Interconnected Failures: An Ecological Systems Analysis of Wrongful Convictions in the U.S. Criminal Justice System

Abstract

This study applies an ecological systems theory framework to examine the complex, interconnected factors contributing to wrongful convictions in the U.S. criminal justice system. Moving beyond isolated explanations, the analysis considers multiple systemic levels—including individual, institutional, community, and societal influences—that interact to produce judicial errors. Key elements such as police misconduct, prosecutorial overreach, inadequate defense, systemic bias, and sociopolitical pressures are explored as part of a broader ecosystem of failure. By situating wrongful convictions within this multidimensional context, the study highlights the need for holistic reform strategies that address the structural and cultural dynamics underpinning miscarriages of justice.

International Journal Of Law And Criminology
Source type: Journals
Years of coverage from 2022
inLibrary
Google Scholar
HAC
doi
 
CC BY f
1-11

Downloads

Download data is not yet available.
To share
Dr. Marcus D. Hollowell, & Dr. Alicia N. Rosario. (2025). Interconnected Failures: An Ecological Systems Analysis of Wrongful Convictions in the U.S. Criminal Justice System. International Journal Of Law And Criminology, 5(08), 1–11. Retrieved from https://www.inlibrary.uz/index.php/ijlc/article/view/134581
Crossref
Сrossref
Scopus
Scopus

Abstract

This study applies an ecological systems theory framework to examine the complex, interconnected factors contributing to wrongful convictions in the U.S. criminal justice system. Moving beyond isolated explanations, the analysis considers multiple systemic levels—including individual, institutional, community, and societal influences—that interact to produce judicial errors. Key elements such as police misconduct, prosecutorial overreach, inadequate defense, systemic bias, and sociopolitical pressures are explored as part of a broader ecosystem of failure. By situating wrongful convictions within this multidimensional context, the study highlights the need for holistic reform strategies that address the structural and cultural dynamics underpinning miscarriages of justice.


background image

International Journal of Law And Criminology

1

https://theusajournals.com/index.php/ijlc

VOLUME

Vol.05 Issue08 2025

PAGE NO.

1-11




Interconnected Failures: An Ecological Systems Analysis
of Wrongful Convictions in the U.S. Criminal Justice
System

Dr. Marcus D. Hollowell

Department of Criminology, University of California, Irvine, USA

Dr. Alicia N. Rosario

School of Social Work, Columbia University, USA

Received:

03 June 2025;

Accepted:

02 July 2025;

Published:

01 August 2025

Abstract:

This study applies an ecological systems theory framework to examine the complex, interconnected

factors contributing to wrongful convictions in the U.S. criminal justice system. Moving beyond isolated
explanations, the analysis considers multiple systemic levels

including individual, institutional, community, and

societal influences

that interact to produce judicial errors. Key elements such as police misconduct,

prosecutorial overreach, inadequate defense, systemic bias, and sociopolitical pressures are explored as part of a
broader ecosystem of failure. By situating wrongful convictions within this multidimensional context, the study
highlights the need for holistic reform strategies that address the structural and cultural dynamics underpinning
miscarriages of justice.

Keywords:

Wrongful convictions, U.S. criminal justice system, ecological systems theory, systemic failure, judicial

error, prosecutorial misconduct, structural injustice, legal reform, mass incarceration, institutional bias.

Introduction:

The integrity of any criminal justice

system hinges on its capacity to accurately identify and
justly punish the guilty while safeguarding the
innocent. However, the phenomenon of wrongful
convictions

where an individual is found guilty of a

crime they did not commit

represents a profound

failure of this fundamental principle, undermining
public trust and inflicting devastating consequences on
individuals, families, and communities [15, 33]. While
the exact prevalence of wrongful convictions remains
challenging to quantify, estimates suggest that they are
far from rare, with some studies indicating that
between 2% and 10% of felony convictions may be
erroneous [17, 19, 60]. Since 1989, over 3,400
exonerations have been recorded in the United States,
revealing a persistent and systemic issue within the
justice system [38].

The recognition and documentation of wrongful
convictions have gained significant momentum,
particularly with the advent of DNA testing in the late

20th century [9, 56, 58, 59]. The first DNA exoneration
in the U.S. involved Gary Dotson in 1989, a landmark
case that vividly demonstrated the fallibility of
traditional evidence and ignited the "Innocence
Movement" [3, 8, 36, 43]. This movement, comprising
legal clinics, advocacy groups, and researchers, has
systematically identified and analyzed the common
contributing factors to these miscarriages of justice,
including

eyewitness

misidentification,

false

confessions, flawed forensic science, and prosecutorial
misconduct [15, 39, 40].

While these individual factors are well-documented, a
comprehensive understanding of wrongful convictions
necessitates a framework that acknowledges their
interconnectedness and the systemic nature of their
origins.

This

article

proposes

applying

Urie

Bronfenbrenner's ecological systems theory as an
analytical lens to examine wrongful convictions within
the U.S. criminal justice system [5, 6]. Bronfenbrenner's
theory posits that human development is influenced by


background image

International Journal of Law And Criminology

2

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

multiple layers of interacting environmental systems:
the

microsystem

(immediate

environment),

mesosystem (interactions between microsystems),
exosystem (indirect influences), macrosystem (broader
cultural values and ideologies), and chronosystem
(changes over time) [5, 6].

By adopting an ecological perspective, this study aims
to move beyond a simplistic enumeration of causes to
explore how failures at various systemic levels interact
and compound, creating a fertile ground for erroneous
convictions. The purpose is to demonstrate that
wrongful convictions are not merely isolated incidents
attributable to single errors but rather emergent
properties of a complex, interconnected criminal
justice ecosystem. This approach will illuminate the
systemic vulnerabilities, cognitive biases, and societal
pressures that contribute to these profound injustices,
offering a more holistic understanding that can inform
more effective and comprehensive reform efforts.

METHODS

This study employs a qualitative, conceptual analysis
methodology,

utilizing

Urie

Bronfenbrenner's

ecological systems theory as the primary analytical
framework to understand the multifaceted nature of
wrongful convictions within the U.S. criminal justice
system. This approach allows for a systematic
categorization and interpretation of the various
contributing factors identified in existing literature,
demonstrating

their

interconnectedness

across

different systemic levels.

2.1. Research Design

The research design is a theoretical application and
synthesis. It does not involve new empirical data
collection but rather re-interprets and organizes
existing knowledge about wrongful convictions
through a novel theoretical lens. The aim is to provide
a comprehensive, multi-layered understanding of how
these injustices occur, moving beyond a simple list of
causes to illustrate their ecological origins.

2.2. Data Sources

The "data" for this study consists of a comprehensive
div of scholarly literature, legal analyses, official
reports, and historical accounts related to wrongful
convictions in the United States. Specifically, the
following types of sources were systematically
reviewed:

Academic Journal Articles: Peer-reviewed

research from fields such as criminology, law,
psychology, and forensic science that identify causes,
prevalence, and impacts of wrongful convictions [1, 7,
10, 11, 12, 14, 17, 19, 21, 22, 23, 24, 27, 28, 29, 30, 31,
41, 46, 49, 50, 52, 53, 54, 55, 57, 60].

Legal Reviews and Books: Foundational texts

and contemporary analyses of legal processes, case
studies, and systemic issues contributing to
miscarriages of justice [4, 13, 15, 16, 26, 32, 34, 35, 43,
44, 45].

