Dunbar’s Number – Groups, Language and Social Media
The Dunbar number regularly gets bandied around in social media circles, and for good reason. However, it is usually misunderstood.
In today’s hyper-connected world, where technology lets us have hundreds (if not thousands) of ‘friends’, people are increasingly interested in understanding what the human limits on maintaining human friendships might be, and why.
Real world relationships have been studied by psychologists, sociologists and host of other ‘-ists’ for decades. However, Dunbar, who works in the area of behavioural brain science, has emerged as one of the most frequently quoted figures, in the blogosphere at least.
Where did Dunbar’s Number come from?
One of Dunbar’s papers, published in 1993, wonderfully titled “The Co-evolution of Neocortex Size, Brain Size and Language in Humans” is cited for something commonly referred to as Dunbar’s number. Shock number one: There isn’t really any such thing as Dunbar’s number, in the sense that people normally refer to it.
The common mythology is that Dunbar said that people can only sustain a network of 150 contacts. Strictly speaking that is not what Dunbar’s paper said. Think of humans as brains on legs for a minute, and put your evolutionary psychology hat on. Dundar argued that, in evolutionary terms, there may be an upper group size that animals can and will live in, determined by cognitive constraints – specifically the processing capacity of the neocortex – and selected for based on various environmental constraints.
Effectively, from an individual animal’s point of view, the neocortex size sets a limit on the number of relationships that can be maintained. That in turn limits the maximum group size for the community that individual lives within, assuming they have the same constraints. At a simple level, if a species is made up of individuals that can only sustain 10 relationships, we might expect to see groups of 10 wandering around. If another member attempts to join the group, the individuals don’t have the capacity to support that extra relationship, and the member wouldn’t be accepted, or the group would fail.
The neocortex size is driven by all sorts of ecological factors that select for group size, but we could potentially use that relationship the other way round to predict group sizes, based on the neocortex. Take one group with a known group size and look at the size of its neocortex. Work out a ratio, then take another species and look at the size of its neocortex and use that ratio to predict how many individuals it would be able to support.
Would the Real Dunbar’s Number Please Step Forward
Dunbar took existing data from a number of primate studies, where typical group sizes can be observed. He then looked at the neocortex size for those primates and projected forwards to the larger human neocortex. His calculations predicted that human group sizes would typically be around 147.8. It should also be noted that Dunbar worked with average group sizes, not maximum sizes.
Now, the maths is much more complex than this summary indicates, but I’ll spare you the detail. Even so, the statisticians out there are probably gagging on their most recent meal at this point. Hang on in there. Some statistical juggling means that confidence limits around this number can be calculated, which ends up giving a range being between 100 to 231, hence my earlier comment about Dunbar’s number not really existing in the way most people expect. Think of it as a range of typical group size, rather than a number limit. Dunbar’s work has been criticised and supported. However, it is interesting to note that his suggested number does seem to match with studies of human group size from other disciplines. I commonly read both military and business books that suggest a number in this range as the typical or maximum size for a group.
Speaking of Language
There is an interesting aside here. Dunbar and others argue that social grooming is important for maintaining relationships, and for sustaining the coalitions that facilitate large group structures. While apes might spend their time picking insects out of each other’s fur, we waggle our tongues and use our voice boxes. Evolutionary psychologists often argue that we evolved language as a very efficient form of social grooming. Well, half of them would. The other half would argue something more along the lines that our brains got so big and heavy we had to do something useful with them, and language turns out to be a rather beneficial thing to have.
Think of it this way: If a large group of apes is only able to be large because they spent their entire time picking nits out of each other’s fur, it won’t be a large group for very long. While they have the advantage of being able to defend themselves and pool resources, they don’t have any time left for finding food. They will be an extinct bunch of apes in very short order.
One of the factors that gives us large group structures is our ability to use language in communication. Language is much more efficient than picking nits out of fur. I can deal with more than one person at once, for a start. That means we can be more efficient about maintaining relationships, using quick bursts of language, rather than all of the time being taken up with social grooming. Personally I find that a great relief. I love communicating with you, but I’d rather not have you dealing with my parasites!
A simpler summary would be that available time, combined with efficiency, determines the number of relationships that can be supported. Language enables us to be more efficient with our time. That in turn enables us to build a larger social world, and still have time to do other things.
Does Social Media Make Us More Social?
One of the (many) aspects of social media of that fascinates me is this: Can it enable us to be more efficient and effective in maintaining relationships? Can computer-based tools enable our brain to cope with more than it would be able to otherwise? If so, that has social ramifications, as well as organisational design ones.
