I see absolute poverty as persistent prolonged suffering that
could
be alleviated by money if only it were in the pocket. Absolute poverty
is, probably, more the lack of hope than the lack of money.
I never knew real poverty. My personal sufferings could not
be
cured
by money. They were caused by conflicts, some of them internal, some
with
the environment. Looking back at some later periods of my adult
life,
I see that I certainly lived in a relative poverty by American
standards,
but not on the average Russian scale. As a consequence of my idealistic
and bookish upbringing, I never had lust for money in Russia; besides,
being rich was something to be ashamed of in the Soviet time, and not
just
because of Communist propaganda. All my book heroes, mostly explorers
and
scientists, were selfless and idealistic. Only the crooks and thieves
could
be rich because being rich was against the correct Soviet order of
things.
The ruling class did mot need much money: it bartered power.
I could do with little, I could be occasionally wasteful,
but it
never
occurred to me that making money could be my personal life goal.
Nevertheless,
I was always afraid of poverty as if it were a painful a debilitating
disease,
which, I still suspect, it is. To be poor in the absolute sense seems
like
a terrible fate. Money seems to be the only working remedy against a
buildup
of spiritual entropy and personal decay caused by poverty, but this is
a shallow statement: a tautology. There are many other ways to decay.
Yet
the power of money reaches far along all of them.
From the position of active humanism (which is the work
toward
decreasing
human suffering, see Essay
29. On Goil and Evod), as much as poverty is real and
painful,
it should be fought against. This poverty is really a disease, even if
the poor people do not see it this way because everybody around is
poor.
To raise people from poverty is like to cure the sick. This is why, in
my personal opinion, treating poverty does not need any philosophical
justification.
This point of view can backfire, however. It seems that
poverty
has
always been regarded as natural as accidental death, sudden illness,
and
aging.
"For you always have the poor with you, and
whenever you
will,
you can do good to them; but you will not always have me." (Mark,
14:7)
While the poor could still sing and dance, it was an acceptable
form of social life. At the opposite end of the scale has been the idea
that the poor deserved their poverty, with which I find difficult to
argue
because the term deserve, as well as justice in general, have
nothing
to do with principles of nature or logic.
Humanism is an idea, and as any idea, if given a primacy
over
basic
human needs, it can lose its moral authority. A basic human need is to
feel good, and one can feel good by watching people who have not a
single
reason to feel good. I do not see a contradiction, however, between the
millennia long glorification of violent victory over the enemy and not
so clearly long lasting and very diverse stock of ideas spanning from
the
religious duty of compassion to modern liberal ideas and humanism.
But is poverty natural? This touchy question is open to
investigation
because we have observable measures of wealth. Moreover, wealth itself
is the only human quality quantifiable with high accuracy. As I
believe,
this is why it has been so popular as the ultimate personal goal in
modern
number-crunching society where nobody can dispute wealth but glory for
one is shame for another.
As for any quantifiable property, the bell curves of income
and
wealth
distribution should have two wings: a small number of people would be
very
poor, a small number would be on the other side, and the majority would
crowd around the average (see Essay
16, On Somebody Else). I reproduce it here:

Figure 31.1
This is what happens with height, physical strength,
intelligence,
health,
and other human qualities. Same, probably, applies to the ability of
people
to work, earn money, and stay away from poverty. But this is not so
with
income and wealth.
Somehow I got interested in the problem of reducing world
poverty,
especially,
in the United
Nations program. I became very skeptical after I had found some
arguments
for the natural origin of poverty. I also found myself in a good
company
of sceptics.
Suppose, 20% of the world population possess 80% of world
wealth,
which
is more or less close to the actual state of things. The ratio 20-80 is
known as Pareto's
law and was formulated in 1896 by Vilfredo
Pareto. It follows from his simple
equation (see APPENDIX A) for distribution of wealth or
income
in society. In its simplest and strictly qualitative form, it was
described
in the New Testament:
For to every one who has will more be given, and he
will
have
abundance; but from him who has not, even what he has will be taken
away
( Matthew,
25: 29).
