From this article at MIT Technology Review:
“Massimiliano Proietti at Heriot-Watt University in Edinburgh and a few colleagues say they have performed this experiment for the first time: they have created different realities and compared them. Their conclusion is that Wigner was correct—these realities can be made irreconcilable so that it is impossible to agree on objective facts about an experiment. .[…] ‘This calls into question the objective status of the facts established by the two observers,’ say Proietti and co.” […] Proietti and co’s result suggests that objective reality does not exist. In other words, the experiment suggests that one or more of the assumptions—the idea that there is a reality we can agree on, the idea that we have freedom of choice, or the idea of locality—must be wrong.”
And the way forward. Granted it’s not full-blown collaborative commons but more like a healthy social democracy of the kind Sanders promotes and Scandinavia has. But I think it’s a necessary stepping stone on that road. The blurb:
“Rising inequality and growing political instability are the direct result of decades of bad economic theory, says entrepreneur Nick Hanauer. In a visionary talk, he dismantles the mantra that ‘greed is good’ — an idea he describes as not only morally corrosive, but also scientifically wrong — and lays out a new theory of economics powered by reciprocity and cooperation.”
I was reminded of the video below, and this longer examination of the ideas therein. Here’s the blurb from the latter:
“Divided Brain, Divided World explores the significance of the scientific fact that the two hemispheres of our brains have radically different ‘world views’. It argues that our failure to learn lessons from the crash, our continuing neglect of climate change, and the increase in mental health conditions may stem from a loss of perspective that we urgently need to regain.
“Divided Brain, Divided World examines how related issues are illuminated by the ideas developed in author and psychiatrist Iain McGilchrist’s critically acclaimed work: The Master and his Emissar
y. It features a dialogue between McGilchrist and Director of RSA’s Social Brain Centre, Dr Jonathan Rowson, which informed a workshop with policymakers, journalists and academics.
“This workshop led to a range of written reflections on the strength and significance of the ideas, including critique, clarification and illustrations of relevance in particular domains, including economics, behavioural economics, climate change, NGO campaigning, patent law, ethics, and art.”
To go with the last post, here’s an article by Douglas Rushkoff noting that optimizing human well-being should be its base. Some excerpts:
“The commons is a conscious implementation of reciprocal altruism. Reciprocal altruists, whether human or ape, reward those who cooperate with others and punish those who defect. A commons works the same way. A resource such as a lake or a field, or a monetary system, is understood as a shared asset. The pastures of medieval England were treated as a commons. It wasn’t a free-for-all, but a carefully negotiated and enforced system. People brought their flocks to graze in mutually agreed- upon schedules. Violation of the rules was punished, either with penalties or exclusion.
“The commons is not a winner-takes-all economy, but an all-take-the-winnings economy. Shared ownership encourages shared responsibility, which in turn engenders a longer-term perspective on business practices. Nothing can be externalized to some ‘other’ player, because everyone is part of the same trust, drinking from the same well.”
With subtitle: The Insurgent Power of the Commons. You can buy it or read it online as the chapters are released over time at this link. An excerpt from Part I below, now available:
“The larger story of the human species is its versatile capacity for cooperation. We have the unique potential to express and act upon shared intentionality. ‘What makes us [human beings] really different is our ability to put our heads together and to do things that none us could do alone, to create new resources that we couldn’t create alone,’ says Tomasello. It’s really all about communicating and collaborating and working together.’ We are able to do this because we can grasp that other human beings have inner lives with emotions and intentions. We become aware of a shared condition that goes beyond a narrow, self-referential identity. Any individual identity is always, also, part of collective identities that guide how a person thinks, behaves, and solves problems. All of us have been indelibly shaped by our relations with peers and society, and by the language, rituals, and traditions that constitute our cultures. In other words, the conceit that we are ‘self-made’ individuals is a delusion. There is no such thing as an isolated ‘I.’ As we will explore later, each of us is really a Nested-I. We are not only embedded in relationships; our very identities are created through relationships. The Nested-I concept helps us deal more honestly with the encompassing reality of human identity and development. We humans truly are the ‘cooperative species,’ as economists Samuel Bowles and Herbert Gintis have put it. The question is whether or not this deep human instinct will be encouraged to unfold. And if cooperation is encouraged, will it aim to serve all or instead be channeled to serve individualistic, parochial ends?”
According to this study in Nature Human Behavior, in time frames about fairness and preventing harm triumph over those about loyalty, purity and authority. The latter might succeed temporarily, like now in the US, but the more the former frames are strongly and repeatedly reinforced the quicker the results. Let’s keep up our passionate frames, for this research supports that we will overcome the dark forces that have a temporary hold on our government. Also see Kohlberg‘s moral stages, showing that the former frames are more developed that the latter set.
“Their conclusion is that the key characteristic of opinions that gain ground is that they are supported by arguments about what is fair and what does not cause harm to others. […] Opinions based on other classical grounds used to determine right and wrong actions—loyalty, authority, purity, religion—can gain support temporarily, but over time, opinions based on these arguments lose support all over the political spectrum. The stronger the connection an opinion has to arguments about fairness and harm, the greater the probability that it will gain ground in public opinion. Also, the stronger the connection is, the faster the change will come.”
We’ve seen quite a few descriptions of an emerging paradigm known as the collaborative commons (CC). But a problem arises when we take another step by extrapolating from that data and then try to prescribe what we need to do in order to create a CC. I.e., we form a model of what the CC should be, and top down we try to implement it. Whereas the technology that enables the CC to grow organically has no apparent need of this top down imposition. To the contrary, it seems more of a capitalistic holdover instead of the middle out way the CC is naturally evolving.
