Evidence,Rigor,and the Intolerance of Bad Science: A Reply to Beyer's Mischaracterization of False Confession Research

False confessions represent one of the most serious threats to the integrity of the criminal justice system, with devastating consequences not only for the wrongfully convicted but also for public safety and trust in law enforcement. Decades of empirical research have been instrumental in uncovering the conditions under which false confessions occur and driving meaningful reforms in investigative practices. Against this backdrop, Bradford Beyer's Rethinking the False Confession Phenomenon: A Law Enforcement Perspective (2023) presents itself as a counterpoint to the established body of false confession literature. However, rather than advancing the scholarly conversation with substantive critique, Beyer's work relies heavily on selective interpretation of data, anecdotal reasoning, and ad hominem attacks that undermine its academic value. His subsequent rebuttal (Beyer, 2025) to my published critique (Sorochinski, 2024) does not clarify these issues but instead amplifies them—rejecting peer-reviewed research, misrepresenting methodological standards, and questioning the motivations of scholars in the field.

The opportunity to engage in scholarly dialogue on such a critical and complex issue is deeply valued, and I am especially grateful to the editor of Criminal Justice Review for fostering this open exchange and allowing this debate to unfold. False confessions lie at the heart of efforts to address wrongful convictions, and while disagreements in this contentious area are inevitable, discussions like these serve as catalysts for progress. They challenge assumptions, refine methodologies, and encourage greater rigor in both academic and practical approaches to justice reform.

This response addresses the logical inconsistencies, misrepresentations, and epistemological flaws that characterize Beyer's arguments. While few readers may have encountered Beyer's book, his rebuttal alone provides sufficient insight into the reasoning and rhetoric that warrant concern. My goal here is not to silence dissent but to defend scientific rigor, clarify public misconceptions, and reinforce the value of evidence-based approaches to interrogation reform. Critiques of investigative practices are not personal attacks on law enforcement. They are part of an ongoing effort to reduce wrongful convictions and improve investigative accuracy. This exchange offers a critical opportunity to bridge academic research and law enforcement practice—toward the shared goal of enhancing the fairness and reliability of our justice system.

Contradictions and Misrepresentations: Addressing Bias and Academic Integrity

Bradford Beyer's rebuttal raises several issues that require clarification, including accusations of emotional advocacy, claims of bias, and mischaracterizations of academic research. These assertions distort the substance of my critique while exposing contradictions in Beyer's portrayal of himself as both an outsider to and a corrective force within academic scholarship.

While I appreciate his interest in my work—evidenced by his apparent deep dive into my digital presence—his attempt to frame me as a biased advocate conveniently ignores the core argument of my critique: it is grounded in evidence, methodological rigor, and a long-standing commitment to scholarly inquiry. Passion for justice and reform does not compromise objectivity; it reflects an ethical imperative to address systemic failures through evidence-based solutions.

Had Beyer's research into my background been as thorough as he suggests, he might have also discovered that my work extends far beyond wrongful convictions. I have led and collaborated on numerous research initiatives—both domestically and internationally—with law enforcement agencies, particularly in the areas of violent serial crime and technology-facilitated offenses. My record includes active partnerships aimed at enhancing investigative strategies, not undermining them. The fact that he overlooked this reveals a selective reading of my academic contributions, tailored to fit his narrative of “bias.”

Beyer further attempts to discredit me by suggesting I personally profit from defending the legitimacy of false confession research. This is demonstrably false. I have never served as an expert witness in court, nor have I received financial or professional benefits from wrongful conviction advocacy organizations. My scholarship is driven by the same principle that underpins all applied research: the pursuit of better outcomes through empirical inquiry.

Finally, Beyer's misuse of the term bias underscores the weakness of his argument. According to the Oxford English Dictionary, bias is defined as “prejudice in favor of or against one thing, person, or group compared with another, usually in a way considered to be unfair.” By this definition, labeling a commitment to justice and accuracy as “bias” is not only contradictory—it is absurd. Applied researchers across fields—from medicine to education to criminal justice—advocate for systemic improvements because evidence compels them to do so. Does Beyer believe all such advocacy is inherently biased? I doubt any serious scholar would agree.