Pareto's law fascinated me since my youth, when I had first learned
about it. Pareto's law describes a very general and yet
mysterious
principle of human society. There are various manifestations of this
principle,
not at all related to money. Thus, according to Zipf's
law, a very small number of words constitute a very large
proportion
of texts (In English, the, of, and to are the winners).
There
are other formulations and applications of this general principle of
uneven
(logarithmic) distribution, so different from the normal bell curve
distribution
of physical properties in nature where most property carriers are in
the
middle range. In a society, most owners are in the lower range and a
few
can own more than all the rest combined.
Gini
coefficient
is a widely used measure of income inequality.

Figure 31.2.
The square chart is a
cumulative
distribution of a resource known as Lorenz curve. The horizontal axis
is
percentage of population and the vertical axis is the percentage of
total
wealth/income it possesses. If it was distributed equally between all
members
of society, then 10 % of people would have 10% of property, 80% would
have
80%, etc., and the distribution would look exactly as the diagonal. The
actual unequal distribution, for example, along Pareto's law, would
look
like the curve that allocates 20% of the resource to 80% of owners,
and,
therefore, 80% of the resource to 20% of owners .
The Gini coefficient is the ratio (fraction or percentage)
of the
area A between
the curve and diagonal to the area below the diagonal, i.e., half the
square.
It is a measure of deviation from the perfectly egalitarian diagonal
distribution
with 80% of people having 80% of wealth and 20% having 20% of it.
While Pareto's curve is calculated along an equation with an
only
approximately
defined constant (see APPENDIX A), the Lorentz curve is empirical. It
is
difficult to compare them. Nevertheless, the 20-80 rule corresponds to
Gini coefficient between 65 and 75. All such measures,
however,
terribly simplify reality. There is also a big difference between
income
and wealth. With big wealth (cattle, bank account) one may have no need
of any income. On the other hand, inflation and debt may
annihilate
big wealth and income.
Therefore, highly hypothetically speaking,
in order to double the
income
of
80% population, the benefactor should find a source of income equal to
five times the amount of the current wealth: one part for the poor and
four parts for the rich.
If not, the rich would gradually take away most of the
surplus
given
to the poor, not necessarily because of their ill will but because of
the
Pareto's pressure.
This, of course, is a gross simplification. The condition of
people
can be improved through infrastructure, institutions, education,
temporary
subsidies, vaccination, and one-time investments that could not be
appropriated
by a small fraction of the population. Education, for example, is
something
that cannot be taken away (it can by discrimination, however). This is
what the UN anti-poverty projects intend. They are
institutionalized
as banks (World Bank and IMF)
and I find it hard to believe that any bank can be an institution of
philanthropy.
But this is all politics (i.e., the realm of who deserves what)
while I am interested in the nature of things.
All I can say is that to loan money to poor countries to
fight
poverty
seems both immoral and irrational.
Source of information on
world
debt.
http://www.worlddebt.com/
This Essay may be an ignorant speculation, but it is based
on some
available
knowledge. My conclusion is that in order to give more to the poor
without
giving more to the rich, one has to spend significant additional money
for keeping the society from following the Pareto's curve. In other
words,
the benefactor has to enslave (control is a milder term) the
beneficiaries.
The one who pays orders the music.
This experiment has been conducted on a truly global scale
in
Communist
countries. The Russian Gini jumped from 25 to 40-45 after the
dismantling
of Communism. It plunged in Cuba after the advent of Castro:
Gini of Cuba:
| 1953 |
57.13 |
| 1962 |
28.11 |
| 1973 |
28 |
| 1978 |
27 |
One can find if not a wealth of money than wealth of data in
the
truly
amazing database
of World Institute for Development Economic Research (WIDER)
that evaluates world income inequality in terms of Gini coefficient,
country
by country. The data were collected in different ways and from
different
segments of population, and they are often contradictory.
