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Decision Making, Noticing, andDecision Making, Noticing, and
the Use of Behavioral Insightsthe Use of Behavioral Insights
Max H. BazermanMax H. Bazerman
Harvard UniversityHarvard University
Decision BiasesDecision Biases
Daniel Kahneman’s Thinking, Fast and SlowDaniel Kahneman’s Thinking, Fast and Slow
(over a million copies sold in the UK alone)(over a million copies sold in the UK alone)
Asian Disease ProblemAsian Disease Problem
(from Tversky & Kahneman, 1981)(from Tversky & Kahneman, 1981)
PROBLEM 1 (N=152):PROBLEM 1 (N=152):
Imagine that the US is preparing for the outbreak of an unusual AsianImagine that the US is preparing for the outbreak of an unusual Asian
disease, which is expected to kill 600 people. Two alternative programsdisease, which is expected to kill 600 people. Two alternative programs
to combat the disease have been proposed. Assume that the exactto combat the disease have been proposed. Assume that the exact
scientific estimates of the consequences of the programs are as follows.scientific estimates of the consequences of the programs are as follows.
Program A: If Program A is adopted, 200 people will be saved [72%].Program A: If Program A is adopted, 200 people will be saved [72%].
Program B: If Program B is adopted, there is 1/3 probability that 600Program B: If Program B is adopted, there is 1/3 probability that 600
people will be saved, and 2/3 probability thatpeople will be saved, and 2/3 probability that no people will beno people will be
saved [28%].saved [28%].
Which of the two programs would you favor?Which of the two programs would you favor?
Asian Disease ProblemAsian Disease Problem
(from Tversky & Kahneman, 1981)(from Tversky & Kahneman, 1981)
PROBLEM 2 (N=155):PROBLEM 2 (N=155):
Imagine that the US is preparing for the outbreak of an unusual AsianImagine that the US is preparing for the outbreak of an unusual Asian
disease, which is expected to kill 600 people. Two alternative programsdisease, which is expected to kill 600 people. Two alternative programs
to combat the disease have been proposed. Assume that the exactto combat the disease have been proposed. Assume that the exact
scientific estimates of the consequences of the programs are as follows.scientific estimates of the consequences of the programs are as follows.
Program C: If Program C is adopted 400 people will die [22%].Program C: If Program C is adopted 400 people will die [22%].
Program D: If Program D is adopted there is 1/3 probability thatProgram D: If Program D is adopted there is 1/3 probability that
nobody will die, and 2/3 probability that 600 people will dienobody will die, and 2/3 probability that 600 people will die
[78%].[78%].
Which of the two programs would you favor?Which of the two programs would you favor?
Other BiasesOther Biases
FramingFraming
AnchoringAnchoring
EgocentrismEgocentrism
Discounting the futureDiscounting the future
VividnessVividness
Ignoring Base RatesIgnoring Base Rates
Mythical Fixed PieMythical Fixed Pie
Escalation of CommitmentEscalation of Commitment
Arbitrary Mental AccountingArbitrary Mental Accounting
Ignoring the Decision of OthersIgnoring the Decision of Others
The U.S. versus TobaccoThe U.S. versus Tobacco
1999 – The US DOJ files suit under RICO1999 – The US DOJ files suit under RICO
a)a) FraudFraud
b)b) ConspiracyConspiracy
The FraudsThe Frauds
1)1) Selling addictive substances while denying doing so.Selling addictive substances while denying doing so.
2)2) Manipulating nicotine while denying doing so.Manipulating nicotine while denying doing so.
3)3) Leading the public to make the false inference thatLeading the public to make the false inference that
light/low tar products are less hazardous than fulllight/low tar products are less hazardous than full
flavored brands.flavored brands.
4)4) Denying the effects of second hand smoke despiteDenying the effects of second hand smoke despite
having data to the contrary.having data to the contrary.
5)5) Denying the primary health effects of smokingDenying the primary health effects of smoking
despite having internal studies that clarify thesedespite having internal studies that clarify these
effects.effects.
6)6) Making false claims about conducting independentMaking false claims about conducting independent
research.research.
7)7) Suppressing evidence on health effects of smoking.Suppressing evidence on health effects of smoking.