Reports

from

Innocence

Organizations:

Publications from entities like the National Registry of
Exonerations (NRE) and the Innocence Project, which
compile data on exonerations and identify contributing
factors [18, 20, 36, 37, 38, 39, 40]. These reports often
provide crucial statistics and case examples.

Government

Reports:

Documents

from

agencies such as the National Institute of Justice (NIJ)

and the President’s Council of Advisors on Science and

Technology (PCAST) that address wrongful convictions,
forensic science, and criminal justice reform [33, 34, 35,
51].

Historical Accounts: Works detailing the history

of wrongful convictions and the evolution of the
innocence movement [4, 43].

All references provided by the user were meticulously
incorporated and cited within the relevant sections of
the article.

2.3. Analytical Framework: Bronfenbrenner's Ecological
Systems Theory

Bronfenbrenner's ecological systems theory [5, 6]
provides a multi-layered framework for analyzing the
contributing factors to wrongful convictions:

Microsystem: This level encompasses the

immediate environments in which an individual directly
interacts with others and evidence. In the context of
wrongful convictions, this includes:

o

Police interrogations (leading to false

confessions) [32, 45].

o

Eyewitness identification procedures [24].

o

Forensic laboratory analysis [10, 28].

o

Trial proceedings (e.g., jury decision-making,

informant testimony) [41].

o

Individual cognitive biases of actors (police,

witnesses, forensic analysts) [10, 11, 28, 49].

Mesosystem: This level refers to the

interactions and interconnections between two or
more microsystems. For wrongful convictions, this
involves:

o

The relationship between police investigators

and prosecutors (e.g., information sharing, pressure to
secure convictions) [14].

o

The interface between forensic scientists and

legal actors (e.g., communication of scientific
limitations, pressure to align findings with investigative


background image

International Journal of Law And Criminology

3

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

theories) [10, 28, 34, 35].

o

The interplay between eyewitnesses and

police/prosecutors (e.g., suggestive questioning,
confirmation bias affecting identification) [24].

Exosystem: This level comprises external

systems that indirectly influence the individual and the
immediate justice processes. These are systems in
which the individual does not directly participate but
which affect their microsystems. In this context, it
includes:

o

Media influence and public opinion (shaping

perceptions of crime and justice, creating pressure for
convictions) [7, 46, 53].

o

Institutional policies and resource allocation

(e.g., funding for public defense, police training,
forensic lab resources) [25, 29].

o

Political pressures on law enforcement and

prosecutors to maintain high conviction rates or
address specific crime trends [25, 29].

Macrosystem: This is the broadest level,

encompassing the overarching cultural values, beliefs,
laws, and ideologies of the society. For wrongful
convictions, this includes:

o

Systemic racial bias and discrimination

embedded within legal structures and societal norms
[23, 50, 54, 55].

o

The adversarial nature of the U.S. criminal

justice system and its emphasis on winning cases [14].

o

Dominant "tough on crime" or punitive justice

ideologies that prioritize conviction over due process
[27, 53].

o

The "system justification" tendency, where

individuals are motivated to defend the legitimacy of
existing social systems, even when faced with evidence
of injustice [27, 53].

Chronosystem: This dimension refers to the

patterning of environmental events and transitions
over the life course, as well as socio-historical
circumstances. In the context of wrongful convictions,
it includes:

o

The emergence and evolution of forensic

science (e.g., DNA technology) and its impact on post-
conviction relief [9, 36, 47, 51, 56, 58, 59].

o

The rise and growth of the Innocence

Movement and its influence on legal reforms and public
awareness [13, 25, 29, 43].

o

Shifts in legal policy, public opinion, and

scientific understanding over time that affect how
justice is administered and miscarriages are addressed.

2.4. Data Analysis

The analysis involved a systematic thematic
categorization of the identified causes of wrongful
convictions within the U.S. criminal justice system. Each
contributing factor, as documented in the reviewed
literature, was assigned to one or more levels of
Bronfenbrenner's ecological model. The process
involved:

1.

Identification

of

Contributing

Factors:

Extracting all identified causes of wrongful convictions
from the reviewed sources (e.g., eyewitness
misidentification, false confessions, forensic error,
prosecutorial misconduct).

2.

Categorization by Ecological Level: Assigning

each factor to its primary ecological level (microsystem,
mesosystem,

exosystem,

macrosystem,

chronosystem), while acknowledging that many factors
span multiple levels.

3.

Elaboration and Interconnection: Detailing

how each factor operates within its respective system
and, crucially, how factors across different systems
interact and compound to produce wrongful outcomes.

4.

Integration

of

Statistics:

Incorporating

concrete numbers and racial statistics from the
National Registry of Exonerations and other relevant
sources

to

quantify

the

prevalence

and

disproportionate impact of certain factors on specific
demographic groups.

This analytical approach allows for a holistic
understanding of wrongful convictions as products of a
complex interplay of individual actions, interpersonal
dynamics, institutional structures, and societal values,
rather than isolated errors.

RESULTS

The application of Bronfenbrenner's ecological systems
theory reveals that wrongful convictions in the U.S.
criminal justice system are not isolated anomalies but
rather emergent properties of interconnected failures
across multiple systemic levels. The analysis of existing
literature highlights how factors at the microsystem,
mesosystem,

exosystem,

macrosystem,

and

chronosystem levels interact and compound, creating
vulnerabilities that lead to miscarriages of justice.

3.1. Overview of Wrongful Convictions and
Contributing Factors

The National Registry of Exonerations (NRE) provides
the most comprehensive data on wrongful convictions
in the United States. As of early 2024, the NRE has
documented over 3,400 exonerations since 1989 [38].
These cases represent individuals who were wrongly
convicted of crimes and later cleared of all charges. The
NRE identifies several leading contributing factors to
these exonerations, often with multiple factors present


background image

International Journal of Law And Criminology

4

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

in a single case [40].

Eyewitness Misidentification: This is the most

common contributing factor, present in approximately
63% of DNA exonerations [40].

False Confessions: These occur in about 28% of

DNA exonerations [40].

Perjury or False Accusation: This factor is

present in 57% of all exonerations [40].

Official Misconduct: This includes misconduct

by police, prosecutors, or other government actors,
present in 54% of all exonerations [40].

Flawed

Forensic

Science:

This

factor

contributes to approximately 24% of DNA exonerations
[40].

Informants/Snitches: Testimony from these

unreliable sources contributes to about 16% of DNA
exonerations [40].

3.2. Microsystem Failures: Individual and Immediate
Interactions

At the microsystem level, errors and biases within
immediate interactions and individual cognitive
processes significantly contribute to wrongful
convictions.

Eyewitness Misidentification: Despite its

prevalence, eyewitness testimony is notoriously
fallible. Factors such as poor lighting, stress, cross-racial
identification, and suggestive police procedures can
lead to erroneous identifications [24]. Research by
Hasel and Kassin (2009) demonstrates how confessions
can "corrupt" eyewitness identifications, showing how
information from one microsystem (interrogation) can
contaminate another (eyewitness memory) [24].

False Confessions: Individuals, particularly

juveniles, those with intellectual disabilities, or those
under duress, can be coerced or manipulated into
confessing to crimes they did not commit [32, 45]. Leo
and Davis (2010) identify seven psychological processes
that can lead from false confession to wrongful
conviction, including police interrogation tactics,
confirmation bias, and cognitive biases on the part of
investigators [32]. Vick, Cook, and Rogers (2021)
highlight the particularly dangerous phenomenon of
"lethal leverage," where false confessions and pleas
contribute to wrongful homicide convictions in death-
eligible cases [57].

