check
Hierarchical inference as a source of human biases | Psychology Department

Latest News

naom Markovitch

Congratulations to Dr. Noam Markovitch

24 May, 2023

For receiving the best doctoral award in developmental psychology from the APA organization!
Noam's doctorate deals with the understanding of children's differential sensitivity to the effects of the environment on their development. The work's contribution to developmental psychology is very significant, both in theoretical thought and methodological approaches.
Well done Noam!
Noam PhD supervisor, Prof. Ariel Knafo-Noam, has also won the award in the past

 

From acute stress to persistent post-concussion symptoms: The role of parental accommodation and child’s coping strategies

19 April, 2023

An article by PhD candidate Irit Aviv, supervised by Dr. Tammy Pilowsky Peleg and Prof. Hillel Aviezer was selected as the winner of the Eighth Annual TCN/AACN student Project Competition, from among 15 eligible manuscripts

Acute stress following mild Traumatic Brain Injury (mTBI) is highly prevalent and associated with Persistent Post-Concussion symptoms (PPCS). However, the mechanism mediating this relationship is understudied.

More

Filter News by Month

Hierarchical inference as a source of human biases

26 June, 2022
Eran Eldar

It is common to think of human biases as resulting from limited cognitive resources. This idea has had immense influence on research, public policy, and popular culture, and it is no doubt correct in some cases. But it misses the fact that reaching biased judgments often requires integrating more, not less, information. What typically happens is that people are asked to use only a specific set of facts to form their judgments, but instead they also consider various contextual factors, such as how a question was framed or what was their emotional state at the time. Although this means they are taking into account information the experimenter may not have considered to be relevant, Paul Sharp and Isaac Fradkin from Eran Eldar’s lab demonstrate how this more complex form of inference can produce “rationally biased” judgements that benefit decision making in many contexts.

See full article here