RecommendationsRecommendations
My testimony concluded with the argumentMy testimony concluded with the argument
that absent significant court intervention,that absent significant court intervention,
misconduct would occur in the future. Mymisconduct would occur in the future. My
recommendation to the court, based on therecommendation to the court, based on the
assumption that D.O.J. had proven liability,assumption that D.O.J. had proven liability,
was that the court should appoint monitors towas that the court should appoint monitors to
the tobacco companies to consider appropriatethe tobacco companies to consider appropriate
structural changes, not limited to, butstructural changes, not limited to, but
including removal of senior management.including removal of senior management.
Timing of My WorkTiming of My Work
1) Hired: 3/10/051) Hired: 3/10/05
2) Filed expert report: 3/21/052) Filed expert report: 3/21/05
3) Deposed: 4/10/05 (7 hours, 10 attorneys on the other side)3) Deposed: 4/10/05 (7 hours, 10 attorneys on the other side)
4) Mid-April: Submitted written direct testimony4) Mid-April: Submitted written direct testimony
5) 4/30/05: At the beginning of a prep session for 5/4/055) 4/30/05: At the beginning of a prep session for 5/4/05
court appearance, I was asked to amend my testimonycourt appearance, I was asked to amend my testimony
6) 5/4/05: Testified in court6) 5/4/05: Testified in court
7) 5/4-6/05: Prepared for Daubert challenge7) 5/4-6/05: Prepared for Daubert challenge
8) 5/6-13/05: Helped DOJ prepare for Fischel (my opposite)8) 5/6-13/05: Helped DOJ prepare for Fischel (my opposite)
testimonytestimony
Total: 214 hoursTotal: 214 hours
11
12
9/119/11
The U.S. government knew that terrorists were willing to become
martyrs for their cause, and that their hatred toward the United
States was increasing.
1993: Terrorists had previously bombed the World Trade Center.
1994: Terrorists hijacked an Air France airplane and made an
aborted attempt to turn the airplane into a missile aimed at the Eiffel
Tower.
1994: Terrorists had also failed in an attempt to simultaneously
hijack twelve U.S. commercial airplanes in Asia.
Airline passengers knew how simple it was to board an airplane with
items, such as small knives, that could be used as weapons.
EnronEnron
How could Arthur Andersen vouch for the financial health of Enron, concealing
billions of dollars in debt from its shareholders?
At the heart of the Enron debacle is a conflict of interest that experts have
been warning about for years. In 2000, multiple scholars testified before the
SEC that the rapid growth of the Big 5 accounting firms’ consulting divisions
have made impartial financial audits almost impossible.
Psychologists have known for a long time that individuals with a vested self-
interest, even honest ones, are incapable of unbiased (independent) judgment.
a) Auditors have made tremendous profit from selling consulting
services to their audit clients.
b) Auditors want to be rehired.
c) The personnel on the audit often take jobs with the client firm.
June 17, 2005June 17, 2005
1) Waking up in London at 5 AM and reading about1) Waking up in London at 5 AM and reading about
Matthew Myers in the New York Times.Matthew Myers in the New York Times.
2) I realized that I should have acted six weeks2) I realized that I should have acted six weeks
earlier, and it was time to act now.earlier, and it was time to act now.
3) My story was covered by the Washington Post, and3) My story was covered by the Washington Post, and
led to congressional letters demanding anled to congressional letters demanding an
investigation.investigation.
4) But, I recognized my earlier failure, and4) But, I recognized my earlier failure, and
appreciated what Matthew Myers had done.appreciated what Matthew Myers had done.
What Can You Do More Broadly?What Can You Do More Broadly?
1) Put it on your agenda to be a first-class noticer (Warren1) Put it on your agenda to be a first-class noticer (Warren
Bennis). Focusing is good, but sometimes you need to take aBennis). Focusing is good, but sometimes you need to take a
look around.look around.
2) Take an outsider’s view.2) Take an outsider’s view.
3) Audit your organization. Identify changes that will help to3) Audit your organization. Identify changes that will help to
create a noticing organization.create a noticing organization.
4) When something is wrong, figure out what it is (tobacco4) When something is wrong, figure out what it is (tobacco
story).story).
The Role of NoticingThe Role of Noticing
 What problems exist that do not makeWhat problems exist that do not make
sense?sense?
 What are the barriers to fixing theseWhat are the barriers to fixing these
problems?problems?