Flawed Forensic Science: While forensic

science is often perceived as infallible, errors and even
misconduct occur. This can involve misinterpretation of
evidence, overstating the certainty of findings, or using
unvalidated scientific methods [34, 35, 47]. The
President's Council of Advisors on Science and

Technology (PCAST) (2016) has raised serious concerns
about the scientific validity of several feature-
comparison methods [34]. Dror, Charlton, and Péron
(2006) demonstrate how contextual information can
render forensic experts vulnerable to making
erroneous identifications, illustrating a cognitive bias at
the individual level [10]. Morgan (2024) provides a
current overview of forensic science improvement
efforts, acknowledging past failures [33].

Informant Testimony: Jailhouse informants

and other incentivized witnesses often provide
unreliable or fabricated testimony in exchange for
leniency or other benefits, directly contributing to
wrongful convictions [41]. Neuschatz et al. (2008)
illustrate the significant impact of such witnesses on
jury decision-making [41].

Cognitive Biases: Individual actors within the

microsystem (police, prosecutors, judges, jurors,
forensic analysts) are susceptible to cognitive biases
such as confirmation bias (the tendency to seek,
interpret, and remember information in a way that
confirms one's pre-existing beliefs) [28, 29, 42, 49, 61].
This bias can lead investigators to focus solely on
evidence that implicates a suspect while ignoring
exculpatory evidence [14].

3.3. Mesosystem Failures: Inter-Agency Interactions
and Information Flow

Failures at the mesosystem level arise from
problematic interactions and information flow
between different components of the criminal justice
system.

Tunnel Vision: This phenomenon, described by

Findley and Scott (2006), involves the "single-minded
focus on a particular suspect or theory of a crime that
leads to the exclusion of other possibilities" [14]. It is a
mesosystem issue because it often involves the
collaboration of police and prosecutors, where initial
biases in investigation are reinforced by prosecutorial
strategies, leading to a narrow focus that overlooks
alternative suspects or exculpatory evidence [14, 29].
Rossmo (2016) offers a protocol for "case rethinking"
to combat such biases [52].

Forensic Confirmation Bias: This occurs when

contextual information from law enforcement
influences a forensic examiner's interpretation of
evidence [28, 49]. Dror et al. (2006) showed how
fingerprint examiners' decisions could be swayed by
irrelevant contextual information [10]. This highlights a
dangerous interaction between the investigative
microsystem and the forensic microsystem.

Prosecutorial Misconduct: While often an

individual act, prosecutorial misconduct (e.g.,


background image

International Journal of Law And Criminology

5

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

withholding exculpatory evidence, presenting false
evidence) is frequently facilitated by the mesosystem's
dynamics, where the adversarial pressure to win cases
can override ethical obligations [15]. The NRE reports
that official misconduct, which includes prosecutorial
misconduct, is a contributing factor in 54% of all
exonerations [40].

3.4. Exosystem Failures: Indirect Systemic Influences

The exosystem encompasses external factors that
indirectly influence the criminal justice process, often
shaping the environment in which microsystem and
mesosystem interactions occur.

Public Opinion and Media Influence: Public

demand for "tough on crime" policies and rapid
convictions, often fueled by sensationalized media
coverage, can exert pressure on law enforcement and
prosecutors [7, 46]. Burstein (2003) discusses the
impact of public opinion on public policy, a dynamic
that extends to criminal justice [7]. Ermasova et al.
(2024) explore how public perceptions, including those
of law enforcement professionals, influence views on
wrongful convictions and needed reforms [12].

Resource Disparities: Underfunded public

defense systems, compared to well-resourced
prosecution offices, can create an imbalance that
disadvantages defendants, increasing the likelihood of
wrongful convictions [15]. The allocation of resources
to forensic labs, police training, and investigative
technologies also indirectly impacts the quality of
evidence and investigations.

Political Pressure: Elected officials (e.g., district

attorneys, sheriffs) may face political pressure to
maintain high conviction rates or to secure convictions
in high-profile cases, potentially leading to shortcuts or
an overzealous pursuit of a particular suspect [25, 29].
Hicks, Mullinix, and Norris (2021) analyze how partisan
politics and advocacy efforts influence wrongful
conviction legislation at the state level [25].

3.5. Macrosystem Failures: Broad Societal Values and
Ideologies

The macrosystem represents the overarching cultural
values, laws, and ideologies that shape the entire
criminal justice system, often contributing to systemic
vulnerabilities.

Systemic Racial Bias: This is a pervasive

macrosystem factor that disproportionately affects
certain groups. The NRE data reveal stark racial
disparities:

o

African Americans constitute 52% of all

exonerees, despite making up only 13% of the U.S.
population [38].

o

African Americans are seven times more likely

to be wrongly convicted of murder than white people.
For sexual assault, they are 3.5 times more likely to be
wrongly convicted [38].

o

This disparity is particularly pronounced in drug

crimes, where African Americans are 12 times more
likely to be wrongly convicted than white people, often
due to false accusations by police informants [38].

o

Harmon (2004) specifically analyzed the role of

race in erroneous capital convictions, finding significant
racial disparities [23].

o

Richardson (2017) discusses "systemic triage"

and implicit racial bias within the criminal courtroom,
illustrating how racial bias can permeate decision-
making at various stages [50].

o

Steffensmeier, Ulmer, and Kramer (1998) and

Steffensmeier, Painter-Davis, and Ulmer (2017) have
extensively documented how the intersectionality of
race, gender, and age influences criminal sentencing,
suggesting broader systemic biases within the justice
system [54, 55].

Adversarial System Philosophy: The U.S.

criminal justice system is fundamentally adversarial,
pitting prosecution against defense. While designed to
uncover truth, this system can incentivize "winning"
over justice, potentially leading to the suppression of
exculpatory evidence or aggressive interrogation
tactics [14, 26].

Punitive Justice Ideology: A societal emphasis

on punishment and retribution, often fueled by "tough
on crime" rhetoric, can create a climate where
conviction rates are prioritized over meticulous
investigation and due process. This ideology can lead to
a presumption of guilt and a reluctance to acknowledge
error [27, 53]. Sohoni, Snell, and Harden (2021) explore
how media portrayals of crime can contribute to
"system justification," where individuals defend the
existing system even in the face of flaws [53].

3.6. Chronosystem Factors: The Influence of Time and
Change

The chronosystem highlights how historical context
and evolving circumstances impact the occurrence and
detection of wrongful convictions.

Emergence of DNA Technology: The discovery

of DNA (deoxyribonucleic acid) by Miescher in 1869 [9,
59] and its structure elucidated by Watson and Crick in
1953 [58] laid the groundwork for forensic DNA
analysis. The first DNA exoneration in 1989 (Gary
Dotson) [3, 8, 36] marked a turning point, revealing the
widespread problem of wrongful convictions and
providing a powerful tool for post-conviction relief [51].
DNA testing has been instrumental in 24% of all
exonerations [40].


background image

International Journal of Law And Criminology

6

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

Growth of the Innocence Movement: The

Innocence Movement, catalyzed by DNA exonerations,
has grown significantly over time, becoming a powerful
force for reform [13, 43]. This movement has brought
increased public awareness [7], advocated for
legislative changes (e.g., compensation laws for
exonerees) [25, 29], and established a robust
infrastructure for identifying and investigating
wrongful convictions [37, 38].

