Why I will still read Thinking Fast & Slow again and again and why I trust Prof Dan Ariely.

Why I will still read Thinking Fast & Slow again and again and why I trust Prof Dan Ariely.

I always think it's fascinating to see how behavioural scientists, just like everyone else, are as susceptible to their own mental shortcuts and subconscious biases.

Recent events and conversations, such as videos telling people to stop reading the lifelong works of a Nobel prize winning academic or commentators questioning the ethics of one of the most humble of behavioural scientists, have fizzed across the social media communities in the last few weeks.

I've been fortunate to have been working in behavioural science for quite a while now and over that time, I've been fortunate to meet both Professor Kahneman and Professor Dan Ariely.

I met Professor Kahneman, when he was on his book tour for TFAS, as we were hosting one of the UK launch events for the book with #ogilvychange (as it was called then).

I also met Professor Ariely in pre-pandemic times over a quick breakfast, as he was in town for a School of Life event and we had a great chat over a coffee.

From my experiences, you couldn't meet more humbler Professors who showed the utmost humility and a keen interest to listen to the work we were doing.

One of my favourite and well used pieces of work from Professor Ariely, is a paper he and the team produced around Trust.

https://people.duke.edu/~dandan/webfiles/PapersOther/DialogueCoverlet.ariely.pdf

One of the principles he describes is The Long Game. I particularly like this piece

"we are much more trusting when we think our interactions will extend for a longer period of time. In each interaction, each partner has the opportunity to prove, over and over again, through productive interactions, that they can be trusted to cooperate, and in the process each builds a good reputation for trustworthiness."

From what I've read, observed, experienced in my behavioural science career, I'm very certain that I can trust the leaders in our field and that all of their work is rooted in the best intention, to progress the science and help us all progress our careers.

For sure, old work is made better by new work, most of the time.

I think I get the debate.

I just wish that those nay sayers and commentators would spend less time acting in the moment and in ways that make them feel good about themselves - to make a quick click.

And instead, would lay out an agenda for how they themselves are going to progress the behavioural science field in their own work. And make an impact. Over time. Again and again.

For sure, it's a lot harder to be a scientific practitioner rather than a commentator or an agitator.

But I guess that's the point.

We're all susceptible. But we know that...



Hannah Lewis

Chief Nudger at Behave.London & Brainbay.io. I make things better.

1 年

I recently re-crunched some data of my own using Ai (to gather sentiment analysis, just out of curiosity) and compared it to that which was originally hand-coded by a human, and I can tell you it shifted the results massively. And this was a ginormous data set. So many of the academic behavioural studies use such small sample sizes the margins of errror are ridiculous, not to mention experiment design and deployment can’t be perfect, because…humans. As a practitioner and not an academic I do often rely on others’ superior data skills to get to the truth. However, as an ex finance bod I’ve often picked up data errors because the data goes against the grain of what I was expecting. It “felt wrong”. Now, if the data had aligned with my expectations I probably wouldn’t have spotted it. So someone needs to do a study on that ??

Mark Cross

Director at Chartroom- Transformation and Texture AI - Deeper Learning

3 年

Nice observation Jez. Thinking Fast and Slow is the summation of a truly exceptional body of a lifetime’s work. Incredible. Without question the most significant business book I have read,…and yet people in the very disipline it helped found find it fashionable to detract either its significance or acknowledge that most people don’t complete it! More time thinking slowly required by all in business and society…

Prakash Sharma

Behavioural Science & Context Architecture ? | Co-Founder @ 1001 Stories | President @ Diversifi Global

3 年

What's going on with the #replicationcrisis, news about #DanAriely, Applied vs Academic, Corporate vs Developement and the future of #behaviouralscience? The discussion continues in depth at the #behsciclub with guests: Jez Groom, CEO of Cowry Consulting and Pavan Mamidi, Director Centre for Social and Behaviour Change. ** Very limited seats!!! ** ????????????Zoom @ (?https://lnkd.in/e8b2A9a?) ????????? Saturday, 4th Sep, 8.30 PM IST | 4 PM BST | 10 AM CT ?????? ???????????? ????????? Development professionals and researchers, Students, Marketers, Brand Managers, Advertising professionals, Entrepreneurs, Aspiring Leaders, Behavioural Scientists / Enthusiasts Link to the Beh Sci Club for those who want to join as members =>?https://www.dhirubhai.net/groups/13871707/

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