Introduction to Criminal Justice: Counting Crime and Choice Theory

Administrative Procedures and Lecture Resources

• Class Roster and Attendance Tracking:
  • Recorded attendees and enrolled students include Colby Burleson, Adam Ellis, Bailey Feterole, Grace Hoak, Ariana Jackson, Braden Johnson, Riley Mahoney, Samuel Noah, Daniel Norma, Erica Ramirez, Lorena Salas, Jonathan Screepy, Jasmine Villanueva, and Alyssa Watson.
  • Jamie Ricardo was noted as absent from the official physical roster despite participating in person; registration status requires administrative verification (e.g., recent addition or online section mix-up).
• Lecture Recording Policy:
  • Lectures are digitally recorded and posted to the Desire2Learn (D2L) online platform under the module explicitly titled Class Recordings.
  • The practice originated during COVID-19 remote instruction via Zoom. Live Zoom streaming has been discontinued, but local lecture recording remains standard practice.
  • Primary Utility of Recordings:
    • Provides an automated study resource for absent students, eliminating sole reliance on peer notes.
    • Allows enrolled students to review complex concepts or specific lecture segments.
    • Serves as an instructional review tool to evaluate coverage depth and delivery consistency.

Overview of Crime Measurement and Statistical Trends

• Role of Statistics in Social Sciences and Criminal Justice:
  • Degree programs in social sciences (including upper-level Criminal Justice bachelor's tracks) heavily incorporate statistical methodologies.
  • In criminal justice, quantitative analysis centers primarily on calculating and analyzing crime rates.
• Perception vs. Empirical Reality of Crime Trends:
  • Public Perception: A widespread belief exists that crime rates have been consistently rising over recent decades.
  • Media Influence: The proliferation of 24-hour news channels and immediate smartphone notification systems increases constant exposure to worldwide criminal events, skewing public perception toward escalating violence.
  • Empirical Reality: Over a recent 10-year period, national crime statistics demonstrate a slight but steady decline in overall crime rates.
• Utility of Categorization:
  • Aggregating total crime provides a macro-level overview, but statistical breakdown into discrete categories allows targeted analysis (e.g., comparing homicide trends directly against burglary rates).

Categorical Classifications of Crime

• Major offenses are divided into four primary categories for statistical, legal, and analytical tracking:
  1. Violent Crimes
  2. Property Crimes
  3. Public Order Crimes
  4. Economic Crimes

Violent Crimes

• Violent crime encompasses offenses involving direct physical force or the threat of force against an individual.
• Motivational Frameworks of Violence:
  • Expressive Violence: Unplanned violent acts arising from emotional escalations, interpersonal conflict, or environmental triggers (e.g., an alcohol-fueled fight in a parking lot escalating into a stabbing or shooting) without a primary secondary gain goal.
  • Instrumental Violence: Goal-oriented violence utilized as a tactic to achieve a specific objective, typically financial gain (e.g., an armed robber striking a victim to steal personal belongings).
• Subtypes and Patterns of Violent Offenses:
  • Gang Violence:
    • Historically persistent phenomenon across human groups (e.g., 19th-century New York street gangs).
    • Prohibition provided structured organized crime and street gangs with illicit revenue streams.
    • The crack cocaine epidemic of the late 1980s and early 1990s created a surge in territorial street gang violence fueled by illicit drug market profits.
    • Gangs frequently cause collateral damage to non-involved civilians.
    • Geographic Case Studies: Shreveport, Louisiana maintains dedicated large-scale anti-gang police units to address rampant gang activity. Hot Springs, Arkansas experienced an unprecedented surge in its homicide rate during 1997–1998 due to violent turf disputes among rival drug gangs following a leadership vacuum.
  • Homicide vs. Murder:
    • Homicide: The taking of any human life (not inherently a crime, e.g., lawful self-defense or state executions).
    • Murder: The unlawful taking of a human life.
  • Classifications of Multiple Homicides:
    • Mass Murder: The killing of $3$ or more victims in a single incident at one location (a target-rich environment). Examples include school shootings or workplace violence (historically termed "going postal" following workplace homicides by postal workers). Mass murderers typically treat the event as a suicidal last stand, rarely surrendering to law enforcement.
    • Spree Killing: Multi-victim homicides occurring across multiple locations over a brief duration without a distinct cooling-off period (e.g., the historical case of Charles Starkweather, which inspired the film Natural Born Killers, involving cross-country travel, convenience store clerk murders, carjackings, and evasion).
    • Serial Killing: The murder of multiple individuals over an extended timeframe, characterized by single-victim incidents, distinct psychological triggers, a ritualistic buildup, commission, and a mandatory cooling-off period before re-escalation. Perpetrators typically target a specific victim demographic.
  • Intimate Partner Violence (IPV):
    • Formerly and commonly referred to as domestic violence.
    • Research indicates that intervention strategies depend on the perpetrator's community ties. Offense likelihood decreases via law enforcement separation and arrest threats if the offender is stably employed with community ties; conversely, unemployed offenders without local ties frequently return immediately upon police departure.
  • Hate Crimes:
    • Violent or property offenses explicitly targeting victims due to specific demographic characteristics (e.g., race, gender, religion, sexual orientation).
    • Statutorily structured not as distinct isolated offenses, but as sentencing enhancements attached to underlying base crimes (e.g., a robbery motivated by target demographic bias triggers a higher mandatory prison term than a randomized robbery).

