πŸ’Ž Interesting reframing of how much Spotify pay musicians

If we take the UK’s most listened-to radio show- BBC Radio 2’s Breakfast Show – then the songwriter can expect the Performing Right Society for Music expect Phonographic Performance Limited (PPL) to collect roughly Β£60. Stare at a royalty statement which lists Β£150 for a spin alongside Β£0.005 for a stream and you can understand the fear of letting go of the old wine.

But the economics don’t support that fear. A ‘spin’ on BBC Radio 2’s Breakfast Show will reach 8 million people; you need therefore to divide the Β£150 by the 8 million pairs of ears to get a comparative unit value per listener, and this results in Β£0.00002 – which is less than half a percent of the Β£ 0.005 that you would get from one unique person on a streaming service. What’s more, this is not an either/or comparison as those who listen to it on the radio may be more inclined to stream it on Spotify. To bring this calculation full circle, had those 8 million listeners streamed the song on Spotify (which is not beyond the realms of possibility), a cheque of Β£40,000 would be paid across to the artist and songwriter – not Β£150.Β  ‘Not too shabby’ as some Americans like to say.

Excerpt from: Tarzan Economics: Eight Principles for Pivoting through Disruption by Will Page

πŸ’Ž The power of reframing costs in a B2B context

In the same way, in the early stages of a food delivery brand (now worth over Β£1bn), the proposal was to pay the restaurant directly for each meal it supplied and then to invoice them monthly for the commission on the month’s past sales. A marketing thinker pointed out that this was a mistake. “We should keep the money from each meal sold, deduct commission, and then send them a payment every month”. He or she understood that, if the restaurant saw the new business as a source of incremental revenue they would value it; if they saw it primarily as a cost, they would look for ways to avoid it. Again, in economic terms, there is no difference between the first proposal and the second, but the psychological effect on the business will be dramatically different.

Excerpt from: The Objectivity Trap by Rory Sutherland

πŸ’Ž On how anchors influence us (even when they bear no relationship to the estimated value)

Surprisingly, anchors influence us even when they bear no relationship to the estimated value, and even when they’re patently absurd. Following the seminal experiments of Kahneman and Tversky in the 1970s, two German researchers named Thomas Mussweiler and Fritz Strack demonstrated this effect with remarkable creativity. In one of their experiments, they divided their subjects into two groups, asking one group whether Mahatma Gandhi was over or under 140 years old when he died, and the other whether he was over or under 9 years old when he died. Obviously, no one had trouble answering these questions. But when the respondents were then asked to estimate Gandhi’s age at death, these clearly ridiculous β€œanchors” made a difference: the group anchored on 140 thought, on average, that Gandhi had died at age 67, whereas the group anchored on 9 believed he had died at age 50. (Actually, Gandhi died at age 78.)

Excerpt from: You’re About to Make a Terrible Mistake!: How Biases Distort Decision-Making and What You Can Do to Fight Them by Olivier Sibony