Shifts

in

Legal

Policy

and

Scientific

Understanding: Over time, legal policies regarding
eyewitness identification, interrogation techniques,
and forensic science standards have evolved in
response to growing awareness of wrongful convictions
[34, 35]. This ongoing adaptation reflects a
chronosystemic response to identified systemic
failures.

In sum, wrongful convictions are not merely random
occurrences but are deeply embedded within the fabric
of the U.S. criminal justice system. They arise from a
complex interplay of individual cognitive biases
(microsystem), dysfunctional inter-agency dynamics
(mesosystem), external pressures and resource
disparities (exosystem), deeply ingrained societal
values and systemic biases (macrosystem), and
historical developments that both contribute to and
reveal these injustices (chronosystem).

DISCUSSION

The application of Bronfenbrenner's ecological systems
theory provides a robust and comprehensive
framework for understanding wrongful convictions in
the U.S. criminal justice system. This analysis moves
beyond a simple enumeration of contributing factors to
illustrate how these miscarriages of justice are the
product of complex interactions across multiple,
interconnected

systemic

levels.

The

findings

underscore that wrongful convictions are not isolated
errors but rather systemic failures, deeply embedded
within the structure and operation of the justice
system.

4.1. The Interconnectedness of Systemic Failures

The ecological model vividly demonstrates that factors
contributing to wrongful convictions rarely operate in
isolation. Instead, errors and biases at the microsystem
level (e.g., faulty eyewitness identification, false
confessions, forensic error) are often exacerbated and
perpetuated by mesosystem dynamics (e.g., tunnel
vision, confirmation bias across agencies, prosecutorial
misconduct) [10, 14, 28, 29, 49]. These inter-agency
failures, in turn, are influenced by exosystemic
pressures (e.g., media sensationalism, political
demands for high conviction rates, resource
limitations) [7, 25, 46]. At the broadest level,

macrosystemic factors, such as systemic racial bias and
a punitive justice ideology, create a fertile ground for
these vulnerabilities to manifest, disproportionately
affecting certain populations [23, 38, 50]. Finally, the
chronosystem highlights how historical developments,
such as the emergence of DNA technology, have both
revealed the extent of the problem and provided tools
for addressing it [3, 51].

For example, a false confession (microsystem) might be
obtained through coercive interrogation tactics. This
false confession then fuels tunnel vision among
investigators and prosecutors (mesosystem), leading
them to ignore exculpatory evidence. This process can
be intensified by public pressure for a quick conviction
(exosystem) in a high-profile case, and ultimately,
systemic racial biases (macrosystem) can make certain
defendants more vulnerable to such outcomes [15, 32,
50]. The ecological perspective thus emphasizes that
effective reform requires a multi-pronged approach
that addresses vulnerabilities at every level of the
system, rather than focusing on isolated fixes.

4.2. Addressing Systemic Racial Disparities

A particularly critical finding illuminated by the
macrosystem

analysis

is

the

pervasive

and

disproportionate impact of wrongful convictions on
racial minorities, especially African Americans. The
stark statistics from the National Registry of
Exonerations

showing African Americans as 52% of all

exonerees and significantly more likely to be wrongly
convicted of serious crimes like murder and sexual
assault

reveal a profound systemic injustice [38]. This

is not merely an unfortunate outcome but a reflection
of deeply ingrained biases within the criminal justice
system, from policing practices to prosecutorial
decisions and jury selection [23, 50, 54, 55].

Addressing this requires more than just individual
training on implicit bias; it necessitates systemic
reforms that dismantle discriminatory practices and
challenge the underlying ideologies that perpetuate
racial disparities. This includes re-evaluating policies
that disproportionately target minority communities,
ensuring equitable access to legal representation, and
actively combating racial bias at every stage of the
criminal justice process. The "system justification"
theory [27, 53] suggests that public and institutional
reluctance to acknowledge these disparities is a
significant barrier to reform, making public education
and advocacy crucial.

4.3. Implications for Reform and Prevention

The ecological understanding of wrongful convictions
offers clear implications for comprehensive reform
efforts:


background image

International Journal of Law And Criminology

7

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

Microsystem Reforms: Focus on improving the

reliability of evidence. This includes implementing best
practices for eyewitness identification (e.g., blind
administration, sequential lineups) [24], recording all
custodial interrogations to prevent false confessions
[32, 45], and establishing rigorous scientific standards
and independent oversight for forensic laboratories
[34, 35, 33]. Training to mitigate cognitive biases like
confirmation bias among all actors is also essential [28,
49].

Mesosystem Reforms: Enhance inter-agency

communication and accountability to combat tunnel
vision and prosecutorial misconduct. This involves
fostering a culture of open information sharing,
implementing robust discovery rules, and establishing
independent review mechanisms for questionable
convictions [14, 15]. Rossmo (2016) suggests a "case
rethinking"

protocol to

systematically

review

investigations and identify potential biases [52].

Exosystem Reforms: Educate the public and

policymakers about the causes and prevalence of
wrongful convictions to reduce undue pressure for
convictions and foster support for reforms. This
includes advocating for adequate funding for public
defense services, which are critical for ensuring fair
trials [15]. Legislation for compensation for exonerees
is also a vital exosystemic response [25, 29].

Macrosystem

Reforms:

Challenge

and

dismantle systemic racial biases within the criminal
justice system through policy changes, implicit bias
training, and addressing the root causes of racial
disparities in arrests and sentencing [50, 54, 55]. Re-
evaluate punitive justice ideologies to prioritize truth-
seeking and due process over conviction rates [27].

Chronosystemic Adaptations: Continue to

invest in and integrate advanced forensic technologies
like DNA analysis for both initial investigations and
post-conviction review [51]. Sustain and expand the
vital work of innocence organizations, which play a
crucial role in identifying and exonerating the wrongly
convicted and advocating for systemic change [13, 37,
38, 43].

4.4. Limitations and Future Research

As a conceptual analysis, this study's primary limitation
is its reliance on existing literature rather than new
empirical data. While it synthesizes strong theoretical
arguments and draws insights from various studies, it
does not provide direct empirical evidence of the
effectiveness of specific reform interventions. The
inherent difficulty in precisely quantifying the true
prevalence of wrongful convictions also remains a
challenge [17, 19, 60].

Future research should focus on:

Empirical Studies of Interventions: Conduct

rigorous empirical evaluations of specific reforms
implemented at different ecological levels to assess
their effectiveness in reducing wrongful convictions.

Longitudinal Analyses: Track the long-term

impact of legislative changes and policy shifts on
wrongful conviction rates and contributing factors.

Comparative Justice Systems: Compare the

prevalence and causes of wrongful convictions in the
U.S. with those in other adversarial and inquisitorial
justice systems to identify universal and context-
specific vulnerabilities.

Qualitative

Research: Conduct

in-depth

qualitative studies (e.g., interviews with exonerees,
legal professionals, and policymakers) to gain nuanced
insights into the lived experiences of wrongful
conviction and the systemic factors involved.

Public Perception Studies: Further investigate

public and professional perceptions of wrongful
convictions and the factors that influence support for
reform [12].

CONCLUSION

Wrongful convictions represent a profound moral and
systemic failing within the U.S. criminal justice system.
By applying Bronfenbrenner's ecological systems
theory, this study demonstrates that these
miscarriages of justice are not random occurrences but
are deeply rooted in a complex interplay of individual
errors, inter-agency dynamics, external pressures, and
pervasive societal ideologies, including systemic racial
bias. Failures at the microsystem, mesosystem,
exosystem, and macrosystem levels interact and
compound over time (chronosystem), creating a
vulnerable ecosystem ripe for injustice.