Property Crimes

• Property crimes occur with far higher frequency than violent crimes (statistically occurring roughly $7$ times more often).
• Primary Subcategories of Property Offenses:
  • Larceny / Theft: The unauthorized taking and carrying away of personal property belonging to another. Historically required taking without the victim's immediate knowledge; modern statutes treat larceny as synonymous with general theft.
  • Burglary: Unlawful entry into a residential dwelling or commercial structure with the intent to commit a theft or felony therein.
  • Arson: Willful burning or destruction of property by fire. Classified as a property crime unless human life is endangered inside the structure, elevating the offense.
  • Extortion / Blackmail: Obtaining money, property, or services through coercion or threats of future harm/exposure.
  • Embezzlement: The fraudulent appropriation of property or funds by a person to whom such property was entrusted (e.g., a corporate bookkeeper routing institutional funds into a personal shell corporation).
  • Forgery: Creation, altering, or falsification of written documents or financial instruments with fraudulent intent (e.g., signing another individual's name to a stolen paper check).

Public Order Crimes ("Victimless Crimes")

• Public order offenses involve consensual criminalized behaviors deemed detrimental to the moral or social well-being of general society.
• Primary Categories: Prostitution, illegal gambling, and illicit substance abuse.
• Philosophical Rationale:
  • Labeling these acts as "victimless" stems from the absence of a distinct, non-consenting individual victim.
  • Legal prohibition rests on the theory that society as a whole suffers systemic harm from the consequences of the behavior:
    • Gambling: Financial ruin resulting from excessive gambling displaces families, creating public welfare liabilities.
    • Substance Abuse: Leads to uncompensated emergency medical treatment costs (borne by tax-paying citizens), loss of employment stability, housing destruction, and secondary property crimes committed to fund addictions.
• Evolving Legal Statuses:
  • Gambling: Historically illegal nationwide (e.g., Hot Springs' illegal gambling era at venues like The Vapors nightclub, which operated illicit slot machines in restrooms until a 1967 gubernatorial crackdown using sledgehammers). Today, state legislation and ballot measures have legalized commercial casinos and track wagering (e.g., Oak Lawn). Private unmonitored high-stakes home games remain illegal.
  • Prostitution: Remained illegal across most jurisdictions, though legalized within licensed, regulated brothels in roughly $3$ rural counties in Nevada.

Economic Crimes and White-Collar Crime

• Differentiated from standard property crimes based primarily on the status and operational context of the perpetrator.
• Organized Crime: Structured enterprise operations dedicated strictly to supplying illegal goods and services (e.g., loan sharking, bootlegging, illegal gambling operations, drug cartels) as modeled by historic figures like Al Capone.
• White-Collar Crime: Non-violent financial crimes committed by business professionals, executives, or legitimate corporate entities using standard commercial structures as a disguise for fraudulent activity.
  • Etymology: Originates from the distinction between executive office workers wearing white dress shirts ("white-collar") and manual/industrial laborers wearing blue work uniforms ("blue-collar").
  • Ponzi Schemes: A fraudulent investment operation where returns promised to existing investors are paid using funds acquired from new investors rather than legitimate profit earnings.
  • Case Example: Bernie Madoff orchestrated the largest Ponzi scheme in history, defrauding high-profile investors, professional athletes, and celebrities (e.g., Kevin Bacon, Kyra Sedgwick) of billions of dollars by guaranteeing unrealistic, consistent investment returns (e.g., $50\%$ returns).

