Infinite Stupidity - Mark Pagel via Edge ⇢

Mark Pagel is Fellow of the Royal Society and Professor of Evolutionary Biology; Head of the Evolution Laboratory at the University of Reading; Author Oxford Encyclopaedia of Evolution; co-author of The Comparative Method in Evolutionary Biology. His forthcoming book is Wired for Culture: Origins of the Human Social Mind.

I want this book.

Mark Pagel via Edge

One of the first things to be aware of when talking about social learning is that it plays the same role within our societies, acting on ideas, as natural selection plays within populations of genes. Natural selection is a way of sorting among a range of genetic alternatives, and finding the best one. Social learning is a way of sifting among a range of alternative options or ideas, and choosing the best one of those. And so, we see a direct comparison between social learning driving idea evolution, by selecting the best ideas —we copy people that we think are successful, we copy good ideas, and we try to improve upon them — and natural selection, driving genetic evolution within societies, or within populations.

I think this analogy needs to be taken very seriously, because just as natural selection has acted on genetic populations, and sculpted them, we’ll see how social learning has acted on human populations and sculpted them.

What do I mean by “sculpted them”? Well, I mean that it’s changed the way we are. And here’s one reason why. If we think that humans have evolved as social learners, we might be surprised to find out that being social learners has made us less intelligent than we might like to think we are. And here’s the reason why.

If I’m living in a population of people, and I can observe those people, and see what they’re doing, seeing what innovations they’re coming up with, I can choose among the best of those ideas, without having to go through the process of innovation myself. So, for example, if I’m trying to make a better spear, I really have no idea how to make that better spear. But if I notice that somebody else in my society has made a very good spear, I can simply copy him without having to understand why.

What this means is that social learning may have set up a situation in humans where, over the last 200,000 years or so, we have been selected to be very, very good at copying other people, rather than innovating on our own. We like to think we’re a highly inventive, innovative species. But social learning means that most of us can make use of what other people do, and not have to invest the time and energy in innovation ourselves.

Now, why wouldn’t we want to do that? Why wouldn’t we want to innovate on our own? Well, innovation is difficult. It takes time. It takes energy. Most of the things we try to do, we get wrong. And so, if we can survey, if we can sift among a range of alternatives of people in our population, and choose the best one that’s going at any particular moment, we don’t have to pay the costs of innovation, the time and energy ourselves. And so, we may have had strong selection in our past to be followers, to be copiers, rather than innovators.

Followership is part of a vast meta-genetic pattern of human culture, where we need fewer innovators as our networks grow better at transmitting innovation. As social density increases, social learning increases, and the very best ideas can reach everywhere: or better, everyone.

Notes

  1. dw-t reblogged this from emergentfutures and added:
    I’ve had this bookmarked for a while because it’s a long-ish article and I haven’t had a chance to catch up, but I think...
  2. ascratchpad reblogged this from emergentfutures
  3. ideatrotter reblogged this from emergentfutures and added:
    Mark Pagel is Fellow of the Royal Society and Professor of Evolutionary Biology; Head of the Evolution Laboratory at the...
  4. dingbatter reblogged this from emergentfutures
  5. challengingduelism reblogged this from emergentfutures and added:
    Let’s not forget That in some cultures it is considered a normal thing for technological and cultural innovations to be...
  6. ivvyisyourdaddy reblogged this from emergentfutures
  7. razoredwings reblogged this from emergentfutures
  8. emergentfutures reblogged this from stoweboyd
  9. blogishthing reblogged this from stoweboyd
  10. sboyar reblogged this from underpaidgenius
  11. stoweboyd reblogged this from underpaidgenius and added:
    Followership is part of a vast meta-genetic pattern of human culture, where we need fewer innovators as our networks...
  12. underpaidgenius posted this

← Previous Post Next Post →

About

Web anthropologist, futurist, author. My focus is the future, and the tectonic forces pushing business, media, and society into an unclear and accelerating future. (More.)

Working on longer format projects, Sign up for the newsletter.

GigaOM Research analyst and curator.



Also writing beaconstreets.com.

Contact me. or ask me a question.



My Vizify profile.

Socialogy

  • Brian Solis | Brian and I debunk big data, and Brian makes the case for empathy.

  • Deb Lavoy | Deb is dubious about management's inclinations, and says, 'Just because you are networked doesn’t mean it necessarily helps you understand, or realize your needs more effectively.'

  • John Hagel | John offers up some great insights, like the fact that passion is lower the larger that businesses get.

  • Euan Semple | A chat with my old pal, and the author of Organizations Don't Tweet, People Do

  • Will McInnes | The author of Culture Shock and managing director of Nixon/McInnes

  • Jennifer Magnolfi | An interview with the woman who said, 'Work is not a place you go, it's a thing you do'.

  • Hot Now

  • What Drives Us? | A draft chapter of my book, discussing motivations, Maslow's hierarchy, and fluidarity.

  • Socialogy: Interview With John Hagel | I Speak with Joh Hagel about the innovation at the edge.

  • Complex organisation arises from webs of interaction among causal factors | So, it turns out that DNA is, in fact, a great metaphor for business culture, but only after you realize that DNA is not a few hundred off-on switches, but instead a universe of unknowable complexities, that we can interact with, and understand at some abstract cartoonish level, but not control, and never fully comprehend.

  • Bitcoin May Be the Global Economy’s Last Safe Haven | Paul Ford

  • Innovators Get Better With Age | Companies make a mistake by relying too much on the innoations of the young, because Nobel laureats don't come into their prime until their 50s.

  • Oldie

  • Infodemics | 2009 | Passing incomplete or inaccurate information about some risk event can make people take actions that increase the damage of the event itself.