ERP-based interbrain causal model reveals closed-loop information interaction 
in interpersonal negotiations
https://www.sciencedirect.com/science/article/pii/S1053811925005440

"This causal model provides a mechanistic explanation of how proposer-responder 
pairs perceive and adapt to each other’s decisions, facilitating shared attention and 
behavioral coordination in reciprocal, asymmetric negotiations."

On 10/10/25 11:55 AM, glen wrote:
Well, as a fan of ChatGPT, I'm sure you've submitted this article to it and have a 
ChatGPT-shaped extruded opinion of it. >8^D I may have a similar one, having 
gotten analyses from Gemini and Claude. My initial worry was later identified by 
Claude, but not Gemini: no diversity analysis of the 384 undergrads ... not even 
male vs female numbers? Maybe I missed it, though I did look at the 2 Supp docs. I 
stopped short of researching estimates of diversity at Beijing Normal. Pffft. Both 
Gemini and Claude said their methods were high quality. Is it high quality to 
*not* report such things? No.

Anyway, the analogy of their bipartite game with small scale organizations like 
teams and leagues is pretty good, I guess. Though not at all perfect. I'd argue 
that something like Dunning-Kruger would apply. We had a forward on our soccer 
team who seriously thought he was better at *everything* than every other 
player on the field. And, to be fair, he was better at everything *except* 
fairness. When he was allowed to dominate, we won. When he wasn't allowed (or 
wasn't playing), we did about average.

But we all hated that m0th3rfvck3r, and his @ssh0l3 dad. But we won ... a LOT. So ... for 
a team of middle schoolers who weren't financially invested in the outcome of such games 
(yet we suffered privately at home when we lost a game, including both psychological and 
physical abuse) ... You tell me, what does "fair" mean?

On 10/10/25 8:21 AM, Steve Smith wrote:
Listening to Trevor Noah in an extended interview (1:26:00) with Bernie Sanders "Who Owns 
America?" I was browsing my "to read" queue(s) and tripped over the following paper 
of relevance to a point Trevor was making about the inherent fairness in sports.

Trevor and Bernie exchanged examples of how Shaq's physical prowess lead to new 
rules which handicapped his most acute capabilities and how Golf (of all 
socially irresponsible sports) uses the (literally named such) handicap system 
to allow individuals of widely different levels to (potentially) play together.

I'm generally NOT a fan of either (organized-competitive) sports nor politics as they are 
practiced because despite all the aspirations and claims in both domains (what is 
Democracy if not an aspiration to fairness?) the dominant theme seems to be "how can 
I game the game?".   Which suggests that game-theory is the meta-level at which the 
dynamics can be studied (and adjusted?) to match our aspirations?

More objective (and smarter) people here might be able to suss out more 
specific implications of this paper on the Socio-Economic-Political domain than 
I am here...


    *Coordination of network heterogeneity and individual preferences promotes 
collective fairness*

    https://www.cell.com/patterns/fulltext/S2666-3899(25)00141-2


        Summary

    There are intensive debates about whether heterogeneous networks promote 
prosocial behaviors such as fairness and cooperation. Theoretical models 
predict that network heterogeneity plays a positive role, but this prediction 
has not been validated by experiments. We reconcile this debate by conducting 
experiments with two-stage ultimatum games on networks. In the first stage, we 
identify responders with strong fairness preferences, referred to as leaders. 
In the second stage, when leaders occupy high-degree nodes in a heterogeneous 
network, their ability to motivate fairness among neighboring proposers is 
amplified, and collective fairness is facilitated. We propose an evolutionary 
game model and an agent-based simulation framework that capture the microscopic 
mechanisms underlying the networked experiments. Our experiments, model, and 
simulations suggest that network reciprocity is achievable but requires 
coordinated interactions between different prosocial inclinations
    of individuals and social network structures.




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