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“He Said What?” 
Deception Detection in Litigation 
Edward P. Schwartz, Ph.D., M.S.L. 
DecisionQuest 
Presented to the LCA Renaissance Symposium 
December 5, 2014
Will Jurors Believe a Witness? 
“My guy is a 
really credible 
witness.” 
“The jury is 
going to see 
right through 
her.” 
“He is so 
obviously full 
of B.S.” 
“My expert 
comes across 
like a Boy 
Scout.” 
“She presents 
as very 
earnest.” 
“What a 
slimeball!”
How well do people differentiate truth from lies? 
Standard methodology: 
Create a situation where some speakers are motivated to lie (or exploit pre-existing 
ones) 
Expose listeners to an equal mix of true and false messages. 
Ask each listener to identify each message as true or false. 
Meta-analyses 
Aggregate results across hundreds of studies 
Analyze data for statistical effects of speaker, listener, message and 
environmental characteristics
How well do people differentiate truth from lies? 
Baseline success rate in studies where ½ of messages are lies:
Digging Deeper 
Truth Bias 
Respondents typically identify about 2/3 of statements as being true. 
Myriad cultural, anthropological, evolutionary reasons why truth bias would 
evolve. 
Correctly identify about 65% of true statements. 
Correctly identify only about 44% of lies. 
Lie Bias 
When statements are denials, there is a lie bias instead. 
Important implications for trial strategy. 
Accusations generate suspicious minds
In Search of Human Lie Detectors 
Professionals do not perform any better than ordinary folk. 
Psychologists, law enforcement, social workers, judges 
Most training techniques don’t seem to help. 
There are a handful of naturally gifted lie detectors but most 
people are quite terrible. 
Some training on “micro-expressions” and “leakage” does 
improve recognition of hot spots.
The Overconfidence Problem 
We generally believe we are better at discerning truth from 
fiction than we actually are. 
Those who believe they are good at is aren’t any better than 
those who don’t. (Correlation: 0.04) 
This is a recipe for a false expert to hijack your next jury. 
Somewhat akin to the witness ID problem.
Have we been looking at this backwards? 
Demeanor vs. Transparency 
Maybe the action is on the speaker side of the equation. 
Subsequent studies showed much more variance in how 
easily speakers were read than how accurately listeners 
identified deception. 
Some speakers were misread over 80% of the time while 
others were pegged correctly over 90% of the time.
Talk about a gender gap! 
Male Listeners Female Listeners All Listeners 
Speaker Correct Incorrect Correct Incorrect Correct Incorrect 
Lying Men 26% 74% 25% 75% 25% 75% 
Truthful Men 46% 54% 55% 45% 53% 47% 
All Men 37% 63% 41% 59% 40% 60% 
Lying Women 57% 43% 54% 46% 55% 45% 
Truthful Women 76% 24% 84% 16% 81% 19% 
All Women 67% 33% 68% 32% 67% 33% 
All Liars 42% 58% 41% 59% 41% 59% 
All Truthful 60% 40% 69% 31% 67% 33% 
All Speakers 52% 48% 55% 45% 54% 46%
Takeaways from Gender Study 
Women are: 
Trusting (truth bias) 
Transparent (especially when truthful) 
NOT simply credible 
Men are: 
Somewhat less trusting 
Opaque (both as liars and truth tellers) 
Descriptively Deceptive
Why are we so bad at this? 
The problem is that we focus on all the wrong cues: 
• Eye Contact 
• Nervousness 
• Blinking 
• Laughter 
• Hesitation 
• Fidgeting
Auditory and Visual Cues of Deception 
(Zuckerman, DePaulo and Rosenthal, 1981) 
Transcript Only: 0.70 Tone Only: 0.20 
Entries are in Standard Deviation Units 
Visual Cues 
Face/Body 
Face/No 
Body 
No 
Face/Body 
No Face/ 
No Body 
Means 
Auditory 
Cues 
Speech 1.00 0.99 1.49 1.09 1.14 
No Speech 0.35 0.05 0.43 0.00 0.21 
Means 0.68 0.52 0.96 0.54 0.68
Strategies to Increase Witness Transparency 
• Disruption 
• Distraction of the witness 
• Distraction of the Jurors 
• Focus on language 
• Multitasking 
• Confrontation regarding veracity 
• Test the witness in advance

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Detect Deception in Litigation Through Increased Witness Transparency

  • 1. “He Said What?” Deception Detection in Litigation Edward P. Schwartz, Ph.D., M.S.L. DecisionQuest Presented to the LCA Renaissance Symposium December 5, 2014
  • 2. Will Jurors Believe a Witness? “My guy is a really credible witness.” “The jury is going to see right through her.” “He is so obviously full of B.S.” “My expert comes across like a Boy Scout.” “She presents as very earnest.” “What a slimeball!”
