Most company policies are written for a hypothetical, 'best-case' employee: rational, attentive, well-rested, and operating in a low-pressure environment. They assume employees will read the rules carefully, remember them, and apply them consistently at the point of purchase. As appealing as this assumption may be, it bears little resemblance to how real workplaces operate.
You're scrolling through an online retailer, like Amazon, Shein or eBay, and spot a shirt on sale for $40. You add it to your cart, but at checkout, a $10 shipping fee suddenly appears. Frustrated, you close the tab. But what if that same shirt was priced at $50 with free shipping? The likelihood that you would have bought it without a second thought is much higher.
When a transaction involves a cost, we instinctively weigh the downside. But when something is entirely free, we experience a positive emotion and perceive the offer as more valuable than it is mathematically. Retailers no doubt realise that offering free delivery is one of the most effective ways to stop a consumer from abandoning a digital shopping cart.
Behavioral economics applies economic modeling to resources other than money. Economic modeling is a way of tracking and predicting changes in the distribution of anything we value-the give and take, ebbs and flows, supplies and demands, cooperations and competitions over any limited resource that people desire. For example, attention. People want it. There's a limited supply. "Attentionomics" is big business these days, tracking the supply of and demand for attention.
It found that the buying process in Ireland is marked by auctions that induce overbidding. There is also widespread misunderstanding among homebuyers of rights and responsibilities, and increasing delays after sales are agreed, according to the ESRI research. The study, which was funded by the Competition and Consumer Protection Commission (CCPC), draws on a nationally representative survey of 800 adults. The ESRI's Behavioural Research Unit carried out an auction experiment to test how bidding behaviour changes when people face different bidding systems.
Remember that Friday night when your friends were heading to the crowded bar downtown, and you chose to stay home with your crossword puzzle instead? I've been there. Actually, I'm there most weekends. While everyone else was posting stories from packed restaurants and noisy clubs, I was curled up with a book about behavioral economics, completely absorbed and perfectly content.
Ever found yourself staring at flight prices, watching them jump around like a nervous cat? Last month, I was booking a trip to Prague (one of those cities where you can practically taste the history in the cobblestone streets), and I noticed something odd. The same flight I'd been tracking for days suddenly dropped by nearly £80 when I checked it on a Tuesday afternoon.
Ramit Sethi, author of I Will Teach You to Be Rich and host of the Netflix series How to Get Rich, has built a following around one central claim: automation beats budgeting. His approach centers on setting up automatic transfers for bills, savings, and investments rather than manually tracking every dollar. The advice resonates because it simplifies money management and removes the emotional burden of constant decision-making.
California's proposed wealth tax is coming in for a lot of criticism these days. From Gov. Gavin Newsom, who counts many billionaires as friends and donors and yet was raised by a single mother juggling three jobs, to Anduril founder Palmer Luckey's vociferous objections, to the Google guys Larry Page and Sergey Brin voting with their feet, much of the Golden State's ultrawealthy is objecting to this policy. But what if the policy wouldn't even work that well, once implemented?
"It is a huge honor and responsibility to be named co-editor-in-chief for our flagship journal, Implementation Science," Beidas said. "Our journal was founded in 2006 by Martin Eccles and Brian Mittman, two giants in the field. I was just getting started in my professional journey at that time, and publishing in that journal was aspirational for me."
It is a curious pattern in human behavior. We trade our time, energy, and even our long-term health for money, yet once we finally accumulate it, many of us do everything possible to avoid spending it. People often cling to their savings long past the point when that money could meaningfully improve their quality of life. Behavioral economists note that this reluctance is rooted in loss aversion, the tendency to fear losing money more than we enjoy gaining it.
Back in the 1980s, a young economist and future Nobel winner named Richard Thaler began writing a series of columns that challenged the dominant doctrine of his field. At the time, most of the economics profession was smitten with a cartoonish picture of human behavior. A depiction of humans as selfish, smart, calculating, and self-controlled creatures who optimally choose what's best for themselves. It had become a bedrock of the mathematical models economists used to describe and sometimes glorify the free market.
In the 70s and the 80s, you had this early explosion of behavioral economics led by people like Daniel Kahneman, Richard Thaler. And then 20 years ago was the Freakonomics phenomenon. So you had Steven Levitt, an economist, and Stephen Dubner, a journalist, who wrote a book that popularized all of this thinking that attempted to show the hidden side of everything, what truly motivates us as economic actors. And the field took off behind this basic tagline that conventional wisdom is wrong.
Everyone out there, raise your hands if you're swimming in free time! Anyone? This would likely be the appropriate moment to cue the proverbial crickets and then, for a number of you, probably chortles at the notion of having oodles of free time. That's why these days, a number of businesses will take tasks off your hands if you choose, freeing up your time in the process.
When faced with a difficult problem - and how to spend money in a way that will improve your life certainly is - it can help to work backward, reducing and excluding what doesn't work until what's left over is a decent approximation of favorable traits. Evolution works in similar ways, so thoroughly destroying what doesn't work that what's left over tends to work quite well.
Economists have some great tools for doing so, but Thaler got the field to appreciate that human beings, as impressive as we are in many ways, are subject to certain limitations that psychologists know a lot about. Those limitations, such as myopia, sloth and a fear of loss that exceeds the love of gains, have to be taken into account if we're going to truly understand economic decisions.
