1) This document provides a summary of the latest issue of "O Behave!", a newsletter about behavioral science research.
2) It discusses recent studies on friendship perceptions and influence, loss aversion in Donald Trump's campaign, and how describing attitudes as morality-based makes them stronger and less changeable.
3) Brief summaries are also given of new behavioral insights from Uber on surge pricing and "eureka moments" being more likely to provide correct answers to puzzles.
Behavioral economics : what it is and how it could help us do our job betterDigitasLBi Paris
From forms to porn banners, how behavioral economics can optimize user experience?
by DigitasLBi strategic planning
Des formulaires aux bannières porno: comment l'économie comportementale peut optimiser l'exp. utilisateur - par les planneurs de DigitasLBi
A review of the behavioral economics concept of the paradox of choice where some choice is good, but too much choice creates paralysis and dissatisfaction
Invitational Conference on Behavioral Science WRR, Netspar (Network for Studies on Pensions, Aging and Retirement), TIBER (Tilburg Institute for Behavioral Economics Research) and the Ministry of Finance
Behavioral economics : what it is and how it could help us do our job betterDigitasLBi Paris
From forms to porn banners, how behavioral economics can optimize user experience?
by DigitasLBi strategic planning
Des formulaires aux bannières porno: comment l'économie comportementale peut optimiser l'exp. utilisateur - par les planneurs de DigitasLBi
A review of the behavioral economics concept of the paradox of choice where some choice is good, but too much choice creates paralysis and dissatisfaction
Invitational Conference on Behavioral Science WRR, Netspar (Network for Studies on Pensions, Aging and Retirement), TIBER (Tilburg Institute for Behavioral Economics Research) and the Ministry of Finance
Racial Bias, Even When We Have Good Intentions Sendhil M.docxaudeleypearl
Racial Bias, Even When We Have Good Intentions
Sendhil Mullainathan
JAN. 3, 2015
The deaths of African-Americans at the hands of the police in Ferguson, Mo., in Cleveland and
on Staten Island have reignited a debate about race. Some argue that these events are isolated and
that racism is a thing of the past. Others contend that they are merely the tip of the iceberg,
highlighting that skin color still has a huge effect on how people are treated.
Arguments about race are often heated and anecdotal. As a social scientist, I naturally turn to
empirical research for answers. As it turns out, an impressive body of research spanning decades
addresses just these issues — and leads to some uncomfortable conclusions and makes us look at
this debate from a different angle.
The central challenge of such research is isolating the effect of race from other factors. For
example, we know African-Americans earn less income, on average, than whites. Maybe that is
evidence that employers discriminate against them. But maybe not. We also know African-
Americans tend to be stuck in neighborhoods with worse schools, and perhaps that — and not
race directly — explains the wage gap. If so, perhaps policy should focus on place rather than
race, as some argue.
But we can isolate the effect of race to some degree. A study I conducted in 2003 with Marianne
Bertrand, an economist at the University of Chicago, illustrates how. We mailed thousands of
résumés to employers with job openings and measured which ones were selected for callbacks
for interviews. But before sending them, we randomly used stereotypically African-American
names (such as “Jamal”) on some and stereotypically white names (like “Brendan”) on others.
The same résumé was roughly 50 percent more likely to result in callback for an interview if it
had a “white” name. Because the résumés were statistically identical, any differences in
outcomes could be attributed only to the factor we manipulated: the names.
Other studies have also examined race and employment. In a 2009 study, Devah Pager, Bruce
Western and Bart Bonikowski, all now sociologists at Harvard, sent actual people to apply for
low-wage jobs. They were given identical résumés and similar interview training. Their sobering
finding was that African-American applicants with no criminal record were offered jobs at a rate
as low as white applicants who had criminal records.
These kinds of methods have been used in a variety of research, especially in the last 20 years.
