People Power – Our second behaviour change experiment

People Power - Our second behaviour change experiment

Power Crisis in India

India currently suffers from a major shortage of electricity generation capacity, though it is the world’s fourth largest energy consumer after United States, China and Russia*. A 2012 report by the IEA estimated that nearly 25 percent of the population lacks basic access to electricity, while electrified areas suffer from rolling electricity blackouts.

McKinsey reports that the residential consumption will grow at 14% over the next 10 years, requiring India to generate power five to ten fold compared to what was generated in the last 10 years, putting a huge strain on power generation in India.

While increasing power generation faces many issues, one way we can reduce the power gap is through conservation.

 

Ineffective education-based campaigns

Many educational energy conservation campaigns and messaging like ‘Keep your AC at 24°C’, ‘Switch off appliances when not in use’, ‘Save electricity, Save money’ or ‘Be a good citizen’ or ‘Save the planet’ are being tried by different organizations and people across India, but none have proved to be successful at getting people’s to reduce their electricity consumption. Educational campaigns often don’t lead to action because they rely on an outside entity that warns you of the dire consequences of your behavior or tells you what is the ideal way of behaving.  And that often makes people defensive, because we never see ourselves as the ‘bad’ people who waste electricity. Moreover several scientific studies have proven that we humans are often not aware of our own behaviour. Its like we know that we should not overeat, but we do so quite often.

 

The 6-month long experiment

So instead of relying on traditional thinking, we implemented a study (with modifications) done in California by Schultz and colleagues. We conducted our 6 month long experiment amongst 98 households across posh residential societies in Bandra-Khar, Mumbai, India. Permission of the Secretary of each residential society was taken to conduct the experiment. We collected the households’ electricity bills before they reached each member’s house. We then calculated the average bill amount in that particular society. Lets say the average was 1022 rupees. For all above average users, we put a stamp stating that the average in that society is 1022 rupees. Next to their above average amount, we put a frownie indicating that they could do better. The bills that were below average were delivered without any intervention. The households were not informed about this experiment.

 

The results of the experiment

The units consumed by the household in the month was taken as the measurement of electricity consumption. And reduction in electricity consumption was a measure of units consumed in the month compared to units consumed in the same month last year.

Over a period of 6 months, the average reduction in unit consumption by above-average users was 1.33% compared to an average increase of 6.02% in unit consumption by non-stamped users.

1.33% reduction on a national scale can power 17,465 villages for one year.

Over this period of 6 months, we found an average of 50% of above-average users (stamp intervention group) reducing their electricity consumption, compared to an average of only 39% of non-stamped users (no intervention group) reducing their electricity consumption. The base rate for above-average users was lower before the experiment began.

 

The behavioural science behind the effectiveness of People Power

Human behaviour is contagious. We often look at how others around us are behaving and act accordingly. We go along with the crowd to avoid social exclusion. Though we may not be aware of the degree to which we’re socially influenced.

In fact we people don’t see ourselves as easily influenced by those around us. If we were to ask people what would make them change, we suppose they will rank “what others are doing” last. But when we tested what really works, following the herd has proven to be very persuasive.

In the experiment, we didn’t tell anybody what to do. We just told them what people like them were doing.

And when we check out the typical electricity bill, we see that it’s a disaster of line items. So we contextualized information in a way that was motivating for people to conserve power. The information provided by the stamp let the above average users know how much their neighbors were consuming. That set the social norm and got them to reduce their power consumption.

People Power – A simple intervention that gives people the power to make a big difference at no cost.

People Power has got featured in Fast CompanyThe Times of IndiaDNA and has 1,50,000+ views on The Logical Indian.

