SEMESTER PROJECT TEAMS complete this IntelGame in three parts: Hypotheses, Supporting Evidence, and Data Analysis. One submission per team. DOWNLOADS Download the IntelGame Template Word file ( http://bit.ly/1b9EOtG) to capture results, before pasting as plain text into the Angel assignment. When completing Data Analysis in Part 3, view the Video Tutorial ( http://bit.ly/RXKVKI), as well as download the Excel IntelGame Data file ( http://bit.ly/1fhC2a9). Teams are given the names to analyze using Excel in the Angel assignment. CASE The data in this IntelGame is fictional, situated in Los Angeles in 2008, and influenced by events from the Sniper Shootings that took place in Washington, D.C. during three weeks of October 2002. INTELLIGENCE ANALYSIS Intelligence analysis is the process of taking known information about situations and entities and characterizing a common truth with appropriate statements of probability. The descriptions are drawn from information that may be both incomplete and deliberately deceptive. The art of intelligence analysis is practiced in the intelligence community and business settings (e.g., business intelligence, competitive intelligence). Source: http://bit.ly/VQ1r3G LEARNING OBJECTIVES Upon completing this exercise, students should be able to: 1. Analyze a scenario and generate a common truth in the form of a hypothesis, and provide three examples of evidence that, if found, could discredit the hypothesis 2. Describe two cognitive biases compromising analytical results 3. Demonstrate data analytics by filtering Excel data © 2012, Edward J. Glantz SRA111 INTELLIGENCE ANALYSIS GAME COGNITIVE BIAS Humans (including analysts) suffer from cognitive bias, or limitations in thinking that lead to errors in judgment. Cognitive biases are similar to optical illusions in that the error remains compelling even when one is fully aware of its nature. Cognitive biases, therefore, are, exceedingly difficult to overcome. Our Structured Analytic Techniques, such as Devil’s Advocacy, can be used to improve thinking in groups by challenging framing and confirmation bias, for example. The following is a list of the more commonly studied cognitive biases (Source: http://bit.ly/PNa50h): Framing Bias: Using too narrow an approach/description of a situation or issue. Hindsight Bias: The "I-knew-it-all-along" effect sees past events as being predictable. Confirmation Bias: Tendency to search for or interpret information in a way that confirms one's preconceptions; this is related to the concept of cognitive dissonance. Self-Serving Bias: Tendency to claim more responsibility for successes than failures. It may also manifest itself as a tendency for people to evaluate ambiguous information in a way beneficial to their interests. Belief Bias: Evaluation of the logical strength of an argument is biased by their belief in the truth or falsity of the conclusion. ACH PROCESS CIA analyst Richards Heuer's "Analysis of Competing Hypotheses" (ACH) process challenges and thus improves thinking, since simple awareness of bias cannot produce more accurate results. At the core of ACH is the notion of competition among plausible hypotheses, to see which survives a gauntlet of testing with available evidence. The surviving hypothesis is the “least disproved”; it may not always be the right answer, but it is usually better. The ACH process helps analysts overcome cognitive limitations, such as the confirmation bias. (Source: Jack Davis ) Stated more simply, it is better to try to prove your belief is wrong. In doing so, we can identify evidence that might be available and could be found, if only we had thought to look for it. When we try to prove our idea is correct, we often overlook critical information, and fall victim to the confirmation bias. 2 SRA111 INTELLIGENCE ANALYSIS GAME: PART I “THAT’S STRANGE” (FIRST SIX SHOOTINGS) The Centers for Disease Control and Prevention ( http://1.usa.gov/UtzUoE) reports 749 firearm homicides in the City of Los Angeles during 2006-2007. The most common cause of a firearm homicide is gang related, domestic violence, or robbery. Thus, on September 5, 2008, a round fired at 5:02PM into a GoGreen Grocery store, narrowly missing a teller, seemed initially to