Here are just some of the general findings:
■ When doctors were shown patient histories and asked to make judgments about heart disease,
they were much less likely to recommend cardiac catheterization (a helpful procedure) to black
patients — even when their medical files were statistically identical to those of white patients.
■ When whites and blacks were sent to bargain for a used car, blacks were offered ...
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
2. A Note from the Authors 3
Bias of the Month 4
Keep Your Frenemies Close 5
The New Uber Guru of Behavioural Science 6
The Moral Imperative 7
Eureka! You’re Probably Right 8
Real Life Nudge of the Month 9
Upcoming Events 9
CONTENTS
3. A NOTE FROM THE AUTHORS
Two years ago, we started O Behave! as a way to
keep the Ogilvy Change team up to date with the
latest research in cognitive and social psychology and
behavioural economics. When we decided to send our
roundup of recently-published research papers to our
community, we were overwhelmed with the support
and positive feedback we received.
Sadly, this is the last issue the two of us will be writing,
but there is much more to look forward to from our
Ogilvy Change colleagues, including a podcast live
from Nudgestock.
Thank you for reading and farewell!
Cíosa and Juliet
4. KEEP YOUR FRENEMIES CLOSE
As a species, we tend to be overconfident about our own talents and abilities. We’ve all been amused by stats that 95% of
people think they are better drivers than average, probably while thinking of someone we know – but never, of course,
ourselves. New research from the Media Lab at MIT has even more damning consequences for our overenthusiastic egos:
only about half of your friends like you as much as you like them. Taking a group of undergraduate students, Almaatouq,
Radaelli, Pentland and Schmueli (2016) asked each participant to rate everyone else in the group on a scale from 0
(strangers) to 5 (best friends). The results of this survey found that only around 50% of friendships were reciprocal. Even
more distressingly, the authors ruled out the possibility that these results were caused by a few socially awkward outliers,
rating everyone as friends or not, regardless of their actual relationship. Analysis at the individual level revealed the data
was normally distributed, with a mean of 0.5. Worse still, participants predicted that the relationship was reciprocal (that the
participant in question would say the same) 94% of the time. Yikes.
Almaatouq, A., Radaelli, L., Pentland, A., & Shmueli, E. (2016). Are You Your Friends’ Friend? Poor Perception of Friendship Ties Limits the Ability to Promote Behavioral
Change. PLoS ONE,11 (3).
Aside from being soul-destroying, these findings can have
important implications for behaviour change interventions that
rely on interpersonal relationships. The power of social norms
has been demonstrated repeatedly in a variety of settings; for
example, one study found teenagers were 1000% more likely to
start smoking when two or more of their friends smoked,
compared with only 26% more likely if their parents did. Nicholas
Christakis has demonstrated that a wide range of behaviours are
transmitted through social networks, from weight gain to voting
habits. This study casts doubt on the real power of people who
are recruited in research and campaigns as ‘influencers’: their
social circle could be half the size they believe it to be, and their
influence even less. There is also evidence to suggest that the
direction of the friendship is important; you are much more likely
to be influenced by someone you consider a friend than someone
who considers you one. This is important to take into account
when using social influence in a campaign – and perhaps when
sending your Christmas cards.
5. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47 (2), 263-291.
BIAS OF THE MONTH
Loss Aversion
One of the central tenets of behavioural economics, as posited in Kahneman and
Tversky’s Nobel prize winning prospect theory, is loss aversion: we are more
driven to avoid loss than to pursue gain. In fact, we find losses twice as painful as
we find gain pleasurable.
While this classic behavioural science principle is nothing new, the way it is
currently being applied by a certain businessman-turned-politician could have huge
ramifications for the entire world, should he be elected. Donald Trump’s campaign
has emphasised loss over all else – loss of jobs, loss of control, loss of America’s
once-great status. This is unusual for a political campaign: think of Obama’s ‘Hope’
poster of 2008, which is a much more common tactic. The negativity of Trump’s
campaign may be responsible for its unexpected success. For example, 70% of
Trump voters polled said they were very worried about the state of the economy,
compared with only 45% of Democrat voters. People evaluate their situation
relative to a reference point, and for many Trump supporters, this reference point is
a time – real or imagined – when their lives were better.