 

Sources:

People Power is based on the study by Schultz, P. Wesley, Jessica M. Nolan, Robert B. Cialdini, Noah J. Goldstein and Vladas Griskevicius, “The Constructive, Destructive, and Reconstructive Power of Social Norms”, Psychological Science 18 (2007): 429-34

*EIA – U.S. Energy Information Administration Report updated March 18, 2013; Wall Street Journal 2 Jan 2012 and McKinsey’s report, ‘Powering India – The road to 2017’

Calculation of 1.33% on a national scale can power 17,465 villages – [Total energy (in GWh) consumed in India = 852903 (as per Govt. of India, CEA, July 2013). 1 Gwh = 10,00,000 kwh.Total energy (in kWh) consumed in India = 852903000000. Per capita consumption of energy (in kWh) in rural India (y) = 100 (Ministry of New and Renewable Energy, Govt. of India 2012 and World Energy Outlook 2011, IEA). 1.33% of Total energy (in kWh) consumed in India (x) = 11343609900. Total rural population that can be served with 1.33% of energy savings (x/y) = 113436099. Divide the result by 5 and we get number of rural households = 22687219. According to the 2011 census of India, 68.84% of Indians, around 833.1 million people live in 640,867 different villages. So average population per village comes to 1299. Divide the above result (22687219) by 1299, we get number of villages = 17,465.]

Bonus: Check out one of the most famous experiments in studying conformity under group pressure – the Solomon Ash experiment here.

Think you can predict your own behaviour – Part II

Think you can predict your own behaviour - Part II

We found this topic so interesting that we couldn’t resist a Part II. Hope you’re enjoying it too. So here goes another example which shows that intentions and attitudes are one thing, but behavior reveals something else.

It is well known that people don’t always ‘speak their minds’, and it is suspected that people don’t always ‘know their minds’. For example, if we ask a smoker “How much do you smoke?” A smoker who smokes 4 packs a day may purposely report smoking only 2 packs a day because he may be embarrassed to admit the correct number. But a smoker who smokes 4 packs a day may report smoking only 2 packs because he honestly believes he only smokes about 2 packs a day. (That’s why we never ask questions about behavior. We observe it.)

The unwilling-unable distinction is like the difference between purposely hiding something from others and unconsciously hiding something from yourself. Project Implicit makes it possible to penetrate both of these types of hiding. Renowned scientists Brian Nosek, Mahzarin Banaji and Tony Greenwald have developed a test called the Implicit Association Test (IAT).

In IATs conducted between July 2000 and May 2006 on racism, they found about 5 lakh people out of approx. 7.3 lakh that took the IAT, had an automatic preference for White people compared to Black people. Only about 1.3 lakh people were neutral in their preference and remaining 1 lakh preferred Black people compared to White people. The same people may claim they’re not racists, but their behavior suggests otherwise. Its possible people try to keep unsavory attitudes to themselves, but research suggests that people are actually successfully hiding it from themselves.

Take the test here and see the results for yourself.

When I took the race test I got a result stating – Your data suggests a slight automatic preference for Black people compared to White people. I blame it on Rihanna.

What did your test reveal?

Illustration: Janelle Penny Commissiong (born June 15, 1953), a former beauty pagent titleholder. After winning the Miss Trinidad and Tobago title, she went on to be crowned Miss Universe in 1977.

Get more work done from home

Get more work done from home

Working from home means no pressure of deciding what to wear to work, no skipping breakfast due to hurrying up, no traffic jams, no wasting fuel, no pollution, no wasting time, no wasting money, no late-punching into office, no unnecessary meetings, no pointless brainstorms, no fake smiles, no sucking up, no monkey business. On the contrary working from home means having personal space, being at ease, improved focus and concentration, better ideation and greater creativity.

Christine Durst, founder and CEO of Staffcentrix and author of two books on the subject of telework, says the benefits start with basic cost savings from travel, real estate and utilities to areas such as recruiting and retention — and, yes, productivity. (Since 1999, Staffcentrix has designed and delivered a variety of training programs for such clients as the US Department of State, Air Force, and Army).

Durst says that telework programs can reduce absenteeism and tardiness, and even curb stress-related illnesses. But the one thing she hears again and again from remote employees is that they simply get more done.

Yet very few companies encourage their employees to work from home. We understand its natural for employers and bosses to wonder if you are really working or dozing off at home. But as long as you deliver quality output in the timeframe agreed, should it matter?

