as well as even more nauseating details about methodology.
I could post the new coefficients on here, but not the charts
or graphs, which are in Excel.
Is anyone interested? If not:
1. Do you think that things are fine and should be left alone?
2. Would you prefer to make Best Lifter awards subjectively?
3. You’re not interested in the relationship between aging and strength?
4. Other?? ???J
Masters lifters, but I thought I’d post it anyway. In fact, I am going
to post it on both the ADAU and the 100% Raw bulletin boards.
(The AAU doesn’t seem to have an official bulletin board or forum.)
Note that this is relevant only to Men’s Masters Full 3-Lift Powerlifting.
As a geriatric lifter, I’ve always been curious about the Masters
Age Factors sometimes used for Best Lifer awards. I have not
been able to find explanations for the methodologies used
to develop these sets of coefficients. This includes the Old
and New McCullough coefficients, as well as the Schwartz
Masters Formulas. It seems that these coefficients, especially
the Schwartz numbers, overly/unfairly favor older lifters.
I have plotted them, and it’s obvious that Schwartz is way out
of whack because it is unfairly generous to lifters in their 50s
and even more so in their 60s. That’s probably irrelevant,
because it doesn’t seem that anyone is using them now.
The McCullough factors seem reasonable in that the curves
are at least smooth, indicating no spikes or dips in strength
across the age spectrum. The old McCullough factors are
used by the AAU for their MAMs (Masters Age Multipliers).
The newer McCullough factors used, e.g., by the APF, give
slightly lower handicaps to older lifters. I can only speculate
that the coefficients were lowered after older lifters proved
to be stronger than expected.
Using these coefficients, in my 60s, I have blown away
guys in their 40s and 50s who had very impressive record
setting Totals. Although I had gotten respectable Totals,
something didn’t seem right.
So I tried to determine the accuracy of those sets of age factors
by comparing them to real current data from the record books.
I did some simple statistical research which might even have
some value in better understanding the correlation between
aging and strength.
1. I looked at all the American and world record Totals
from the AAU, ADAU, and 100% Raw.
2. I took the best Masters Totals from the combined data.
So now I have the best Totals from all 3 feds combined.
3. I calculated the average Total for each age group across
weight classes.
4. I plotted these averages. The curve is not completely
smooth, presumably because of the lack of participation
in certain areas, but also simply because phenomenons
can pop up occasionally to skew the curve. But overall,
the trend line shows what most of us would expect;
a definite steady decline for lifters in older brackets.
5. I calculated new coefficients that would normalize
results from different age brackets based on age 40.
6. I plotted these new coefficients against the older ones,
and – low and behold – they give a wee bit more credit
to some younger lifters and significantly less to older ones.
OK, if you’re not completely disinterested by now, let me
just add that the coefficients that represent normalization
of existing raw totals, along with supporting charts and graphs,
are available by email to anyone who wants to see them,
as well as even more nauseating details about methodology.
I could post the new coefficients on here, but not the charts
or graphs, which are in Excel.
Is anyone interested? If not:
1. Do you think that things are fine and should be left alone?
2. Would you prefer to make Best Lifter awards subjectively?
3. You’re not interested in the relationship between aging and strength?
4. Other?? ???J