Presentation on theme: "Serial Killers Dr. Mike Aamodt Radford University"— Presentation transcript:

1 Serial Killers Dr. Mike Aamodt Radford University maamodt@radford.edu

Updated 09/14/2013

2 Types of Multiple Killers

Mass Spree Serial # of victims # of events # of locations Cooling-off period no no yes Note: # of victims for serial killers was revised from 3 to 2 at the 2005 FBI-sponsored symposium on serial murder.

3 Radford/FGCU Serial Killer Database

Currently has 3,337 serial killers 2,320 from the U.S. 1,017 from other countries Information on 9,289 victims (mostly U.S. and Canada) Began with student serial killer timelines 18 years of data collection Goals Accurate information for my forensic psychology class lectures Provide accurate information to the public Potentially assist law enforcement using statistical profiling models

4 Creating the Database Compiling names of serial killers

What is a serial killer? 2 or more victims (this is a change in definition) 2 separate events Cooling off period in between Determine whether person is actually a serial killer or a Spree killer (FBI no longer distinguishes serial and spree) Mass killer None of the above We eliminated 540 people found on common serial killers lists that are not actually serial killers Issues What to do with people who have killed once and clearly would have killed again had they not been caught? What about a person with one kill and nine attempts? Suspected v. confessed v. convicted “Organizational” serial killers

5 Organizational Killers

Serial – Individual Serial-Two murder Serial-Two events Serial-Three or more Serial – Team Serial – Organizational Serial-Gang Serial-Drug Enterprise Serial-Criminal Enterprise Serial-Cult

6 Creating the Database Gathering Information Sources Issues

True-crime books Newspaper articles On-line prison records Court documents Ancestry.com Internet sites Issues Accuracy of information Availability of information

7 Creating the Database Gathering Information

Information Obtained (141 variables) Demographics (age, sex, race, country, state, city) Childhood info Birth order, raised by, teased, abused Education and IQ Vocational and military history Criminal and forensic record Information about the crime Method, victim, location, partner Information about the trial NRGI, sentence, confession, New Section on Victims Names & dates Excellent check for data accuracy and will be useful in studying victims rather than killers Information on 9,289 U.S. and Canadian victims to date

8 Classifying the Killers

Motive Financial, thrill, power, revenge, anger, convenience Victim Age, sex, race High risk vs. low risk Acquaintance vs. stranger Location (e.g., home invasion, street, hospital) Method Strangle, bludgeon, shoot, stab, suffocate, poison

9 Classifying the Killers

Kills family Black widow (financial gain) Bluebeard (power) Attention (Munchhausen by proxy) Kills patients or other dependents Angel of death (power) Lethal caretakers (financial gain) Baby farmers (financial gain)

10 Classifying the Killers

Home invasion Rape or no sex Robbery or just killing Age of victim (elderly, family, adult female) Type of weapon used Torture? Overkill or mutilation? Staging, posing, totems?

11 Problems with Dates Date of Victim Death

Date victim actually died Date of attempted kill (might be different if the person was in the hospital for several days before death) Date last seen Date reported missing Date body was found Date reported by killer Source differences State death index Social security index Prison Inmate Locator information Court transcripts Media reports

12 Problems with Locations City, County, State

Location of abduction Location of killing Location where body was dumped Location where body was found Burial location Obituary location

13 Serial Killer Frequency

Hickey (2010) 352 males and 64 females in U.S. from 158 males and 30 females in U.S. from Gorby (2000) 300 international serial killers from Radford University Data Base (9/14/2013) 3,337 serial killers US: 2,320 International: 1,017 Number of serial killers varies with each update because many names listed as serial killers are not actually serial killers and new serial killers are added Updated 09/14/2013

14 Serial Killers by Country

2,320 United States 115 England 97 Italy 95 South Africa 79 Japan 71 Germany 61 Canada 55 Australia 47 France 44 India 39 Russia 30 China 22 Mexico 14 Brazil 12 Scotland 10 Poland

