The confirmation bias is one of the most widely known cognitive biases. It reflects the fact that we favour information that confirms our existing beliefs.
But contrary to this accepted wisdom, looking for confirmatory information is likely not a bias at all. 🧵
The confirmation bias has been described as a candidate for being the “single problematic aspect of human reasoning that deserves attention above all others”. (Nickerson, 8500 Scholar citations)
Interest in the confirmation bias has also grown with the rise of political polarisation in several Western countries. This bias appears to contribute to the phenomenon of "echo chambers," where people are exposed only to opinions that reinforce their pre-existing views.
The search for confirmatory information can intuitively appear to be a “cognitive bias”. But is it though?
For it to be a bias, we would need to know what is the *right* way to collect information.
Is balance the right way to acquire information? There are good reasons we don’t systematically pursue balance. If we believe a contrarian information source is not credible, wouldn't attending to it simply waste our time?
News media, like for instance the BBC, can be criticised for an over-commitment to apparent impartiality leading to promoting a "false balance", dedicating airtime to improbable perspectives. blogs.lse.ac.uk/medialse/2014/…
And when looking for advice, people disagreeing with us may not be helpful. Instead, they can waste our time raising criticisms we deem irrelevant. Looking at the problem of choosing an advisor optimally, Suen concluded in a paper published in the Economic Journal in 2004:
What is the best way to acquire information then? Zhong (2022) looked at a very general situation: 1) Acquiring information & waiting to make a decision is costly 2) You can choose the type of information you get.
👉The optimal solution is to look for confirmatory information!
The optimal solution is for you to follow a source of information that can only give you news in the direction you expect to be true. As you wait for positive news, your initial belief will wane. But as soon as you get confirmatory information you stop confidently (“I knew it”).
For example, if we learn that a politician is accused of fraudulent behaviour, it will make sense to follow news sources that would release evidence in the direction we most likely believe to be true (if this evidence exists).
So, is seeking confirmatory information really a “bias”? Not in principle. When information is costly, the optimal strategy can involve seeking confirmation of what we already believe to be true. It minimises the expected cost of acquiring enough information to make a decision.
The so-called "confirmation bias" might actually be an efficient allocation of our attention. This doesn’t mean that there aren’t biases in gathering & interpreting information. But seeking confirmatory evidence given these beliefs isn't a proven bias in itself.
You might think, "this isn't proof that no confirmation bias exists". That's right. However, the alleged proof of this bias is that people look for confirmatory information. As this observed behaviour can credibly be an optimal strategy, the burden of proof is on the prosecution.
Key insight here: Advancements in theories on decision-making can help us understand certain "biases" better. Often behaviours, initially perceived as biases, might have sound explanations when we consider the real-world constraints we operate within.
I develop these points in this post, the second one looking at classical “biases” that are likely not biases.
The next post will be on perhaps the most famous one in behavioural economics: reference-dependence (sensitivity to gains & losses). End/ tinyurl.com/49zmusnm
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Discussions on the award of the Nobel Prize in economics to Acemoglu, Johnson, and Robinson have often focused on their empirical papers on economic growth.
A🧵 to point to the big picture: how they transformed the discipline.
It is easy, particularly for younger generations, to underestimate how transformational the AJR research program has been. Step back 25 years, and the economic discipline was still very traditional in how it viewed the economy.
The mechanisms economists could investigate to study growth were primarily the accumulation of factors of production: labour, capital, human capital, plus some not well-understood factors like technological efficiency.
What is depression, and why does it exist?
In spite of its prevalence, depression and the factors causing it are still not well understood. A 🧵on how an adaptive approach to cognition can help us gain a better understanding of depression. optimallyirrational.com/p/depression
Happy and unhappy feelings can be seen as meant to help us make good decisions.👇
However, depression is characterised by a lack of motivation to engage with the outside world and a reluctance to take action. How can this be helpful in making decisions? optimallyirrational.com/p/the-truth-ab…
To understand depression, we need to understand moods. Moods are lasting positive or negative feelings. What's the point of having moods?
@RandyNesse made the point that moods can be understood as signals for the value of the situations we are in.
Kahneman said: “The concept of loss aversion is certainly the most significant contribution of psychology to behavioral economics.”
In a new paper @kubitzg1 and I propose an explanation for it, as a feature of our cognition that helps us make good decisions.
Loss aversion is the fact that, subjectively, losing feels worse than winning feels good. The idea has been expressed throughout human history. It can be found, for instance, in Adam Smith’s Theory of Moral Sentiments:
Loss aversion is one of the three pillars of Kahneman and Tversky's Prospect Theory which posits that subjective satisfaction is relative to a reference point. Outcomes above our reference point feel like gains and outcomes below feel like losses.
Because talking to each other seems easy to us, we typically underappreciate the amazing cognitive feats we achieve in our everyday conversations. A 🧵
While computers are extremely good at tasks humans find hard, like making complex calculations, they have struggled with tasks that humans find almost trivially easy, like language. It is part of the "Moravec paradox".
Our everyday communications may seem simple, but underneath, they are shaped by deep principles of cooperation that determine what we say and how we say it.
We frequently lament the lack of quality information in the media. Yet, as consumers, we often seek not what's most accurate, but what aligns with our views. This shifts the information marketplace into a "marketplace of rationalisations". A🧵
Concerns about the media aren't new. In the 20th century, intellectuals voiced worries about corporate mass media indoctrinating and dumbing down the public in ways that favoured the status quo of the political and economic order.
With the advent of the internet, there was hope for a decentralised public sphere, rich in idea exchange. But reality diverged from this ideal marketplace of ideas. Instead, concerns have risen about people increasingly being influenced by unreliable information.
Why hasn't the Internet worked as a great public space where the best ideas win? Perhaps because it isn't how debates operate. Behind intellectual arguments, people aren't impartial thinkers; they advocate for their team.
A🧵on how coalitional thinking shapes our discussions.
Introductory example. When a Hayek citation criticising men's overconfidence was shared on a libertarian website, it was very poorly received. Ironically, the quote was from Hayek, the free-market economist. Who "said" it greatly influenced how the quote was perceived.
John Tooby--who recently passed away--and his wife Leda Cosmides, founded an influential school of evolutionary psychology. In a 2010 article, they highlighted the importance of our "coalitional psychology," that guides us in navigating ingroup cooperation & outgroup competition.