However like any other change, it’s going to be met with resistance by your company. So in order to lower the resistance, we think companies could do with 3 helpful interventions. One, companies need to have a clear formal policy on remote working, so that all employees know what’s appropriate and what’s not. Two, they need to provide employees with proper tools for remote working (laptop, internet connection & mobile) not just to ensure smooth work, but also so that managers can communicate with employees in a variety of ways and three; they could start a pilot by choosing result-driven individuals with good communication skills (and perhaps no kids), working remotely for 1 day per week and test it, rather than rely on conventional ways of decision-making i.e. over-analyzing whether it’s a good idea or not and not testing it.

Do also read Richard Branson’s take on it here.

Fairness is interpreted differently around the world – Part II

Fairness is interpreted differently around the world - Part II

Here’s the second in the series on how fairness is interpreted differently by people around the world.

Joseph Henrich conducted a money-splitting experiment amongst UCLA students. He decided to use $160 for the experiment, which translated to 2.3 days worth of work. The rules – a student was given the money and was supposed to share a part with another undisclosed untraceable student. But if this student rejected the offer, both would walk away with nothing.

The most common split offered by students to another was 50/50, which the receiving partner always accepted. The participants said, “If I offered less than half, my partner wouldn’t accept the offer.” When asked if the recipients would accept an 80/20 offer – all of the partners scoffed, “that would be unfair”.

Then Henrich took the experiment to one of the most remote places on earth in the Peruvian Amazon – the Machiguenga tribe – that live in small villages, each family being self-sufficient, making its own tools and gathering its own food. Using a sum of 20 Peruvian soles that came to 2.3 days worth of work, Henrich conducted the same money-splitting experiment.

The Machiguenga participants offered incredibly low sums to their partners. Most offered an 85/15 split favoring the person making the offer. And the partners nearly always accepted them. Explained Henrich, “Several individuals made it clear they would accept any money, regardless of how much the proposer (splitter) was getting. They seemed to feel it was just bad luck that they were responders and not proposers.”

Some tribe members did offer 50/50 and when Henrich interviewed them he found out each one of these people had spent considerable time living among modern Westerners and felt that 50/50 split was the fair thing to do.

In the Amazon jungle it’s finders keepers, unlike US, Japan, Indonesia or Israel for that matter. It will be fascinating to conduct this experiment in different parts of India to find out what Indians from different states, castes and cultures deem fair.

Source: Does culture matter in economic behavior? Ultimate game bargaining among the Machiguenga of the Peruvian Amazon – Amercian Economic Review 90 (2000): 973-79.

 

Fairness is interpreted differently around the world

Fairness is interpreted differently around the world

Indian audiences of Kaun Banega Krorepati (Who Wants To Be A Millionaire) almost always help out contestants whenever contestants use the ‘ask the audience’ lifeline, regardless of his/her apparent abilities or background. As per our observation the answer is mostly correct and only sometimes wrong. And since we’ve been born and brought up in India, we could safely say that the intention is almost always there to help the contestant win.

Americans too help out contestants, when they use the ‘ask the audience’ lifeline. In fact using this lifeline results in the correct answer more than 90% of the time.

Here’s the fun part. In one of the game shows of the French version of Who Wants To Be A Millionaire, a contestant named Henri was faced with the question – What revolves around the earth? A. Moon B. Sun C. Mars D. Venus. Henri opted for the ‘ask the audience’ lifeline. No one voted for Venus, 2% voted for Mars, 42% voted for Moon and the biggest chunk 56% voted for Sun. Was the audience ignorant? What do you say French friends? Say Ori and Rom Brafman, authors of Sway, “the French audience deliberately chose the wrong answer because it didn’t seem fair to them for Henri to progress in the game with their help, when he couldn’t even answer such an easy question.”

