Stories are persistent: this paper traces back fairy tales across languages & cultures to common ancestors, arguing that the oldest go back at least 6,000 years. One of the oldest became the myth of Sisyphus & Thanatos in ancient Greece. 1/
That may be the start: this paper argues some stories may go back 100,000 years. Many cultures, including Aboriginal Australian & Ancient Greek, tell stories of the Plaeades, the 7 sisters star cluster, having a lost star- this was true 100k years ago! 2/ dropbox.com/s/np0n4v72bdl3…
Stories share similar arcs: Analyzing 1.6k novels, this paper argues there are only 6 basic ones:
1 Rags to Riches (rise)
2 Riches to Rags (fall)
3 Man in a Hole (fall rise)
4 Icarus (rise fall)
5 Cinderella (rise fall rise)
6 Oedipus (fall rise fall) 3/ epjdatascience.springeropen.com/articles/10.11…
Stories have links to cultural values. You can make predictions about economic factors from the stories people tell, as this 👇cool paper shows 4/
The stories organizations tell matter, too: When firms share stories in which their executives were clever but sneaky, the result is less helping & more deviance! Firms that share stories about low-level people upholding values have increased helping & deceased deviance. 5/
Firms also transmit learning through stories. This paper shows stories of failure work best. They are more easily applied than stories of success, especially if the story is interesting & you believe that it is important to learn from mistakes. But make sure it is a true story. 6
Entrepreneurs especially rely on stories, as, all you have initially is your pitch - a story about your startup. You have to use that to get people to give you resources, buy your product, join your company, etc. Here is a thread on how to do that: 7/
One of the most fascinating examples of the power of stories in startups is how the Theranos fraud relied on Elizabeth Holmes’s ability to tell a compelling story, which involved her tapping into the archetypes of what we expect an entrepreneur to be (black turtleneck & all) 👇
One of my favorite scientific figures is this one of the entropy levels of 100 world cities by the orientation of streets. The cities with most ordered streets: Chicago, Miami, & Minneapolis. Most disordered: Charlotte, Sao Paulo, Rome & Singapore. Paper: appliednetsci.springeropen.com/articles/10.10…
To illustrate, here is how the maps look for Minneapolis (most ordered) & Charlotte (most disordered), rendered with this amazing tool for showing maps of roads by @anvaka: anvaka.github.io/city-roads/?q=…
Here's the cities organized by alphabetical order from the paper (by @gboeing )
Challenge in social science posts: indicating when claims are causal in papers. Many papers find relationships without trying to show causality- a useful start for more research! But readers may think a causal argument is being made & complain. Good intro: alexedmans.com/blog/corporate…
Academics tend to be very careful about this language. If something is “linked” or “associated” with something else, that is not making a claim that one causes another. Neither is “predicted by” in many cases. This thread 👇 on Hill’s Criteria can help you think through claims.
And don’t get me started on “correlation isn’t causation.” Correlation could be:
✅Nothing
✅Causation or reverse causation
✅Confounding factors or omitted variables
✅Both factors lead to group selection (more men are 👩🚒, more 👩🚒 get hurt in 🔥, but 🔥doesn’t burn men more)
For May 4th, a lesson on how to sell new technology from Star Wars (& Edison). The key to the look of Star Wars ships are greebles: glued-on bits from off-the-shelf model kits of WWII tanks, planes etc. They make a connection with current tech, making Star Wars feel familiar. 1/
To sell electricity, Edison used the same technique as the Star War's greebles by using skeumorphs (a design throwback to an earlier use) connecting his new scary tech to a familiar one: gas. Gas lights gave off light equal to a 12 watt 💡so Edison limited his 💡 to 13 watts. 2/
As another example, lampshades weren't needed for an electric light, since they were originally used to keep gas lamps from sputtering. But Edison added them anyhow. While not required, they are comforting and, again, made a greeble-like connection to the older technology. 3/
I think many lean startup founders do far too many customer interviews- 100 or more in many cases! Diminishing returns kick in pretty fast & there are other startup experiments, too. So how do you know how many to do? Look for “theme saturation” when <5% of information is new 1/2
Ways of calculating this are in the article, but there is evidence that 92% of key themes are identified within 12 interviews. Even cross-cultural studies often require only 20-40 interviews. Interviews can help but you need to progress to other tests! 2/2 journals.plos.org/plosone/articl…
In general, founders should separate the vital parts of the lean startup method (experiments & hypotheses!) from the dogmatic parts (too many interviews, business model canvas). That doesn’t mean the dogmatic parts can’t be useful, but they are limiting. hbr.org/2019/10/what-t…
But different cultures group colors differently. This chart based on research by Gibson and Conway shows the difficulty of communicating a color. The colors to the left are easiest to communicate since they are most distinct (white and red in English). 2/n theconversation.com/languages-dont…
But the emotional associations with colors are remarkably similar across cultures. 3/n
What is most powerful economic knowledge for individuals to understand to improve their lives? This paper surveyed every economist in Sweden and found the overwhelming choice was... opportunity cost. The paper: tandfonline.com/doi/full/10.10…
So here is a thread on opportunity cost....
Opportunity cost is what you give up when you make a choice. Not just what you didn't buy with the 💰 you spent, but also what you could have done with that 💰 if you saved it for the future. Since you must have chosen the best option, opportunity cost is your next best choice. 2
Except that it often isn't! A lot of research has shown that people neglect opportunity cost when making choices. This leads to consumers falling prey to bad marketing, policy makers making short-sighted decisions, etc. @danariely summarizes this in his interview with Reuters. 3