The “Lucrative Expert Testimony” Argument: An Exercise in Hypocrisy

Beyer's accusation that academics exploit their work for financial gain through “lucrative expert testimony” is not only unsubstantiated—it is deeply hypocritical. In the spirit of Beyer's “investigative Googling,” I too browsed through his webpage to learn about his professional activities. While criticizing scholars for supposed profit motives, Beyer himself actively markets his services as a private consultant. His website, Federal Polygraph Investigations (FPI, n.d.), advertises his expertise on false confessions and promotes his self-published book, Re-thinking the False Confession Phenomenon. He touts FBI credentials, polygraph training, and decades of experience while offering services to attorneys and law enforcement. The financial incentive is not concealed—it is central to his business model.

In a particularly glaring misuse of terminology, Beyer accuses me of having a “conflict of interest” due to my “worldview and advocacy.” This reflects either a misunderstanding or a deliberate misrepresentation of the concept. According to accepted definitions (e.g., AAMC, 2003; IoM, 2002), a conflict of interest occurs when secondary interests, such as financial or personal gain, compromise or appear to compromise professional judgment. Advocacy for evidence-based reform—unconnected to personal financial gain—is not a conflict of interest. By contrast, Beyer's own commercial endeavors fit much more squarely into this category.

The irony runs even deeper. The very academics Beyer accuses of exaggerating the false confession phenomenon to sustain an “expert testimony industry” are, in fact, advocating for systemic reforms designed to reduce—if not eliminate—the occurrence of false confessions altogether. Their work promotes collaboration with law enforcement and supports the adoption of less coercive interrogation protocols that would ultimately decrease the need for expert testimony in these cases (Kassin et al., 2025). For example, in my critique (Sorochinski, 2024), I discuss in detail the PEACE method as an alternative to the Reid technique—yet Beyer, unsurprisingly, ignores this point completely in his rebuttal. If academics were truly motivated by financial self-interest, advocating for reforms that would render their own testimony unnecessary would be a remarkably shortsighted and self-defeating strategy.

In the end, Beyer's critique reveals more about his own motivations than those he attacks. His rejection of peer-reviewed scholarship and simultaneous promotion of his own unvetted work, combined with his public-facing consultancy, underscores the performative nature of his “pushback.” It is not a contribution to science—it is branding.

Misusing Terminology, Misunderstanding Science: Beyer's Flawed Attacks on Peer Review

Beyer accuses me of relying on the “Appeal to Authority” and “Bandwagon” fallacies, suggesting I trust expert conclusions and peer-reviewed research merely because of who says them or how many agree. These accusations reveal a fundamental misunderstanding of how science works and of what peer review actually is.

Scientific consensus is not based on credentials or popularity—it is built on evidence. It emerges from repeated testing, empirical verification, and transparency in method and analysis. Peer review is not about agreement; it is about scrutiny. When multiple researchers converge on a conclusion, it's not because they are blindly following one another—it's because the evidence has held up under diverse, independent examination. Beyer's claim that I “confuse peer agreement with peer review” is ironic, because it is he who conflates the two. Peer review is not a popularity contest. It is a gatekeeping mechanism where anonymous experts evaluate whether research meets the standards of methodological rigor, evidentiary support, and logical coherence. If many peer-reviewed studies align, it is because the data support a shared conclusion—not because the authors are parroting each other.

Beyer also attempts to categorize peer review under the “tenacity fallacy,” likening it to folklore or dogma. This analogy collapses under the weight of basic epistemology. Peer-reviewed science is designed to be challenged, revised, and improved upon. Its conclusions are provisional and always subject to revision in light of better evidence. Unlike the anecdotal, non-replicable claims on which Beyer relies, peer-reviewed work must be transparent and reproducible. When errors or biases are found, they are corrected—something that cannot be said of folklore, ideological dogma, or, for that matter, Beyer's own work. The peer-review process exists precisely to improve the quality of research before publication, ensuring that conclusions are based on sound evidence rather than unverified claims.