be a stray round from one of these events that might have occurred nearby. An hour later, at another location, an African-American father of an 18 year-old son was shot and killed, while leaving a hardware store near a police station. Robbery did not occur, and no other motif was apparent, although police thought interviewing the son’s contacts might provide a gang connection. At this point, no consideration was given that these two events might be related. Almost one month later, on the morning of October 3, a white male (age 39) died while mowing his lawn. Initially an engine catastrophe was suspected, although it was later discovered a high power rifle had shot him. Within the space of two more hours, three victims at different locations were killed by a high power rifle: an Indian-born male in his fifties died pumping gas fifty yards from an officer in a patrol car, a Hispanic mother (age 34) of a seven year-old died waiting at a bus stop, and a twenty-five year-old white woman died while purchasing gas. Forensics had confirmed that all of these events involved a high power rifle. Bullet fragments, however, could not confirm that the same rifle had been used. Police now believe these events could be connected, as high power rifles are unusual in gang, domestic, or robbery homicides. It was also noted that the shootings took place near major freeway interchanges. Still confusing was the diversity in victim ethnicity, lack of an apparent motif, and limited/conflicting witness statements. 3 SRA111 INTELLIGENCE ANALYSIS GAME: PART I Figure 1 Freeway Interchange Location of Shooting Incidents A--F Read Table 1 “Incident Data” associated with this part to review location, date/time, facts, assumptions, and eyewitness reports. After reviewing the data, draft answers to the questions provided. Table 1 Preliminary Incident Data MapID Freeway1st Freway2nd IncidentPoliceID DateStamp TimeStamp FactsKNOWN Assumptions A 210 405 124962 09/05/2008 5:02PM No evidence, no motive, no suspect; “random event” B 10 405 135723 09/05/2008 6:02PM C 10 5 138507 10/03/2008 7:41AM Single bullet fired into a GoGreen grocery store, narrowly missing check out clerk Steve Johnson, 55 year-old African American father of an 18 year-old son shot and killed leaving a hardware store in a shopping plaza, across the street from a police station. Bullet probably highpowered, possibly .223 military caliber. Jimmy Buchman, 39 year-old white male, died while mowing lawn. Initially thought to be a mower malfunction, later determined he had been apparently shot. No evidence, no witness, no suspect, no motive, no robbery No evidence, no witness, no suspect, no motive, no robbery; not linked with previous incidents. 4 SRA111 INTELLIGENCE ANALYSIS GAME: PART I MapID Freeway1st Freway2nd IncidentPoliceID DateStamp TimeStamp FactsKNOWN Assumptions D 210 5 139658 10/03/2008 8:12AM No robbery, no evidence, no witnesses; investigators now dismissing domestic crime and robbery (most common homicide motives) E 10 110 140370 10/03/2008 8:57AM F 60 605 147311 10/03/2008 9:58AM Sanjay Akbar, a 54 year-old Indian-born man was fatally shot while putting gas in his Taxi. An officer was sitting fifty yards away in a patrol car in heavy traffic. Maria Lopez, a 34 year-old Hispanic mother of a 7 year-old son was shot sitting at a bus stop in front of a post office. Mary Parker, a 25 year-old white woman, was shot while purchasing gas. This was the sixth possibly related highpowered rifle shooting case, fifth shooting death, and fourth shooting death in roughly two hours. White van with black lettering lead released at press conference. Police expanded motivations to include racial crime, hate crime, or terrorism. In addition, a link between the victims was being sought. A hotline was created to report suspicious activities, especially information about white vans. Forensics began evaluating bullet fragments, and victim autopsies were conducted. QUESTION SET: THREE PLAUSIBLE HYPOTHESES (25 POINTS) Given information provided in the case Table 1, generate three plausible hypotheses that could explain the shootings. For each hypothesis, use at least one (1) fact/witness statement from the case, and cite where found in the case (e.g., Table, 1/Incident B). Fact/witness statement may be reused as needed. Feel free to add “conjecture” to complete plausible hypotheses. Hypotheses may help anticipate the next shooting attempt, or even identify the perpetrator. Each hypothesis should: 1. Describe the shooter, or aspects of the shooter, 2. Describe the motivation, and/or 3. Describe the means (e.g., weapon, mode of transportation). 