15 Percentage of World Population Percentage of Serial Killers Ratio

Country Percentage of World Population Percentage of Serial Killers Ratio United States 4.47 69.5 15.55 Australia 0.33 1.6 4.85 Italy 0.87 2.9 4.25 Canada 0.50 1.8 4.20 United Kingdom 0.94 3.9 4.15 South Africa 0.72 2.8 3.89 Germany 1.17 2.2 2.22 France 1.4 1.49 Japan 1.82 2.4 1.32 Poland 0.55 0.3 0.75 Russia 2.04 1.2 0.59 Mexico 1.60 0.7 0.44 Brazil 2.75 0.4 0.15 India 17.28 1.3 0.08 China 19.24 0.9 0.05

16 Problems with International Comparisons

Language issues in finding serial killers in other countries Easier to find the “two kill” people in the U.S. than in other countries Centralization of records Media policy about publicizing murders

17 U.S. Serial Killers by Decade (Decade of First Kill)

18 30 30 29 29 47 156 450 604 498 275 66 Updated 9/08/2013

18 Serial killing has declined in the U.S. since the 1980s

Decade U.S. Canada Other Countries Total 1900 18 11 29 1910 30 13 43 1920 2 23 55 1930 22 51 1940 3 61 1950 47 1 78 1960 156 5 56 217 1970 450 107 567 1980 604 12 150 759 1990 498 215 725 2000 275 9 155 439 2010 66 26 95

19 Trends in Murder Rates: United States

Year Murder Rate (per 100,000) 1960 5.1 1970 7.9 1980 10.2 1990 9.4 2000 5.5 2010 4.8 2011 4.7

20 International trend is more complex

Decade U.S. Canada S. Africa U.K. Japan Australia Russia Italy 1900 18 1 3 2 1910 30 1920 6 1930 29 5 1940 1950 47 4 1960 156 9 11 1970 450 13 19 17 10 16 1980 604 12 21 20 1990 498 31 15 33 2000 275 34 14 7 2010 66 Totals do not include serial killers operating in multiple countries

21 Why the decrease in the U.S.?

Technology Insurance fraud is more difficult Killing multiple patients is not likely to go unnoticed Longer prison sentences keep potential serial killers in prison Law enforcement efforts Catch single murder more quickly (e.g., DNA) Efforts on terrorism reduce the FBI’s ability to link serial murders Fewer available victims (Aamodt & Surrette, 2013)

22 Fewer Targets: We Have Changed our Behavior

Hitchhiking Related Hitchhiking Offering rides Accepting an offer to “get in” Disabled Motorists Offering assistance Accepting assistance Free-Range Kid Behavior Walking to and from school or the store Riding bicycles Playing in the park Fishing and hiking alone

23 Serial Killer Victims in the U.S. & Canada

Decade # Victims % ages 6-17 1900 113 8.9 1910 167 6.6 1920 139 11.5 1930 84 14.3 1940 13.1 1950 153 15.7 1960 347 21.6 1970 1,342 22.5 1980 2,181 14.1 1990 1,847 9.2 2000 1,114 8.0 2010 272 4.0 Note: Victims represent those from serial killers who were caught and for whom we know the circumstances of their abduction or death

24 Serial Killer Victims (age 6-17) by selected category

Victim Category 1950 1960 1970 1980 1990 2000 2010 TOTAL % Change Park 10 9 8 2 1 30 0.0% Shopping center/Parking lot/School 19 16 6 42 Prostitute 37 53 5.4% Hitchhiking related 4 57 5 102 6.7% Street - Walking/Riding a bicycle 7 18 65 73 209 11.0% Employee or customer 15 41 14.3% Rural (e.g., fishing, hiking) 13 36 16.7% Street - Public Transportation 14 20.0% Street 24 56 25.0% Home or home invasion 3 34 38 123 26.3% Met at a bar, skating rink, etc. 50.0% Friend or acquaintance 29 31 12 95 51.6% Girlfriend/Boyfriend Related 26 57.1% Street - Runaway 11 100.0% Family 64 107.7% Drug or gang related 21 420.0% 75 302 311 170 89 982 29.4%

