Management Review · Third series · November 2026 · No. 107

Decision fatigue: the hungry judges

The parole study everyone quotes, the order of the cases it overlooked, a rational judge in a simulation, three explanations for one curve, how to count your own decisions, and a card for the last hour of the shift.

No.
107
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Sources
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Online since
7 November 2026
Stiven CatalystThird series · November 2026
ManagementReview

Management without theatre.

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Decision fatigue:the hungry judges

The parole study everyone quotes, the order of the cases it overlooked, a rational judge in a simulation, three explanations for one curve, how to count your own decisions, and a card for the last hour of the shift.

No.107

≈65%

of rulings favoured the prisoner at the start of each session; by its end, nearly none. Israel, 1,112 rulings.Danziger et al., 2011

Inside

  1. Cover storyEight judges, two breaksPage 03
  2. What the research saysA rational judge draws the same curvePage 06
  3. Tool of the issueThe last-hour decision cardPage 08

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Management Review · No. 107 · November 2026Role
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No. 107 · Role

In this issue

Managers make their hardest calls late: the last request of the day, the complaint at the end of the night, the approval before handover. A famous study says that tired people then fall back on no. This issue asks how much of that claim survived its critics, and what a manager can still do with what survived.

In 2011 a study of 1,112 parole rulings found favourable decisions falling from about 65% to nearly zero within each session. A letter showed that prisoners without a lawyer usually came last; the authors replied that the pattern held. In 2016 a simulation showed that a rational judge who avoids starting long cases before a break produces much of the drop. Three explanations, one way to count your own decisions, and a card for the last hour close the issue.

  1. 03Cover storyEight judges, two breaks
  2. 04The numbersA yes takes longer
  3. 05The modelThree explanations for one curve
  4. 06What the research saysA rational judge draws the same curve
  5. 07How it is measuredBefore you blame fatigue, count
  6. 08Tool of the issueThe last-hour decision card
  7. 09SourcesSources and method

How to read this issue

Figure

Every figure has its source and year at the foot of its page.

Our reading

Where the editor interprets rather than the research, it says so.

Practice

The steps and the card are proposals to try, not research results.

Management Review · No. 107 · November 2026Role
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Cover story

Eight judges,two breaks

Shai Danziger, Jonathan Levav and Liora Avnaim-Pesso coded 1,112 rulings by eight Israeli judges on two parole boards, over 50 days in ten months. A late-morning snack and lunch cut each day into three sessions. Within each, favourable rulings fell from about 65% to nearly zero, then jumped back after the break.

64.2%of requests were rejected; 48.4% of these rejections were deferrals to a later hearing
22.5years on the bench, the judges' average experience

The drop held after controls for the crime, months served, earlier prison terms, a rehabilitation programme, sex and nationality, and it held for every judge. The authors read it as depletion: after many rulings, a judge falls back on the status quo, which here means no.

Our reading

The surprise was never that judges are human. It was the size: from two in three to almost none, within one session.

Sources: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011; Andreas Glöckner, Judgment and Decision Making 11(6), 2016

Danziger et al. (2011): 78.2% of the requests were for parole, the rest for changed terms. A deferral counts as a rejection. The curve is the paper's Figure 1 and is not redrawn: the data were never released. Noise between judges is in No. 20.

Management Review · No. 107 · November 2026Role
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The numbers

A yes takeslonger

The paper itself held a detail that matters later. Granting a request took longer and needed more words than refusing it. The breaks were set by the judge, at times that varied from day to day.

7.37 : 5.21minutes per case, granted against refused
90 : 47words in the written verdict, granted against refused
  1. Session 1start of the day
  2. Snackstarts 9:49–10:27, after 7.8 cases on average; 38 min
  3. Session 211.4 cases on average
  4. Lunchstarts 12:46–14:10; 57 min on average
  5. Session 3afternoon

Source: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011

Danziger et al. (2011), means over all rulings (89.61 and 47.36 words). The authors took the shorter refusals as a sign that no is the easier choice; Glöckner (2016) used the same two means for his simulation.

Management Review · No. 107 · November 2026Role
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The model

Three explanationsfor one curve

Six months after the study, Keren Weinshall-Margel of the Israeli courts' research division and John Shapard wrote that the order of cases was not random. Within each session, prisoners without a lawyer usually went last; the board also tried to finish one prison's cases before a break.

01

Depletion

Many rulings tire the judge, who falls back on no; a meal restores. Danziger et al.

02

Order

The weaker cases, without counsel, come last in a session. Weinshall-Margel and Shapard

03

Time

Grants take longer, so they are the cases left for after the break. Glöckner

Share of requests granted, by legal counsel, the letter's data

Deferral counted as noDeferrals left outWith counsel35%67%Without, about one case in three15%39%

The authors replied that the drop and the break stayed robust predictors once representation was added, and that lawyers took clients first come, first served, which rules out ordering by prison.