5 SRA111 INTELLIGENCE ANALYSIS GAME: PART I EXAMPLE: Single white male, prior military experience, using a military rifle (Table, 1/Incident B) to target victims based on racial discrimination. HYPOTHESIS 1 HYPOTHESIS 2 HYPOTHESIS 3 QUESTION SET: EVIDENCE NEEDED TO DISPROVE HYPOTHESIS (10 POINTS) Copy ONE hypothesis presented above, and suggest THREE pieces of evidence that could discredit or “falsify” this hypothesis. This evidence may either be fact/witness statement from Part I of this case, or new (i.e., not yet presented). In parentheses, specify which part of the selected hypothesis is refuted. The practice to falsify/disprove a belief attempts to overcome framing and confirmation cognitive bias. Identifying new evidence not yet found helps guide investigators. EXAMPLE The hypothesis “Single white male, prior military experience, using a military rifle to target victims based on racial discrimination,” could be discredited based on evidence such as: 1) Single white males were also targeted (refutes racial discrimination), 2) A non-white male was seen leaving the scene (refutes white male), or 3) A female was seen with the male shooter (refutes single shooter). HYPOTHESIS SELECTED EVIDENCE 1 EVIDENCE 2 EVIDENCE 3 6 SRA111 INTELLIGENCE ANALYSIS GAME: PART II PANIC IN THE CITY (ALL NINE SHOOTINGS) Three more high-power rifle shootings occurred at different locations the following week, all near major freeway interchanges. An elderly Haitian immigrant was killed crossing the street on October 9, a white woman in her forties was killed in a grocery store parking lot two days later, and on October 14, a 13 year-old boy survived being shot as he entered his middle school. Public unrest and media scrutiny was heightened. Because of the proximity to freeway interchanges, Operation SpiderWeb was developed to immediately lock down freeway traffic following a shooting incident, leading to snarling traffic jams and further complications. A joint operation command was also formed to combine local and federal police, with representatives from the Bureau of Alcohol, Tobacco, Firearms, and Explosives (ATF), Federal Bureau of Investigation (FBI), the Secret Service, and the US Marshals. Combined, they were called the SNIP Task Force (SNIPTF). Additionally: A. Police cross-referenced California owners of white vans with rifles capable of firing .223 rounds B. SNIPTF released a possible profile to media: Single shooter, angry, self-centered, fascinated with weapons and violence, recently suffered a domestic or job related setback, a white male adult, not displaying signs of mental illness, frequented gun shows, liked military books and movies, not in a relationship, not confrontational, hypersensitive and suspicious, and playing close attention to media coverage. C. Leads matching the above description ultimately resulted in dead ends. D. Police released a composite graphic of the suspected white van to the press; white vans in the area were routinely stopped and investigated, often causing traffic delays. E. The sniper called the tip line to make extortion demands, and he identified himself using the phrase found at the scene on the playing card; since the phrase had not been officially released to the press, the call was deemed to be valid. F. A disagreement brewed at SNIPTF between trained negotiators and profilers. The negotiators wanted police to take a hard line with the shooter and use strong language to “call out” the sniper. Profilers believed a more reserved approach would be better, possibly drawing out information to help identify the sniper. 