Russian audiences often give the wrong answers. And deliberately mislead both smart and less smart contestants alike. So much so that the contestants learned to be wary of the ‘ask the audience’ lifeline. Geoffrey Hosking, an expert in Russian history and faculty of UCL says, “Before the twentieth century peasant communities in Russia grew up expecting to lend one another a hand. In the industrial days, people brought the old country ways to the city. But the same interdependent community could also turn against you if you stood out or were seen as different. People who departed from the norm were regarded as misfits. Very poor were considered a burden on the rest of the community. Very rich were regarded to have made money by dubious means. From this perspective Russian audiences see contestants trying to get rich on the backs of the audience members. So they feel that they should not contribute to such unfair behavior.”

Behavioural Design talk at TEDxGateway, Mumbai

Behavioural Design talk at TEDxGateway

Friends, I’m speaking at TEDxGateway on Bleep and Behavioural Design.

There are lots of interesting speakers lined up. So come over to NCPA, Mumbai on 8th Dec 2013 to listen and discuss some stimulating ideas and thinking that could change the way you view the world.

All the information is here – www.tedxgateway.com.

Hope to see some of you there.

Get over your fear of making a mistake

Get over your fear of making a mistake

Remember making a mistake at work or at home and the feeling attached with it. The word ‘mistake’ itself scares most of us. And that’s because unfortunately right from our childhood our focus has been on being smart, rather than putting our best effort. As a result we’ve learned to see mistakes as stupidity rather than building blocks of knowledge. However reality is just the opposite.

In her famous experiment in New York city schools, Carol Dweck, a psychologist at Stanford, gave more than four hundred 5th standard students a relatively easy nonverbal puzzle. Post test, researchers revealed the scores to the students and praised them. Half the students were praised for their intelligence. The researcher said, “You must be smart at this”. Other half were praised for their effort. “You must have worked really hard.”

Then the students were allowed to choose from two different subsequent tests. The first one was described as more difficult. The students were told that they would learn a lot from it. The other option was easy, like the previous test. Of the group that were praised for effort, 90% chose the harder test. Amongst the group that was praised for intelligence, most chose the easy test.

This fear of failing actually inhibits learning, as seen by his next set of experiments. She gave all the students an even harder test, originally written for 8th standard students. Kids praised for effort, got very involved. Many remarked, “This is my favorite test.” Kids praised for intelligence, were easily discouraged. Mistakes were seen as a sign of failure. After the test, students had to choose between looking at the papers of those who did worse than them or better than them. Kids praised for intelligence, almost always chose to bolster their self-esteem by comparing themselves to those who did worse. Kids praised for effort were more interested in those who scored more than them. They wanted to understand their mistakes, learn from their errors and figure how to do better.

In the third final round of testing with the same level of ease as the initial test, kids praised for effort raised their average score by 30%, while the smart group’s average score dropped by 20%. Praised for effort kids were willing to challenge themselves, even it meant failing at first, ending up performing at a much higher level. While for praised for intelligence kids, the experience of failure was discouraging that they regressed.

Jonah Lehrer, editor, blogger and author says, “This doesn’t apply to only 5th standard students, but to everyone. Unless you experience unpleasant symptoms of being wrong, your brain will never revise its models. Before your neurons can succeed, they must repeated fail. There are no shortcuts for this painstaking process.”

We believe that’s how intuition gets developed amongst experts. Hours and hours of practice and lots of mistakes corrected. Any guess who in the Indian cricket team spends more time in the nets than the rest?

A way of boarding that saves time and lowers blood pressure

A new way of boarding that saves time and lowers blood pressure

Warning: This post is the longest we’ve ever written, but we think you are likely to find it rewarding.

There are long queues at boarding no matter which airline you travel by. And once inside the plane, we’re often waiting in line once again for someone in front us whose is trying to keep his/her cabin luggage overhead. Imagine the time that gets wasted for you and the airline. In this industry, more than any, time is money. The quicker the airline can board, the more it will be on-time, the more satisfied will be its customers, the more money it can make. But how can this be made possible?