Bornmann (2011) reviews extensive literature showing that peer review improves scientific reliability by increasing clarity, identifying errors, and ensuring replicability. Goodman et al. (1994) and Pierie et al. (1996) similarly demonstrate that peer review strengthens methodological soundness and enhances interpretive precision. And as Meadows et al. (2020) note, trust in peer review is not merely procedural but ethical. It ensures that the research enterprise is accountable not just to scholars, but to the public, policy-makers, and institutions that rely on credible knowledge. Ultimately, peer review is not the enemy of innovation, as Beyer suggests—it is the foundation of credible research. And while he works to discredit this process, his own handling of data reveals just how urgently rigorous standards are needed.

Misuse of Data and Statistics in His “Reevaluation of Innocence Project Data”

Flawed Methodology and Contradictory Reasoning: The Limits of Beyer's Study

Beyer insists that my critique mischaracterized his study, claiming that I falsely summarized his conclusion as overly reductive. However, in his rebuttal, he reiterates that, based on his interviews with 23 polygraphers, he believes false confessions “may not be as frequently occurring as some researchers claim.” While he acknowledges that false confessions do occur—a point on which we agree—his argument that these do not occur ‘routinely’ hinges on casting doubt on existing data while presenting no substantive evidence to support it.

Beyer's study consisted of “23 one-hour qualitative interviews with state and federal law enforcement officers who specialize in criminal interrogation.” He uses this sample—comprised exclusively of self-selected polygraphers—as the foundation for his claim that false confessions are extremely rare. However, a sample of 23 individuals from a single profession does not provide a statistically meaningful basis from which to generalize about the prevalence of false confessions across the entire criminal justice system. Even if every participant had independently arrived at the same conclusion (which Beyer does not establish), this would still be anecdotal evidence rather than empirical data.

Beyond the sample size, the study's design is fundamentally flawed. Beyer argues that his research provides “real-world insights” that academic studies lack. However, the very nature of self-reported data in this context introduces significant biases. As Kassin et al. (2025) and other researchers have shown, law enforcement officers—including polygraphers—often receive little to no feedback on whether a confession is true or false. Without objective case review mechanisms, their self-reports are inherently limited by the scope of their own experiences and potential biases in how they interpret confessions. Beyer himself inadvertently acknowledges this issue, stating that “it is possible that some law enforcement officers may have elicited false confessions without realizing it.” This concession directly undermines his own argument—if polygraphers might be unaware of false confessions they’ve elicited, then their lack of reported instances cannot be taken as evidence that false confessions are indeed exceptionally rare.

Moreover, Beyer attempts to justify the reliability of his study by comparing it to survey-based research conducted by Kassin et al. (2007), arguing that both studies rely on self-reported data and thus share similar limitations. However, there is a critical distinction: Kassin's study surveyed over 600 law enforcement officers across multiple jurisdictions, whereas Beyer's study relied on 23 hand-picked interviewees. A single, homogenous, small-scale sample of professionals who have a vested interest in denying the existence of false confessions does not carry the same weight as a large-scale, methodologically rigorous study that draws from diverse sources.

Further, Beyer's appeal to practitioner expertise as a counterpoint to academic research is inherently flawed. He criticizes false confession studies for relying on “artificial and unrealistic research designs” and dismisses experimental findings as lacking ecological validity. However, his own study falls into an even greater trap: relying solely on subjective recollections from a highly specific subgroup within law enforcement, without any external validation or systematic data collection.

