Poverty is the world’s number one killer. Oppression
is the world’s number one cause of poverty. Meanwhile, whenever
gain sufficient power, they not only impoverish the victims, but also
murder wholesale, invade their neighbours and spread their misery as far
as they allowed.
poverty: the world’s
Poverty is well known to be far and away the greatest factor in Loss
of Life Expectancy (LLE) . In other words, if you
want to make people live longer, the single best thing you can do is make
“The data on poverty are truly impressive. In one study, the
Chicago area was divided into sections based on socioeconomic class.
The difference in life expectancy between the highest- and lowest-class
sections was 9 years for white males, 7 years for white females, and
nearly 10 years for nonwhites of both sexes. [...]
“There is also an abundance of data from foreign sources. In
one study, Montreal was divided into sections by socioeconomic class,
and the difference in life expectancy between the highest-and lowest-class
sections was 10.8 years for men and 7.3 years for women. A Canadian
Ministry of Health Study in 21 cities divided the population into five
equal parts (quintiles) by income, and found a difference in life expectancy
between the highest and lowest quintiles to be 6 years for men and 3
years for women. (Note that the 20% with lowest income would hardly
be classed as poverty cases.) A study in Finland divided the nation
into four "social groups" and found a 7 year difference in life expectancy
between the highest and lowest. A study in France found that professional
and managerial men live 4 years longer than white collar workers, 9
years longer than skilled laborers, and 13 years longer than unskilled
“Within technologically advanced nations there are effective
programs to provide poor people with reasonable medical care and an
adequate diet, but such programs are much fewer and less effective on
an international basis. This leads to much larger variations of life
expectancy with socioeconomic level, as evidenced by correlations between
life expectancy and per capita gross national product for various nations.
In well-to-do countries like the United States, Western Europe, Australia,
and Japan, life expectancy is about 75 years, whereas life expectancy
in a sample of other countries is 72 years in Poland, Czechoslovakia,
and Rumania; 67 years in Mexico and Central America; 64 years in Turkey,
Brazil, and Thailand; 59 years in India, Iran, and Egypt; about 45 years
in most central African countries; and 38 years in Afghanistan and Gambia.
Lest these differences be ascribed to racial factors, it should be noted
that Japanese have 10 years more life expectancy than other East Asians,
and blacks in the United States have more than 20 years longer life
expectancy than African blacks. The history of white versus black life
expectancy in the United States is illuminating here: in 1900, there
was a 18-year difference (50 years versus 32 years), whereas it is now
reduced to 6 years, reflecting the improving socioeconomic status of
Here is a plot of "Life Expectancy at Birth in Years" against "GDP per
Capita in PPP adjusted US Dollars" for 49 representative nations:
[Data taken from the CIA World Factbook, Feb. 2007. Life
expectancy list, 2015. GDP
per capita list, 2015.]
Be aware that you can never trust government statistics. You should be
especially wary of statistics from dictatorships, and even more especially
wary of statistics from socialist
dictatorships, for whom lying for the cause is mainstream dogma.
However - despite the likely gaming of life expectancy statistics in
Cuba, North Korea and others - there is a clear high correlation between
increasing GDP per Capita and increasing life expectancy. The R2 [or rē]
 figure of 0.6071 means that
60.71% of the differences in life expectancy can be predicted just by
knowing the difference in GDP per capita!
Note that the logarithmic relationship 
- “Life Expectancy = 7.059 Ln(GDP per Capita) + 6.395” - means
that a little bit more money makes a much bigger difference to the life
expectancy of the poor than to that of the rich.
Notice also that by a GDP per capita of $13,000, the life expectancy
has already reached over 73 years old. This reflects research
suggesting that “happiness” doesn’t increase much as
income rises above $13,000.
oppression causes poverty
There is a similar causal relationship between freedom and wealth, or
put differently, between oppression and poverty. Here is a plot of “GDP
per Capita in PPP adjusted US Dollars” against “Combined Average
Freedom House Rating” for 73 representative countries:
[GDP per capita data taken from the CIA World Factbook, Feb. 2007. GDP
per capita table. Freedom data taken the Freedom House report for
average ratings table.]