Sources: Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text); Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text); Andreas Glöckner, Judgment and Decision Making 11(6), 2016

Weinshall-Margel & Shapard (2011): the authors' data plus 12 hearing days of their own (227 decisions), same decision rules. The reply (2011) does not say how large the drop remains with counsel controlled, as Glöckner (2016) notes. Cards: the editors' summary.

Management Review · No. 107 · November 2026Role
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What the research says

A rational judgedraws the same curve

In 2016 Andreas Glöckner simulated a judge without any bias: 10,000 cases in random order, 36% deserving a yes, grants taking 7.37 minutes and refusals 5.21 on average, as in the study. The judge only avoids starting a case that would run past the session's time limit.

Share of cases that still fit with 5 minutes left, simulation

0%50%Cases that end in a refusal46%Cases that end in a grant12%

So the last cases of a session are mostly quick refusals, and the long grants open the next one. The rational judge's curve fell from 36% towards zero. Cutting the last 5% of each session, as the study did, made the drop larger; with a slight link between rulings it gave a drop of about 15% even with no foresight.

Our reading

Glöckner does not say the judges were fine. He says the curve does not prove they were not.

Source: Andreas Glöckner, Judgment and Decision Making 11(6), 2016

Glöckner (2016), normal decision times, 60-minute limit. His caveats: the simulated start, about 45%, stays below the observed 65%, and time management explains a drop of only 15% to 45%. He calls the effect overestimated and does not rule it out.

Management Review · No. 107 · November 2026Role
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How it is measured

Before you blamefatigue, count

Glöckner also points to the lab: a registered replication in 23 labs with 2,142 people found a depletion effect of d = 0.04, not different from zero. A manager who wants to know whether late decisions differ has to count them, and the critics show how not to.

  1. Time and place in the queue

    when it was decided, and how many decisions came before it that day

  2. Who set the order

    arrival, urgency, a person; the order is a cause until shown otherwise

  3. Yes, no, and later

    keep deferrals apart; counted as no, 67% for prisoners with counsel became 35%

  4. How long it took

    long cases get pushed to the next slot; that alone bends the curve

  5. All of them

    do not drop the last ones of a session; the simulation shows what that does

Sources: Andreas Glöckner, Judgment and Decision Making 11(6), 2016; Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text)

The fields are the editors' proposal, built on the three papers' points of dispute. The replication (Hagger & Chatzisarantis, 2016) was not read; its result as Glöckner (2016) gives it. Hours awake and real fatigue are in No. 89.

Management Review · No. 107 · November 2026Role
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Tool of the issue

The last-hourdecision card

What survives the critics is modest: a no is often the faster answer, and late in a session the quick answers pile up. For a decision that comes in the last hour and can wait, write down what happens if nobody decides, then hand it over instead of saying no by default.

  1. 01The decision, the timewhat is asked, by whom; how many decisions came before it today

  2. 02If nobody decidesthe default outcome; is it really neutral?

  3. 03Can it wait, can it be undonewhat waiting costs, and until when

  4. 04What a yes would needthe facts or the time missing now

  5. 05Handed over toname, by when; the person asking is told

Sources: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011; Andreas Glöckner, Judgment and Decision Making 11(6), 2016

The card is the editors' proposal, not a tested method. It rests on the study's reading of no as the status quo and on the critics' point that long cases slip to the next slot. Defaults are in No. 93. The essay linked below gives the author's questions on reversibility and waiting.

Management Review · No. 107 · November 2026Sources
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Sources and method

Every figurehas a source.

The figures in this issue come from the sources below. The year shows how recent each one is.

  1. Extraneous factors in judicial decisionsShai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011https://doi.org/10.1073/pnas.1018033108
  2. Overlooked factors in the analysis of parole decisions (letter)Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 · via excerpts of the PubMed Central page, not the full texthttps://doi.org/10.1073/pnas.1110910108
  3. Reply to Weinshall-Margel and Shapard: Extraneous factors in judicial decisions persistShai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(42), 2011 · via excerpts of the PubMed Central page, not the full texthttps://doi.org/10.1073/pnas.1112190108
  4. The irrational hungry judge effect revisited: Simulations reveal that the magnitude of the effect is overestimatedAndreas Glöckner, Judgment and Decision Making 11(6), 2016https://journal.sjdm.org/16/16823/jdm16823.pdf
Editorial method

Each figure was checked for its year, its publisher and what it measures, in the full text where it could be opened. A source read only in a summary, an abstract or excerpts is marked “via”. A figure not confirmed in what was read is marked so on its page, or left out. The editor's interpretation is marked “Our reading”.

ManagementReview

Management without theatre.

Every issue, one management question, checked against the best research.