 Are there viable solutions?Are there viable solutions?
Using Behavioral Insights toUsing Behavioral Insights to
Improve GovernmentImprove Government
Thaler and Sunstein’s NudgeThaler and Sunstein’s Nudge
The Behavioral Insights Team – led by DavidThe Behavioral Insights Team – led by David
HalpernHalpern
The UK’s What Works ProjectThe UK’s What Works Project
New Demonstrations throughout the WorldNew Demonstrations throughout the World
2003 Organ Donation Rates2003 Organ Donation Rates
(Johnson and Goldstein, 2003)(Johnson and Goldstein, 2003)
Gender Equality Nudge:Gender Equality Nudge:
Comparative EvaluationComparative Evaluation
“Today, 94 of the
FTSE 100 companies
count women on
their boards as do
over two thirds of
all FTSE 350
companies.”
Two Types of PromisesTwo Types of Promises
(Shu, Mazur, Gino, Ariely, and Bazerman)(Shu, Mazur, Gino, Ariely, and Bazerman)
Math PuzzlesMath Puzzles
Design
Two Types of PromisesTwo Types of Promises
(Shu, Mazur, Gino, Ariely, and Bazerman)(Shu, Mazur, Gino, Ariely, and Bazerman)
1) It works in the lab –
with replication
2) It works on reporting
mileage to an insurance
company
3) We believe it will work
on collecting taxes
4) Two large trials
ongoing
Research Going on Harvard’sResearch Going on Harvard’s
Behavioral Insights GroupBehavioral Insights Group
1)1) Employees at a business-process outsourcing company based in Bangalore, whenEmployees at a business-process outsourcing company based in Bangalore, when
asked to reflect for the last 15 minutes of each day on the lessons they had learnedasked to reflect for the last 15 minutes of each day on the lessons they had learned
that day, increased performance by 22.8 percent (Francesca Gino, HBS)that day, increased performance by 22.8 percent (Francesca Gino, HBS)
2)2) Sending a letter to eight million US households comparing household energy use toSending a letter to eight million US households comparing household energy use to
that of their neighbors can reduce energy consumption equivalent to that used bythat of their neighbors can reduce energy consumption equivalent to that used by
St. Louis and Portland (Todd Rogers, HKS)St. Louis and Portland (Todd Rogers, HKS)
3)3) Opt-out defaults greatly increase savings rates at every stage of the savings lifecycle,Opt-out defaults greatly increase savings rates at every stage of the savings lifecycle,
including savings plan participation, contributions, asset allocation, and rolloversincluding savings plan participation, contributions, asset allocation, and rollovers
(Brigitte Madrian, HKS, David Laibson, FAS, and John Beshears, HBS)(Brigitte Madrian, HKS, David Laibson, FAS, and John Beshears, HBS)
4)4) Plan-making and stressing high turnout increases the likelihood that an individualPlan-making and stressing high turnout increases the likelihood that an individual
will vote (Todd Rogers, HKS)will vote (Todd Rogers, HKS)
5)5) When tax preparers at H&R Block helped some low- and moderate income clientsWhen tax preparers at H&R Block helped some low- and moderate income clients
fill out the FAFSA using existing financial data from the IRS, there was a significantfill out the FAFSA using existing financial data from the IRS, there was a significant
boost in the rate at which participants in the program applied for financial aid, theboost in the rate at which participants in the program applied for financial aid, the
number who received aid and the amount they got, and the proportion ofnumber who received aid and the amount they got, and the proportion of
participants who enrolled in college (Bridget Terry Long, HGSE)participants who enrolled in college (Bridget Terry Long, HGSE)

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The power of noticing: what the best leaders see

  • 1. Decision Making, Noticing, andDecision Making, Noticing, and the Use of Behavioral Insightsthe Use of Behavioral Insights Max H. BazermanMax H. Bazerman Harvard UniversityHarvard University
  • 2. Decision BiasesDecision Biases Daniel Kahneman’s Thinking, Fast and SlowDaniel Kahneman’s Thinking, Fast and Slow (over a million copies sold in the UK alone)(over a million copies sold in the UK alone)
  • 3. Asian Disease ProblemAsian Disease Problem (from Tversky & Kahneman, 1981)(from Tversky & Kahneman, 1981) PROBLEM 1 (N=152):PROBLEM 1 (N=152): Imagine that the US is preparing for the outbreak of an unusual AsianImagine that the US is preparing for the outbreak of an unusual Asian disease, which is expected to kill 600 people. Two alternative programsdisease, which is expected to kill 600 people. Two alternative programs to combat the disease have been proposed. Assume that the exactto combat the disease have been proposed. Assume that the exact scientific estimates of the consequences of the programs are as follows.scientific estimates of the consequences of the programs are as follows. Program A: If Program A is adopted, 200 people will be saved [72%].Program A: If Program A is adopted, 200 people will be saved [72%]. Program B: If Program B is adopted, there is 1/3 probability that 600Program B: If Program B is adopted, there is 1/3 probability that 600 people will be saved, and 2/3 probability thatpeople will be saved, and 2/3 probability that no people will beno people will be saved [28%].saved [28%]. Which of the two programs would you favor?Which of the two programs would you favor?