25 Serial Killer Victims (all ages) by selected category

Victim Category 1950 1960 1970 1980 1990 2000 2010 TOTAL % Change Shopping Center/School 1 21 33 17 2 74 6.1% Disabled motorist or good Samaritan 19 16 40 6.3% Hitchhiking related 11 14 138 87 24 9 283 10.3% Law enforcement 18 13 65 11.1% Street - Walking/Riding a bicycle 8 25 97 119 81 20 12 362 16.8% Park 7 3 56 23.1% Employee or customer 54 135 173 166 47 607 27.2% Family 34 58 93 127 101 64 494 50.4% Friend or acquaintance 31 96 199 120 118 32 604 59.3% Prostitute/John 4 36 273 339 28 846 60.8% Prison guard/inmate 6 22 15 5 83 71.4% Girlfriend/Boyfriend Related 73 55 268 75.3% Street – Parking lot 72 114.3% Drug or gang related 26 89 190 513 213.5% Street – Drug addict 344.4% 153 347 1342 2181 1847 1114 272 7843 51.1%

26 Serial Killer Victims (all ages) Most Frequent 1950-2010

Victim Category 1950 1960 1970 1980 1990 2000 2010 TOTAL Home or home invasion 22 58 283 399 296 168 38 1,264 Prostitute or john 4 36 273 339 166 28 846 Employee or customer 21 54 135 173 47 11 607 Friend or acquaintance 8 31 96 199 120 118 32 604 Drug or gang related 2 26 89 190 33 513 Family 34 93 127 101 64 17 494 Street – Walking/Riding Bicycle 25 97 119 81 20 12 362 Hitchhiking related 14 138 87 24 9 Girlfriend/Boyfriend Related 73 55 268 Met at a bar or similar 57 75 88 3 264 Patient 39 61 43 248 Rural (e.g., fishing, hiking) 113 40 1 128 Street – Homeless 7 29 Prison guard or inmate 6 15 5 83 Street – Drug addict 72 Note: List does not include over a thousand killed on the street in general Victims are U.S. and Canada only

27 Serial Killer Age Age at the start of the series Potential problems

Should we use age at first kill rather than first kill in series? 2% killed prior to the start of the series Should we use age at first attempted murder? Many of the older serial killers spent time in prison prior to their series Simple descriptive statistics Mean = 27.9 (SD = 9.3) Median = 26 Youngest = 9 (Robert Dale Segee, final kill was at age 21) Oldest = 72 (Ray Copeland) Only 26.9% actually fall into their mid-to-late 20’s (24 – 29) Updated 09/14/2013

28 General Serial Killer Profile Age at First Kill

Source N Mean Our data (2013) 2,973 27.9 Kraemer et al. (2004) 157 31 Hickey (2013) 28.0 Updated 09/14/2013

29 General Serial Killer Profile Demographics – Average age is 27.9

Males 27.7 is average age at first kill 9 is the youngest (Robert Dale Segee) 72 is the oldest (Ray Copeland) Jesse Pomeroy (Boston in the 1870s) Killed 2 people and tortured 8 by the age of 14 Spent 58 years in solitary confinement until he died Females 30.6 is average age at first kill 11 is youngest (Mary Flora Bell) 66 is oldest (Faye Copeland) Updated 09/14/2013

30 A Problem with Profiling

Typical Serial Killer Profile in the Media A white, male, in his mid to late twenties Statistics (U.S. Serial Killers) Male (92.1%) White (52.7%) Mid to late twenties (26.9%) White, male (46.1%) White male in his mid to late twenties (12.7%) Updated 09/14/2013