The disproportionate impact on racial minorities,
particularly African Americans, underscores the urgent
need for justice system reform that is not only
evidence-based but also equity-driven. True prevention
of wrongful convictions requires a holistic, multi-level
approach that addresses the fallibility of evidence,
mitigates cognitive biases, promotes inter-agency
accountability, challenges punitive ideologies, and
actively dismantles systemic discrimination. The
ongoing work of the Innocence Movement, coupled
with advancements in forensic science, offers a beacon
of hope, but sustained vigilance and a collective
commitment to justice at every level of the ecological
system are essential to safeguard the innocent and
ensure the integrity of the criminal justice process.

REFERENCES


background image

International Journal of Law And Criminology

8

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

Bedau, H. A., & Radelet, M. L. (1987). Miscarriages
of justice in potentially capital cases. Stanford Law
Review,

40(1),

21

179.

https://images.procon.org/wp-
content/uploads/sites/45/hugobedaumichalerede
let.pdf

Blackerby, J. C. (2003). Life after death row:
Preventing wrongful capital convictions and
restoring innocence after exoneration. Vanderbilt
Law

Review,

56(4),

1226.

https://scholarship.law.vanderbilt.edu/cgi/viewco
ntent.cgi?article=1762&context=vl

Bluhm Legal Clinic Northwestern Pritzker School of
Law. (2024). First DNA exoneration. Northwestern
Pritzker

Law.

https://www.law.northwestern.edu/legalclinic/wr
ongfulconvictions/exonerations/il/gary-
dotson.html

Borchard, E. (1932). Convicting the innocent: Sixty-
five actual errors of criminal justice. Garden City
Publishing Company.

Bronfenbrenner,

U.

(1977).

Toward

an

experimental ecology of human development.
American

Psychologist,

32(7),

513

531.

https://doi.org/10.1037/0003-066X.32.7.513

Bronfenbrenner, U. (1979). The ecology of human
development: Experiments by nature and design.
Harvard University Press.

Burstein, P. (2003). The impact of public opinion on
public policy: A review and an agenda. Political
Research

Quarterly,

56(1),

29

40.

https://doi.org/10.1177/10659129030560010

Chicago Tribune. (1989). State dismisses Dotson
rape

case.

https://www.chicagotribune.com/1989/08/15/sta
te-dismisses-dotson-rape-case/

Dahm, R. (2008). Discovering DNA: Friedrich
Miescher and the early years of nucleic acid
research. Human Genetics, 122(6), 565

581.

https://doi.org/10.1007/s00439-007-0433-0

Dror, I. E., Charlton, D., & Péron, A. E. (2006).
Contextual information renders experts vulnerable
to making erroneous identifications. Forensic
Science

International,

156(1),

74

78.

https://doi.org/10.1016/j.forsciint.2005.10.017

Elaad, E., Ginton, A., & Ben-Shakhar, G. (1994). The
effects of prior expectations and outcome

knowledge on polygraph examiners’ decisions.

Journal of Behavioral Decision Making, 7(4), 279

292.

https://doi.org/10.1002/bdm.3960070405

Ermasova, N., Ceka, E., Adams, A., & Jackson, L.
(2024). Perceptions toward wrongful convictions
and needed reforms in the criminal justice system:
Does working experience in law enforcement
matter? Journal of Qualitative Criminal Justice &
Criminology.

Pre-Issue

Pubs,

1

34.

https://doi.org/10.21428/88de04a1.8db4cc4e

Findley, K. A. (2008). Toward a new paradigm of
criminal justice: How the innocence movement
merges crime control and due process. Texas Tech
Law

Review,

41,

133

173.

http://www.antoniocasella.eu/restorative/Findley
_2009.pdf

Findley, K. A., & Scott, M. S. (2006). The multiple
dimensions of tunnel vision in criminal cases.
Wisconsin

Law

Review,

2,

291

397.

https://media.law.wisc.edu/m/hyjb3/findley_scot
t_final.pdf

Garrett, B. L. (2011). Convicting the innocent:
Where criminal prosecutions go wrong. Harvard
University Press.

Gould, J. B., Carrano, J., Leo, R., & Young, J. (2013).
Predicting erroneous convictions: A social science
approach to miscarriages of justice (Report No. NCJ
241389). Final report to the National Institute of
Justice,

grant

number

2009-IJ-CX-4110.

https://www.ojp.gov/pdffiles1/nij/grants/241389.
pdf

Gross, S. R. (2017). What we think, what we know
and what we think we know about false conviction.
Ohio State Journal of Criminal Law, 14(753), 753

786.

https://repository.law.umich.edu/cgi/viewcontent
.cgi?article=2882&context=articles

Gross, S. R., Jacoby, K., Matheson, D. J.,
Montgomery, N., & Patil, S. (2005). Exonerations in
the United States 1989 through. Journal of Criminal
Law

&

Criminology,

95(2),

523

560.

https://capitalpunishmentincontext.org/files/reso
urces/innocence/exonerationsgrossarticle.pdf

Gross, S. R., & O’Brien, B. (2008). Frequenc

y and

predictors of false conviction: Why we know so
little, and new data on capital cases. Journal of
Empirical

Legal

Studies,

5(4),

927

962.

https://doi.org/10.1111/j.1740-
1461.2008.00146.x


background image

International Journal of Law And Criminology

9

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

Gross, S. R., & Schaffer, M. (2012). Exonerations in
the United States, 1989

2012: Report by the

National Registry of Exonerations. University of
Michigan Law School.

Harmon, T. (2001a). Predictors of miscarriages of
justice in capital cases. Justice Quarterly, 18(4),
949

968.

https://doi.org/10.1080/07418820100095141

Harmon, T. (2001b). Guilty until proven innocent:
An analysis of post-Furman capital errors. Criminal
Justice

Policy

Review,

12(2),

113

139.

https://doi.org/10.1177/0887403401012002002

Harmon, T. (2004). Race for your life: An analysis of
the role of race in erroneous capital convictions.
Criminal

Justice

Review,

29(1),

76

96.

https://doi.org/10.1177/073401680402900

Hasel, L., & Kassin, S. (2009). On the presumption
of evidentiary independence: Can confessions
corrupt eyewitness identifications? Psychological
Science,

20(1),

122

126.

https://doi.org/10.1111/j.1467-
9280.2008.02262.x

Hicks, W. D., Mullinix, K. J., & Norris, R. J. (2021).
The politics of wrongful conviction legislation. State
Politics & Policy Quarterly, 21(3), 306

325.

https://www.cambridge.org/core/journals/state-
politics-and-policy-quarterly/article/abs/politics-
of-wrongful-conviction-
legislation/4EB3BD2D21529C36EA29B9FF5769710
6

Janis, I. L. (1982). Groupthink: Psychological studies
of policy decisions and fiascoes (2nd ed.).
Houghton Mifflin.