All issues

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Management Review · No. 107 · November 2026 · Stiven Catalyst
Edited by Stiven Janaqi, who answers for it; “the editors” in this publication means him. Its texts, translations, layout and the checking of figures against their sources are done in working sessions with Claude, an AI model by Anthropic.
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Management Review · No. 107

The figures of the issue

The charts of the printed pages, with their sources.

The modelShare of requests granted, by legal counsel, the letter's data
Deferral counted as noDeferrals left outWith counsel35%67%Without, about one case in three15%39%
Deferral counted as noDeferrals left outWith counsel35%67%Without, about one case in three15%39%

Weinshall-Margel & Shapard (2011): the authors' data plus 12 hearing days of their own (227 decisions), same decision rules. The reply (2011) does not say how large the drop remains with counsel controlled, as Glöckner (2016) notes. Cards: the editors' summary.

Source: Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text)

What the research saysShare of cases that still fit with 5 minutes left, simulation
0%50%Cases that end in a refusal46%Cases that end in a grant12%
0%50%Cases that end in a refusal46%Cases that end in a grant12%

Glöckner (2016), normal decision times, 60-minute limit. His caveats: the simulated start, about 45%, stays below the observed 65%, and time management explains a drop of only 15% to 45%. He calls the effect overestimated and does not rule it out.

Source: Andreas Glöckner, Judgment and Decision Making 11(6), 2016

The whole text Read the issue as text For reading on a small screen, searching or a screen reader. The same words, without the page design.

In this issue

Managers make their hardest calls late: the last request of the day, the complaint at the end of the night, the approval before handover. A famous study says that tired people then fall back on no. This issue asks how much of that claim survived its critics, and what a manager can still do with what survived.

In 2011 a study of 1,112 parole rulings found favourable decisions falling from about 65% to nearly zero within each session. A letter showed that prisoners without a lawyer usually came last; the authors replied that the pattern held. In 2016 a simulation showed that a rational judge who avoids starting long cases before a break produces much of the drop. Three explanations, one way to count your own decisions, and a card for the last hour close the issue.

Stiven Janaqi, Editor

Cover story

Eight judges, two breaks

Shai Danziger, Jonathan Levav and Liora Avnaim-Pesso coded 1,112 rulings by eight Israeli judges on two parole boards, over 50 days in ten months. A late-morning snack and lunch cut each day into three sessions. Within each, favourable rulings fell from about 65% to nearly zero, then jumped back after the break.

  • 64.2% of requests were rejected; 48.4% of these rejections were deferrals to a later hearing
  • 22.5 years on the bench, the judges' average experience

The drop held after controls for the crime, months served, earlier prison terms, a rehabilitation programme, sex and nationality, and it held for every judge. The authors read it as depletion: after many rulings, a judge falls back on the status quo, which here means no.

Our reading

The surprise was never that judges are human. It was the size: from two in three to almost none, within one session.

Danziger et al. (2011): 78.2% of the requests were for parole, the rest for changed terms. A deferral counts as a rejection. The curve is the paper's Figure 1 and is not redrawn: the data were never released. Noise between judges is in No. 20.

Sources: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011; Andreas Glöckner, Judgment and Decision Making 11(6), 2016

The numbers

A yes takes longer

The paper itself held a detail that matters later. Granting a request took longer and needed more words than refusing it. The breaks were set by the judge, at times that varied from day to day.

  • 7.37 : 5.21 minutes per case, granted against refused
  • 90 : 47 words in the written verdict, granted against refused
  • Session 1 start of the day
  • Snack starts 9:49–10:27, after 7.8 cases on average; 38 min
  • Session 2 11.4 cases on average
  • Lunch starts 12:46–14:10; 57 min on average
  • Session 3 afternoon

Danziger et al. (2011), means over all rulings (89.61 and 47.36 words). The authors took the shorter refusals as a sign that no is the easier choice; Glöckner (2016) used the same two means for his simulation.

Source: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011

The model

Three explanations for one curve

Six months after the study, Keren Weinshall-Margel of the Israeli courts' research division and John Shapard wrote that the order of cases was not random. Within each session, prisoners without a lawyer usually went last; the board also tried to finish one prison's cases before a break.

  • Depletion. Many rulings tire the judge, who falls back on no; a meal restores. Danziger et al.
  • Order. The weaker cases, without counsel, come last in a session. Weinshall-Margel and Shapard
  • Time. Grants take longer, so they are the cases left for after the break. Glöckner

Share of requests granted, by legal counsel, the letter's data: With counsel: Deferral counted as no 35%, Deferrals left out 67%; Without, about one case in three: Deferral counted as no 15%, Deferrals left out 39%.

The authors replied that the drop and the break stayed robust predictors once representation was added, and that lawyers took clients first come, first served, which rules out ordering by prison.