Primary Methods of Crime Data Collection

Uniform Crime Reports (UCR)

• Origin: Established by the Federal Bureau of Investigation (FBI) in $1929$ to construct a standardized national crime database compiled from voluntary monthly local police agency reports.
• The Part I "Big Eight" Offenses:
  1. Murder and Non-negligent Manslaughter
  2. Rape
  3. Robbery
  4. Aggravated Assault (involving weapons or severe harm)
  5. Burglary
  6. Larceny-Theft
  7. Motor Vehicle Theft
  8. Arson
• Core Functions:
  1. Establishes total absolute counts of reported crimes nationwide.
  2. Enables annual calculation of standardized national crime rates using the standard formula:

$\text{Crime Rate} = \frac{\text{Total Number of Offenses}}{\text{Total Population}} \times 100{,}000$

3.  Allows longitudinal comparison across years to evaluate macro-level trends.

• Clearance Rates:
  • Measures the proportion of reported offenses resolved by law enforcement.
  • Cleared by Arrest: At least one individual is arrested, formally charged, and turned over to court for prosecution.
  • Cleared by Exceptional Means: Police definitively identify the perpetrator and establish sufficient evidence for prosecution, but external circumstances prevent physical arrest (e.g., suicide or prior death of the suspect, as seen in resolved cold cases using modern micro-sample DNA testing).
  • Historical Clearance Benchmarks (2014 Data):
    • Murder / Non-negligent Homicide: $\approx 63\% - 64\%$
    • Rape: $\approx 40\%$
    • Aggravated Assault: Moderate-to-high clearance.
    • Robbery: Lower clearance rate relative to violent assault.
    • Burglary: Consistently exhibits one of the lowest clearance rates due to minimal physical evidence left behind by perpetrators.
• Systemic Weaknesses of the UCR:
  1. Unreported Crime Exclusion: Completely misses crimes unrecorded by or withheld from law enforcement ("the dark figure of crime").
  2. Officer Discretion and Classification Variance: Offense counts depend strictly on how responding officers draft reports (e.g., filing an incident as breaking and entering rather than statutory burglary excludes it from the Part I count).
  3. Federal Offense Exclusion: Excludes federal law enforcement arrest counts.
  4. The Hierarchy Rule: In multi-offense criminal incidents, only the single most severe crime is counted for statistics. (Example: If a suspect kicks in a door, assaults an occupant, shoots a bystander, and steals a getaway vehicle, only the shooting/attempted murder is counted, omitting the burglary, assault, and auto theft).

National Incident-Based Reporting System (NIBRS)

• Developmental Timeline: Initiated by the FBI in $1982$; fully designed by $1988$.
• Systemic Improvements over UCR:
  • Eliminates the Hierarchy Rule, capturing data for every distinct offense committed within a single incident.
  • Expands coverage beyond the Part I "Big Eight" to capture broader criminal classifications.
  • Requires narrative summaries and detailed contextual data for each incident.
• Transition: As of $2021$, the FBI officially retired the traditional UCR format, making NIBRS the sole national standard for law enforcement data collection.

National Crime Victimization Survey (NCVS)

• Origin: Established in $1973$ to measure unreported crime ("the dark figure of crime").
• Methodology:
  • Administered annually by the Bureau of Justice Statistics.
  • Samples approximately $240{,}000$ individuals aged $12$ and older across $150{,}000$ households.
  • Households remain in the survey sample for $3$ years before rotating out.
• Data Collected: Measures victim experiences over the preceding $12$ months, incident characteristics, and specific reasons for non-reporting to police.
• Key Findings: Identifies rape as one of the most underreported violent crimes due to victim shame, social stigma, fear of reprisal, or perceived law enforcement inaction.

Self-Report Surveys

• Methodology: Administered directly to target populations (primarily incarcerated juveniles, adult prison inmates, or probationers/parolees) asking for anonymous disclosures of lifetime criminal participation and substance abuse.
• Utility: Uncovers unrecorded offenses and psychological motivations.
  • Case Example: A self-report study evaluating inmates convicted of murdering law enforcement officers revealed that attacks were primarily motivated not by anger, but by perceived officer vulnerability (e.g., poor physical fitness, lax tactical positioning). This finding prompted nationwide implementation of mandatory law enforcement physical fitness standards and updated tactical training.
• Data Distortions:
  • Adult/Older Offenders: Demonstrate a statistical tendency to minimize or underreport prior illegal conduct.
  • Juvenile Offenders: Demonstrate a tendency to overrepresent or exaggerate criminal actions to inflate social status or project danger.

Quantitative Crime Trends and Comparative Metrics

The National Crime Clock (2022 Data)

• Violent Crime Frequency: $1$ violent crime every $25.6\text{ seconds}$.
  • Murder: $1$ offense every $24.8\text{ minutes}$.
  • Aggravated Assault: $1$ offense every $35.3\text{ seconds}$.
• Property Crime Frequency: $1$ property crime every $4.8\text{ seconds}$.
• Comparative Trend Tracking: In $2020$, a violent crime occurred every $24.7\text{ seconds}$. The increase to $25.6\text{ seconds}$ in $2022$ reflects a measurable decrease in overall violent crime frequency.