31 Gender Changes Across Time U.S. & International Serial Killers

Decade Men Women 2010 94.7% 5.3% 2000 93.4% 6.6% 1990 92.7% 7.3% 1980 92.2% 7.8% 1970 94.2% 5.8% 1960 91.7% 8.3% 1950 84.6% 15.4% 1940 86.9% 13.1% 1930 84.3% 15.7% 1920 78.2% 21.8% 1910 69.8% 30.2% 1900 62.1% 37.9% TOTAL 90.6% 9.4% Updated 09/14/2013

32 Race Most media sources suggest that non-White serial killers are rare

Justin Cottrell (2012) Rise of the Black Serial Killer Found hundreds of Black serial killers that were not on other lists Extensive search was useful but might now overestimate the percentage of Black serial killers because a similar extensive search was not used for other races (including Whites)

33 General Serial Killer Profile Race

U.S. N=2,221 U.S. & International N=3,297 White 52.5% 55.9% Black 40.7% 31.2% Hispanic 5.3% 5.6% Asian 0.7% 6.6% Native American 0.9% 0.6% Updated 09/14/2013

34 Racial Changes Across Time U.S. Serial Killers

Decade White Black Hisp Asian N 2010 33.3% 59.1% 7.6% 0.0% 66 2000 32.4% 59.6% 6.9% 0.7% 275 1990 43.1% 48.0% 7.1% 1.8% 494 1980 55.6% 35.4% 6.8% 0.5% 601 1970 62.4% 32.9% 3.4% 0.4% 447 1960 70.3% 27.1% 0.6% 155 1950 78.7% 21.3% 47 1940 65.5% 27.6% 29 1930 58.6% 41.4% Updated 09/14/2013

35 Serial Killing is a White Thing 1980-2009

Serial Killers 1980, 1990, 2000 Census White 46.4% 74.40% Black 44.8% 11.95% Hispanic 6.9% 9.55% Asian 1.0% 2.81% Native Am. 0.8% Updated 09/14/2013

36 Race Prolific African American Serial Killers

44 Jake Bird 27 Coral Eugene Watts 23 Wayne Williams 19 Edward Suratt 17 Clementine Barnabet Milton Johnson 16 John Muhammad/Lee Boyd Malvo Vincent Darrell Groves 15 Richard Jameswhite Fred Glover O’Delle, Pearl, & Peyton Jackson John Reed 14 Jesse Lee Cooks Larry Green Vincent Groves Hulon Mitchell Manuel Moore J.C.X. Simon Chester Dwayne Turner Clarence Walker

37 Race Prolific Hispanic Serial Killers

27 Angel Colon Maldonado 25 Juan Corona 23 Adolfo Constanzo 16 Richard Ramirez Angel Maturino Resendiz 12 Robert Rubane Diaz Timothy Joseph McGhee 11 Juan Chavez 10 Eddie Seda 9 Jorge Beniquez 9 Rolando Garcia 9 Alfredo R. Prieto 9 Dorothea Puente 7 Fernando Cota 7 Tondy Herrera 7 Diana Lumbrera 7 David Villarreal 6 Juan Cordoba 6 Timothy Joseph McGhee 6 Paul Ruiz 6 Efren Saldivar 5 Ricardo Caputo 5 Ramon T. Hernandez 5 Leslie Torres

38 Race Prolific U.S. White Serial Killers

49 Gary Ridgeway 48 Amy Archer-Gilligan 41 Billy Gohl Belle Gunness 40 Charles Cullen 37 Donald Harvey 36 Ted Bundy 35 Dr. Michael Swango 34 Gerard Schaefer 33 John Wayne Gacy Bruce Alan Davis 32 Patrick Kearney 31 Jane Toppan 30 Stanley Bernson Morris Bolber 29 Charles Cullen 28 David Douglas Hill 27 Dean Corrl, David Brooks Elmer Henley Herman Mudgett

