Christine Caldwell's "spaghetti towers" project rewarded people for building towers out of spaghetti and plasticine - and investigated how copying the results of previous participants allowed people to produce better designs.
Researchers looking at cultural evolution experimentally is a relatively new development - and it shows excellent scope for illuminating the evolution of culture.
Lots of people in this field contrast "cultural evolution" and "biological evolution". Or, more generally, they contrast "culture" and "biology".
The problem with this is that culture is part of biology. Biology is the study of life, and culture is part of that. The idea that culture is not part of biology is a kind of superorganicism - and it is mostly just wrong.
So: biological evolutionincludescultural evolution - and biology includes culture.
If people find they want a term for the non-cultural evolution of ordinary organisms there are a variety of
possibilities:
Nuclear evolution;
Organic evolution;
Cellular evolution;
...but please try to avoid saying "biological evolution" in this context. The term "biological evolution" must refer to the whole thing - including culture.
Simon Kirby - The Language Organism: evolution, culture, and what it means to be human.
The video talks about "a new kind of evolutionary system". There's a discussion of "shielding" 35 minutes in.
32 minutes in, Simon says:
One way to think about this is to sort-of turn things on their head and, rather than think about us being adapted to language biologically, rather language is adapted to best survive in us. In order for language to get passed on and to work it has to be learnable by children - and that is the adaptive force at work in the explanation of these structural features - and this has led a number of researchers to suggest that language itself can be seen as an organism whose environment is our brains. Whether you can really make that analogy work, I am not so sure - but it's highlighting the point that you can look at language from this other perspective and understand the features of it.
This is very tentative material. To understand culture, you have got to grab this perspective by the throat - not tiptoe around it and call it an "analogy".
Oh, and it's not "The Language Organism". Languages are composed of many words, each one of which may be acquired from different individuals (or multiple individuals). So your language typically comes from many cultural parents in many organic hosts - except for those few who live alone on an island with their mother. So: language isn't well modelled as one organism, but rather many organisms, each with their own inheritance pathway. Our symbiosis with languages is more like our symbiosis with lettuces in that respect - lots of words are involved - just as lots of lettuces are involved.
Richard Lewontin - Lecture 1: What is Evolutionary Theory?
Richard Lewontin - Lecture 2: The Organism as Subject and Object of Evolution
Richard Lewontin - Lecture 3: Does Culture Evolve?
The third lecture features Richard Lewontin on memes. Lewontin was a critic of universal Darwinism - and of memes. Here's a quote:
I would claim to you that culture should not be analogised to particles like genes that are transmitted, that the notion of transmission is wrong, and that if we want to understand the history of culture, we need to start from culture, and not try to make it isomorphic with some other system of phenomena that we understand too well. That's the bottom line the thing I really want to impress on you most and that is the Darwainaian theory of evolution and its modern form, which I have tried to explain in the previous two lectures, are theories and systems designed to match a particular set of natural phenomena, there's nothing universal about them.
They are tailor-made in every aspect to deal with mortal individuals, with lifespans, with particular mechanisms of transmission of genes of particular kinds of relations and building of the environment, and so on... and if we are to have any kind of successful lawlike dynamical systems for human cultures, we need to discard our knowledge of the phenomenon of biological evolution, and take culture for itself as a set of phenomena and build a set of mechanisms and theories based on our understanding of that phenomenon.
Lewontin's position has failed to stand the test of time. The position he expressed in his 1970 paper The Units of Selection was much better.
In memetics, memes are the non-DNA genes of symbiotic visitors from the cultural realm. They influence our behavior for their own ends. Some of them are parasitic - in the technical sense that they typically reduce the fitness of their hosts. They
do this by manipulating the minds of their hosts, so the hosts spend more resources on spreading their memes. As a result there are often fewer resources available for spreading host DNA around. Some memes are sometimes characterized as "mind viruses" or "viruses of the mind". This is a similar idea. The analogy to organic parasitic mind control seems pretty obvious.