Southwest Airlines in the US has a unique solution to this problem. Southwest doesn’t have seat assignments. Here’s how it works:

In airlines that assign seat numbers, when you’re trying to get to your seat, you’re not only waiting for someone to find their seat, you’re also waiting for them to put their bag in the overhead bin. So if you’re assigned to say, Seat 26A, you must wait until Seat 22C puts his/her bag in the overhead compartment.

But if you’re on Southwest Airlines, the procedure and behaviour of passengers is completely different.

So let’s say you’re flying on Southwest with a carry-on bag. You’re anxious about getting a window seat and making sure your bag gets in the compartment, so you check-in online 24 hours beforehand (the beginning of the check-in window), and are placed in boarding group A. Group A gets to board first.

Southwest keeps in mind that most people don’t care if they sit in row 10 or row 25, but they are likely to have a strong opinion about having a window or an aisle seat.

Fast forward to the airport. You arrive and get into the queue for group A, confident that there is a very good chance that you’ll get the seat you want and overhead space.

Now you’re walking onto the plane and suggested to move towards the further rows. The person in front of you has a bag and spots an aisle seat in row 25, and stops to put their bag in the bin. You’re a window person, and see one in row 21. The person behind you also wants a window, and stops at row 18. Notice what happened here: no one was held up because of the person in front of them. You all sit down, and the process repeats.

The boarding process becomes similar to a conventional boarding process as the seats fill up – if you’re in Group C (last to board) and say there’s only one window seat left and it’s at the very back of the plane, you have to wait 20 seconds for the person in front of you to claim their aisle seat at the front.

Compare this to a conventional boarding process: not only would you have had to wait for Seat 21C to put his bag in the compartment, Seats 21 A, B and D have to fight with their bags, and the other seats’ bags in order to fit their bags in. Multiply this by 30 rows, and you can see how this adds time to the boarding process.

What Southwest has done is eliminate that 20-to-30 second delay for 80% of passengers and instead limited it to, say, the 30% of passengers at the end of Group C. These passenger-to-seat delays add up quickly; and with roughly 130 seats each at 20 seconds each, that’s potentially 43 minutes of delays during seating! This, among other reasons, means that Southwest can turn around their planes in about 25 minutes, the fastest of any airline.

And not to forget, lower your BP. Travelers who are the most anxious about getting their preferred seat and their bag in the bin are more likely to check-in at the first second, earning them a coveted spot in Group A. But people in group B know there is, say, a 50% chance they’ll get a good seat and space in the overhead bin. Group C knows their chances are slim of getting either. The point here is that everyone has a rough idea of their probabilities and also that the probability is the direct result of their own actions, i.e., how quickly they checked in.

And the best thing I like about this way of boarding: I’ll never be seated in the wrong seat!

Big thanks to Michele Walk, Operations Manager at Engage for the information.

Brainstorms actually stifle creativity

Brainstorms actually stifle creativity

Back in 1940s, advertising executive Alex Osborn argued that it was possible to enhance creativity by putting a group of people in a room and have them follow a simple set of rules, like coming up with as many thoughts as possible, encouraging wild and exaggerated ideas, not criticizing or evaluating anyone’s comments. Not surprisingly it became a hit. Over the years, organizations around the world have encouraged their employees to tackle key problems using this approach, commonly known as brainstorming.

But the scientists aren’t convinced. (Nor am I). Brian Mullen from the University of Kent at Canterbury and his colleagues analyzed twenty studies that tested efficacy of group brainstorming and discovered that in the vast majority of experiments, participants working on their own produced a higher quantity and quality of ideas than those working in groups.

The reason, group brainstorming fails, is because of a phenomenon called ‘social loafing’. Simply put it is diffusion of responsibility. When people work on their own, their success or failure is entirely due to their own abilities and hard work. If they do well, the glory is theirs. If they fail, they carry the can. However, add people to the situation and everyone stops trying so hard, safe in the knowledge that, though they will not receive personal praise if the group does well, they can always blame others if it performs badly.

Years of brainstorming may have inadvertently been stifling, not stimulating, creative juices. So have faith in yourself, work alone, regroup to discuss your ideas with your team and kick ass.

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