qualita’ve*summary*/*nas*ch.*5** s,

1
Forensic Technology Statistical reliability for "class inclusion" of a suspect Statistical reliability for "individual identification" of a suspect Statistical reliability for "class and individual exclusion" of a suspect Verified scientific validity with documented statistics Clear non-ambiguous terminology related to statistical validity of results Does not rely on competence, training, experience, or judgement of individual examiners Nuclear DNA Mitochondrial DNA Friction Ridge Analysis (fingerprints) Shoe Prints & Tire Tracks Toolmark and Firearms ID ("ballistics") Gunshot Residue (* see special note below) * * * * * * Hair Evidence Fiber Evidence Questioned Document Examination Paint & Coatings Evidence Explosives Evidence Fire Debris (arson) Forensic Odontology - Bite Marks Analysis of Controlled Substances Bloodstain Pattern Analysis Digitial & Multimedia Analysis Statistically valid Anecdotally accepted - lacks true statistical validation Exercise caution and skepticism Questionable Not good Not appropriate for this category * This summary is my interpretation of NAS Chapter 5. The scores in the table are my judgement based upon my study of the technologies involved and my own scientific, technical, and statistical knowledge and experience. Phil Locke, Science & Technology Advisor, Ohio Innocence Project Qualita’ve Summary NAS Ch. 5 * Strengthing Forensic Science in the United States: A Path Forward , 2009 The Na’onal Academies Phil Locke, May 27, 2010 Rev. 4 * Gunshot Residue (GSR) Current analytical methods employing SEM/ EDS (scanning electron microscope and energy dispersive spectrography) can reliably identify gunshot residue. The samples acquired from suspects should then be compared with samples from known case- specific durable items (weapon, shell casing, victim's clothing, etc.) to confirm the source. Lacking that, the question that cannot be reliably answered is - where did the GSR come from? Issues with sample collection protocols and the likelihood of contamination from law enforcement environments and environmental sources overwhelm all other factors.

Upload: others

Post on 24-Feb-2022

1 views

Category:

Documents


0 download

TRANSCRIPT

Forensic Technology Stat

isti

cal r

elia

bilit

y fo

r "c

lass

incl

usio

n"

of a

sus

pect

Stat

isti

cal r

elia

bilit

y fo

r "i

ndiv

idua

l

iden

tifica

tion

" of

a s

uspe

ct

Stat

isti

cal r

elia

bilit

y fo

r "c

lass

and

indi

vidu

al e

xclu

sion

" of

a s

uspe

ct

Ver

ifie

d sc

ient

ific

val

idit

y w

ith

doc

umen

ted

stat

isti

cs

Clea

r no

n-am

bigu

ous

term

inol

ogy

rel

ated

to

stat

isti

cal v

alid

ity

of r

esul

ts

Doe

s no

t re

ly o

n co

mpe

tenc

e, t

rain

ing,

exp

erie

nce,

or

judg

emen

t of

indi

vidu

al e

xam

iner

s

Nuclear DNA

Mitochondrial DNA

Friction Ridge Analysis (fingerprints)

Shoe Prints & Tire Tracks

Toolmark and Firearms ID ("ballistics")

Gunshot Residue (* see special note below) * * * * * *

Hair Evidence

Fiber Evidence

Questioned Document Examination

Paint & Coatings Evidence

Explosives Evidence

Fire Debris (arson)

Forensic Odontology - Bite Marks

Analysis of Controlled Substances

Bloodstain Pattern Analysis

Digitial & Multimedia Analysis

Statistically valid

Anecdotally accepted - lacks true statistical validation

Exercise caution and skepticism

Questionable

Not good

Not appropriate for this category

* This summary is my interpretation of NAS Chapter 5. Thescores in the table are my judgement based upon my study ofthe technologies involved and my own scientific, technical, andstatistical knowledge and experience.

Phil Locke, Science & Technology Advisor, Ohio Innocence Project

Qualita've  Summary  -­‐  NAS  Ch.  5  *  Strengthing  Forensic  Science  in  the  United  States:  A  Path  Forward  ,  2009  The  Na'onal  Academies  

Phil  Locke,  May  27,  2010        Rev.  4  

* Gunshot Residue (GSR)

Current analytical methods employing SEM/EDS (scanning electron microscope and energy dispersive spectrography) can reliably identify gunshot residue. The samples acquired from suspects should then be compared with samples from known case-specific durable items (weapon, shell casing, victim's clothing, etc.) to confirm the source. Lacking that, the question that cannot be reliably answered is - where did the GSR come from? Issues with sample collection protocols and the likelihood of contamination from law enforcement environments and environmental sources overwhelm all other factors.