So, if Dunbar’s number (or one of the equivalents from Anthropological studies) is so small, how do we end up with significantly larger groups, like 1,000+ person companies? It comes down to rings of friendships. Think of bands of 30-50, then clans of 100-200, and above that tribal groups of between 500 and 3000. Imagine that I have 30-50 relationships, and those individuals have partially overlapping relationships with others. You can now imagine an inner group and an outer group, with cohesion maintained by those individuals holding relationships across the different bands and within bands.
The way that large groups work is significantly more complex than suggested here so far. Dunbar and others argue for these layers or rings of friendships, with different strengths at each layer. This layered structure enables sustainable group dynamics. The coalitions mentioned earlier are important, since these stronger relationships provide the individual with others to protect them from potential hostility from members of the larger group, by individuals with relationships to both parties.
Bands and clans interact in a way that protects individuals and sustains tribes and population, and reflect different types and strengths of relationship. One of the challenges of today’s social media is that it doesn’t model this subtlety and complexity. Psychologists are still trying to understand the diverse nature of human relationships, and the complex properties that they have.
The Future is Still Social
It may be many years before social media catches up with even today’s understanding, and by then that understanding may have moved on – potentially due to social media itself. Social networking tools let us understand how we maintain relationships, by giving us greater visibility into how people interact, but they also potentially change the way that we do these things, a kind of social version of the schrodinger’s cat problem.
There are still going to be psychological limits on how many relationships we can maintain, whether we fundamentally change them or not. Perhaps technology enables us to have a feeling of maintaining more relationships, or it deepens relationships that have been weakened by our modern life styles. At a more human level, it is raising the question of what we mean by ‘friend‘. It is certainly making qualitative changes to what we know about those around us, and our ability to discover new people to communicate with.
Maybe you’ve worked out your own personal Dunbar number, or found ways of recreating those different circles of friendship with social media? Do you see tribes and bands in action on-line?
Thanks for sharing that!
I’ve often wondered exactly what Dunbar relates to, figured it was something to do with group numbers, based on “physical” limitations.. Personally I question the physical restrictions, based on possible physical contacts, and sizes of community being translated into “virtual” mental spaces..
After all, the human mind has untapped potential, and since we’re only using 2% of the brain, in theory, perhaps we need to learn a new way of group thinking, or group conversation, to start accessing more of that capacity.
One thing I know for sure, is that the brain can rapidly grow and adapt, to any new stimulus, so by that theory, mentally we can go much further than we could physically.. but then people who haven’t adapted, and don’t have that skillset, would think it impossible, or impractical. Like riding a bike, you can only learn the skill by doing, and through practice, not through debate or discussion..
Can you maintain relationships with more than a thousand people each year? A few email newsletters, and I can!
At least enough, to be able to consider folks still interested or engaged.. (else they’d unsubscribe themselves 🙂
Thank you for the comment Farhan. There is other research around physical restrictions on group sizes for conversations, which are based on acoustics. For reference, they suggest a limit of conversational group sizes of about 8 people, based on people being .5m apart and not too much background noise. It is mentioned in one of Dunbar’s papers. Something to be in mind when calling a meeting!
I agree with you that “virtual’ worlds break those sorts of limitations. We’ve only be using text as a real-time communication method for a relatively few years, so we’ll see how that changes conversations too. I’ll come back to the 2% of the brain bit, as that is a whole other post about neurons and parallel processing :).
I still think there is a time investment required to maintain relationships. Modern marketing has to grapple with how that can be scaled (likewise, modern approaches to sales). From a the perspective of personal relationships, I wonder if trying to scale is the right direction. Better to focus on strengthening perhaps?
Ben,
this is a great post. Really really great stuff. thanks.
One of the significant factors in the advantage of social networking and its influence on functional community size is the ability to instantaneously bring up a record of prior communications. People that I don’t immediately remember can be easily refreshed to my memory by trawling through my email or twitter archive to find out what we’ve said in the past. ‘ah yes, THAT dave’ etc… suddenly, the prompts become vital to maintaining a more disparate group of connections, with context and depth, without needing to keep it all at the front of our minds all the time.
As mobile tech gets more and more sophisticated I wonder if we’ll learn to utilize this more and more. There are certainly some scary/nefarious uses of that kind of instant search functionality, but I think the pros outway the cons.