Anomalies and Data Manipulations

• The 2020 COVID-19 Anomaly: While overall public violent crime dropped significantly during pandemic lockdowns, intimate partner violence spiked dramatically due to extended residential confinement.
• Statistical Manipulation Caveats:
  • Historical instances exist where municipal police departments intentionally omitted or misclassified incident reports to artificially suppress local crime rates for political advantage.
  • Referencing Sergeant Sarasam and Mark Twain's adage ("There are lies, damn lies, and statistics"), quantitative metrics remain vulnerable to selective reporting, administrative spin, and initial reporting errors by local officers.

Foundations of Criminological Thought and Choice Theory

• Criminology Defined: A multidisciplinary social science dedicated to analyzing the nature, extent, causes, and control of criminal behavior, drawing from sociology, psychology, and biology.
• Choice Theory (Rational Choice):
  • Originating in late 18th-century Enlightenment philosophy, Choice Theory serves as the foundational framework for the United States criminal justice system.
  • Core Postulate: Criminal acts result from rational, free-will decisions.
  • Decision Matrix: Individuals weigh potential rewards (pros) against potential risks and legal penalties (cons).

$\text{If } \text{Pros (Rewards)} > \text{Cons (Penalties)} \implies \text{Crime Committed}$

$\text{If } \text{Cons (Penalties)} > \text{Pros (Rewards)} \implies \text{Crime Deterred}$

Deterrence Theory

• Deterrence assumes that if crime is a rational choice based on free will, altering the punishment calculus will prevent criminal behavior.

General Deterrence

• Objective: Prevents potential offenders in the broader public from committing crimes by making an example of convicted offenders.
• Mechanism: Publicly punishing an offender demonstrates the painful consequences of crime, instilling fear of punishment in society.
  • Anecdotal Illustration: Observing an acquaintance (e.g., a peer named Chris) wearing an orange jumpsuit collecting roadside trash as a court-ordered DWI penalty instills personal aversion in observers against driving under the influence.
• The Three Essential Elements of Effective Deterrence:
  1. Severity: The sanction must be harsh enough to outweigh the illicit benefits of the offense.
  2. Certainty: The perceived probability of being apprehended and punished must be exceptionally high.
  3. Swiftness (Celerity): The sanction must be imposed rapidly following the commission of the act.
• Empirical Findings on Deterrence Variables:
  • Impact Ranking: Empirical research proves that perceived certainty has the strongest influence on suppressing criminal behavior, far outperforming severity or swiftness.
  • Speeding Ticket Analysis: Increasing fine severity (e.g., raising a speeding fine to $\$1{,}500$) fails to eliminate speeding because drivers recognize that the probability of detection (certainty) remains extremely low. Drivers alter behavior merely to avoid detection rather than refraining from speeding.
  • Capital Punishment Analysis: The death penalty fails as a general deterrent to murder because swiftness is absent (offenders spend decades on death row appeals) and certainty remains moderate.

Specific Deterrence

• Objective: Applies sanctions to a specific convicted offender to prevent that specific individual from reoffending in the future.
• Evaluation Metric — Recidivism Rate: The percentage of previously convicted or released individuals who commit new offenses or commit parole/probation violations.
• Methods: Extended terms of incarceration or targeted rehabilitation (e.g., court-mandated residential substance abuse treatment eliminating the addiction driving property theft).
• Failures and Limitations of Specific Deterrence:
  • Impulsive/Intoxicated Crimes: Deterrence models fail when crimes are driven by sudden emotional explosions, extreme anger, or severe substance intoxication rather than rational premeditation.
  • Subcultural Learning ("Criminal University"): Incarcerating low-level offenders alongside experienced criminals often improves their criminal skill sets rather than deterring them.
  • Mental Illness Limitations: Sanctions cannot deter or correct genuine mental health disorders through punishment.

Mental Illness and Criminal Responsibility

• Distinguishing Genuine Mental Illness from Malingering:
  • True clinical mental illness is readily identifiable by trained professionals and law enforcement during field contacts or interrogations.
  • Case Study — The Hillside Stranglers: Serial killers Angelo Buono and Kenneth Bianchi committed multi-victim sexual assaults and murders in 1970s Southern California. Following arrest in Washington State, Bianchi attempted to feign Dissociative Identity Disorder (claiming an alternate personality named "Steve" committed the murders).
  • Interrogation Evasion Failure: Forensic investigators quickly exposed the deception; true Dissociative Identity Disorder patients cannot consciously invoke alternate personalities on command during interrogations. Bianchi's insanity defense failed, resulting in life imprisonment without parole.
• Treatment Imperative: Criminal sanctions fail to deter individuals acting under severe psychotic disorders; behavior modification requires clinical psychiatric treatment rather than punitive deterrence.