Note that in the Freedom House rating, 1 represents “most
free” and 7 represents “most repressive”. There is a
clear high correlation between the amount of repression and decrease in
GDP per capita. The R2 of 0.6916 means that 69.16% of the (negative)
changes in GDP per capita can be predicted just by knowing the repressive
index for country’s regime!
Note that the logarithmic relationship 
- “GDP per Capita = -14964 Ln(Amount of Oppression) + 29379”
- means that a little loss of freedom in a relatively free country has
a far greater negative effect on wealth than a little loss of freedom
in a relatively oppressive country. Alternatively, you need to introduce
far more freedom into a repressive country to make a difference, than
you do in an already relatively free country.
This explains why it has taken so long for the countries of the Soviet
Bloc and East Asia to recover from socialism, while relatively minor reductions
of government power under Reagan and Thatcher had such major wealth generating
effects. It also explains how socialist governments manage to so quickly
impoverish rich countries, and how the USA has managed to stay so consistently
richer than Europe. Freedom is not just the sum of its parts.
Meanwhile, socialist dictatorships kill far more than any other.
They also have a much greater tendancy to invade their neighbours and
to export their disfunctional dogmas.
Here is a small selection of socialist mass murderers and their main
Mass Murderers 
and German Socialism
||15 million murdered outright, with another 19 million
killed stopping his attempts to take over the world. Hitler invaded
Austria, Czechoslovakia, Poland, Denmark, Norway, Holland, Belgium,
France, Yugoslavia, Greece, Crete, Egypt, Libya, Algeria, Morocco,
Russia, and a few other places.
|Stalin and Russian Socialism
||20 million murdered outright. The Soviet socialists
also exported ‘revolution’ to tens of countries around
the world, with inevitable results. The Soviets also directly invaded
Czechoslovakia and Afghanistan.
|Mao and Chinese Socialism
||10 million murdered outright. Another 30 million killed
by a famine directly resulting from Mao’s policies. China, like
Russia, exported and continues to export revolution around the world,
with similar results. The Chinese also directly invaded Tibet, India
and Vietnam, as well as constantly threatening invasion of most of
its other neighbours. The Chinese are arming and funding the Islamist
Sudanese government currently engaged in an ongoing genocide believed
to have killed at least 2 million people so far.
|Castro and Cuban Socialism
||Castro is an unusual socialist in mostly murdering
people outside ‘his’ country. He was directly involved
in almost all the socialist revolutions (failed and successful) in
Central America, South America and Africa. A count of his murders
would have to take into account those killed by socialism in Congo,
Yemen, Eritrea, Egypt, Syria, Somalia, Libya, Algeria, Ethiopia, Iraq,
Chad, Nicaragua, El Salvador, Guatemala, Costa Rica, Honduras, Argentina,
Uruguay, Guyana, Grenada, Dominican Republic, Colombia, Chile, Bolivia,
Haiti, Venezuela, Peru, Angola, and probably a few others! Castro
also helps Islamist murderers, especially the PLO/Fatah. He is almost
certainly the fourth most successful socialist mass-murderer. Castro’s
murdering sprees were of course funded and armed by the Soviet socialists.
Castro has of course also murdered many Cubans.
|Kim-il Song & Kim Jong-il and North Korean Socialism
||1.7 million murdered outright in North and South Korea.
Kim-il Sung also invaded South Korea. Another 2.8 million were killed
in stopping that attempted conquest. Kim Jong-il’s famines have
caused another 3.5 million deaths. His starvation of ‘his’
people is ongoing.
|Ho Chi Minh and North Vietnamese Socialism
||3.5 million killed - approximately half in the war
to stop their socialist invasion, and half two years after the US
coalition left and the socialists once more invaded and enslaved the
South. The Vietnamese also invaded Cambodia. Approximately half a
million “boat people” fled socialist Vietnam, many died
in the attempt.
|Pol Pot and Cambodian Socialism
||1.65 million murdered outright in a period of three
years. In that short time, the Cambodian socialists managed to invade
Thailand, Vietnam and Laos - all of its direct neighbours. Their democide
 was stopped they were in turn
invaded by socialist Vietnam!
|Saddam Hussein and Iraqi Socialism
||300,000 murdered outright, including the use of poison
gases and biological weapons on the Kurds and Shias, and the draining
of the southern wetlands. 1 million killed in his invasion of Iran.