Weinshall-Margel & Shapard (2011): the authors' data plus 12 hearing days of their own (227 decisions), same decision rules. The reply (2011) does not say how large the drop remains with counsel controlled, as Glöckner (2016) notes. Cards: the editors' summary.

Sources: Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text); Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text); Andreas Glöckner, Judgment and Decision Making 11(6), 2016

What the research says

A rational judge draws the same curve

In 2016 Andreas Glöckner simulated a judge without any bias: 10,000 cases in random order, 36% deserving a yes, grants taking 7.37 minutes and refusals 5.21 on average, as in the study. The judge only avoids starting a case that would run past the session's time limit.

Share of cases that still fit with 5 minutes left, simulation: Cases that end in a refusal 46%, Cases that end in a grant 12%.

So the last cases of a session are mostly quick refusals, and the long grants open the next one. The rational judge's curve fell from 36% towards zero. Cutting the last 5% of each session, as the study did, made the drop larger; with a slight link between rulings it gave a drop of about 15% even with no foresight.

Our reading

Glöckner does not say the judges were fine. He says the curve does not prove they were not.

Glöckner (2016), normal decision times, 60-minute limit. His caveats: the simulated start, about 45%, stays below the observed 65%, and time management explains a drop of only 15% to 45%. He calls the effect overestimated and does not rule it out.

Source: Andreas Glöckner, Judgment and Decision Making 11(6), 2016

How it is measured

Before you blame fatigue, count

Glöckner also points to the lab: a registered replication in 23 labs with 2,142 people found a depletion effect of d = 0.04, not different from zero. A manager who wants to know whether late decisions differ has to count them, and the critics show how not to.

  • Time and place in the queue. when it was decided, and how many decisions came before it that day
  • Who set the order. arrival, urgency, a person; the order is a cause until shown otherwise
  • Yes, no, and later. keep deferrals apart; counted as no, 67% for prisoners with counsel became 35%
  • How long it took. long cases get pushed to the next slot; that alone bends the curve
  • All of them. do not drop the last ones of a session; the simulation shows what that does

The fields are the editors' proposal, built on the three papers' points of dispute. The replication (Hagger & Chatzisarantis, 2016) was not read; its result as Glöckner (2016) gives it. Hours awake and real fatigue are in No. 89.

Sources: Andreas Glöckner, Judgment and Decision Making 11(6), 2016; Keren Weinshall-Margel & John Shapard, PNAS 108(42), 2011 (via excerpts of the PubMed Central page, not the full text)

Tool of the issue

The last-hour decision card

What survives the critics is modest: a no is often the faster answer, and late in a session the quick answers pile up. For a decision that comes in the last hour and can wait, write down what happens if nobody decides, then hand it over instead of saying no by default.

  1. The decision, the time what is asked, by whom; how many decisions came before it today
  2. If nobody decides the default outcome; is it really neutral?
  3. Can it wait, can it be undone what waiting costs, and until when
  4. What a yes would need the facts or the time missing now
  5. Handed over to name, by when; the person asking is told

The card is the editors' proposal, not a tested method. It rests on the study's reading of no as the status quo and on the critics' point that long cases slip to the next slot. Defaults are in No. 93. The essay linked below gives the author's questions on reversibility and waiting.

Sources: Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), 2011; Andreas Glöckner, Judgment and Decision Making 11(6), 2016

More in the essay: When to solve it yourself and when to take it higher

Open the tool: Shift Handover

Sources and method

Every figure has a source.

The figures in this issue come from the sources below. The year shows how recent each one is.

  • Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(17), “Extraneous factors in judicial decisions”, 2011. https://doi.org/10.1073/pnas.1018033108
  • Keren Weinshall-Margel & John Shapard, PNAS 108(42), “Overlooked factors in the analysis of parole decisions (letter)”, 2011 (via excerpts of the PubMed Central page, not the full text). https://doi.org/10.1073/pnas.1110910108
  • Shai Danziger, Jonathan Levav & Liora Avnaim-Pesso, PNAS 108(42), “Reply to Weinshall-Margel and Shapard: Extraneous factors in judicial decisions persist”, 2011 (via excerpts of the PubMed Central page, not the full text). https://doi.org/10.1073/pnas.1112190108
  • Andreas Glöckner, Judgment and Decision Making 11(6), “The irrational hungry judge effect revisited: Simulations reveal that the magnitude of the effect is overestimated”, 2016. https://journal.sjdm.org/16/16823/jdm16823.pdf

Editorial method

Each figure was checked for its year, its publisher and what it measures, in the full text where it could be opened. A source read only in a summary, an abstract or excerpts is marked “via”. A figure not confirmed in what was read is marked so on its page, or left out. The editor's interpretation is marked “Our reading”.

Edited by Stiven Janaqi, who answers for it; “the editors” in this publication means him. Its texts, translations, layout and the checking of figures against their sources are done in working sessions with Claude, an AI model by Anthropic. How this is made

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