  • 4. Asian Disease ProblemAsian Disease Problem (from Tversky & Kahneman, 1981)(from Tversky & Kahneman, 1981) PROBLEM 2 (N=155):PROBLEM 2 (N=155): Imagine that the US is preparing for the outbreak of an unusual AsianImagine that the US is preparing for the outbreak of an unusual Asian disease, which is expected to kill 600 people. Two alternative programsdisease, which is expected to kill 600 people. Two alternative programs to combat the disease have been proposed. Assume that the exactto combat the disease have been proposed. Assume that the exact scientific estimates of the consequences of the programs are as follows.scientific estimates of the consequences of the programs are as follows. Program C: If Program C is adopted 400 people will die [22%].Program C: If Program C is adopted 400 people will die [22%]. Program D: If Program D is adopted there is 1/3 probability thatProgram D: If Program D is adopted there is 1/3 probability that nobody will die, and 2/3 probability that 600 people will dienobody will die, and 2/3 probability that 600 people will die [78%].[78%]. Which of the two programs would you favor?Which of the two programs would you favor?
  • 5. Other BiasesOther Biases FramingFraming AnchoringAnchoring EgocentrismEgocentrism Discounting the futureDiscounting the future VividnessVividness Ignoring Base RatesIgnoring Base Rates Mythical Fixed PieMythical Fixed Pie Escalation of CommitmentEscalation of Commitment Arbitrary Mental AccountingArbitrary Mental Accounting Ignoring the Decision of OthersIgnoring the Decision of Others
  • 6. The U.S. versus TobaccoThe U.S. versus Tobacco 1999 – The US DOJ files suit under RICO1999 – The US DOJ files suit under RICO a)a) FraudFraud b)b) ConspiracyConspiracy
  • 7. The FraudsThe Frauds 1)1) Selling addictive substances while denying doing so.Selling addictive substances while denying doing so. 2)2) Manipulating nicotine while denying doing so.Manipulating nicotine while denying doing so. 3)3) Leading the public to make the false inference thatLeading the public to make the false inference that light/low tar products are less hazardous than fulllight/low tar products are less hazardous than full flavored brands.flavored brands. 4)4) Denying the effects of second hand smoke despiteDenying the effects of second hand smoke despite having data to the contrary.having data to the contrary. 5)5) Denying the primary health effects of smokingDenying the primary health effects of smoking despite having internal studies that clarify thesedespite having internal studies that clarify these effects.effects. 6)6) Making false claims about conducting independentMaking false claims about conducting independent research.research. 7)7) Suppressing evidence on health effects of smoking.Suppressing evidence on health effects of smoking.
  • 8. RecommendationsRecommendations My testimony concluded with the argumentMy testimony concluded with the argument that absent significant court intervention,that absent significant court intervention, misconduct would occur in the future. Mymisconduct would occur in the future. My recommendation to the court, based on therecommendation to the court, based on the assumption that D.O.J. had proven liability,assumption that D.O.J. had proven liability, was that the court should appoint monitors towas that the court should appoint monitors to the tobacco companies to consider appropriatethe tobacco companies to consider appropriate structural changes, not limited to, butstructural changes, not limited to, but including removal of senior management.including removal of senior management.