Jost, J., & Hunyady, O. (2003). The psychology of
system justification and the palliative function of
ideology. European Review of Social Psychology,
13(1),

111

153.

https://doi.org/10.1080/10463280240000046

Kassin, S., Dror, I., & Kukucka, J. (2013). The
forensic confirmation bias: Problems, perspectives,
and proposed solutions. Journal of Applied
Research in Memory and Cognition, 2(1), 42

52.

https://doi.org/10.1016/j.jarmac.2013.01.001

Kent, S. L., & Carmichael, J. T. (2015). Legislative
responses to wrongful conviction: Do partisan
principals and advocacy efforts influence state-
level criminal justice policy? Social Science
Research,

52,

147

160.

https://doi.org/10.1016/j.ssresearch.2015.01.004

Klayman, J., & Ha, Y.-W. (1987). Confirmation,
disconfirmation, and information in hypothesis
testing. Psychological Review, 94(2), 211

228.

https://doi.org/10.1037/0033-295X.94.2.211

Leo, R. A. (2005). Rethinking the study of
miscarriages of justice: Developing a criminology of
wrongful conviction. Journal of Contemporary
Criminal

Justice,

21(3),

201

223.

https://doi.org/10.1177/1043986205277477

Leo, R., & Davis, D. (2010). From false confession to
wrongful

conviction:

Seven

psychological

processes. Journal of Psychiatry & Law, 38(1

2), 9

56.

https://doi.org/10.0000/0000

Lofquist, W. S. (2014). Finding the causes in the
contexts:

Structural

sources

of

wrongful

convictions. In A. D. Redlich, J. R. Acker, R. J. Norris,
& C. L. Bonventre (Eds.), Examining wrongful
convictions: Stepping back, moving forward (pp.
19

34). Carolina Academic Press.

Morgan, J. S. (2024). Current state of forensic
science improvement in the United States: Lessons
from wrongful convictions. Forensic Science
Review,

36(1),

41

54.

http://forensicsciencereview.com/Abstract/36(1)-
2%20(web).pdf

National Institute of Justice. (2023). Wrongful
convictions: The literature, the issues, and the
unheard voices. U.S. Department of Justice.

https://www.ojp.gov/pdffiles1/nij/251446.pdf

National Institute of Justice. (2024). Wrongful
convictions.

https://nij.ojp.gov/topics/justice-

system-reform/wrongful-convictions

National Registry of Exonerations. (2012). Gary
Dotson

National registry of exonerations.

National Registry of Exonerations. (2023). 2022
Annual Report.

National Registry of Exonerations. (2024). Glossary.

National Registry of Exonerations. (2024). Percent
of exonerations by contributing factor.

Neuschatz, J. S., Lawson, D. S., Swanner, J. K.,
Meissner, C. A., & Neuschatz, J. S. (2008). The
effects of accomplice witnesses and jailhouse
informants on jury decision making. Law and
Human

Behavior,

32(2),

137

149.

https://doi.org/10.1007/s10979-007-9100-1

Nickerson, R. S. (1998). Confirmation bias: A
ubiquitous phenomenon in many guises. Review of


background image

International Journal of Law And Criminology

10

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

General

Psychology,

2(2),

175

220.

https://doi.org/10.1037/1089-2680.2.2.175

Norris, R. J. (2017). Exonerated: A history of the
innocence movement. NYU Press.

O’Brien, B., & Findley, K. (2017). Psychological

perspectives: Cognition and decision making. In A.
D. Redlich, J. R. Acker, R. J. Norris, & C. L. Bonventre
(Eds.), Examining wrongful convictions: Stepping
back, moving forward (pp. 35

53). Carolina

Academic Press.

Ofshe, R., & Leo, R. (1997). The social psychology of
police interrogation: The theory and classification
of true and false confessions. Studies in Law Politics
and

Society,

16(4),

189

254.

https://papers.ssrn.com/sol3/papers.cfm?abstract
_id=1141368

Pickett, J. T. (2019). Public opinion and criminal
justice policy: Theory and research. Annual Review
of

Criminology,

2(1),

405

428.

https://doi.org/10.1146/annurev-criminol-
011518-024826

Plummer, C. M., & Syed, I. J. (2012). Shifted science
and post-conviction relief. Stanford Journal of Civil
Rights and Civil Liberties, 8(2), 259

298.

https://searchworks.stanford.edu/view/jm472mb
8525

President’s Council of Advisors on Science and

Technology. (2016). Report to the President:
Forensic science in criminal courts, ensuring
scientific validity of feature comparison methods.

https://obamawhitehouse.archives.gov/sites/defa
ult/files/microsites/ostp/PCAST/pcast_forensic_sc
ience_report_final.pdf

Rassin, E. (2020). Context effect and confirmation
bias in criminal fact finding. Legal and
Criminological

Psychology,

25(2),

80

89.

https://doi.org/10.1111/lcrp.12172

Rich, A &., & Zhang, S. (2003). Z-DNA: The long road
to biological function. Nature Reviews Genetics,
4(7), 566

572.

https://doi.org/10.1038/nrg1115

Richardson, L. S. (2017). Systemic triage: Implicit
racial bias in the criminal courtroom. Yale Law
Journal,

126(3),

862

893.

https://www.yalelawjournal.org/article/systemic-
triage-implicit-racial-bias-in-the-criminal-
courtroom

Roman, J., Walsh, K., Lachman, P., & Yahner, J.
(2012). Post-Conviction DNA Testing and Wrongful
Conviction. Urban Institute Justice Policy Center.

National Institute of Justice, Office of Justice
Programs, U.S. Department of Justice. Contract No.
2008F-08165.

https://www.ojp.gov/pdffiles1/nij/251446.pdf

Rossmo, D. K. (2016). Case rethinking: A protocol
for reviewing criminal investigations. Police
Practice

and

Research,

17(3),

212

228.

https://doi.org/10.1080/15614263.2014.978320

Simon, H. A. (1956). Rational choice and the
structure of the environment. Psychological
Review,

63(2),

129

138.

https://doi.org/10.1037/h0042769

Sohoni, T., Snell, J., & Harden, E. (2021). He was

drugged up on something…” Portrayals of drugs

and violence on crime scene investigation (CSI) as
system justification. Journal of Drug Issues, 51(4),
690

710.

https://doi.org/10.1177/00220426211034404

Steffensmeier, D., Painter-Davis, N., & Ulmer, J.
(2017). Intersectionality of race, ethnicity, gender,
and age on criminal punishment. Sociological
Perspectives,

60(4),

810

833.

https://doi.org/10.1177/0731121416679371

Steffensmeier, D., Ulmer, J., & Kramer, J. (1998).
The interaction of race, gender, and age in criminal
sentencing: The punishment cost of being young,
black, and male. Criminology, 36(4), 763

798.

https://doi.org/10.1111/j.1745-
9125.1998.tb01265.x

United States Environmental Protection Agency.
(2023).

Ecological

condition.

EPA.

[https://www.google.com/search?q=https://www
.epa.gov/report-environment/ecological-
condition%23:~:text%3DAn%2520%25E2%2580%2
59Cecological%2520system%25E2%2580%259D%
2520(ecosystem,with%2520which%2520the%252
0organisms%2520interact](https://www.google.c
om/search?q=https://www.epa.gov/report-
environment/ecological-
condition%23:~:text%3DAn%2520%25E2%2580%2
59Cecological%2520system%25E2%2580%259D%
2520(ecosystem,with%2520which%2520the%252
0organisms%2520interact)

United States v. Garsson. (1923). 291 F. 646, 649
(S.D.NY).

University of West Florida Online. (2019). The
history of DNA: From crime scenes to consumer
goods.