39 Serial Killer IQ Media/Internet Our Database (N = 217) Number of Kills

High IQ Our Database (N = 217) Mean = 94.1 Median = 87.0 Range (54 – 165) Number of Kills Two (90.2) Three (88.7) Four (95.1) Five (95.9) More than five (98.7) Rape Yes (94.0) No (94.5) Type Organized (98.5) Disorganized (92.7) Method of Killing Bomb (140.3) Strangle (98.1) Stab (94.0) Gun (92.4) Bludgeon (84.5) Updated 09/08/2013

40 Are IQ Scores Reliable? You can fake dumb, but you can’t fake smart

People scoring lower than 70 cannot be executed (Atkins v. Virginia, 2002) David Leonard Wood 1977 – Age 19 – 111 1980 – Age 23 – 64 1980 – Age 23 – 101 2011 – Age 54 – 75 (death sentence appeal) Psychologist thought Wood was faking low Wood correctly used “big words” in his letters

41 Intelligence The Smart

165 Ted Kaczynski (155) 160 Charlene Gallego 152 Carroll Cole 145 Rudy Bladel Ed Kemper (136) Ronald Williams Herbert Coddington (142) 140 Charles Albright Robert Browne Harvey Glatman (130) 138 James Clifford Carson 136 Ted Bundy (125) 134 Thomas Dillon William Christenson 130 Lawrence Bittaker Juan Corona Gary Heidnik (148) Walter Leroy Moody (125) Marcel Petiot (135) Angel Resendez Gerard Schaefer 129 Bill Heirens Paul Knowles Randy Kraft 128 Joel Rifkin

42 Intelligence The Not So Smart

54 Donnie Gene Craig 57 Simon Pirela 58 John Staffen 60 Eugene Britt 62 Willie James Hodges (66) 63 Arthur Goode 64 John Thomas Straffen (58) Arthur Culombe 65 Albert Dyer Derrick Todd Lee (91) Sean Paul Hanify Karl Lee Myers (75) Charles Ng 66 Elroy Chester (69) Charles Troy Coleman 67 Sean Paul Hanify Donald William Dufour (62)

43 Family Comparison Serial Killers U.S. Population* Birth parent/s

85.03% 87.4% Adopted 5.39% 2.2% Relative 5.24% 8.3% Foster home 2.54% 0.4% Orphanage 1.35% ? Abandoned 0.45% Other 1.7% N =668 2000 Census *O’Hare (2008; Table 2) Updated 09/14/2013

44 Birth Order Comparison

U.S. Serial Killers U.S. Presidents U.S. Population First Born 30.7% 33.3% 28.36 Middle Born 32.5% 50.0% 15.90 Youngest 26.2% 14.3% Only Child 10.6% 2.4% 27.39 N = 501 2000 Census Updated 09/14/2013

45 General Serial Killer Profile Childhood

Unstable home Absence of loving and nurturing relationship Physical ailments and disabilities Head injuries Triad bed wetting fire starting animal torture

46 Effects of the Family Child Abuse

Comparison of Serial Killers to the General Population (Mitchell & Aamodt, 2005) Type of Abuse General Population Serial Killers Physical 6% 36% Sexual 3% 26% Psychological 2% 50% Neglect 18% Other Not applicable No Abuse Reported 70% 32%

47 A Strange Way to Raise a Child Gary Heidnik

3 years old Didn’t clean room properly Father hung him by his feet out of a 3rd story window

48 A Strange Way to Raise a Child Henry Lee Lucas

3 years old Mother forced him to watch her have sex with strangers 7 years old Mother made him go to school dressed like a girl Mother beat him when his teacher gave him a pair of shoes 10 Years old Mother’s lover showed him how to kill animals and then have sex with them

49 A Strange Way to Raise a Child Danny Rolling

6 months Father kicked him into a wall 1 year old Father beat him when he crawled funny 6-8 years old Father beat him twice a week 13 years old Father handcuffs him to brother, beats them, leaves them outside

50 A Strange Way to Raise a Child Robert Garrow

1 year old Father made him kneel for hours in the corner 2 years old Mother splits his head open with a crowbar during a beating 5 years old Knocked unconscious when mother hits him in the head with a piece of wood 6 Years old Beaten unconscious by his father Made to wear his sister’s bloomers out to play

