Prosecuting from the bench? Examining sources of pro‐prosecution bias in judges
Open accessAbstract
Although judges may be well intended when taking an oath to be impartial when they reach the bench, psychological and legal literature suggests that their legal approaches, behaviour, and decision‐making processes are subconsciously impacted by biases stemming from and influenced by their attitudes, ideology, backgrounds, and previous experiences. Drawing from prior models of sources of bias in legal contexts and existing literature on judges, this paper discusses and models potential sources of pro‐prosecution bias in judges with prosecutorial backgrounds. These include (1) professional and self‐selection into the judiciary; (2) prosecutorial socialization and attitudes that can shape a prosecutorial mindset; and (3) the effects of common unconscious biases, confirmation bias and role induced bias, that may shape judicial behaviour through formed beliefs and approaches stemming from the prosecutorial mindset and selection into the judiciary. As the vast majority of judges are former prosecutors in the U.S. as well as in many other countries, this paper considers possible ways to deal with pro‐prosecution bias and the potential importance of diversifying judges' professional backgrounds.
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Bias plagues the justice and legal systems from initial police officers arriving at a crime scene, through lawyers and evidence in court, to jurors' decisions and judges' sentencing, and even later at parole boards.
“Bias plagues the justice and legal systems from the initial police officers arriving at a crime scene, through the lawyers and the evidence presented in court, all the way to the jurors’ decision and the judges’ sentencing, and even later at parole boards”
From Biased and biasing: the hidden bias cascade and bias snowball effects (2025) · cites this paper as Berryessa et al., 2023
The Introduction discusses possible pro-prosecution bias in judges’ evidentiary rulings and sentencing, and the section on common unconscious biases gives examples involving evidence presented at trial. The paper does not establish the claim’s broader account of bias from police arriving at a crime scene through jurors’ decisions and parole boards. (LLM, conf=0.87)
Experimental — accuracy not yet measuredJudges have biases that may have been shaped by their training and education as prosecutors.
“For example, it has been shown that judges have biases that may have been shaped by their training and education as prosecutors (Berryessa et al., 2023; see also Vidmar, 2011).”
From Biased and biasing: the hidden bias cascade and bias snowball effects (2025) · cites this paper as Berryessa et al., 2023
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- Authors
- Berryessa, C. M., Dror, I. E., & McCormack, C. J. B.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University College London (GB)
- Michigan State Police (US)
- Corresponding author
- Berryessa, Colleen M.
- Venue
- Legal and Criminological Psychology
- Publisher
- Wiley
- Published
- 2022-09-12
- Volume
- 28
- Issue
- 1
- Pages
- 1-14
- ISSN
- 1355-3259 (ISSN-L)
- 2044-8333
- OpenAlex
- W4296012784
- Cited by
- 28
- References
- 97
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 5 · 2023: 5 · 2022: 5
- FWCI
- 38.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Legal and Criminological Psychology (publishedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Law › Judicial and Constitutional Studies
- Social Sciences › Law › Legal processes and jurisprudence
- Social Sciences › Law › Jury Decision Making Processes
- Keywords
- judicial bias, former prosecutors, confirmation bias, judicial appointments, judicial impartiality, judicial decision-making, judicial diversity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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