Mind control parasites are a popular phenomenon in science fiction movies. Here are some trailers for some of those movies:
She had spotted an instance of cultural mimicry. It was in the form of a T-shirt with the "Viva la evolucion!" slogan - see below:
In telling me about this, she tried to use the word mimicry - but what came out was "memicry". I explained to her that words "mimicry" and "meme" had had sex in her brain and produced this new word.
It seems to be an interesting word. Memicry: memes copying other memes. I like it!
Here are Steven Pinker's objections to cultural evolution, as expressed in Harvard in 2009:
Steven Pinker was a pioneer of the first wave of the Darwinian revolution in social science - but is one of the scientists who are dragging their feet when it comes to the second wave of the revolution.
His objections are essentially the same as the ones he expressed in
How The Mind Works:
Memetics has never taken off;
We don't have a science of memetics;
Mutations in evolution have to be "blind";
Cultural evolution has intelligent design, and so doesn't need evolution;
If cultural evolution depends on Lamarckian evolution, that gives it no power;
If memes are like parasites, words lack adaptations to defeat host immune systems - and so would be rejected;
Pinker is usually a smart cookie. It's rather a shame that he doesn't have a proper understanding of cultural evolution.
Pinker starts by saying:
I will raise a point of disagreement - and that is that I think that Dan's close analogy between biological and cultural evolution I think works at cross purposes to his justifiable celebration of the power of natural selection I think the idea that cultural evolution works by natural selection actually guts the theory of natural selection of what makes it most interesting.
That what makes natural selection so powerful in the case of biological evolution - Dan haas called it "the best idea that anyone ever had" - is exactly what makes it useless in understanding cultural evolution.
...and...
For one thing, just empirically, the idea of memetics, of a science of cultural change based on a close analogy with natural selection, it is just a fact: it's never taken off. It's thirty-five years old almost at this point. Every five years a paper appears that heralds the final development that we have all been waiting for of a science of memetics - and nothing ever happens.
Compare this to other sciences that have just flourished since 1976: neural networks, cognitive neuroscience, evolutionary psychology - there are conferences and journals and textbooks - we don't have a science of memetics - despite the constant promise that it is just around the corner - and I think that there is a good reason why we don't that there is something deeply flawed with the idea.
...and...
Design without a designer is essential for biological evolution - but it is peverse for cultural evolution: there really is a designer - the human brain - and there's nothing mystical or mysterious about saying that.
Dennett replies in part 9, part 10 and part 11. He calls the internet "the Drosophila of memetics" in part 9.
One that I haven't seen before is the idea that words are not like parasites because they are simple and can't defend themselves against being rejected by the memetic immune system. Memeticists allow for symbiotes that are mutualists, parasites or commensalists. There is no "parasites-only" version of memetics. Most individual words would be memetic mutualists - rather than memetic parasites - benefiting their host by helping them to communicate.
The objection regarding how deleterious memes could evade the host's memetic immune system is essentially much the same for memes as for parasites. More complex memeplexes do have memetic immune system evasion capabilities - for example: "trust me" and "that's the devil talking". Also: memes evolve quickly - whereas the host's memetic immune system is slower to respond and adapt - and the host's memetic immune system has to cope with many possible attackers, a considerable burden on it.
Lastly, with meme transmission, there is a twist that does not apply to organic immune systems. Memes are - on average - beneficial. Letting the good ones through while rejecting the bad ones is a very difficult problem. If we knew which ideas were the good ones, we wouldn't need cultural transmission in the first place - we could just invent the good ideas. However, we don't know that - so we do the best we can, and inevitably some bad ideas get through the net. The price we pay for getting lots of good ideas culturally is that some bad ones make it past our defenses. However, that is better than beefing up our defenses - since that would stop lots of good ideas from reaching us too.
I am afraid that Stephen Pinker’s (of whom I am a great fan) objections to mimetics show a lack of understanding of both evolution and mimetics.
That's about the size of it.