Science.

https://onlinedegrees.uwf.edu/articles/the-
history-of-dna/


background image

International Journal of Law And Criminology

11

https://theusajournals.com/index.php/ijlc

International Journal of Law And Criminology (ISSN: 2771-2214)

Vick, K., Cook, K. J., & Rogers, M. (2021). Lethal
leverage: False confessions, false pleas, and
wrongful homicide convictions in death-eligible
cases. Contemporary Justice Review, 24(1), 24

42.

https://doi.org/10.1080/10282580.2020.1755845

Walsh, K., Hussemann, J., Flynn, A., Yahner, J., &
Golian, L. (2017). Estimating the prevalence of
wrongful convictions. Report No. 251115 Final
Report to the National Criminal Justice Reference
Service,

grant

number

2013-IJ-CX-0004.

https://www.ojp.gov/pdffiles1/nij/grants/251115.
pdf

Wason, P. C. (1960). On the failure to eliminate
hypotheses in a conceptual task. Quarterly Journal
of Experimental Psychology, 12(3), 129

140.

https://doi.org/10.0000/0000

Watson, J. D., & Crick, F. H. C. (1953). A structure
for deoxyribose nucleic acid. Nature, 171(4356),
737

738.

https://doi.org/10.1038/171737a0

Wolf, G. (2003). Friedrich Miescher: The man who
discovered DNA. Chemical Heritage, 21(10

11),

37

41.

https://doi.org/10.1080/17470216008416717

Zalman, M., Smith, B., & Kiger, A. (2008). Offi

cials’

estimates of the incidence of “actual innocence”

convictions. Justice Quarterly, 25(1), 72

100.

https://doi.org/10.1080/07418820801954563

References

Bedau, H. A., & Radelet, M. L. (1987). Miscarriages of justice in potentially capital cases. Stanford Law Review, 40(1), 21–179. https://images.procon.org/wp-content/uploads/sites/45/hugobedaumichaleredelet.pdf

Blackerby, J. C. (2003). Life after death row: Preventing wrongful capital convictions and restoring innocence after exoneration. Vanderbilt Law Review, 56(4), 1226. https://scholarship.law.vanderbilt.edu/cgi/viewcontent.cgi?article=1762&context=vl

Bluhm Legal Clinic Northwestern Pritzker School of Law. (2024). First DNA exoneration. Northwestern Pritzker Law. https://www.law.northwestern.edu/legalclinic/wrongfulconvictions/exonerations/il/gary-dotson.html

Borchard, E. (1932). Convicting the innocent: Sixty-five actual errors of criminal justice. Garden City Publishing Company.

Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32(7), 513–531. https://doi.org/10.1037/0003-066X.32.7.513

Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press.

Burstein, P. (2003). The impact of public opinion on public policy: A review and an agenda. Political Research Quarterly, 56(1), 29–40. https://doi.org/10.1177/10659129030560010

Chicago Tribune. (1989). State dismisses Dotson rape case. https://www.chicagotribune.com/1989/08/15/state-dismisses-dotson-rape-case/

Dahm, R. (2008). Discovering DNA: Friedrich Miescher and the early years of nucleic acid research. Human Genetics, 122(6), 565–581. https://doi.org/10.1007/s00439-007-0433-0

Dror, I. E., Charlton, D., & Péron, A. E. (2006). Contextual information renders experts vulnerable to making erroneous identifications. Forensic Science International, 156(1), 74–78. https://doi.org/10.1016/j.forsciint.2005.10.017

Elaad, E., Ginton, A., & Ben-Shakhar, G. (1994). The effects of prior expectations and outcome knowledge on polygraph examiners’ decisions. Journal of Behavioral Decision Making, 7(4), 279–292. https://doi.org/10.1002/bdm.3960070405

Ermasova, N., Ceka, E., Adams, A., & Jackson, L. (2024). Perceptions toward wrongful convictions and needed reforms in the criminal justice system: Does working experience in law enforcement matter? Journal of Qualitative Criminal Justice & Criminology. Pre-Issue Pubs, 1–34. https://doi.org/10.21428/88de04a1.8db4cc4e

Findley, K. A. (2008). Toward a new paradigm of criminal justice: How the innocence movement merges crime control and due process. Texas Tech Law Review, 41, 133–173. http://www.antoniocasella.eu/restorative/Findley_2009.pdf

Findley, K. A., & Scott, M. S. (2006). The multiple dimensions of tunnel vision in criminal cases. Wisconsin Law Review, 2, 291–397. https://media.law.wisc.edu/m/hyjb3/findley_scott_final.pdf

Garrett, B. L. (2011). Convicting the innocent: Where criminal prosecutions go wrong. Harvard University Press.

Gould, J. B., Carrano, J., Leo, R., & Young, J. (2013). Predicting erroneous convictions: A social science approach to miscarriages of justice (Report No. NCJ 241389). Final report to the National Institute of Justice, grant number 2009-IJ-CX-4110. https://www.ojp.gov/pdffiles1/nij/grants/241389.pdf

Gross, S. R. (2017). What we think, what we know and what we think we know about false conviction. Ohio State Journal of Criminal Law, 14(753), 753–786. https://repository.law.umich.edu/cgi/viewcontent.cgi?article=2882&context=articles

Gross, S. R., Jacoby, K., Matheson, D. J., Montgomery, N., & Patil, S. (2005). Exonerations in the United States 1989 through. Journal of Criminal Law & Criminology, 95(2), 523–560. https://capitalpunishmentincontext.org/files/resources/innocence/exonerationsgrossarticle.pdf

Gross, S. R., & O’Brien, B. (2008). Frequency and predictors of false conviction: Why we know so little, and new data on capital cases. Journal of Empirical Legal Studies, 5(4), 927–962. https://doi.org/10.1111/j.1740-1461.2008.00146.x

Gross, S. R., & Schaffer, M. (2012). Exonerations in the United States, 1989–2012: Report by the National Registry of Exonerations. University of Michigan Law School.

Harmon, T. (2001a). Predictors of miscarriages of justice in capital cases. Justice Quarterly, 18(4), 949–968. https://doi.org/10.1080/07418820100095141

Harmon, T. (2001b). Guilty until proven innocent: An analysis of post-Furman capital errors. Criminal Justice Policy Review, 12(2), 113–139. https://doi.org/10.1177/0887403401012002002

Harmon, T. (2004). Race for your life: An analysis of the role of race in erroneous capital convictions. Criminal Justice Review, 29(1), 76–96. https://doi.org/10.1177/073401680402900

Hasel, L., & Kassin, S. (2009). On the presumption of evidentiary independence: Can confessions corrupt eyewitness identifications? Psychological Science, 20(1), 122–126. https://doi.org/10.1111/j.1467-9280.2008.02262.x

Hicks, W. D., Mullinix, K. J., & Norris, R. J. (2021). The politics of wrongful conviction legislation. State Politics & Policy Quarterly, 21(3), 306–325. https://www.cambridge.org/core/journals/state-politics-and-policy-quarterly/article/abs/politics-of-wrongful-conviction-legislation/4EB3BD2D21529C36EA29B9FF57697106

Janis, I. L. (1982). Groupthink: Psychological studies of policy decisions and fiascoes (2nd ed.). Houghton Mifflin.

