> Canonical: https://drkishanrees.com/ideas/ # The lateral network Coined in a 2026 article for Pharmaceutical Executive Status: draft. This entry is awaiting review; nothing in it is published until it appears at its own /ideas/ page. **The lateral network is the sideways route health information now takes: friends, colleagues and peer networks, person referring person, moving faster than any institution. Authority has moved sideways, and the unit of trust is now a person, not a logo.** I named it in a 2026 article for Pharmaceutical Executive, drawing on my doctorate. It is the transmission fabric of the referrer society. ## Where it came from The evidence is my MD: forty in-depth interviews, twenty healthcare professionals and twenty members of the public, thirty-five hours of recorded conversation, fifteen months of qualitative analysis with AI-assisted thematic review running alongside, written across five years of evenings and weekends. What the pandemic data kept showing was correct information arriving through channels the old architecture called wrong: a participant acting on word from family abroad weeks ahead of official advice, a medical student briefed through social networks ahead of the consultants on her placement. Here is the finding that names the shift, from the article: > Every participant in my study had lost institutional trust in at least one > major source over the pandemic period. Almost none had lost trust in > specific named individuals: their own GP, a clinical figure they followed > on social media, a particular WHO scientist, a named BBC correspondent. The > unit of trust is now a person, not a logo. The term itself I coined in "What 40 conversations about a pandemic taught me about how pharma communicates", written for Pharmaceutical Executive in 2026. ## The argument Institutions built for the deferrer society communicate downwards: global sets the strategy, local adapts it, media carry it, professionals receive it, the public sits at the bottom of the cascade. The lateral network routes around that architecture, and the data shows it has three properties. People sort by information habits, not demographics: one participant, a taxi driver who read the BBC scrupulously every morning, was closer in how he sourced and trusted information to a time-poor clinician than some industry professionals were to either of them. Trust attaches to named people, not to logos. And the network is faster than the institution: by the time an answer has cleared the cascade, the conversation has usually moved on. The answer is not to broadcast louder. It is to earn a place in the network: named, credentialled people doing the work to be referred, with the institution behind them rather than in front of them. Regulated industries are better placed for this than they fear, as the article argues: a sector required to make every claim fair, balanced, accurate and substantiated is well built for an environment that rewards trustworthy sources. It is the operating model that needs to change, not the standards. That is also the argument put into practice in my own work: the Undoctored Truths Alliance, the voluntary network I co-founded, now around 300 professionals in and around health and life sciences, exists precisely to put named, credentialled voices into the lateral networks where health misinformation moves. ## Who it is for Health communication first, because that is where the evidence comes from: pharma, public health, anyone whose plan still ends at the press release. But every institution that assumes its audience waits to be told is communicating into the same shifted world: newsrooms, universities, government. If your audience hears it from each other before they hear it from you, you are already dealing with the lateral network; the only question is whether you participate in it or get routed around. ## What the lateral network does not claim Naming a route is not a licence to overclaim it, so let me be precise about the edges. - It does not claim the phrase as unique. Lateral networks exist in other fields; what this page names is a specific sense, the transmission fabric of the referrer society in health information. - It does not claim institutions are finished. The same study found trust persisting in named individuals inside institutions, and the institutional standards, fair, balanced, accurate, substantiated, are precisely the asset. - It does not claim lateral means true. The same networks carry misinformation at speed; that threat is why the Undoctored Truths Alliance exists. - It does not let compliance off the hook. The argument is about where and when to show up, never about what a regulated industry may say. - It is a proposed communication model, my coinage, not an externally validated discipline. ## The claims, classed I sort what I publish by how strong the claim is, so here is this page graded by my own rubric. The classes are Observation, Hypothesis, Coined term, Internal result and Externally validated finding; each claim names its evidence and where that evidence comes from. ### The ledger **The term itself, the lateral network, in this sense.** Coined term. Evidence: the article written for Pharmaceutical Executive, 2026, building on the doctorate. Source: owner-supplied manuscript, submitted and awaiting publication; this page will link the published article when it is live. The phrase exists in other fields, which this ledger says plainly; the sense is what is coined. **Trust attaches to named individuals, not institutions.** Internal result, institutionally examined. Evidence: my MD thesis (Hull York Medical School, 2025), an IPA study of 40 participants: every participant had lost institutional trust in at least one major source; almost none in specific named individuals. Source: owner-supplied document, self-hosted in full at [the research page](/work/research/); the degree award is the institutional check, not external replication. **The lateral network outran institutions during the pandemic.** Internal result, from the same study. Evidence: participant accounts of correct information arriving ahead of official advice. Source: owner-supplied document; the same institutional check. **Information habits predict audiences better than demographics.** Internal result, from the same study, interpretive. Evidence: the participants' contrasting media environments, read through IPA. Source: owner-supplied document; the same institutional check. **Institutions should redesign their communication model for the lateral network.** Hypothesis. Evidence: the article's argument and the working experiments on this site and in the Undoctored Truths Alliance. Source: my own proposed model, not yet validated; this page will say so until that changes. ## Watch and read - The society it moves through: [The referrer society](/ideas/referrer-society/), the shift my doctorate named - The machine layer joining it: [B2LLM](/ideas/b2llm/), when the referral goes to a model - The research underneath: [Public Health Communication During COVID-19](/work/research/), my MD at Hull York Medical School - The argument in practice: [Undoctored Truths: turning a moment into a movement](/work/reflections/undoctored-truths-alliance/)