Choosing a risky candidate like Trump is also consistent with risk-seeking
behaviour associated with avoiding losses. Though people tend to be risk averse
when considering gains, the threat of losses leads people to select risky options in
an attempt to minimise them. For example, when given the choice between losing
£500 and a 50% chance to lose £1000 (or nothing at all), most people choose the
gamble. Trump represents a similar gamble in the minds of voters, who could see
him as their one chance to make America great again.
6. THE NEW UBER GURU OF BEHAVIOURAL SCIENCE
The beauty of Uber is that there is never one too far away when you need it, no matter what the time; whether you’re coming
out of a busy nightclub in central London on a Saturday night, or on a Sunday morning when everyone else is in bed. But
how does Uber ensure that when there is high demand, there is also high supply? How do they incentivise lots of drivers to
come out and work when there is high demand? The answer is surge pricing: Uber charge more when demand is high,
therefore incentivising all the drivers to come out and work. This makes perfect sense from a purely economic viewpoint and
benefits the drivers, but there are two groups Uber need to incentivise in order for their business to work: the driver who
benefits from surge pricing, and the passenger who might be put off by it.
The idea of unfairness triggers a strong negative emotional reaction in people (and monkeys, suggesting there is an
evolutionary component to this response) which all businesses need to be wary of. If customers feel like a company is
treating them at all unjustly, they can lose that customer within a millisecond, which is exactly what the new behavioural
scientist at Uber Keith Chen has found.
Interview: Hidden Brain May 2016
Looking at user data, Chen found a significant round number effect:
“When the surge moves from 1.9 times the normal fare to 2.0, you
see six times larger drop in demand than you saw from going from
1.8 to 1.9. The amount more that you’re paying for the trip is the
same between those two steps, but 2.0 just feels viscerally larger
to people.” The data has also revealed that people are more likely to
order an Uber when it is 2.1 times the rate than 2.0. Yes, you have
read that correctly: people would rather pay more for an Uber than
accept a round number surge charge. It has been hypothesised that
the reason people are more accepting of a specific surge charge
rather than a round number is due to fairness. A specific non-round
number signals that there must be a reason for it; algorithm must be
set up to come up with that price and it is therefore somewhat
justified. A round number, on the other hand, feels like someone just
pulled it out of the air, which ignites a feeling of unfairness and is
therefore something people don’t want to support.
7. THE MORAL IMPERATIVE
We all have opinions and beliefs but these are not stable, which is why advertisers, politicians and so on put a lot of effort
into trying to sustain or change them. There has been a plethora of research on how to change an attitude or belief, but
much less on how to sustain them. A new study released this month from Ohio State University has in fact found a way to
strengthen an attitude: by simply telling people it is based on morality. This research found that telling people that their
attitudes and beliefs were based on morality made them stronger and more resistant to counterarguments.
Luttrell, Petty, Brinol and Wagner’s (2016) first experiment involved 183 college students reading an essay favouring the
adoption of a senior exam policy at their university, which they were asked to share their thoughts on. The researchers told
the students that the opinion they expressed was either based on morality, tradition or equality. Participants were then
asked to rate how willing they were to sign a petition in favour of an exam policy and state which way they would vote on the
issue. When looking at the actual behaviour the partipants engaged in, those who were told that their attitude toward the
exam policy was based on morality were more likely to act accordingly than the students who were told their attitude was
based on tradition or equality.
Luttrell, A., Petty, R. E., Briñol, P., & Wagner, B. C. (2016). Making it moral: Merely labeling an attitude as moral increases its strength. Journal of Experimental Social
Psychology, 65, 82-93.