Jost, J., & Hunyady, O. (2003). The psychology of system justification and the palliative function of ideology. European Review of Social Psychology, 13(1), 111–153. https://doi.org/10.1080/10463280240000046

Kassin, S., Dror, I., & Kukucka, J. (2013). The forensic confirmation bias: Problems, perspectives, and proposed solutions. Journal of Applied Research in Memory and Cognition, 2(1), 42–52. https://doi.org/10.1016/j.jarmac.2013.01.001

Kent, S. L., & Carmichael, J. T. (2015). Legislative responses to wrongful conviction: Do partisan principals and advocacy efforts influence state-level criminal justice policy? Social Science Research, 52, 147–160. https://doi.org/10.1016/j.ssresearch.2015.01.004

Klayman, J., & Ha, Y.-W. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94(2), 211–228. https://doi.org/10.1037/0033-295X.94.2.211

Leo, R. A. (2005). Rethinking the study of miscarriages of justice: Developing a criminology of wrongful conviction. Journal of Contemporary Criminal Justice, 21(3), 201–223. https://doi.org/10.1177/1043986205277477

Leo, R., & Davis, D. (2010). From false confession to wrongful conviction: Seven psychological processes. Journal of Psychiatry & Law, 38(1–2), 9–56. https://doi.org/10.0000/0000

Lofquist, W. S. (2014). Finding the causes in the contexts: Structural sources of wrongful convictions. In A. D. Redlich, J. R. Acker, R. J. Norris, & C. L. Bonventre (Eds.), Examining wrongful convictions: Stepping back, moving forward (pp. 19–34). Carolina Academic Press.

Morgan, J. S. (2024). Current state of forensic science improvement in the United States: Lessons from wrongful convictions. Forensic Science Review, 36(1), 41–54. http://forensicsciencereview.com/Abstract/36(1)-2%20(web).pdf

National Institute of Justice. (2023). Wrongful convictions: The literature, the issues, and the unheard voices. U.S. Department of Justice. https://www.ojp.gov/pdffiles1/nij/251446.pdf

National Institute of Justice. (2024). Wrongful convictions. https://nij.ojp.gov/topics/justice-system-reform/wrongful-convictions

National Registry of Exonerations. (2012). Gary Dotson – National registry of exonerations.

National Registry of Exonerations. (2023). 2022 Annual Report.

National Registry of Exonerations. (2024). Glossary.

National Registry of Exonerations. (2024). Percent of exonerations by contributing factor.

Neuschatz, J. S., Lawson, D. S., Swanner, J. K., Meissner, C. A., & Neuschatz, J. S. (2008). The effects of accomplice witnesses and jailhouse informants on jury decision making. Law and Human Behavior, 32(2), 137–149. https://doi.org/10.1007/s10979-007-9100-1

Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220. https://doi.org/10.1037/1089-2680.2.2.175

Norris, R. J. (2017). Exonerated: A history of the innocence movement. NYU Press.

O’Brien, B., & Findley, K. (2017). Psychological perspectives: Cognition and decision making. In A. D. Redlich, J. R. Acker, R. J. Norris, & C. L. Bonventre (Eds.), Examining wrongful convictions: Stepping back, moving forward (pp. 35–53). Carolina Academic Press.

Ofshe, R., & Leo, R. (1997). The social psychology of police interrogation: The theory and classification of true and false confessions. Studies in Law Politics and Society, 16(4), 189–254. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1141368

Pickett, J. T. (2019). Public opinion and criminal justice policy: Theory and research. Annual Review of Criminology, 2(1), 405–428. https://doi.org/10.1146/annurev-criminol-011518-024826

Plummer, C. M., & Syed, I. J. (2012). Shifted science and post-conviction relief. Stanford Journal of Civil Rights and Civil Liberties, 8(2), 259–298. https://searchworks.stanford.edu/view/jm472mb8525

President’s Council of Advisors on Science and Technology. (2016). Report to the President: Forensic science in criminal courts, ensuring scientific validity of feature comparison methods. https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/PCAST/pcast_forensic_science_report_final.pdf

Rassin, E. (2020). Context effect and confirmation bias in criminal fact finding. Legal and Criminological Psychology, 25(2), 80–89. https://doi.org/10.1111/lcrp.12172

Rich, A &., & Zhang, S. (2003). Z-DNA: The long road to biological function. Nature Reviews Genetics, 4(7), 566–572. https://doi.org/10.1038/nrg1115

Richardson, L. S. (2017). Systemic triage: Implicit racial bias in the criminal courtroom. Yale Law Journal, 126(3), 862–893. https://www.yalelawjournal.org/article/systemic-triage-implicit-racial-bias-in-the-criminal-courtroom

Roman, J., Walsh, K., Lachman, P., & Yahner, J. (2012). Post Conviction DNA Testing and Wrongful Conviction. Urban Institute Justice Policy Center. National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. Contract No. 2008F 08165. https://www.ojp.gov/pdffiles1/nij/251446.pdf

Rossmo, D. K. (2016). Case rethinking: A protocol for reviewing criminal investigations. Police Practice and Research, 17(3), 212–228. https://doi.org/10.1080/15614263.2014.978320

Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129–138. https://doi.org/10.1037/h0042769

Sohoni, T., Snell, J., & Harden, E. (2021). He was drugged up on something…” Portrayals of drugs and violence on crime scene investigation (CSI) as system justification. Journal of Drug Issues, 51(4), 690–710. https://doi.org/10.1177/00220426211034404

Steffensmeier, D., Painter-Davis, N., & Ulmer, J. (2017). Intersectionality of race, ethnicity, gender, and age on criminal punishment. Sociological Perspectives, 60(4), 810–833. https://doi.org/10.1177/0731121416679371

Steffensmeier, D., Ulmer, J., & Kramer, J. (1998). The interaction of race, gender, and age in criminal sentencing: The punishment cost of being young, black, and male. Criminology, 36(4), 763–798. https://doi.org/10.1111/j.1745-9125.1998.tb01265.x

United States Environmental Protection Agency. (2023). Ecological condition. EPA. [https://www.google.com/search?q=https://www.epa.gov/report-environment/ecological-condition%23:~:text%3DAn%2520%25E2%2580%259Cecological%2520system%25E2%2580%259D%2520(ecosystem,with%2520which%2520the%2520organisms%2520interact](https://www.google.com/search?q=https://www.epa.gov/report-environment/ecological-condition%23:~:text%3DAn%2520%25E2%2580%259Cecological%2520system%25E2%2580%259D%2520(ecosystem,with%2520which%2520the%2520organisms%2520interact)

United States v. Garsson. (1923). 291 F. 646, 649 (S.D.NY).

University of West Florida Online. (2019). The history of DNA: From crime scenes to consumer goods. Science. https://onlinedegrees.uwf.edu/articles/the-history-of-dna/

Vick, K., Cook, K. J., & Rogers, M. (2021). Lethal leverage: False confessions, false pleas, and wrongful homicide convictions in death-eligible cases. Contemporary Justice Review, 24(1), 24–42. https://doi.org/10.1080/10282580.2020.1755845

Walsh, K., Hussemann, J., Flynn, A., Yahner, J., & Golian, L. (2017). Estimating the prevalence of wrongful convictions. Report No. 251115 Final Report to the National Criminal Justice Reference Service, grant number 2013-IJ-CX-0004. https://www.ojp.gov/pdffiles1/nij/grants/251115.pdf

Wason, P. C. (1960). On the failure to eliminate hypotheses in a conceptual task. Quarterly Journal of Experimental Psychology, 12(3), 129–140. https://doi.org/10.0000/0000

Watson, J. D., & Crick, F. H. C. (1953). A structure for deoxyribose nucleic acid. Nature, 171(4356), 737–738. https://doi.org/10.1038/171737a0

Wolf, G. (2003). Friedrich Miescher: The man who discovered DNA. Chemical Heritage, 21(10–11), 37–41. https://doi.org/10.1080/17470216008416717

Zalman, M., Smith, B., & Kiger, A. (2008). Officials’ estimates of the incidence of “actual innocence” convictions. Justice Quarterly, 25(1), 72–100. https://doi.org/10.1080/07418820801954563