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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