Evaluating Phases of Forensic Practice. Comparative Bullet Lead Analysis

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Transcription:

Evaluating Phases of Forensic Practice Comparative Bullet Lead Analysis

There is nothing so useless as doing efficiently that which should not be done at all. Peter F. Drucker

Definition: comparative bullet lead analysis (CBLA) The process of comparing compositions of questioned & known bullets or bullet fragments in an effort to associate them as originating from a common molten source of lead ( batch or lot )

[T]he bullets must have come from the same box or from another box that would have been made by the same company on the same day United States v. Davis, 103 F.3d 660 (8th Cir. 1996) [B]ullets from the victim and [suspect s custody] came from the same source, were manufactured in the same batch, and probably came in the same box. Bryan v. Oklahoma, 935 P.2d, 338, 360 (Okla. Crim. App. 1997)

Secondary refiner molten source ~100 tons Billet Production ingots Bullet Mfr. A + premium Bullet Mfr. B re-melt billet billet to extrusion presses

Billet Extrusion Into Wire

Phase 1: Compositional Analysis (data acquisition by NAA or ICP) Phase 2: Composition grouping Phase 3: Inference (conclusions)

Compositional Analyses

antimony (Sb) arsenic (As) copper (Cu) tin (Sn) bismuth (Bi) silver (Ag) cadmium (Cd)

Basic Underlying Theory: same composition = same source

(1) What assumptions are required for inference to be valid? (2) What required phase is missing from perceived /actual process?

Q. What assumptions are required for inference to be valid?* A. (a) sample is representative (b) source is homogeneous (c) source is unique * generic inference: same composition = same source

Number of 50 mg. forensic samples in 100 tons: 1.81 billion

Analyte Concentration B M E Sample Timing

0.78 Antimony Content of Source vs. Sample Timing G Source, 28 lots at ~ 100 tons (200,000 lbs.) each Antimony (Sb) Content (wt.%) 0.76 0.74 0.72 0.70 0.68 0.66 0.64 0.62 BEGIN MID END Sample Timing 423 424 424A 426 427 429 444 445 446 447 448 450 451 452 453 454* 455 456 456A 457 459 460** 461 463 464 465*** 466 467

Repeat compositions not uncommon (disproving premise of source uniqueness) Dramatic composition differences within lots (disproving premise of source homogeneity) (disproving premise of representative sample) No meaningful studies of homogeneity No meaningful studies of repeats No meaningful studies of distribution

Composition Grouping

Antimony (Sb) Specimen Content (wt.%) A1 A2 A3 A 0.7512 B1 B2 B3 C1 C2 C3 D1 D2 D3 B C D 0.7601 0.7699 0.7800

Composition A D

Composition A D

- Unofficial 1 sigma match criterion until June 1998 - Official 2 sigma match criterion after June 1998 - Chaining of data (vs. clustering)

How distinguishable specimens can become indistinguishable by data chaining change match criterion

Composition A B C D By chaining, D can become analytically indistinguishable from A if

Composition A B C D enough samples are submitted

Composition A D

Composition A D By changing match criterion from 1 sigma to 2 sigma, D becomes analytically indistinguishable from A

Composition

Composition The more sloppy the analysis, the more incriminating the same evidence becomes.

Phase 1: Compositional Analysis Phase 2: Composition grouping Phase 3: Assess probative value Phase 3: Inference (conclusions)

(for source attribution)

A originated from B ( individualization or specific source attribution ) Examples: (a) The A bullets were fired from the B gun (b) The A item came from the B source

1. Is it true? 2. Is it probative?

Caution 1: Most vulnerable to fallacious reasoning from various fallacies of presumption, such as false dichotomy, principio petitii, suppressed evidence, inter alia. Caution 2: There exists no combination of samples that will allow 100% confidence (as exists for deductive reasoning).

(for source attribution)

(for source attribution)

I examined for, and compared, all 103 elements in the periodic table. I conclude the items are identical and from the same source.

(for source attribution)

Realities of Analyte Presence cadmium (Cd) is almost never present when it is present, is usually ~ 1 or 2 ppm tin (Sn) is most frequently not present bismuth (Bi) is almost always in very narrow range (~85-110 ppm) silver (Ag) is almost always in very narrow range (15-30 ppm) These realities reduce effective analyte discriminants to 3, determined by Lukens, et al., to be inadequate.