Before I quote the database, I would like to refer to a
short but
highly
eloquent web page
of Goetz Kluge
on
world income inequality, from which I borrow the following data.
| Year |
1960 |
1970 |
1980 |
1989 |
1998 |
| Gini |
54 |
57 |
60 |
65 |
70 |
| Pareto |
77/23 |
78/22 |
79/21 |
82/18 |
85/15 |
It is obvious that the world inequality of income is
growing. But
how
does it map onto geography?
The WIDER database (1.6 MB in Excel format) contains 5068
entries.
The
maximal Gini coefficient per household is 79.5 for Zambia in 1970 and
the
minimal Gini was 12.1 for urban China in 1982. It may seem that Zambia
was the epitome of capitalist exploitation and China a paramount
of
egalitarian democracy.
Note, that the data are about income, not wealth.
Many Communist countries had Gini below 20 at various times:
Hungary
in 1996 and 1997, China for many years, Slovak Republic
around
1990, Romania in 1989. Many had Gini slightly over 20 before the
collapse
of Communism. The pool of egalitarian societies included also Sweden in
1980-1983 and rural Pakistan in 1970, although no two countries seemed
to be farther apart in all aspects. Overall, Pakistan had Gini around
35,
as if it were a West European country. Finland in 1988-1991 had Gini in
the lower 20's, but, with a different methodology, between 40 and
50 in 1992-96.
Most developed countries were in the lower 30's: France,
Canada,
Italy,
Japan, Norway, Spain. So was Germany, but according to one source, its
Gini was between 18 an 20 in 1990-91.
Greece had Gini of 40, and USA, with its Gini of 35-45, was
in the
same
fortyish category.
Most inequality could be found in poor countries, and this
is
where
metodologies agree:
Gini over 50: Mexico and Philippines in 1960's,
Malaysia in
1973,
Kenya in the 90's, Costa Rica in 1989-95. Gabon
in 1960, Sierra Leone in 1968, and Brazil in 1995 had Gini around 60.
Gini
of 70 (for one exception) was not observed and Gini over 60 is
extremely
rare.
I am forced to come to the conclusion that:
If Pareto's law is in the nature of things, then there seems
to be
a
disturbing problem in the UN projects of decreasing poverty.
In order to decrease
inequality,
the existing social order has to be changed.
And that was exactly the idea of Marx and the entire tree of
thought
that grew from it, from Communism to the West European Socialism. From
what I know about Karl
Marx, he and his family knew poverty well. It is the power of
government,
not necessarily, oppressive, that alleviates the Pareto pressure.
In an attempt to improve the fate of the poor, without
taking
anything
from anybody and without changing the social order, most of the
expenses
will go to the rich and the rest to the poor, not to mention the money
to maintain the staff for all that.
The first ("rich") component of the expenses can be
decreased if
the
social order is changed, but the change would cost, probably, the same
money as should be otherwise given to the rich.
The choice between poverty and better conditions coming from
a
benefactor
involves the choice between freedom and dependence. Only the free,
however,
can face this choice.
The best anti-poverty investment, therefore, seems to be the
investment
in democratic socialism. With democracy, however, we are getting into a
giant swamp of politics, which is today the art of buying and selling
democracy,
see newspapers and TV. Democracy is an expensive luxury.
As we saw from examples of Sweden and rural Pakistan, the
equality
of
income does not necessarily prevent poverty.
I think that it is not inequality and not even poverty by
Western
standards that should be fought, but suffering, regardless of its
origin.
Throughout history, the way I see it, constructive efforts
have
always
been driven by concentrated wealth, not by the divided one. The
government
can govern because it taxes the masses. It is because of the
concentration
of wealth in the hands of the rich that society can make general
progress,
develop new institutions, services, and art, and become more liberal.
It
is crucial for the technological progress even if we frown upon it.
Vilfredo Pareto was an arch-enemy of Marxism. No wonder: his
law
has
been the strongest argument against expropriation of
expropriators.
Concentration of property is as natural as relative poverty. There is
nothing
natural, however, in absolute poverty in modern society. To accept
absolute
poverty is as shameful as accept public execution and torture (see Essay
32: On the Split).
Wealth is not immoral but poverty is.
Loss of freedom is a side effect of loss of poverty.