  • 3. How well do people differentiate truth from lies? Standard methodology: Create a situation where some speakers are motivated to lie (or exploit pre-existing ones) Expose listeners to an equal mix of true and false messages. Ask each listener to identify each message as true or false. Meta-analyses Aggregate results across hundreds of studies Analyze data for statistical effects of speaker, listener, message and environmental characteristics
  • 4. How well do people differentiate truth from lies? Baseline success rate in studies where ½ of messages are lies:
  • 5. Digging Deeper Truth Bias Respondents typically identify about 2/3 of statements as being true. Myriad cultural, anthropological, evolutionary reasons why truth bias would evolve. Correctly identify about 65% of true statements. Correctly identify only about 44% of lies. Lie Bias When statements are denials, there is a lie bias instead. Important implications for trial strategy. Accusations generate suspicious minds
  • 6. In Search of Human Lie Detectors Professionals do not perform any better than ordinary folk. Psychologists, law enforcement, social workers, judges Most training techniques don’t seem to help. There are a handful of naturally gifted lie detectors but most people are quite terrible. Some training on “micro-expressions” and “leakage” does improve recognition of hot spots.
  • 7. The Overconfidence Problem We generally believe we are better at discerning truth from fiction than we actually are. Those who believe they are good at is aren’t any better than those who don’t. (Correlation: 0.04) This is a recipe for a false expert to hijack your next jury. Somewhat akin to the witness ID problem.
  • 8. Have we been looking at this backwards? Demeanor vs. Transparency Maybe the action is on the speaker side of the equation. Subsequent studies showed much more variance in how easily speakers were read than how accurately listeners identified deception. Some speakers were misread over 80% of the time while others were pegged correctly over 90% of the time.
  • 9. Talk about a gender gap! Male Listeners Female Listeners All Listeners Speaker Correct Incorrect Correct Incorrect Correct Incorrect Lying Men 26% 74% 25% 75% 25% 75% Truthful Men 46% 54% 55% 45% 53% 47% All Men 37% 63% 41% 59% 40% 60% Lying Women 57% 43% 54% 46% 55% 45% Truthful Women 76% 24% 84% 16% 81% 19% All Women 67% 33% 68% 32% 67% 33% All Liars 42% 58% 41% 59% 41% 59% All Truthful 60% 40% 69% 31% 67% 33% All Speakers 52% 48% 55% 45% 54% 46%
  • 10. Takeaways from Gender Study Women are: Trusting (truth bias) Transparent (especially when truthful) NOT simply credible Men are: Somewhat less trusting Opaque (both as liars and truth tellers) Descriptively Deceptive
  • 11. Why are we so bad at this? The problem is that we focus on all the wrong cues: • Eye Contact • Nervousness • Blinking • Laughter • Hesitation • Fidgeting
  • 12. Auditory and Visual Cues of Deception (Zuckerman, DePaulo and Rosenthal, 1981) Transcript Only: 0.70 Tone Only: 0.20 Entries are in Standard Deviation Units Visual Cues Face/Body Face/No Body No Face/Body No Face/ No Body Means Auditory Cues Speech 1.00 0.99 1.49 1.09 1.14 No Speech 0.35 0.05 0.43 0.00 0.21 Means 0.68 0.52 0.96 0.54 0.68
  • 13. Strategies to Increase Witness Transparency • Disruption • Distraction of the witness • Distraction of the Jurors • Focus on language • Multitasking • Confrontation regarding veracity • Test the witness in advance