In his rebuttal, Beyer claims that “Sorochinski relies on an outlandish summation of my position that is both erroneous and petulant.” However, the supposed “outlandish summation” is simply a distilled version of the argument Beyer himself makes—one that he immediately proceeds to reinforce. If his intention was to argue that his study merely contributes to the conversation rather than providing definitive conclusions, he fails to convey that distinction. Instead, he presents his limited findings as a challenge to decades of peer-reviewed research, while simultaneously accusing scholars of ignoring alternative perspectives.

In reality, and this is a very important point to underscore, no serious researcher in this field ignores practitioner perspectives. The difference is that academic studies validate these perspectives with rigorous methodologies, cross-jurisdictional analyses, and systematic data collection. Beyer's study does none of these things. Instead, he relies on a small, non-representative group of practitioners with an inherent incentive to deny the problem, and then presents their opinions as evidence against well-established empirical findings. If Beyer truly wishes to engage in a meaningful debate about false confessions, he must hold his own work to the same standards of empirical rigor that he demands of others. Until then, his reliance on anecdotal evidence and selective argumentation does little more than reinforce the very biases he claims to critique.

Misrepresenting Research: Beyer's Misguided Critique of Laboratory Studies

In his book as in his rebuttal, Beyer repeatedly dismisses laboratory-based false confession research as “artificial and unrealistic,” arguing that academic studies fail to capture the realities of real-world interrogations. He suggests that because experimental studies are conducted in controlled environments, their findings cannot be generalized to actual police investigations. However, this critique is both misleading and incomplete, as it ignores the wealth of field studies that confirm the same findings as laboratory research (see Meisner et al.'s 2014 meta-analysis comparing results from both).

Additionally, Beyer mischaracterizes (or misunderstands?) the purpose of laboratory research. He argues that because lab-based studies involve participants who face no real consequences, their behavior cannot be compared to actual suspects in police custody. However, he ignores the fact that experimental research is designed to isolate specific psychological mechanisms that contribute to false confessions. While no single study can perfectly replicate the experience of a police interrogation, lab studies allow researchers to systematically examine factors such as compliance, suggestibility, and the role of misinformation—findings that have been repeatedly validated in real-world settings (e.g., Meissner et al., 2014; 2017; 2023; Russano et al., 2024). Beyer's rejection of experimental research extends beyond reasonable skepticism—it reflects a wholesale dismissal of any study that contradicts his personal beliefs. In his book, he outright states:

I disagree that false confessions happen routinely. I disagree that law enforcement is inept at identifying deception. I disagree that routine interrogative practices cause false confessions for the normal functioning adult subject. I disagree that the conclusion drawn from laboratory experiments with college students can be applied to the real world of law enforcement. I disagree that the Reid Technique causes false confessions, and I disagree that academic researchers have remained unbiased in their approach to the false confession phenomenon or in their perception of law enforcement interrogators. (p. 387–388)

This isn’t a critique of specific methodologies or data—it is an outright refusal to engage with empirical findings. Research on false confessions is not limited to lab studies; it includes real-world case analyses, law enforcement training evaluations, and controlled field studies that have repeatedly found the same conclusions (Meissner et al., 2017; Russano et al., 2024). Beyer's issue is not with the methodology—it is with the results.

Defending the Indefensible: Beyer's Unwavering Support for a Flawed Technique

In yet another instance of claiming misrepresentation, Beyer disputes my summary of his defense of the Reid Technique—only to then reaffirm that summary in his rebuttal by launching into an extensive defense of the very method in question. His insistence that the Reid Technique has been “mischaracterized by academics” reflects his broader refusal to engage with overwhelming empirical evidence. This raises a fundamental question: Why cling so doggedly to a technique repeatedly linked to false confessions, especially when more reliable, evidence-based alternatives exist?

