If you're reading this, you're probably a semi-expert in behavioural economics. Today I read the granddaddy paper of our field: Prospect Theory.

Prospect Theory: An Analysis of Decision under Risk by Daniel Kahneman & Amos Tversky (1979)

Paper #3 #30papers30days 👇
This paper rails against Expected Utility Theory - the idea that we weigh all options up and choose rationally - and ultimately annihilates this idea.

This paper is about certainty. Our desire to pick options that are most certain, even if they are worse.
Certainty Effect. People overweight outcomes that are considered certain.

You could win some money here. Would you pick A or B?
A: $4000 with an 80% probability
B: $3,000 (100% probability)

80% go for B.
The Reflection Effect.
Just as people prefer sure gains, they prefer sure losses. Given the choice of A or B, what would you choose?

A: 80% chance of losing $4,000
B: 100% chance of losing 3,000

80% go for B, even though they know they will lose money. Better the devil you know Image
Probabilistic Insurance.
Image you're not fussed either way on getting fire damage insurance. A company proposes a deal:
✨ Probabilistic Insurance ✨
⭐️ Pay half the normal price, but there's a catch...
If the fire occurs on
• An odd number day: pay full price and your losses will be fully recovered
• An even number day: your expense is refunded fully but your house burned everything

80% didn't go for ✨ Probabilistic Insurance ✨ despite not actually being fussed paying
The above sounds abstract, but there are many instances where you pay to lower the probability of something going wrong without eliminating it. Replacing tires, investing in CCTV, stopping smoking.

Yet, instead of cutting the chance of loss in half, we prefer to guarantee it.
The Value Function.
Just as we understand light, sound and temperature by their relative changes, we understand health, wealth and prestige by relative differences, not absolute states.

Value should be measured by A) initial starting point B) the magnitude of change from it.
Our sensitivity to relative differences increases at small scales. And diminishes the further we get from the reference point. It's easier to discriminate between 3ºC/ 6ºC than 13ºC/ 16ºC.

Thus, the difference in value between $100 and $200 is felt more that of $1,100 vs $1,100
This gives us the anatomy of Prospect Theory's value function:

1. Value is defined on deviations from the reference point
2. Concave for gains: risk aversion for gains. Convex for losses: risk seeking for losses
3. Steeper losses for gains - losses hurt more than gains Image
GOOD: groundbreaking work; became cornerstone of behavioural economics; challenging but rewarding read

BAD: over-reliance on surveys; field xpmts would have complemented; psych student participants

BETTER IF: applied beyond economics to health, policy, quality of life, so on.
Closing comments.
Kahneman & Tversky's work went on to win the Nobel Prize in economics. In 2020, PT was replicated across 19 countries in 13 languages with 94%-100% replication. This marriage of psychology and economics was only possible because both faculties shared a lunchroom
Source.

Kahneman, D. and Tversky, A., 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I (pp. 99-127).
uzh.ch/cmsssl/suz/dam…

Replication study.
doi.org/10.1038/s41562…

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More from @utterlydavid

6 Aug
A three ingredient recipe for keeping your human motivated.

Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being.

Paper #5 #30papers30days 👇
Here's how it opens: a joy to read.

"The fullest representations of humanity show people to be curious, vital, and self-motivated. At their best, they are agentic and inspired, striving to learn; extend themselves; master new skills; and apply their talents responsibly."
This paper is about our motivation and the conditions required to facilitate it. They identify three ingredients.

• Competence: I believe in my ability to do
• Autonomy: I am *choosing* to do it (even if it's painful)
• Relatedness: I matter to others
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5 Aug
Everyone agrees that the ability to understand (and therefore influence) systems is immensely powerful. But what is systems thinking in the first place?

A Definition of Systems Thinking: A Systems Approach by Ross Arnold & John Wade (2015).

Paper #4 #30papers30days 👇
This paper argues that to make Systems Thinking more understandable, a complete definition is required.

The dictionary says "a system is defined as a regularly interacting or interdependent group of items forming a unified whole."

Something more than a collection of its parts.
Early on, the authors realise that systems thinking is literally *a system for thinking about systems* Image
Read 11 tweets
1 Aug
To spread behaviour and start movements, you should be careful about targeting central hubs.

Complex Contagions and the Weakness of Long Ties by Damon Centola (2007). A summary and light critique.

Paper #1 #30papers30days
Most behaviour spreads through social contact. Weak ties - people you barely know - easily spread viruses, and information, like a new job opening. They reach deeply into neighbourhoods you would never know. Whereas, strong ties already know all the gossip.
But, weak ties only allow for 'simple contagion'. Only one source is required to give me covid or tell me Team GB's score.
When the behaviour is costly (social cred, etc) or controversial, people may require independent affirmation and reinforcement from multiple sources.
Read 9 tweets
20 Jun 20
This is everyone who tweeted #Nudgestock2020.
A few things to point out. A thread:

View full res: drive.google.com/drive/folders/…
Centrality. People closest to the centre are the most influential. They have the highest reach or they are associated w/ people who do.

Top 10
@OgilvyConsultUK @rorysutherland @Ogilvy @dilipsoman @42Courses @s_tatam @CassSunstein @danariely @peoplepatterns @CGraves
Clusters. Highly interconnected groups.

Shout out to team green: @adamferrier @thebrainybiz @austint @MikeyFox Blue: @NGruen1 @danbenyork Orange: @kaiwright @chiaravara Pink: @bjfogg @primalpoly @lauriesantos @sentientist @profpauldolan Hot pink: @UofT_BEAR @Bong_Bondhu
Read 5 tweets

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