7 SRA111 INTELLIGENCE ANALYSIS GAME: PART II INCIDENT LOCATION GEOSPATIAL DATA Figure 2 Freeway Interchange Location of Shooting Incidents A—I; Incident F Data “Pop-Up” Illustrated 8 SRA111 INTELLIGENCE ANALYSIS GAME: PART II Table 2 Geospatial Incident Data MapID Freeway1st Freway2nd A B C D E F 210 10 10 210 10 60 405 405 5 5 110 605 G H I 5 210 405 710 2 101 IncidentPoliceID 124962 135723 138507 139658 140370 147311 ADDITIONAL SCENARIO DATA 149060 149166 149222 DateStamp TimeStamp 09/05/2008 09/05/2008 10/03/2008 10/03/2008 10/03/2008 10/03/2008 5:02PM 6:02PM 7:41AM 8:12AM 8:57AM 9:58AM 10/09/2008 10/11/2008 10/14/2008 8:10PM 2:30PM 9:15AM Read the complete “Incident Data” in Table 3 associated with this part to review location, date/time, facts, assumptions, and eyewitness reports. After reviewing the data, draft answers to the questions provided. Table 3 Complete Incident Data MapID Freeway1st Freway2nd IncidentPoliceID DateStamp TimeStamp FactsKNOWN Assumptions Eyewitness A 210 405 124962 09/05/2008 5:02PM Single bullet fired into a GoGreen grocery store, narrowly missing check out clerk No evidence, no motive, no suspect; “random event” B 10 405 135723 09/05/2008 6:02PM Steve Johnson, 55 year-old African American father of an 18 year-old son shot and killed leaving a hardware store in a shopping plaza, across the street from a police station. Bullet probably highpowered, possibly .223 military caliber. No evidence, no witness, no suspect, no motive, no robbery Man and a woman in a Thunderbirdlike blue car seen driving away; dismissed as “location improbable” at time of shooting Loud “boom” heard, no shooter seen. White sedan, possibly Toyota seen (dismissed as “location improbable” at time of shooting) 9 SRA111 INTELLIGENCE ANALYSIS GAME: PART II MapID Freeway1st Freway2nd IncidentPoliceID DateStamp TimeStamp FactsKNOWN Assumptions C 10 5 138507 10/03/2008 7:41AM No evidence, no witness, no suspect, no motive, no robbery; not linked with previous incidents. D 210 5 139658 10/03/2008 8:12AM E 10 110 140370 10/03/2008 8:57AM Jimmy Buchman, 39 year-old white male, died while mowing lawn. Initially thought to be a mower malfunction, later determined he had been apparently shot. Sanjay Akbar, a 54 year-old Indian-born man was fatally shot while putting gas in his Taxi. An officer was sitting fifty yards away in a patrol car in heavy traffic. Maria Lopez, a 34 year-old Hispanic mother of a 7 year-old son was shot sitting at a bus stop in front of a post office. F 60 605 147311 10/03/2008 9:58AM Mary Parker, a 25 year-old white woman, was shot while purchasing gas. This was the sixth possibly related highpowered rifle shooting case, fifth shooting death, and fourth shooting death in roughly two hours. Police expanded motivations to include racial crime, hate crime, or terrorism. In addition, a link between the victims was being sought. A hotline was created to report suspicious activities, especially information Eyewitness No robbery, no evidence, no witnesses; investigators now dismissing domestic crime and robbery (most common homicide motives) White van with black lettering lead released at press conference. Witnesses heard a “popping” sound. A Spanish speaking witness reported seeing a white van with black lettering leave the area. 10 SRA111 INTELLIGENCE ANALYSIS GAME: PART II MapID Freeway1st Freway2nd IncidentPoliceID DateStamp TimeStamp FactsKNOWN Assumptions Eyewitness about white vans. Forensics began evaluating bullet fragments, and victim autopsies were conducted. ADDITIONAL SCENARIO DATA 10/09/2008 8:10PM Emmanuel Carole, a 72 year-old black male carpenter (originally from Haiti) was shot and killed crossing the street. G 5 710 149060 H 210 2 149166 10/11/2008 2:30PM I 405 101 149222 10/14/2008 9:15AM Jennifer Masters, a 43 year-old white woman, survived being shot in the parking lot of a different GoGreen grocery store. Evan Michaels, a 13 year-old male, survived being shot as he walked into his middle school. Police confirm that a .223 highpower rifle has been used in all shootings from a distance of 100-150 yards. Police alerted shooter may be driving north. Ballistics linked four of the shootings. Police announce that they are seeking a serial killer. A joint operation command is formed combining local and federal1 police. No motive, no suspects, and no link between victims. Witness reported a burgundy Caprice ran a red light at the time of the shooting; was discounted as a suspect vehicle when later discovered abandoned and burned. Dark-colored car with Arizona plates and tinted windows seen driven away by a black teenager. Police, assisted by academy recruits, search and discover a bullet casing and a playing card with the words, “For the police, from your friend and God.” This information was not released to the media. 