Beyer argues that Reid is unfairly criticized and remains an effective tool for obtaining confessions. He claims academic critiques are “incomplete” and fail to reflect real-world application. But let us examine that “real-world application.” Notably—and this remarkable fact is routinely omitted by proponents—the very case that launched John Reid's career and the multimillion-dollar enterprise built on his technique was itself a textbook case of a wrongful conviction based on a false confession. In 1955, Darrel Parker, after discovering his wife's body, was interrogated by Reid for nine hours. He eventually confessed—then immediately recanted. That coerced statement, unsupported by any physical evidence, became the basis for his conviction. The actual perpetrator remained free for nearly two decades, committing additional murders before being executed—at which point he confessed to at least 13 additional homicides, including that of Nancy Parker, in detail consistent with the crime scene (Kozinski, 2017; National Registry of Exonerations, n.d.). Far from a historical footnote, the Parker case is a stark example of how coercive tactics derail investigations and leave real perpetrators at large. And yet, this foundational case—the very one that established John Reid's reputation and launched a widely commercialized technique—is glaringly absent from the celebratory narrative presented by defenders like Beyer. Perhaps this is the kind of “old case” Beyer would prefer the field move on from – not because it lacks relevance, but because it so powerfully undermines the credibility of the very method he defends. Even more troubling is Beyer's uncritical reliance on Inbau et al., whose foundational text on the Reid Technique remains unsupported by empirical science. Developed not through data but through intuition and anecdote (and as exemplified above, a case of proven false confession), the Reid Technique has never undergone rigorous, independent validation. Reid & Associates have consistently resisted transparency—declining to share training protocols or collaborate with researchers—effectively shielding the method from scientific scrutiny. This lack of openness is not a trivial omission; it reflects a deeper unwillingness to subject the technique to the kind of evidence-based evaluation that is standard in modern forensic practice. Meanwhile, the problems with Reid are not speculative or a matter of academic opinion—they are empirically demonstrated. Its core tactics—maximization, minimization, deception, and psychological pressure—have been repeatedly shown to increase the risk of false confessions (Garrett, 2010; Kassin et al., 2010). If these concerns were simply distortions by critics, they would not be so consistently linked to wrongful convictions across decades of case law and research.

Even assuming, arguendo, that Reid is not inherently flawed, the more pressing question remains: Why defend it so vigorously when better alternatives exist? The decline in the Reid Technique's credibility has been acknowledged within the law enforcement community itself. As Kozinski (2017) notes, for example, Wicklander-Zulawski & Associates—one of the largest police training organizations in the United States—publicly announced it would no longer teach the Reid Technique due to its association with false confessions and risk of wrongful convictions. Their shift to non-confrontational, science-based alternatives reflects a broader move away from accusatory methods like Reid. Interviewing frameworks such as PEACE—adopted in the United Kingdom, Canada, and elsewhere—emphasize rapport-building, open-ended questioning, and strategic evidence disclosure. These science-based approaches reduce the risk of false confessions while remaining effective at eliciting accurate information (Bull, 2024; Kassin et al., 2025). Recent field research further reinforces this shift. Russano et al. (2024) found that officers who received training in science-based interviewing techniques reduced their use of confrontational strategies and increased the use of rapport-based tactics—resulting in greater cooperation and more accurate information from suspects. Likewise, Meissner et al. (2017) highlight findings from the High-Value Detainee Interrogation Group (HIG) showing that non-coercive, information-gathering methods outperform accusatory tactics like Reid in both accuracy and effectiveness. If Beyer were genuinely committed to improving interrogation practices, he would acknowledge these developments rather than dismiss them.

The contrast between Beyer and practitioners like Steven Kleinman is telling. Unlike Beyer, Kleinman has worked closely with scientists to advance research-based reforms in investigative interviewing (Kleinman, 2021), proving that law enforcement and academia can collaborate productively—when there's a willingness to engage with evidence. Beyer, by contrast, defends a method that science has long surpassed. His refusal to acknowledge viable alternatives or empirical shortcomings reflects not a commitment to reform, but a resistance to change. Meanwhile, scholars and practitioners continue to improve the field—not out of ideology, but from a shared goal of increasing accuracy and preventing wrongful convictions. The question is no longer whether better alternatives exist—they do. The question is why some remain so determined to defend a technique that has already failed so many.

