Let's assume that somebody knows what to do when it comes to
the U.S.
and European economic and banking situation.
And let's assume that they'll come back from their extended vacation (or
coma, as the case may be) at some point in the next few months and put things
in order. Further, let's assume that all
the destructive decisions that were cemented into the foundation of our current
crisis in the fourth quarter of 2001 can be jack-hammered into tiny bits and
used as aggregate for paving the path out of the mess we're in. Assuming all of this (aided by some mythical
unicorn tears, pixie dust, and the whisker of a saber tooth tiger - yes, it's
one of those potions) and you don't need to know what heteroscedasticity is and you can just
return to your nostalgic Father's Day festivities. However, assuming that any of the
aforementioned fail to materialize, read on.
As with most of the statistics we use to make sense out of
our world, a plethora of assumptions - both implicit and explicit - undergird our consensus 'knowledge'. I have yet to meet any
individual expert or group of scientists in any field who have the academic or
social integrity to actually state the assumptions that they have opted to
deploy untested and have the further decency to critique their own conclusions based on
the failure for those assumptions to hold.
I marveled at the digital tautology infused in the papers presented at a
conference from which I recently returned.
The scientific method, if invoked, meant that whatever
statement or conclusion was to follow must enjoy some hegemonic priority in the
minds of the listeners. Let there be
statistical significance in a regressed set of variables and, voilà,
we've got truth. InvertedAlchemy readers
are acutely aware of my critique of our untested assumptions in general and
their tragic behavioral and policy consequences. However, it's worth noting that the current
economic interventions being proposed in the G-20 are actually doing grave
damage to our ability to even sustain our statistical myth. And that, is the subject of this week's
observations.
Now some of you are more familiar - because you were
unwilling to sit through one of my statistics lectures at the University - with
the concept of dispersion than you are with the term heteroscedasticity (and
yes, I'll forgive that indiscretion).
And, for you, allow me to explain the following. Let's assume that you make a series of
observations that seem to work most of the time. For example, let's say that we survey the
world's middle class and find that, with additional money, we find that people
report a better quality of life. Using
regression, we conclude that, with more money, quality of life increases. However, when we extrapolate that observation
to the whole population, we find that the relationship not only doesn't hold
but we find that some people at very high levels of monetary wealth are
miserable and some people at very low levels of monetary wealth are quite self-actualized. Rather than rejecting our correlation
'truth', we explain the information that challenges the correctness of our
hypothesis as 'outliers' or 'unexplained' rather than holding the possibility
that we had the wrong hypothesis for
which we applied the wrong metrics
to confirm an imposed outcome. And we do this because, in the name of
convenience, we need to understand the world efficiently. I don't want to ask everyone from every
culture to respond to my attempt to understand the world. I want to ask a few people a few questions
and draw sweeping conclusions therefrom.
And here's the problem.
When the variables I think I'm assessing or measuring have dispersions
creating heteroscedasticity (frequently a function of metrics at the
measurement extremes of data), to gain confidence in my observations and the
resultant conclusions, I limit the data that I gather to insure: a)
self-fulfilling hypothesis retention; and, b) consensus among my
scientifically-minded colleagues who, like me, want reductionism over
complexity. Ironically, the most
damaging effect of heteroscedastic variables is not in their essence per se but rather in the 'error' or
'unexplained variance' that they represent to the generalizability of the model
and its conclusions.
Now, take a deep breath, grab a nutritious snack (possibly
some nerve conducting friendly egg yolks for your brain) and strap in for the
reason why I've used James Carville's 1992 presidential campaign slogan for
this post. The world - sorry to all of
you intelligent designers out there - is heteroscedastic. And that's the case for the part we think we
understand. That's bad news for all you
adherents to the method advanced in the 10th century by Ibn al-Haytham and
modernized in the 16th century by the likes of Galileo and Kepler. Most of what we confidently know that we know, we don't know. But here's what's worse. What's happening in Washington ,
Brussels , and
capitals across the G-20 is that we are adding scale to variables we do not
understand in the first place. We
already don't know how monetary supply behaves in manipulated interventions so
we put MORE money in. We don't know how
real property deflation (a risk of currency inflation) will impact our
long-standing social obligations so we create currency supply bubbles of
gargantuan proportions. We know that 'sovereign
debt' has the full faith and confidence of governments at a time when no one
has faith and confidence in governments so we develop schemes to issue more
sovereign debt! In other words, we are
increasing the dispersion in a variable set that we've already evidenced a
complete absence of mastery around and we somehow wait to see it show up in a
model that was wrong in its creation. At
the apex of this irony is the fact that the most wealthy - yes the uber-1% -
are clamoring for returns to invest their ill-gotten spoils and they're stuck
with, you guessed it, currency and sovereign debt. It must be a bummer to steal all the jewels
only to find out that the jewels are just paving stones!
So here comes the punchline.
What we need is to shrink. We actually need to have the courage to strive
for a
more elegant less. Now the cool reality is that we'll get there
one way or another. We can either take
the elixir of living within our suitable means or we can be served the ipecac
from less charitable hands. Starting
with a deflation of our egoic, dominion-infused certainty of control, we need
to accept that, in our finest moments, we describe, not explain (and certainly
never predict). Rather than seeking to
control, we are more suited to steward that with which we are entrusted. This does not suggest an aversion to accretive
impulses. It does, however suggest that
we need to increase the heterogeneity of the variables we measure while decreasing
the expectation of successful imposition of conclusions on disregarded
populations. Realizing that
unexplained variance is more likely a reflection of the sum of our projected
social monotony plus observational sloth rather than an unfathomable mystery,
we need to confront the reality that more input into a broken model actually
speeds the propagation of the problem rather than introducing any remedy. Heteroscedasticity is not our enemy but our
ill-conceived piling into its maelstrom will be our undoing.
In Integral Accounting parlance, we can seek phase and state
coherence where all of the utility we desire from a system is achieved leaving
the system with as much retained optionality as possible. Simply put, we must engage in a process of
removing ourselves from the end of consumption and see ourselves in
participation with a cycling and recycling of matter and energy. In a bizarre paradox, we may find ourselves DOING
MORE with LESS.
Hi Dave,
ReplyDeleteGreat post. In Bucky Fullers work he talked about more with less, using the term ephemeralization, as a generalized principle, therefore true in all cases. Nature is always consummately efficient, and always moving towards doing more with less. When ever we aren't not doing this we are going against the laws of nature, and it will not work, ultimately.
The end result of more with less is everything from nothing.
I have observed ephemeralization in action for many years in my own life and the lives of others, and while I dont have the scientific evidence, I hAve direct personal experience.
Warmly,
Christine