Analytes (Elements) Presently Measured to Characterize Source antimony (Sb) arsenic (As) copper (Cu) tin (Sn) (not generally present) bismuth (Bi) (very narrow range) silver (Ag) (very narrow range) cadmium (Cd) (almost never present)

I examined for, and compared, all 7 relevant chemical elements. I conclude items are analytically indistinguishable and from the same source.

Even if it is a match : So what?

Seminal Issue What is the likelihood of a coincidental match?

Remington (Thunderbolt.22 LR) K02P1D K02P1D K02P1D K02P1D K02P1D K02P1D K02P1D K02P1D K02P1D K02P1D Fred Meyer, Juneau, Alaska, 04/16/03 K02P1D K02P1D K02P1D K02P1D K02P1D K02P2A K02P2A K02P2A K02P2A Remington (.22 LR) MF2089 MF2089 MF2089 MF2089 MF2089 MF2089 MF2089 MF2089 MF2089 MF2089 79% 100% Federal (.22 Win Mag, JHP) B07H17 B07H17 B07H17 B07H17 B07H17 B07H17 B07H17 B07H17 100% CCI (.22 LR) M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 M08G08 100%

Phase 1: Compositional Analysis Phase 2: Composition grouping Phase 3: Assess probative value Phase 3: Inference (conclusions)

CBLA Analogy: blood testing Analyses: (blood) Fe, K, Na, HDL, LDL Comparisons: analytically indistinguishable Conclusion: same source (parents)

Bullets not necessarily representative samples of their source. Forensic examiner has no way of making that determination. Compositional bullet matches are invalid for both inclusion and exclusion inference as to source. The only possible probative value of a match supported by present information and data is that questioned bullet(s) could have originated from same source as known bullet(s). Composition match is less probative than caliber. No validation studies ever conducted of same composition = same source hypothesis

Observer effects Expectation bias Confirmation bias Contextual bias

Evett / Williams Report British 16-point standard Rooted in historical anecdote No scientific basis (arbitrary) Examiners evaluate to standard

Number of Responses 16 14 12 10 8 6 4 2 0 No. of Responses vs. Points Identified (Evett/Williams Report) 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 Number of Points

Number of Responses 16 14 12 10 8 6 4 2 0 Evett/Williams Report 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 Number of Points test asked examiners how many pts. of similarity w/same fingerprint 16 pt. British standard for many agencies when respondents found 15, they looked extra hard for 16 th i.e., examiners evaluated to the standard

Myth of Infallibility Fingerprints are absolute and infallible. It s error rate is zero. 1 IAI certification exam failure rates were documented at 48% (1993) allowing 3 false negatives but no false positives on 15 source attributions (12 required) 1 David Meagher, FBI fingerprint head to Leslie Stahl, 60 Minutes, Jan. 5, 2003.

Error Rates for Pattern Matching How can a process commit so many errors and still be considered infallible? rhetorical strategy to isolate, minimize and otherwise dismiss all exposed cases of error as special cases, one-offs, etc. by attributing error exclusively to practitioner error and never to methodology More Than Zero: Accounting for Error in Latent Fingerprint Identification, Simon A. Cole, Journal of Law & Criminology, Vol.95 No.3 (2005)

Contextual Biasing Information Affects Judgment & Decision-Making * Five LFP experts as participants Total of 85 years experience (mean = 17) International LFP expert pool (US, UK, Israel, Netherlands, Australia) Experts not familiar with Mayfield s fingerprints Experts with past archival source attributions Each pair of fingerprints had been identified by same expert as match in 2000 (test in 2005) Contextual Information Renders Experts Vulnerable to Making Erroneous Identifications, Dror, Itiel E., et al., For Sci International 156 (2006) 74-78

Contextual Biasing Information Affects Judgment & Decision-Making Changed to "no match" (3) Changed to "can't decide" (1) Consistent decision (1) 80% changed source attribution decisions

Science, Law, and Forensics Navigating the Minefield of Pragmatism in Forensic Practice William A. Tobin (804) 448-3955 wtobin@feintl.com wtobin@nexet.net