Accepting Error or Striving for Better? Beyer's Resistance to Reform

Beyer argues that expecting law enforcement to improve upon a potential 5% (or even 1%) false confession rate is unreasonable, dismissing concerns over wrongful convictions as an unavoidable consequence of the system. This stance is as ethically troubling as it is logically flawed. The argument rests on the false premise that this error rate is an acceptable tradeoff—a claim that collapses when considering the devastating real-world consequences of wrongful convictions and the fact (discussed above) that better interrogation techniques exist that can reduce, if not eliminate, this problem.

Conclusion: Bad Science Deserves No Sympathy—And Neither Does Beyer's Rebuttal

Beyer's repeated characterization of my critique as “hyperemotional” is not just inaccurate—it is a rhetorical strategy aimed at sidestepping the actual substance of my arguments. Rather than engaging directly with the methodological critiques I raised, he shifts the focus to tone, attempting to undermine the credibility of the critique without addressing its content. This approach is not uncommon in academic debate when the evidence offered in response is insufficient; when one cannot refute the message, one attacks the manner in which it is delivered. However, passion for a topic—especially one with life-and-death consequences—is not the same as emotional excess, nor does it invalidate the rigor of an argument rooted in empirical evidence.

To be clear: I do care deeply about the devastating consequences of coerced false confessions—as any rational person should. It is not emotionally excessive to be outraged that innocent people like Jeffrey Deskovic and many others have spent years in prison because investigators failed to do their jobs properly, choosing to extract a confession rather than pursue the truth. And it is certainly not irrational to believe that we should do everything possible to minimize the likelihood of such injustices in the future, rather than denying their existence and insisting that nothing needs to change. What is irrational, however, is pretending that law enforcement should not and need not learn from scientific research. Beyer paints my critique (along with the entire field of false confession research) as an attack on law enforcement, when in reality, applied research exists precisely to improve and refine professional practice. The premise of empirical research in forensic psychology, criminal justice, and interrogation science is to develop evidence-based methods that enhance investigative accuracy and reduce harm. It is particularly presumptuous of Beyer to quote Peter Neufeld and Chris Fabricant, two of the most prominent voices in the fight against junk forensic science, in an attempt to justify his own work as some kind of necessary “pushback” against false confession research. Neufeld and Fabricant were speaking about the exact kind of unscientific, unreliable forensic methods—such as bite mark analysis and unvalidated forensic testimony—that have directly contributed to wrongful convictions. Their statements were never meant to suggest that decades of empirical, peer-reviewed psychological research on false confessions should be “pushed back against” with unqualified “practitioner” opinions. In fact, their entire careers have been dedicated to replacing bad science with good science in the courtroom—not giving a platform to unsupported, methodologically weak counterclaims that seek to discredit well-established research.

Contrary to Beyer's framing, the relationship between academic researchers and practitioners need not be adversarial. My own work includes active collaborations with law enforcement agencies in the United States and internationally, aimed at improving investigative practices in areas such as serial violent crime and technology-facilitated offenses. These projects are built on mutual respect and the shared goal of promoting more reliable and ethical investigative outcomes. As Kleinman (2021) and others have emphasized, the future of interrogation reform lies in precisely this kind of collaboration—where scientific rigor meets professional experience to produce practices that serve both justice and public safety.

At the end of the day, this is not a debate about the tolerance of dissent; it is about the tolerance of flawed reasoning and unsound science. Beyer does not offer a scientifically grounded alternative perspective—he offers a defensive narrative that resists correction, rejects peer-reviewed evidence, and misrepresents the research it seeks to challenge. Disagreement is healthy in scientific discourse, but it must be grounded in methodological integrity and a willingness to engage with evidence. When a rebuttal avoids those standards, it is not dissent—it is deflection. And in matters as consequential as wrongful convictions, we cannot afford to accept that.