APPENDIX
A. From : http://cepa.newschool.edu/het/profiles/pareto.htm
In the Course, his [Pareto's] main economic
contributions
was his exposition of "Pareto's Law" of income distribution. He
argued
that in all countries and times, the distribution of income and wealth
follows a regular logarithmic pattern that can be captured by the
formula:
log N = log A + m log x
B. I could not find an established
explanation
of Pareto's principle. Any explanation should at least consider two
distant
examples: language and society.
I explain it for myself in the following
non-professional
manner.
1. Biological life is competition for limited resource.
Human
society
creates surplus resource that can be stashed away from immediate
consumption
and used for production and maintaining social order. The material
surplus
can be as much a carrier of social work as electricity a carrier of
mechanical
one. An animal uses brute force for dominating other animals. A human
uses
food, Things, other humans, and money as an equivalent of all of the
above,
for the same purpose. This seems to be a Marxist view of society: the
driving
force of social mechanics is surplus that cannot be eaten on the spot.
Society is never in equilibrium: this is why history
happens.
2. Pareto's distribution can be perceived as a grossly
deformed
normal
distribution. If normal distribution exemplifies chaos, Pareto's
distribution
points to a strong order. The deformation is possible because
concentration
of money in one hand provides enough energy to take money—one by
one—from
those who have little and cannot resist. This "one by one" is very
important:
energy can be invested, returned, and reinvested, which is in a sharp
contrast
with its deterioration and dissipation in the physical world. It
happens
until an equilibrium establishes. In other words, the rich can hire and
army and the poor cannot. Moreover, the rich can hire a
government
or simply be it.
3. The resistance of the majority to the inequality is
decreased
because
they have a kind of reward from the rich who offer protection,
stability,
and other benefits, real or fictional. In other words, the inequality
is
a social contract: you can grow bloody rich, but give me a job.
4. In the end, Pareto distribution is the result of
clustering:
like
modifiers cluster around meaningful words, which results in the Zipf's
distribution, members of society are not independent and cluster around
the leaders and employers of all kinds. There is a small number of
large
cities because people gravitate to large cities. There is a small
number
of large fortunes because money sticks to money and people to
stability.
There is a small number of large companies because small companies are
eager to sell themselves to large companies. The Pareto pressure is a
result
of hierarchy of domination. Or, to put it differently, it is the result
of dependence, so different from the physical world with the statistics
based on independent events. The total of wealth and income is more or
less constant over short periods of time and individual values depend
on
each other: a case of competition for a limited resource. On the
contrary,
IQ and height of a man do not depend on IQ and height of any other
unrelated
man.
5. If we consider just the general shape, not exactly the
plot of
a
mathematical function, we can see that Pareto distribution looks like a
cutout from a wing of normal distribution, which means that there is
anything
but a random process behind the former.
A
beautiful animated comparison of both can be found at the StatSoft
site.
In Figure 2 I compare them as four graphs. Probability
density
shows the chances (vertical axis) that a random sample will have the
property
value on the horizontal axis. Property can be, for example,
height,
wealth, income, number of publications, total number of sexual partners
(a few Casanovas and Don Giovannis have most victories), etc. Samples
are
humans selected at random. Probability distribution shows
the chances (vertical axis) that a random sample will have the value
between
zero and the value on the horizontal axis.
NOTE: Probability
density is a derivative of probability distribution. Curves 1-4
reproduce
only the general shape. They are not the plots of the actual functions.
See on the Web the plots of both density and distribution functions for
normal
and Pareto
distributions.
Figure 31.3
This is what the plots tell us when we move along the curve
from
left
to right.
Curve 1. Very few samples have
the
property
very much below the average, most have the property close to average.
Curve 2. The number of samples
with
a very
low property is very low, the same true about high values; the
middle,
however, is very egalitarian, it is almost straight, like the
egalitarian
diagonal in Figure 2. Note, that the high end cutout from Curve 1
starts from the lowest values in Curve 2.
Curve 3. The number of
samples
with
low values of property is very large, but all the large values belong
to
very few samples.