2023 update: the videos were toasted. Stephen was mainly commenting on a live lecture by Daniel Dennett. I think Daniel also got to reply to the criticisms.
In memetics, memes compose the genomes of symbiotic visitors from the cultural realm. They influence our behaviour for their own ends. Many of them are parasitic.
Humans are not the only type of creature to be infected with mind-control parasites. Here are some videos illustrating the phenomenon:
Ant liver fluke lavae - Dicrocoelium dendriticum.
Wasp and caterpillar. Parasitic Mind Control doesn't start until 3:30.
Cordyceps Fungus - attacking an ant.
Glyptapanteles (wasp) - using a young caterpillar host to guard its own eggs.
Leucochloridium Paradoxum is a parasitic flatworm that uses gastropods (snails and slugs) as an intermediate host. It turns their eye stalks into an animated display and makes them crawl out into the sunshine.
Toxoplasma Gondii - makes rodents like cats.
Spinochordodes Tellinii - Infects grasshoppers - makes them drown themselves.
Rabies - affects mammals - makes them "bitey".
Cuckoo - parasitizing reed warblers - behavioural manipulation by remote control using superstimulii.
Marcus Feldman is one of the population geneticsts who pioneered the study of
gene-culture coevolution - in 1973. Currently, this is mostly technical material, with limited relevance to cultural evolution. Marcus Feldman is an important figure in the field, though.
Marcus Feldman - Interpreting Complexity: the Scientific and Social Meaning of Behavioral Genetics.
Marcus Feldman, PhD - Genes & Environment 2010 - Stanford University
Marcus Feldman & David Goldstein - Genes & Environment 2010 - Stanford University
Marcus Feldman - Nobel Conference 2008
Marcus Feldman - The Canadian Fur Trade and Evolution of Tuberculosis
Social media marketing departments must decide how to allocate their budget between making content that will spread - and distributing that content.
The initial distribution is sometimes called "seeding", and focusing on that distribution is sometimes called using a "big seed".
Big seeding was popularised in 2007 by an article entitled Viral Marketing for the Real World - by Duncan J. Watts, Jonah Peretti, and Michael Frumin.
So, in the light of their article, the question naturally arises: does big seeding actually work?
For my epidemic threshold article I made a simple computer
simulation of epidemics that produced graphs showing how the number of infected individuals could increase or decrease over time.
An epidemic - showing the number on infected hosts plotted against time.
The model that produced the above diagram is extremely simple. Individuals are modelled as being either infected or not infected. They have a constant probability of dying in each generation. Senescence and pathology are not modelled. Infected agents infect more agents (randomly) in each generation. Then some individuals (chosen randomly) die, and are replaced by healthy newly-born individuals. The population size is a fixed constant - so the death rate and birth rate are equal. The plot was made by varying two parameters: the infection rate and the death/birth rate. These variables are sampled from a uniform bounded random distribution to create the plot.
The seed population is fixed at the same value for each run and is shown as the y-intercept on the left hand side of the diagram.
The diagram illustrates the concept of an epidemic threshold - if content is insufficiently infectious, it dies off, and goes extinct.
The next issue I wanted to explore was to see how the seed population size
influenced the extinction rate.
This is a plot of survival against seed population size.
Here, "survival" refers to having a population size of at least
1 at the end of the run - i.e. it refers to not going extinct.
This graph illustrates two main things:
Having a seed population too small is often fatal - random fluctuations in population size too easily
cause your seed population to execute a random walk into
extinction.
Big seeding rapidly runs into diminishing returns - provided you seed on a reasonable scale, success depends quite a bit on how much you exceed the epidemic threshold by - and not so much on the size of your seed population.
How to manage the tradeoff between the seeding budget and the contagiousness budget is beyond the scope of this article - but hopefully these graphs will help people to understand the basics of the dynamics involved.
Dan's social media evidence-based myth busting. The small bit specifically about memes starts 3 minutes in. However, Dan is well worth most people's time - so it is probably best to just sit back and relax...