Week 5 Notes – Multiple Homicide & Serial Killing

Identify the different kinds of multiple homicide (serial, mass, spree, terrorist, corporate, etc.)
Understand the role of the media in creating moral panics around multiple homicide
- Sensationalist reporting → public fear → political pressure → potentially misguided policy
- “TV serial killer myth” inflates perceived prevalence
Compare and contrast the various types of multiple homicide
- Key axes: number of victims, temporal spacing, geographic dispersion, motivation, offender’s relationship to victim, presence/absence of a cooling-off period

Umbrella term sometimes labelled “multiple murder / multicide”
Sub-categories most commonly referenced in criminology/criminal justice:
- Serial killing
- Spree killing
- Mass killing
- Plus politically or economically motivated variants: terrorism & corporate killings (e.g., knowingly selling lethal products)
Importance of precise definitions
- Research counts, policing resources, and media framing all hinge on thresholds (e.g., $\ge 2$ vs. $\ge 4$ victims)
- “Definitional blindness” can mask prevention opportunities if we focus on arbitrary cut-off numbers rather than offender pathways

Multiple victims
- Academic research threshold: $\ge 4$ victims
- FBI operational guideline: $\ge 2$ victims
Temporal pattern
- Extended period: days → months → years
- Presence of a cooling-off period distinguishes serial from spree killings
- Each killing considered a separate event
Spatial pattern
- Multiple locations frequent
- Some offenders transport or lure victims to a common dump site for familiarity/control
Thematically linked by similarity of subject or purpose (modus operandi / signature fantasy)

Demographics (dominant pattern)
- Predominantly White males
- Killings usually intra-racial
- Mean offender age ≈ $30$ years
Cognition & planning
- Moderate–high measured intelligence → facilitates premeditation & avoiding detection
- Disordered or delusional thought does not necessarily preclude elaborate planning
Social context & accomplices
- Most act alone
- Exception: research by Gurian (2011) documents female offenders who partner with male accomplices
Developmental/criminogenic background
- Childhood neglect & abuse common
- Criminal versatility: property crimes, sexual assaults, arson prior to homicide (Mouzos & West, 2007)
Employment status
- Many unemployed or marginally employed when apprehended – ties into routine activities theory (more free time, target exposure)

Disproportionately drawn from vulnerable populations
- Prostitutes, homeless persons, individuals in care facilities
- Typically strangers to the offender → lowers risk of identification
Notable exception: female solo serial killers frequently target family members (e.g., “black-widow” poisonings)
Targeting logic
- Ease of access & minimal guardianship (Routine Activities Theory)
- Spatial overlap with offender’s awareness space (home, work, leisure environs)

Power
- Driven by sadistic fantasies; desire for dominance/control (classic sexual serial killer)
Revenge
- Avenging perceived past mistreatment; may be directed at specific individuals or symbolic proxies
Loyalty
- Killing as proof of commitment (e.g., cult murder–suicides, mercy killings of relatives)
Profit
- Financial gain directly (life-insurance, robbery) or to remove witnesses to an originally profit-motivated offense
Terror
- Advancing extremist political/religious agenda (psychotic delusions or organized ideology)

Linkage Blindness
- Separate jurisdictions = data silos → failure to connect related homicides
- Outcome: underestimation of victim counts; serial offenders remain active longer
Definitional Blindness
- Obsession with thresholds (e.g., “3+ victims”) can obscure near-misses or attempted killings with identical risk factors
- Ethical question: Should prevention focus on actual or potential multiple homicide offenders?

Decade counts of distinct serial killers/teams show a bell-shaped curve
- Peaks between $1970$ s– $1990$ s (~240 known offenders in the 1980s)
- Apparent decline since 2000
- Explanatory hypotheses: better forensic tech (DNA, CCTV, cell-phone geolocation) + higher clearance rates = shorter criminal careers

Extremely rare phenomenon
- $11$ temporal groupings (chains) of serial murder in 20-yr span
- $52$ known victims ( $63\%$ female)
- $24$ victims acquainted with offender; remainder strangers
- Predominantly intra-racial interactions
Offender profile
- $13$ known killers → $12$ males, $1$ female
- All but one operated solo
- Majority unemployed at arrest
Crime-scene context
- $6$ of $11$ series motivated by or including sexual elements

Offense chronology: NSW, Dec $1989$ – $1993$
Crime-scene: Belanglo State Forest; $7$ bodies discovered, 1 additional intended victim escaped
Conviction: $7$ consecutive life sentences + $18$ yrs without parole
Illustrates
- Transient victim pool (international backpackers → reduced guardianship, delayed missing-person response)
- Geographically focused dump site (familiar terrain, offender advantage)
- Media-induced moral panic → pressure on NSW Police task-force

Victimization inequality: Marginalized victims attract less investigative urgency (“less dead” phenomenon)
Balancing civil liberties vs. surveillance: Expansion of DNA databases, CCTV, phone metadata raises privacy debates
Media responsibility: Distinguishing informative coverage from sensationalism to avoid glamorizing offenders

Serial killing is statistically rare yet culturally salient → expect exam questions on media vs. reality
Master threshold definitions (Serial vs. Spree vs. Mass): memorize time, location, cooling-off differences
Understand Routine Activities Theory links to victim selection & offender opportunity
Be able to apply the Power/Revenge/Loyalty/Profit/Terror typology to hypothetical scenarios
Cite Linkage Blindness & Definitional Blindness when discussing investigative or research limitations
Recall Australian data points (1986–2006) & Ivan Milat case for regional examples
Note declining trend lines; be prepared to argue causes (technology, inter-agency communication, cultural shifts)