  • 9. Timing of My WorkTiming of My Work 1) Hired: 3/10/051) Hired: 3/10/05 2) Filed expert report: 3/21/052) Filed expert report: 3/21/05 3) Deposed: 4/10/05 (7 hours, 10 attorneys on the other side)3) Deposed: 4/10/05 (7 hours, 10 attorneys on the other side) 4) Mid-April: Submitted written direct testimony4) Mid-April: Submitted written direct testimony 5) 4/30/05: At the beginning of a prep session for 5/4/055) 4/30/05: At the beginning of a prep session for 5/4/05 court appearance, I was asked to amend my testimonycourt appearance, I was asked to amend my testimony 6) 5/4/05: Testified in court6) 5/4/05: Testified in court 7) 5/4-6/05: Prepared for Daubert challenge7) 5/4-6/05: Prepared for Daubert challenge 8) 5/6-13/05: Helped DOJ prepare for Fischel (my opposite)8) 5/6-13/05: Helped DOJ prepare for Fischel (my opposite) testimonytestimony Total: 214 hoursTotal: 214 hours
  • 10.
  • 11. 11
  • 12. 12
  • 13. 9/119/11 The U.S. government knew that terrorists were willing to become martyrs for their cause, and that their hatred toward the United States was increasing. 1993: Terrorists had previously bombed the World Trade Center. 1994: Terrorists hijacked an Air France airplane and made an aborted attempt to turn the airplane into a missile aimed at the Eiffel Tower. 1994: Terrorists had also failed in an attempt to simultaneously hijack twelve U.S. commercial airplanes in Asia. Airline passengers knew how simple it was to board an airplane with items, such as small knives, that could be used as weapons.
  • 14. EnronEnron How could Arthur Andersen vouch for the financial health of Enron, concealing billions of dollars in debt from its shareholders? At the heart of the Enron debacle is a conflict of interest that experts have been warning about for years. In 2000, multiple scholars testified before the SEC that the rapid growth of the Big 5 accounting firms’ consulting divisions have made impartial financial audits almost impossible. Psychologists have known for a long time that individuals with a vested self- interest, even honest ones, are incapable of unbiased (independent) judgment. a) Auditors have made tremendous profit from selling consulting services to their audit clients. b) Auditors want to be rehired. c) The personnel on the audit often take jobs with the client firm.
  • 15. June 17, 2005June 17, 2005 1) Waking up in London at 5 AM and reading about1) Waking up in London at 5 AM and reading about Matthew Myers in the New York Times.Matthew Myers in the New York Times. 2) I realized that I should have acted six weeks2) I realized that I should have acted six weeks earlier, and it was time to act now.earlier, and it was time to act now. 3) My story was covered by the Washington Post, and3) My story was covered by the Washington Post, and led to congressional letters demanding anled to congressional letters demanding an investigation.investigation. 4) But, I recognized my earlier failure, and4) But, I recognized my earlier failure, and appreciated what Matthew Myers had done.appreciated what Matthew Myers had done.
  • 16. What Can You Do More Broadly?What Can You Do More Broadly? 1) Put it on your agenda to be a first-class noticer (Warren1) Put it on your agenda to be a first-class noticer (Warren Bennis). Focusing is good, but sometimes you need to take aBennis). Focusing is good, but sometimes you need to take a look around.look around. 2) Take an outsider’s view.2) Take an outsider’s view. 3) Audit your organization. Identify changes that will help to3) Audit your organization. Identify changes that will help to create a noticing organization.create a noticing organization. 4) When something is wrong, figure out what it is (tobacco4) When something is wrong, figure out what it is (tobacco story).story).
  • 17. The Role of NoticingThe Role of Noticing  What problems exist that do not makeWhat problems exist that do not make sense?sense?  What are the barriers to fixing theseWhat are the barriers to fixing these problems?problems?  Are there viable solutions?Are there viable solutions?
  • 18. Using Behavioral Insights toUsing Behavioral Insights to Improve GovernmentImprove Government Thaler and Sunstein’s NudgeThaler and Sunstein’s Nudge The Behavioral Insights Team – led by DavidThe Behavioral Insights Team – led by David HalpernHalpern The UK’s What Works ProjectThe UK’s What Works Project New Demonstrations throughout the WorldNew Demonstrations throughout the World
  • 19. 2003 Organ Donation Rates2003 Organ Donation Rates (Johnson and Goldstein, 2003)(Johnson and Goldstein, 2003)
  • 20. Gender Equality Nudge:Gender Equality Nudge: Comparative EvaluationComparative Evaluation
  • 21.