I’d love to hear Adam Greenfield’s take on how the ‘search to strengthen community’ aspect of ubiquitous computing might pan out… will ask him. 🙂
[…] Despite the weather, the first sessions began on time. ‘A taxonomy of social media’ was presented by Benjamin Ellis whom I remember meeting at #1, I learned about Dunbars number, agreed with the fact that visible conversations are self regulating and that self regulation/ feedback helps stop a social media platform from collapsing through disintegrating relationships – more of which can be read on his own blog post on the subject. […]
[…] fragments into multiple communities on the one platform. That is actually a good thing (see Dunbar’s Number and social media for more background), and these different communities aren’t […]
I found this post via Confused of Calcutta; I was about to make a response via my own blog, but I think you actually captured the essence of what I was going to say much better, particularly in terms of the statistics angle.
My hunch was simply that what really matters most in terms of preserving relationships is time; we need a certain amount of time to invest in our various relationships in order to maintain them.
I also wonder if perhaps statistics about how much brain capacity we use are really just exposing our lack of knowledge about how the brain works as much as anything else.
Thanks for the great article.
@steve Throw face recognition software into the mix and we may never need to remember names again :). More seriously, I think there is a difference between recall and recognition, which is where search has its limits.
Pulling up a record of the communication thread helps, that’s one of the reasons CRM systems can be so useful for a business. However, that’s different that remembering “Hey, George would be interested in this”.
Does technology expand how many people we can (or more importantly do) interact with? I’d be very interested to hear what Adam Greenfield has to say… The topic is something JP was pondering in the post Sam mentions on Confused of Calcutta here.
@sam Time is still the oxygen of friendship, certainly, and I’ll give a hearty nod to the comment on how much brain capacity we use, which leads me to…
@farham The brian is like a massively parallel computer processor. Trying to measure use in %’s is problematic. There is always the opportunity to learn new things and form new neural pathways. More recent research suggests that the brain’s plasticity (its ability to change and adapt) lasts longer into life that previously thought.
There is a huge opportunity to use technology to enhance and sustain relationships – either in the business or personal context. Social software is starting to explore some of the boundaries, but only starting.
[…] However, it is Robin Dunbar (now teaching at Oxford) who produced the most famous research, back in 1993. His work was popularised in Malcolm Gladwell’s book ‘The Tipping Point’ – to such extent that many in the social media space talk about “Dunbar’s number“. […]
[…] of introducing people to each other, and strengthening relationships with mutual contacts (see the Dunbar’s Number – Groups, Language and Social Media post with reference to tribes and clans in this […]
Nice work – I studied Dunbar in my M.A., and it’s a relief to find someone using his work properly. One extension of his work I’ve wondered about is the element of time. After all, one strong ambiguity concerning our position is that we are cultural primates, and although chimpanzees show signs of low-level culture and communication, we have transcended keeping track of group members by sight and touch by developing language and technology.
What I’d really be interested in looking at is how the speed of communication changes the number. I think that Dunbar – or the peer review of Dunbar’s paper – referred to tracking Christmas card lists as a means of measuring group size. However, how does the number of people you can keep up with change as you embrace faster means of communication such as mobile phones, email, IM, social network tools and twitter? It’d be an interesting one to look at – I suspect there might still be a ‘hard plateau’ set by the neocortex size, but quite how culture and language interact with this, I’ve no idea.
Yes, the Christmas card check rings a bell – it was at least in an associated paper. I like the idea of velocity of communication as a variable. Hmm… Thinking…
Great post.
We have covered Dunbar at uni and I really enjoyed reading your post about it, and I like how you have applied it to another interest of mine; social media.
I had thought about doing a similar post, but you seem to have covered the topic rather well; so will leave it up to the professionals.
Hello Trudy – I am sure there is more to add, especially in the applied setting. Pitch in – that’s what blogging is all about, there’s always something to add or link to.
[…] ‘tribal leader’ and rings of followers creating a social structure supporting them (see Dunbar and other anthropological studies). That structure does not work with anonymity of opinions. […]
[…] all brings me to Dunbar’s Number, which Alan just had to drag into it! For background see earlier posts on the complete bounds of […]
[…] are cognitive limits on the number of friendships we can sustain (see Dunbar’s Number and the complete bounds of our social networks for more of a discussion). The tools may extend the […]
[…] have come across is that written by my friend Benjamin Ellis, the man behind Redcatco, who’s Dunbar’s Number -Groups, language and social media post is well worth reading. var fbShare = {url: […]
#likeminds – Dunbar’s number isn’t really 150: http://bit.ly/RoK6 if you want some background reading.
@benjaminellis i was waiting for that link to your excellent piece on Dunbar 🙂 http://bit.ly/RoK6 #likeminds <
@cpappas @rosevibe Try http://redcatco.com/blog/communication/dunbars-number-groups-language-and-social-media/