Bonnita Roy has noted that “In a world as diverse in people and rich in meanings as ours, big change might come from small acts by everyone operating everywhere in the contexts that already present themselves in their ordinary lives.” It is quite the contrast from the enlightened heroes figuring it all out from their complex ivory towers which supposedly and hopefully ‘trickles down’ to the rest of us. This seems much more how the CC works in practice. Political and social revolution arises from the external socioeconomic system, the mode of production. Development is accomplished not by having a ‘higher’ model to which one must conform, but by the actual practice of operating within the emerging socioeconomic system.
Jennifer Gidley noted a similar phenomenon in that there is a difference between research that identifies postformal operations from those who enact those operations. And much of that research identifying it has itself “been framed and presented from a formal, mental-rational mode.” Plus those enacting postformal operations don’t “necessarily conceptualize it as such.” So are those that identify postformality via formal methodology really just a formal interpretation of what it might be? Especially since those enacting it disagree with some of the very premises of those identifying them?
The online discussions I engage with on meta-models is representative of this difference. It seems the abstract modeling of the development of the CC is what is operating to create it in a top-down manner. Not only that, what appears to be happening in all cases is that not only does each individual have their own thoughts and opinions on the topic, which is to be expected in diverse groups, we all end up justifying our own take over others. We all seem to be so attached to our own discoveries that we build an edifice and seek out and find supporting evidence to justify it. When confronted with different perspectives or evidence, our first inclination is to see how it fits into our own model or worldview, how we can twist and manipulate it to support our biases. What is there in common that holds us together if we are so closed to taking in new information from other perspectives, allowing them to sit in their own right, their own space, instead of trying to fit them into our own predispositions?
I’m reminded of what Said Dawlabani said, that the distributed network of the collaborative commons follows no ideologies. That it is open source, highly networked and depends on the wisdom of the crowd. I’m guessing that equally applies to our models on trying to create the CC, as we tend to idealize and attach to them. Is our ownership of our ideas more indicative of capitalism that the CC? It also seems that those who are enacting this new paradigm are doing so without need of any explicit theory or model about it. So is arguing about the correct theory even a necessary part of its enactment, as if like capitalism it too needs a top down elite model to implement it? Are our models just getting in the way and actually counter-productive to its natural evolution?
From this piece:
“There is not one, but at least four, hereditary systems recognized by biologists today. Eva Jablonka and Marion Lamb lay this out clearly in their 2006 book, Evolution in Four Dimensions, as they walk through the research literature on genetics, epigenetics, behavioral repertoires, and symbolic culture as four distinct pathways where traits are ‘heritable’ in appropriately defined fashion.”
“Specifically, I am thinking of three areas where significant progress has been made during the last forty years: the birth of complexity science in the early 1980’s, developments in the study of human conceptualization and cognitive linguistics since the mid-70’s, and the explosion of digital media in the age of personal computers and later via the internet.”
“Applied to meme theory, this body of tools and techniques [cognitive linguistics] demonstrates that researchers across many fields have found value in the perspective that culture can be studied as information patterns that arise in a variety of social settings routinely and with modular elements that are readily discernible in each new instance. The claim that information patterns do not replicate is contradicted by the evidence for image-schematic structures.”
Since this came up in our book discussion or Range yesterday, something relevant from this article. It’s interesting how the salience network mediates between and integrates two normally one on, one off networks. And how it is the connections between networks that seems to do the trick akin to the book’s description of how those with range make analogous connections between ideas and domains.
“Three of these distinct brain networks — the default mode, the executive control network and the salience network — have been identified by Dr Beaty and colleagues as being associated with creativity.
“The default mode network is activated when people are relaxed and their mind is wandering to different topics or experiences, associated with remembering past experiences, thinking about possible future experience and daydreaming.
“The executive control network comes into play when you need to pay close attention and focus on something in the environment. It comes online when we have to focus our attention and cognitive resources on more demanding tasks that require us to hone our attention and manage multiple things in our mind at one time, directing the content of our thoughts.
“The salience network plays a significant role in detecting and filtering important — or salient — information. It’s called salience because it helps us to pick up on salient information in the environment or internally. Interestingly, the default mode and the executive control networks don’t typically work together — when one network is activated, the other tends to be deactivated. One thing that we think the salience network might be doing is switching between an idea-generation mode, which is more of a default process, and the idea-evaluation mode, which is more of a control way of thinking. […] More creative people tended to have more network connections.”
New draft paper by me. Update: Published here. The abstract:
A ‘power law’ refers specifically to a statistical relationship between quantities, such that a change in one quantity has a proportional change in another. One property of this law is scale invariance, otherwise known as ‘scale-free,’ meaning the same proportion repeats at every scale in a self-similar pattern. Mathematical fractals are an example of such a power law. Power laws are taken as universal and have been applied to any and all phenomena to prove the universality of this law.
However, a recent study (Broido and Clauset, 2019) claims that “scale free networks are rare.” They conducted an extensive review of one thousand social, biological, technological and information networks using state of the art statistical methods and concluded what the title of their article states. To the contrary, “log-normal distributions fit the data as well or better than power laws.” And that scale-free structure is “not an empirically universal pattern.” Hence it should not be used to model and analyze real world structures.