  • 22.
  • 23. “Today, 94 of the FTSE 100 companies count women on their boards as do over two thirds of all FTSE 350 companies.”
  • 24.
  • 25. Two Types of PromisesTwo Types of Promises (Shu, Mazur, Gino, Ariely, and Bazerman)(Shu, Mazur, Gino, Ariely, and Bazerman)
  • 26.
  • 29. Two Types of PromisesTwo Types of Promises (Shu, Mazur, Gino, Ariely, and Bazerman)(Shu, Mazur, Gino, Ariely, and Bazerman) 1) It works in the lab – with replication 2) It works on reporting mileage to an insurance company 3) We believe it will work on collecting taxes 4) Two large trials ongoing
  • 30. Research Going on Harvard’sResearch Going on Harvard’s Behavioral Insights GroupBehavioral Insights Group 1)1) Employees at a business-process outsourcing company based in Bangalore, whenEmployees at a business-process outsourcing company based in Bangalore, when asked to reflect for the last 15 minutes of each day on the lessons they had learnedasked to reflect for the last 15 minutes of each day on the lessons they had learned that day, increased performance by 22.8 percent (Francesca Gino, HBS)that day, increased performance by 22.8 percent (Francesca Gino, HBS) 2)2) Sending a letter to eight million US households comparing household energy use toSending a letter to eight million US households comparing household energy use to that of their neighbors can reduce energy consumption equivalent to that used bythat of their neighbors can reduce energy consumption equivalent to that used by St. Louis and Portland (Todd Rogers, HKS)St. Louis and Portland (Todd Rogers, HKS) 3)3) Opt-out defaults greatly increase savings rates at every stage of the savings lifecycle,Opt-out defaults greatly increase savings rates at every stage of the savings lifecycle, including savings plan participation, contributions, asset allocation, and rolloversincluding savings plan participation, contributions, asset allocation, and rollovers (Brigitte Madrian, HKS, David Laibson, FAS, and John Beshears, HBS)(Brigitte Madrian, HKS, David Laibson, FAS, and John Beshears, HBS) 4)4) Plan-making and stressing high turnout increases the likelihood that an individualPlan-making and stressing high turnout increases the likelihood that an individual will vote (Todd Rogers, HKS)will vote (Todd Rogers, HKS) 5)5) When tax preparers at H&R Block helped some low- and moderate income clientsWhen tax preparers at H&R Block helped some low- and moderate income clients fill out the FAFSA using existing financial data from the IRS, there was a significantfill out the FAFSA using existing financial data from the IRS, there was a significant boost in the rate at which participants in the program applied for financial aid, theboost in the rate at which participants in the program applied for financial aid, the number who received aid and the amount they got, and the proportion ofnumber who received aid and the amount they got, and the proportion of participants who enrolled in college (Bridget Terry Long, HGSE)participants who enrolled in college (Bridget Terry Long, HGSE)

Editor's Notes

  1. Ulric Neisser (1979) asked participants to observe a video of two visually superimposed groups of players passing basketballs. In the video, one group of players wears white shirts and the other group wears dark shirts. Study participants were instructed to count the number of passes between members of one of the two groups. The task is moderately difficult, and study participants had to give it their full attention. Only 21% of Neisser’s study participants reported seeing a woman who clearly and unexpectedly walked through the basketball court carrying an open umbrella. Our own experience using this video in the classroom is that even far fewer than 21% of students notice the woman. Yet when the video is shown again to demonstrate what most of the class missed, everyone sees the woman. Essentially, by focusing on one task, people miss very obvious information in their visual world. Simons and Chabris (1999) replicated this effect with a more contemporary video in which a person in a gorilla costume walks through a basketball game, thumping his chest, and is clearly and comically visible for more than five seconds. Simons provides a series of such demonstrations on a video that is available at www.viscog.com. Our naïve observation of the videos is that the common failure to see the obvious is amazing, far exceeding conventional assumptions about our visual awareness. Investigating the relationship between perception and attention, Mack and Rock (1998) demonstrate that people have a broad tendency to not see what they are looking at directly when they are focused on a different issue. This failure, known as “inattentional blindness,” is nicely summarized in Mack and Rock (1998) and in the work of Daniel Simons (Simons, 2000; Simons & Chabris, 1999; Simons & Levin, 2003). Mack (2003) suggests the implications of inattentional blindness for the airplane pilot who, attending to his controls, fails to see another airplane in his runway. Similarly, many car accidents undoubtedly result from drivers focusing on matters other than driving, such as talking on their cell phones. Psychologists are conducting interesting research that connects inattentional blindness to neural regions in the brain (C. M. Moore & Egeth, 1997), and that identifies key independent variables that affect the probability of not seeing the obvious (Mack, 2003). Here, we ask whether inattentional blindness generalizes from the visual world to the broader array of information that is readily available in the environment, yet overlooked by most decision-makers, including negotiators. For guidance, we consider behavioral decision research on the related issues of focalism and the focusing bias.