51 General Serial Killer Profile Forensic History

Triad Most have a criminal history 84.3% were previously arrested 75.6% had spent time in jail or prison Many received prior psychiatric treatment 11.6% spent time in a forensic unit prior to their series 2.0% killed prior to their serial killing This is a difficult statistic to accurately compute Updated 09/08/2012

52 Categorizing the Serial Killer

sex, race, age IQ psychopathology Crime Scene type of weapon use of torture attempt to hide body location Motive sex power financial gain Victim sex, race, age occupation personality

53 ____________________________________________________

Type of Victim ____________________________________________________ Spouse, Random Specific Specific Motive Family Strangers Type Strangers Employees Patients ________ ______ ________ _______ ________ _________ _______ Money Black Contract Cost Lethal Widow Killer Cutter Caretaker Sex Disorganized Organized Lust Lust Thrill Disorganized Organized Thrill Thrill Power Bluebeard Angels of Death Revenge Revenge Psychosis Visionary Hate Missionary Attention Munchausen Munchausen No motive Anti-social

54 Broad Motive Broad Motive (2,507 killers) %

Enjoyment (thrill, lust, power) 48.6 Financial gain 30.5 Anger 8.4 Multiple Motives 6.9 Gang Activity 2.9 Avoid arrest 1.1 Attention 0.6 Convenience 0.5 Hallucinations 0.4 Cult 0.2

55 Types of Serial Killers Visionaries

Psychotic - told to kill paranoia, schizophrenia 1% of killers are psychotic (Henn et al., 1976) Examples Herbert Mullin Miguel Rivera Joseph Kallinger

56 Herbert Mullin Crimes Vision Operated during 1972-1973

Killed 13 in Santa Cruz, CA Shot most of his victims Vision Voices told him to shave his head and burn his penis with a cigarette (he obeyed) Voices told him to kill in order to prevent a catastrophic earthquake

57 Joseph Kallinger Crimes Vision Operated during 1974-1975

Murdered 3 in NJ and PA (including one of his sons) Robbed and assaulted many others His 13 year old son was his accomplice Vision Told by God (through a large floating head with tentacles) to murder young boys and sever their genitals

58 Harvey Carignan Crimes Vision Known as the “Want-ad Killer”

Operated in Seattle Killed 3 (probably many more) by smashing their skull with a hammer Vision Told by God to kill women God didn’t tell him why

59 Types of Serial Killers Missionaries

Kill to “Clean-up” world Examples Joseph Franklin Killed interracial couples and African Americans Wounded Vernon Jordan and Larry Flynt (Hustler Magazine) Wolfgang Abel Killed drug addicts Axe Man of New Orleans Killed 11 (most were Italian grocers) Carroll Cole

60 Carroll Edward Cole Crimes Mission Operated during 1975-1980

Killed at least 13 women in several western states Mission Rid the world of loose women All his victims cheated on their significant-other with Cole

61 Types of Serial Killers Hedonists

Kill for fun or profit Subtypes Lust Killers (kill for sexual gratification) Organized Disorganized Mixed Thrill Killers (kill for the thrill of killing) Gain Killers Contract Killers Black Widows Lethal Caretakers Cost Cutters

62 Examples of Lust Killers

Organized Killers Ted Bundy John Gacy Chris Wilder Kenneth Bianchi Ed Kemper Disorganized Killers Arthur Shawcross Richard Chase Jeffrey Dahmer Danny Rolling

63 Hedonists-Gain Killers Black Widows

The Crime Kill husbands, lovers, or relatives for financial gain Almost always women Almost 90% use poison to kill their victims Examples Diana Lumbrera (killed her 6 children for insurance) Nanny Hazel Doss (killed 4 husbands, 2 sisters, 1 mother) Lydia Trueblood (killed 4 husbands, 1 child, brother in-law) Amy Gilligan (killed 5 husbands, several patients)