Saddam also invaded Kuwait, threated Saudi Arabia, funded terrorism
against Israel and caused
two of the worst environmental disasters of modern times.
|Idi Amin and Ugandan Socialism
||300,000 murdered outright. Amin exported terror across
Africa and the Middle East. The Ugandans also directly invaded Tanzania.
|The Derg and Ethiopian Socialism
||1.4 million dead, 1 million of that by famine caused
by the Derg’s “scientific socialism”. Unusually
the Derg didn’t manage to invade any neighbours, mostly because
they spent their reign constantly fighting to keep their regions under
|The MPLA and Angolan Socialism
||550,000 dead in decades of war, attempting to bring
the ‘revolution’ to the people. Like with Ethiopia’s
Derg, their uncooperative victims meant that they had little chance
to invade their neighbours.
|Gaddafi and Libyan Socialism
||Gaddafi runs one of the most repressive regimes in
the world and has done so for decades. His regime is so repressive,
that it is hard to get any sort of estimate for how many he has murdered
within Libya. Gaddafi played a subbordinate role in almost all of
Castro’s African revolutions. He was also one of the most blatant
sponsors of Islamist terrorism worldwide.
and Italian Socialism
||As well as cooperating with Hitler’s mass murder
and invasions, Mussolini independently invaded Abyssinia (modern Ethiopia),
killing 400,000 in the process.
This list is far from exhaustive, nor has socialism stopped killing around
1. Cohen give a
nice simple explanation of LLE:-
“There are many ways of expressing quantified risk, but here
we will use just one, the loss of life expectancy (LLE); i.e., the average
amount by which one’s life is shortened by the risk under consideration.
The LLE is the product of the probability for a risk to cause death
and the consequences in terms of lost life expectancy if it does cause
death. As an example, statistics indicate that an average 40-year-old
person will live another 37.3 years, so if that person takes a risk
that has a 1% chance of being immediately fatal, it causes an LLE of
0.373 years (0.01 x 37.3).
“It should be clear that this does not mean that he will die
0.373 years sooner as a result of taking this risk. But if 1,000 people
his age took this risk, 10 might die immediately, having their lives
shortened by 37.3 years, while the other 990 would not have their lives
shortened at all. Hence, the average lost lifetime for the 1,000 people
would be 0.373 years. This is the LLE from that risk.”
2. r is known as the “correlation
coefficient”. r2 is known as the “coefficient of
3. A logarithmic relationship is the
reverse of an exponential relationship. In an exponential relationship,
things get bigger faster and faster. In a logarithmic relationship, things
get bigger slower and slower.
For example, the following equation describes the simplest exponential
y = 10x (1)
As x gets bigger, y gets bigger and y gets bigger faster and faster.
Any positive feedback
system, like a nuclear explosion, can be described by an exponential
x = log10 y (2)
Equation (2) means exactly the same as equation (1), except this time
we care more about what happens to x. As y gets bigger, x gets bigger,
but x gets bigger slower and slower. Equation (2) describes a logarithmic
relationship. Any negative
feedback system, like the way your body regulates your temperature,
can be described by a logarithmic relationship.
Every exponential relationship can be looked as a logarithmic relationship,
and vice versa.
Mathematicians often use a special number called ‘e’ (~2.72),
instead of 10:
y = ex (3)
x = loge y = ln x (4)
e is used because it has some special properties that make the sums in
calculus - mathematics for calculating the slopes of curves and the areas
under curves - easier. The logarithm base e is sometimes called the “natural
logarithm” and written as “ln”. When the base of the
logarithm is not made explicit, for example “y = log x”, it
is assumed to be a base 10 logarithm, as in equation (2).
4. Figures for the number of people
killed by various socialist leaders are by necessity only estimates. This
site is a fascinating, and very thorough, resource for those interested
in where the various estimates come from.
5. Genocide refers to mass murder
amongst a particular group/race of people. Democide refers to indiscriminate
mass murder across acountry’s whole population.An example of a
genocide was the mass killing of Tutsis by Hutus in Rwanda. An example
of a democide was Mao’s Cultural Revolution.