How Cognitive Skill Spreads Through a Network
Question. Does Missionloops capability spread operator-to-operator, and in the cluster topology the ratchet needs rather than a prestige-driven hub?
Analogy. It works like a barn-raising versus a crowd around one master builder: at the barn-raising every neighbour works shoulder to shoulder with several others, the skill passes hand to hand, and the frame actually goes up, while the crowd around the famous builder only grows larger and admires, and at dusk has no barn. The study asks whether Missionloops capability really passes operator to operator through trust ties at all, and whether the network grows into the many-hands shape that compounds doctrine or the admire-one-builder shape that adds people and builds nothing.
What's at stake. The self-spreading-cure economics depend on capability propagating through trust ties at network cost, carried by the war stories operators tell after solving a real problem. But spread alone is not enough. The doctrine-improvement claim needs a particular network shape: many operators connected to each other through shared problems (a cluster), not many operators connected to one admired teller (a star). Prestige-bias copying, the mechanism the growth model leans on, tends to build stars, and a star adds headcount without producing the multi-predecessor density the cumulative-cultural-evolution ratchet requires. If the network grows in the wrong shape it reaches people and still does not compound doctrine, and the population-scale claim fails at the topology level rather than the headcount level.
The two answers it decides between. Either war-story propagation builds a prestige-driven star, so growth adds admirers of impressive tellers and the network stays hub-and-spoke; or shared-problem propagation builds a cluster, so operators connect to each other through the work and the multi-predecessor density the ratchet needs actually forms. The prestige-versus-dominance signature of the stories and the measured tie topology tell them apart.
What a null result would mean. If capability does not transmit through ties, so a new operator's gain is uncorrelated with their guides' proficiency, or transmits only into a star topology, the self-spreading-ratchet model the carrying-capacity argument rests on needs revision. That is a finding about the growth theory, not a sign the platform was built wrong.
Why this matters to defence. The self-spreading countermeasure is the only one that can match a network-cost attack across forty million civilians without a mandate or a standing budget (DRDC Objective 6). It also yields the network-epidemiology instrument the proposal already names: basic reproduction number, propagation velocity, latent-to-active transition across trust channels. It changes a concrete decision: whether to rely on voluntary trust-network propagation as a civil-defence delivery mechanism, and what network shape a region needs before the ratchet can engage.
How we would run it. Watch capability and connections form across the operator network as it grows, without reading content: check whether a new operator's skill gain tracks their guides' skill, so capability is actually passing along the ties; score whether the war stories spread admiration-you-want-to-learn-from versus fear-based status, using a validated peer-rated prestige-versus-dominance scale; and measure the shape of the network, how clustered it is and how many teachers each person has, against the star-versus-cluster prediction. The naturalistic trust network of operators working real problems is the only place this shape can be seen; a managed cohort is handed its shape rather than growing one.
Earliest start. Stage 9: the study needs a growing operator network and the assembly conferences that mix it, so its shape can be measured as it forms.