1 Federal representatives included the Bureau of Alcohol, Tobacco, Firearms, and Explosives (ATF), Federal Bureau of Investigation (FBI), the Secret Service, and the US Marshals; combined they were called the SNIP Task Force (SNIPTF). 11 SRA111 INTELLIGENCE ANALYSIS GAME: PART II QUESTION SET: SUPPORTING EVIDENCE (25 POINTS) Despite significant internal disagreement, the SNIPTF team shared this shooter profile with the media: Single shooter, angry, self-centered, fascinated with weapons and violence, recently suffered a domestic or job related setback, a white male adult, not displaying signs of mental illness, frequented gun shows, liked military books and movies, not in a relationship, not confrontational, hypersensitive and suspicious, and playing close attention to media coverage. Select THREE pieces of the above profile and indicate whether supported by fact/witness statement from the Case Table 3 (e.g., Table, 3/Incident B), OR indicate as SNIPTF conjecture. EXAMPLE Table, 3/Incident B, “The bullet was thought to be from a high-powered military rifle” (supports shooter may have interest in military objects and weapon fascination). SNIPTF 1 SNIPTF 2 SNIPTF 3 QUESTION SET: SUPPOSITION ANALYSIS (10 POINTS) After some deliberation, and evidence analysis, SNIPTF is confident that witnesses in Incident E actually observed the shooter leaving the scene. Number TWO (2) pieces of specific fact/witness statement and cite (e.g., Table 3/Incident B) from Case Table 3 that might support SNIPTF’s belief that shooter is driving a white van. NO EXAMPLE FOR THIS PART (GUIDING QUESTIONS INSTEAD) Was it reasonable to assume a vehicle was being used? What benefits would a van, versus a car or truck, provide? Why a white van specifically? White Van 1 White Van 2 12 SRA111 INTELLIGENCE ANALYSIS GAME: PART III The use of data analysis is a growing trend in investigations. Data sources are readily provided by video cameras and digital transactions. Optionally, students may evaluate his/her “digital footprint“ using EMC’s downloadable calculator ( http://bit.ly/HuotZ3). LICENSE PLATE RECOGNITION (LPR) is one of the new forms of data capture that is becoming quite popular ( http://bit.ly/1b4UxMh) with law enforcement. Units about the size of a paperback book can be mounted atop police cruisers to capture data on every car it passes; it is conceivable that these devices could also be installed at major freeway interchanges. In this part, students will analyze LPR data provided in an Excel file. Assume that this data was captured at freeway interchanges during the time of each shooting incidents (plus or minus one hour). In the Angel assignment, students will also be given the names of three Persons of Interest (POI) that witnesses believed they observed at a shooting incident by describing vehicles and/or parts of license plate numbers. Students will evaluate LPR by filtering data In the Excel file to determine whether further police investigation of the POI may be beneficial. POIs will be determined to be either a: SUSPECT: LPR data puts POI at one (or more) shooting incidents, but never at a different location during an incident NOT A SUSPECT: LPR data puts POI at another location, during any shooting incident INCONCLUSIVE: LPR data does not put POI at a shooting incident, but also does not put POI at an alternate location (i.e., no data, so more investigation may be needed) VIDEO DEMONSTRATION View the brief video tutorial demonstrating how to filter Excel’s data by POI’s last name. QUESTION SET: POSSIBLE SUSPECT DATA ANALYSIS (30 POINTS) Open the Angel submission exercise for your team, and the Excel file provided in Angel. Teams will be given three POIs to investigate. Filter POI’s last name in Excel. As shown in the Video Demonstration, verify Excel’s vertical scrollbar (right-side of window) is pushed completely up before interpreting sort results, and clear filters before continuing. 13