64 Hedonists - Gain Killers Cost Cutters

Crime Kill to save money Examples Joseph Briggen Killed 12 ranch hands when their pay was due Fed the people to his prize-wining pigs Georg Grossman Killed over 50 people, put the meat into his hotdogs Joe Ball

65 Joe Ball Operated during the late 1930s

Killed at least 5, probably 14, waitresses at his tavern (The Sociable Inn) in Texas Threw them into a pit with 5 alligators in the back of the tavern

66 Hedonists-Gain Killers Lethal Caretakers - Profit

The Crime Kill patients for profit Usually women Examples Dorthea Puente killed 7 elderly to cash social security checks Antoinette Scieri killed 12 elderly patients so that she could take their assets Anna Hahn poisoned 5 elderly men she cared for to get their insurance

67 Types of Serial Killers Power Seekers

Kill to exert power over strangers Examples Ted Bundy David Berkowitz Angelo Buono Edward Kemper

68 Power Seekers Angels of Death

The Crime Usually women Kill patients for feelings of power and control Examples Genene Jones - As a nurse, she killed between 11and 46 babies by injecting them with a muscle relaxant Terri Rachals killed 9 patients through injections of potassium chloride David Harvey is an example of a male angel of death Gwendolyn Graham and Catherine Wood

69 Gwendolyn Graham and Catherine Wood

Killed 5 patients in Alpine Manor (a nursing home) Initial plan was to spell MURDER with the first letter in the last name of each victim Graham did all the killing and Wood kept watch

70 Power Seekers Blue Beard Killers

Males who kill their spouses Examples Johann Hoch Henri Landru Harry Powers James Watson

71 Henry Landu Romanced more than 300 women out of their money during the early 1900s in France Ran personal ads to meet his women Married and killed 10 of them Put their bodies in an oven to dispose of them

72 Lethal Caretakers Munchausen Syndrome by Proxy

The Crime Kill or hurt others in order to be admired for curing them or to get sympathy for the death of a loved one Mostly females Examples Beverly Allitt injected insulin and potassium into 26 children (4 died, 9 had irreparable brain damage) over a 58-day period Martha Woods - 27 respiratory attacks in 9 children resulted in 7 being killed (3 were her own children)

73 Types of Serial Killers Revenge Killers

Kill for revenge Examples Martha Wise: Killed 3 family members opposing her marriage Ellen Etheridge: Killed 4 of her 8 step-children because she was jealous of their relationship with her husband Martha Johnson Had 4 fights with her husband After each fight, suffocated a child as revenge Suffocated by laying on top of them (she weighed 250 pounds)

74 Types of Serial Killers Antisocial Personalities

Definition Pattern of irresponsible or harmful behavior Lack of conscience Ignore social rules and laws Impulsive Fail to learn from punishment Examples Gang Members Criminals who kill for no reason

75 The Crime Scene Serial Killer Type .

Crime Characteristic Disorganized Organized Body disfigured hidden Sex after death before death unsuccessful successful Weapons finds at scene brings Viciousness torture quick Sophistication low high, learns each time

76 The Crime Scene Serial Killer Type .

Crime Characteristic Disorganized Organized Totem not taken taken Follows crime in news no yes Victim high risk low risk Gets to crime by walking, bus drives

77 Killer Profile Serial Killer Type .

Characteristic Disorganized Organized Residence close to crime further IQ less intelligent intelligent Employment menial or normal unemployed Appearance unattractive attractive Self-image feels inferior feels superior Social loner outgoing

78 Killer Profile Serial Killer Type .

Characteristic Disorganized Organized Romance lives alone affairs, short relationships Anger keeps inside acts out, bully, class clown Birth order low high Habits nighttime daytime Childhood discipline harsh lax or inconsistent

79 Killer Profile Serial Killer Type .

Characteristic Disorganized Organized Family alcoholism, mental illness Father’s work unstable stable