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Leeds Psychologist in the Pub: How do we decide who is lying?

09 December 2019 7:00 pm - 8:00 pm
This event is free and open to BPS members and the general public. No registration is required.
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How good are you at spotting other people’s lies?

In this event we will consider how people deceive and how we try (but usually fail) to detect them.

The traditional position in the research field is that people are error-prone, gullible and naive lie detectors, taking at face value whatever others tell them. However, in our work we are challenging this traditional view.

Rather than error-prone, the Adaptive Lie Detector theory, or ALIED, argues that people are making smart and informed judgments about whether someone is lying to them.

That may seem an odd position to take, given that human lie detectors are regularly inaccurate.

Dr Chris Street will explore how decisions that on the surface seem error-prone can actually be masking a deeper, smarter judgment process that we are using to reach our decision.

See Programme Tab for further details

The Victoria Hotel, 
28 Great George St, 

Event Location: 

Speakier: Dr Chris Street

Dr Chris Street is a Reader in Cognitive Psychology at the University of Huddersfield.

His primary research interest is in understanding how people reach a judgment of lie or truth, and what might influence the decision.

Chris has published the first adaptive theory of lie detection and has been vocal in arguing that supposed measures of unconscious lie detection do not measure unconscious thinking and can be better explained as a conscious judgment.

He is currently working on two national projects to understand when and why people trust fraudulent email and SMS text messages.

This is a free event is free and open to Members and the general public, no registration is required.


If you have any queries regarding this event please contact Member Network Services, quoting 'NE - Psychology In the Pub - 9 Dec' at: 

Alternatively telephone during office hours on +44 (0) 116 252 9515 stating the name and date of the event.

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