The Birth of Statistics
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Transcript The Birth of Statistics
Karl Marx
The Foundation of Critical Criminology
Social Context
Capitalism emerges:
1. The Industrial Revolution
2. The development of overseas markets and products
Capitalist Effects:
Overcrowding
Underpaid/overworked
Unemployment as machines replace people
Harsh living conditions (urban mass)
Capitalists: workers are part of the machine
Karl Marx (1818 – 1883)
German philosopher,
economist revolutionary
Most influential theorist
Macro level critique
(theoretical scope)
Not focused on crime in
particular
Crime is merely a part of a
broad social system
Material conditions…
Intellectual context
Enlightenment Influence
Traveled across Europe
Begins with Hegel and notion of society (ideas)
Society evolves ‘naturally’ from tribal to rational
Breaks from Hegel
People MUST be able to realize their potential
Focus on material reality
The culmination of a classless society
People act in their own interests
If you don’t, its because needs are hidden from
you...
Outlook shaped by material conditions
Pre-Marx
Consensus Model
Enlightenment ideals assumed:
Homogeneity
Laws and Social control practices reflects the morals and
norms of the majority
CJS operates to benefit majority of the population
Change occurs: ‘evolution’
Does not questions what is crime and why....
E.g. Social Contract
Conflict Model (Marx)
Law - in both its application and codification - is not
neutral; Law reflects the interests of powerful
segments of society and functions to benefit certain
populations at the expense of others.
Assumes:
Pluralism: diverse society
Definitions of deviance tied to dominant ideologies
morals and norms of the powerful
Change occurs:‘revolution’
Social institutions (including ‘crime’) are ordered by economy
Historical Materialism
Method of ‘doing history’ by looking at the ‘real’
conditions during particular periods
Veronica Foster
Economic conditions >> physical conditions
Historically specific modes of production
1.
2.
productive forces: labour power & means of
production
social and technical relations of production:
relations between classes of people and the objects
of their work.
Materialism: change economic and social relations
E.g. WW2 Factory Demands
Capitalist Mode of Production
Capitalism:
Economic system whereby the means of
production are privately owned by capitalists
who purchase labour power from those who
do not own or have access to the means of
production (proletariat)
Labour power is purchased for wages
Legal process:
Economic power = political power to control or
create laws
Capitalist Mode of Production
Need for capital to realize profit through the
sale of a product produced by a worker
Worker is paid less than the value that is
contributed to the value of the product or
service
US: surplus value of manufacturing is +400%
Exploitive relationship between
worker/capitalists
E.g. See “Fast Food Nation” (2006)
Capitalism:
The Superstructure
Class
People are ordered by their
relationship to production
Proletariat: working class
only have labour
Bourgeois: own the means of
production (e.g. Trump)
Class conflict will lead to
revolution
Capitalism: The Superstructure
Ideology
Ways of thinking support material
reality
Position of ruling class reflected in
ideology
Presented as natural or ‘common
sense’
False Consciousness
People have natural interests & if
they do not behave in these
interests, it is because they have
been deceived about their interests
“You say you want a revolution...”
Conflict is inherent to class structure
Revolt is inevitable...
Eventually the oppressed will become
conscious of their exploitation
Socialism without exploitation....
Social control and legislation focused
on quelling uprisings & not
interested in addressing concerns...
Shift from enlightenment’s belief that the
state was ‘naturally neutral’
The Birth of Statistics
The Social Mechanics of Crime: Adolphe Quetelet
Statistics
Central component of criminological theories that seek to
explain criminality
But what do statistics tell us?
1. Norms
2.
Standard
Ordinary
Rates
Indicators of trends
Used to predict
Birth of Statistics (early 1800s):
Social Context
Democratic State
Industrial Revolution
Emergence of Welfare State (taxation)
Model of factory/society
Duty tied to rational production
Urbanization
Dangerous Classes :
not controlled by ideology of industry or the social contract
Counts related to diseases – moral panics
Birth of Statistics (early 1800s): Social
Context
Media
Emerging literacy
Moral Panics
Overreaction about particular groups
Science: Desire to control nature
Natural laws /social laws
Personal freedom
limited by environment & constitution
Statistics
Desire of Government to control population
Practices of enumeration
Previously for taxation
Training /standards of conduct
Church & military
State encroaches on social life
Knowledge on citizens expands
Welfare state (‘programs’ & tax payers)
Crime Statistics
Compte 1827
General record of all criminal offences in Paris
Divided by types of justice system (civic or criminal)
Records indicate:
1. Number of previous offences
2. If accused was acquitted or convicted
3. Punishment (if convicted)
4. Time of year of offence
5. Age, sex, occupation and education of accused
Became more detailed over time, looking for correlates
Records about ‘habits’ begin to circulate...
Adolphe Quetelet 1796-1874
Key: methodological & conceptual
contributions
Biography
Avoided deterministic arguments of later
positivism
Known for scientific rigor
Math & Astronomy
Academic (not concerned with crime
orig.)
Social Mechanics
Interest in applying natural laws
to human actions:
Social facts: social laws
governing societies
Laws identified through
analysis of statistics
Think about the criteria of
critical theory…..
Quetelet’s 3 Statistical Rules
1.
Average ‘man’ = natural distribution
Bell curve (midpoint)
Average person = centre of gravity
Physical characteristics of a population
Moral statistics (suicide, marriage, etc)
KEY: Individual differences not as important as the
SUM of individuals (Society)
Quetelet’s Statistical Rules
2. Law of large numbers
Need a large sample
3. Law of Regularity
Changes are rare
Predictability
Moral Statistics
Statistics indicate social problems
Crime, suicide, etc...
Social laws are more complex than natural
law because of freewill:
Not reducible to individuals
Space for freedom to act
Laws govern human behaviour
Humans somewhat predictable (social beings)
We study moral statistics today...
Quetelet’s Analysis of Crime 1826-1829
Consistency of Crime
Types of murders and property
offences
Regularities in court practices
Patterns exist!
Dark Figure of Crime
Aware problems of statistics
Quetelet’s Analysis of Crime 1826-1829
Criminal Propensity
Everyone has potential to be
criminal
Propensity, not
Propensity
determinism!
could be visualized
Probability & chance
Individuality was the ‘chance’
that impacted the ‘probability’ of
criminality
Quetelet’s Analysis of Crime 1826-1829
Individuality:
Upbringing
Ability to improve situation
Young males, poor uneducated without employment or in
lowly employment would have a greater propensity to
commit crimes.
Poverty and lack of education did not cause crime!
Extreme disparity (temptation & suffering) did....
Quetelet’s Analysis of Crime 1826-1829
Society as the cause of crime:
Society ‘prepares’ crime, the guilty are
the instruments by which it is executed
Social conditions are more influential
than individual will
Quetelet’s thesis supports:
Social transformation
Less focus on incarceration as
deterrence