  2. Area to right of blue line marks post-simulation data Clients with advisers who recommended Fortitude would have lost entire investment
  3. Save More Tomorrow: The essence of the plan is straightforward: people commit in advance to allocate a portion of their future salary increases toward retirement savings.  We also report evidence on the first implementation of the SMT plan.  Our key findings are the following:  (1)  Most people (78 percent) who were offered the SMT plan elected to use it; (2) virtually everyone (98 percent) who joined the plan remained in it through two pay raises, and the vast majority (80 percent) remained in it through the third pay raise; and (3) The average saving rates for SMT plan participants increased from 3.5 percent to 11.6 percent over the course of 28 months. 
  4. OVERVIEW From 2010 to present, the number of all-male boards in the U.K. has fallen from 21 to 7. As of March 2013, within the FTSE 100: Women now account for 17.3 percent of all directorship, up from 10.5 percent in 2010 Women have accounted for 34 percent of all board appointments (45 out of 134) There are currently 94 boards with female representation There are now 192 directors out of a total of 1,110 In FTSE 250: Women now account for 13.2 percent, up from 6.7 percent in 2010 Women have accounted for 26 percent of board appointments There are currently 183 board with female representation For the second-year running, all-male boards are in the minority at 26.8 percent Between 2008 and 2010, the number of women boards had plateaued, growing less than a percentage point each year. Although progress has stalled in the past 6 months, the U.K. is on target to meet the original recommendation of 25% women on FTSE 100 boards by 2015. Report link: https://www.gov.uk/government/policies/making-companies-more-accountable-to-shareholders-and-the-public/supporting-pages/increasing-representation-on-boards-of-listed-companies HISTORY: Increasing representation on boards of listed companies In 2010 government commissioned Lord Davies of Abersoch to find out what was preventing women becoming board members and to develop a strategy to increase the number of women on the boards of listed companies. In September 2010 Lord Davies began a consultation that included senior business figures, women business leaders, entrepreneurs, executive search firms (headhunters), investors, women’s networks and women who are just below senior board level. His report Women on Boards was published in February 2011 and set out 10 recommendations to increase the number of women on boards. Its main recommendations were that: all chairmen of Financial Times and Stock Exchange (FTSE) 350 companies should set targets for the percentage of women they aim to have on their boards in 2013 and 2015: see the list FTSE 350 published targets for ‘Women on boards’ report recommendation 1 [MS Word Document, 404KB] FTSE 100 boards should aim for a minimum of 25% female representation by 2015 chairmen should announce what they intend to do to increase female representation on their boards by September 2011 all chief executives will review the percentage of women they aim to have on their executive committees in 2013 and 2015 See the Women on Boards annual reviews and updates for progress in implementing the recommendations.
  5. Vince Cable, https://www.gov.uk/government/news/women-on-boards-two-years-on
  6. Court example: testify before giving the facts “I  swear to tell the truth, the whole truth, and nothing but the truth” Contract example: affirm after giving the facts “I confirm what I have stated is true” Does it matter that we promise before or after reporting the facts? IF so, why should it matter? Which type of promise should be we be using to encourage the most truthful reporting?
  7. Here’s an example of a promise we make everyday
  8. Court example: testify before giving the facts “I  swear to tell the truth, the whole truth, and nothing but the truth” Contract example: affirm after giving the facts “I confirm what I have stated is true” Does it matter that we promise before or after reporting the facts? IF so, why should it matter? Which type of promise should be we be using to encourage the most truthful reporting?