The second and third experiments sought to discover how susceptible
people’s attitudes were to change, in this case in relation to recycling.
Participants read a passage about this topic, mostly giving positive
views afterwards. Again researchers told them their attitude was based
on morality or the practicality of recycling. The participants were then
asked to read a short piece with persuasive arguments against
recycling and again report their attitude. The researchers found that
those who were told their attitude was based on morality were less
likely to change their minds than those who were told their opinion was
due to practicality. These studies show that people are more likely to
act upon their attitudes and less likely to change their attitude when
surrounded by persuasive counterarguments when they think their
opinion is based on morality. This is an important finding that
advertisers and politicians should take on board if public attitude
favours them and they want them to act upon it.
8. EUREKA! YOU’RE PROBABLY RIGHT
“Eureka!” is the exclamation made by Archimedes after stepping into a bath, and realising the water displaced must be
equal to the volume of his submerged limbs; a discovery which allegedly led him to leap out of the tub and run through
Syracuse, still naked. We’re all familiar with the eureka moment – when a sudden flash of inspiration hits us, often while
we’re doing something completely different – although far fewer of us can claim this has led to streaking in the streets.
New research by Salvi, Bricolo, Kounios, Bowden and Beeman (2016) has explored these aha! moments to determine
whether or not they are trustworthy. Participants were given a series of puzzles to complete under time pressure, and
asked whether they had been solved using a rational methodology or if inspiration had suddenly come to them. These
puzzles were both linguistic and visual, including tasks like finding a connecting word for a series of others, such as “pine”,
“crab” and “sauce” (the answer is “apple”, by the way). For these types of linguistic puzzles, they found that aha! answers
were correct 94% of the time, whereas the rational approach was correct only 78% of the time.
Salvi, C., Bricolo, E., Franconeri, S. L., Kounios, J., & Beeman, M. (2016). Sudden insight is associated with shutting out visual inputs. Psychonomic Bulletin & Review, 1-6
The time pressure also had an interesting effect on their results. As you may
expect, the proportion of incorrect answers increased in the last five
seconds, as people reacted to their impending deadline. However, there
was a marked difference between the two schools of thought: people relying
on these instinctive answers were more likely to miss the deadline, waiting
for inspiration (and the correct answer) to arrive, while the rational thinkers
adhered to the timings but were more likely to submit an incorrect answer.
For those looking for creative solutions to business problems, this could
have important consequences. It could be that hard deadlines receive less
intuitive answers that may be less likely to be effective, and perhaps soft
deadlines are often better to allow for creative thinking. However, there are
limitations of the study: there is a defined right or wrong answer in these
puzzles, which is rarely, if ever, the case in business. There is also still no
understanding of how the eureka moment operates, and if there is any way
to harness or speed up this effect. But at least, for the most part, we don’t
have to worry about people running around in the buff as a result.
9. Spotted: Unintended Consequence of Social Norms
REAL LIFE NUDGE OF THE MONTH
UPCOMING EVENTS
Behavioural Exchange 2016
Monday 6th – Tuesday 7th June
Harvard University
Behavioural Boozeonomics with the London Behavioural Economics Network
Monday 13th June, 6.30pm
The Comedy Pub, Piccadilly
Nudgestock 2016
Friday June 10th, 10.00am – 6.00pm
Folkstone, Kent
We are all social creatures and look to others’ behaviour to
guide our own. Although we like to think we are independent, in
reality we follow the actions of other people. For this reason,
highlighting what behaviour other people engage in (social
norms) can be a powerful tool to get others to engage in this
behaviour. Because norms can be so powerful, we need to be
careful how we use them. Jeremy Corbyn has illustrated how
not to use them on Twitter. Giving the high number of people
between 18-24 that have not registered to vote for the EU
referendum will not have the effect he presumably intended.
Instead of encouraging people to register, people are more
likely think, “Oh, a significant number of people like me haven't
registered, it must not be that important – I won’t bother either.”