Curve 4. The number of
samples
quickly grows
when the value is low, but only a small fraction of samples falls into
the region of high values. This curve looks different form the
cumulative
curve in Figure 31.2 (it is Figure 31.2 flipped over the diagonal) ,
but
has the same meaning. Curve 4 reads: the probability that somebody
selected
at random will be in the lower value range grows fast, but slows down
in
the high range.
Note, that the high end "cutout" form Curve 3 starts from the lowest
values in Curve 4.
There were a lot of debates around Pareto distribution.
Its
shape
does not look completely realistic because it suggests an exaggerated
ultimate
poverty in its left wing. It is realistic, however, over most of its
range.
See APPENDIX G.
C. From: http://cepa.newschool.edu/het/essays/paretian/paretoptimal.htm
(there is an interesting
discussion)
A situation is not Pareto-optimal, then, if you can
make
someone
better off without making anyone else worse off.
My view is that the world philanthropists, probably, want distribution
to be ethical, and, therefore, not Pareto-optimal. This is possible,
however,
only if a certain order of
material distribution (i.e., of wealth
and
income) is imposed on a country. An example of an efficient,
internal,
and Pareto-optimal imposition of this kind is land reform.
D. from : http://www.worldwatch.org/pubs/paper/155facts_myths.html
Myth: The World Bank and the IMF exercise absolute
power
over
the economic policies of developing countries.
Fact: In general, governments of poor countries,
like
governments
of rich countries, only adopt policies to which they are committed as a
result of domestic politics and circumstances. The World Bank and the
IMF
have required dozens of poor-country governments to make “structural
adjustments”
such as privatizing state companies and cutting spending, in return for
loans. Yet borrowers have for the most part only implemented
measures
they would have taken anyway, such as cutting spending in order to
repay
debt. A new World Bank survey of ten African nations found that only
two,
Ghana and Uganda, had made and stuck to the reforms demanded of
them.
(pp. 38–39)
Therefore, the creditors want social changes but do not have armies
and budget to enforce them.
E.
"Most of the poverty and misery in the world today
is due
to
bad government— repressive or corrupt or simply incompetent regimes and
failed states," George
Soros.
This is something one does not need any mathematics to notice. What
Soros
actually criticized was the use of foreign aid by the US Government for
geopolitical reasons. The UN World Bank argues that poverty should be
fought
across the national borders in order to prevent the hostility and
revolt
of the poor against the rich—a typical geopolitical reason.
Much
more on
Business Week site.
F. After this page had been
published, I
found a reference to the book by William Easterly: The Elusive
Quest
for Growth: Economist's Adventures and Misadventures in the Tropics. The
MIT Press, 2001. Judging by the review in The New Yorker, March
18, 2001, it confirms my conclusions, which are, most probably, not
new.
G. An
extremely interesting econophysical analysis of money as analog of
energy
gives a non-Pareto (Boltzmann-Gibbs) distribution of probability of
owned
money with the same general shape, plus other interesting for a
specialist
ideas. Exchange of money is regarded as similar to exchange of energy
in
molecular collisions. The closest analogy is a society of
gamblers.
This model does not take to account the ability of money to
grow
on
the flow of energy and dissipate, as it would be in life-like
non-equilibrium
models, but the results are very realistic. The autors acknowledge the
limitations of equilibrium models but justly regard them as valid
approximation.
In fact, the actual distribution of income (A.
Dragulescu,
V.M. Yakovenko. Evidence for the exponential distribution of income in
the USA. The European Physical Journal B, 20, 585-589 (2001); can be
found
at: Yakovenko)
is just the normal shape very much skewed to the left (Figure 31.4).
Figure 31.4
This seems to confirm my thesis that social order is
measured by
the
distortion of the normal distribution. Egalitarian and Pareto
distributions
are two extreme examples. It would be interesting to find data on the
food
consumption of feeding animals in a groop. It might be
represented
by the weight distribution of grazing animals, for example. I bet it is
normal: animals do not have either capitalism or communism. The
quantitative
economics of tribal societies is also interesting.