Assembly Cost
Rigorous medical content charges the reader for the effort of assembling the message. Snake oil salesmen don't. That asymmetry can matter as much as the quality of the content itself when a health-concerned individual decides who to listen to.
I am not a doctor. I am someone who decided to change their habits using evidence-based information, and who went looking for it where it lives: YouTube and Instagram. What follows stems from that experience, not from theory.
A urologist I used to follow had three videos that, to me, said almost the exact same thing. I remembered a specific piece of data from one of them and needed to rewatch it. It took me forty-five minutes of video scrubbing to find it. In those forty-five minutes, I learned nothing new: I paid a toll to recover something I had already understood once.
It wasn't an isolated incident. A month-old reel I knew existed but had no way of locating. A video referencing another video that was nowhere to be found. A topic that only made complete sense if you pieced together four posts published weeks apart. A question left hanging at the end of a video with no place to check if it had been addressed elsewhere. In every case, the content was accurate, and in every case, the work of assembling the puzzle was left to me.
I give this a name: Assembly Cost. It is the price the reader pays to convert scattered pieces into a usable message: finding the right piece, retrieving previous context, following a reference, reconstructing an explanation spread across multiple posts. It is not the cost of understanding. It is the cost of gathering what has already been published and is already correct.
It is worth distinguishing this from another cost with which it is easily confused. Deciding who to trust—distinguishing evidence from opinion, comparing sources, resolving contradictions between creators—is a different problem, and a massive one: when someone types "prevent diabetes" into YouTube or Google, they get hundreds of results that look identical to their eyes. That cost exists, and I am not taking issue with it here. But both costs compound on the same person, and that person is in no condition to pay either: they are not searching out of curiosity, they are searching because they are worried. Their criterion for success is not learning; it is reaching something actionable before giving up.
The Asymmetry
On the other side of that same search, the snake oil salesman doesn't charge an Assembly Cost.
Every single one of their videos ends in the exact same place: visit the website, check out the full information, buy. That link isn't editorial generosity; it is a funnel. And behind it lies a page with everything served on a silver platter: the argument from start to finish, the FAQs, the testimonials, the clear next step. The message never arrives fragmented because their business relies on it not being fragmented.
On the seller's side, the connection between the pieces is funded. On the rigorous doctor's side, nobody pays for it.
That alone explains a major part of the difference, and it is worth pausing to consider what it implies. It does not mean one side has better content. Nor am I saying that the seller communicates poorly—many communicate extraordinarily well, and that skill is real. What I am saying is more specific: nobody loses money if I can't find the urologist's previous video, whereas the seller definitely loses money if I can't find theirs. That is the entire asymmetry I am calling out here: one has an economic motive to perform the assembly, and the other does not. And because they lack that motive, the assembly simply doesn't happen—not due to lack of capability or carelessness.
Worse still, the incentives push in the opposite direction. Splitting a topic across four spaced-out reels works for the doctor: more posts, more reach, more chances to catch the algorithm. The cost is paid by the reader, who appears in no metric whatsoever.
The clearest way to put it is this: the problem isn't that the doctor produces worse content, but that the seller builds a product around theirs. One publishes pieces; the other publishes an information system where every piece has a function and a destination.
Why the Cost Matters
One could argue that a bit of effort is a good thing, that in learning, difficulty helps consolidate knowledge. That is true in a classroom and irrelevant here, because there are two distinct types of friction, and only one is productive. The friction of understanding—comprehending why heme iron absorbs differently than non-heme iron—is the actual work, and there is no legitimate way to eliminate it. The friction of retrieving and assembling consolidates nothing and is entirely avoidable. Serious medical content today charges for both and defends itself by claiming the former is necessary.
Regarding what happens when the total cost is high, there is a signal worth examining. McCloud and colleagues measured real internet activity among a low-income urban population and found that 43% of participants felt it took too much effort to find acceptable information, and 30% felt frustrated during their search. Among those with a medical condition, those who felt frustrated searched for health information at half the rate of those who didn't. It is an observational study and doesn't prove causality; in fact, among those without a medical condition, frustration was associated with more searching, not less. But the direction of the finding in the group that needed it most points to something worth taking seriously: friction can turn into something worse than an unsatisfied reader—it can become a reason to stop looking altogether.
Furthermore, there is a line of research that doesn't directly prove what I am proposing but points in the same direction. Statements that are easy to process tend to be judged as truer than difficult ones, and repeated statements receive higher truth ratings than new ones. From there to my conclusion is a leap that is mine, not the studies': if that is so, a creator who repeats their core message in every piece accumulates familiarity in a way that a creator spreading an explanation across four posts simply cannot. I present this as a hypothesis, not a proven result.
Against someone who leaves a clearly marked trail, the rigorous doctor competes with a message that the reader has to reconstruct on their own.
What This Doesn't Mean
It pays to be honest about the limitations, because they are multiple and real.
Part of the disadvantage is irreducible. The seller can promise certainty, whereas the serious doctor often cannot, because the honest answer is that "it depends." That asymmetry is not one of architecture, but of epistemic honesty, and no design can erase it; moreover, fluency is a race where the person with no constraints can always run faster.
Nor is it enough simply to build the destination. What Eysenbach termed the law of attrition is the observation that in any eHealth trial, a substantial proportion of users drop out before completion or stop using the application—and this happens even among people who enrolled voluntarily. Lowering the Assembly Cost improves conditions for the returning reader, but it does not manufacture that return on its own.
And there is a fundamental limitation: information does not automatically equal habit change. The knowledge-behavior gap is well-documented, and the deficit model—the idea that people change primarily because they receive the information they lack—has been challenged for decades in science and health communication, to the point where Simis and colleagues dedicated a paper to asking why it persists despite evidence to the contrary. That may be one of the doctor's instincts: to provide the precise, evidence-backed piece of data and assume the data will do the work on its own. It is worth seeing it for what it is—not a virtue, but part of the competitive disadvantage.
The Answer
With all that said, there is a part of the problem that is clearly solvable and vastly underutilized in individual medical practice. It's not that no one has solved it: large health systems and academic institutions have spent years creating topic-based pages, FAQ sections, and stable resources. What seems far less developed is that very same structure on the side of the independent doctor publishing on their own—which is precisely where people are looking for them.
And there is no need to guess what the reader needs, because researchers have asked them directly. Lee and colleagues interviewed seventeen Australian consumers with chronic conditions regarding their barriers and navigational needs. Among the barriers mentioned were the sheer volume of available information and inconsistency across different sources. And among the needs stated by the participants themselves was, verbatim, a single or designated destination for credible information, along with healthcare professionals guiding them toward good resources, and better-designed web pages. It is a small qualitative study, and its authors caution against generalizing the findings. But it is remarkable that what people asked for was not more information or more education on how to search: it was a place.
That place is the honest equivalent of a funnel. If a snake oil salesman can build a page with the full argument, the evidence, and the FAQs, there is no reason a doctor cannot build theirs. One topic, one stable home, the complete explanation, what the evidence supports and what it doesn't, remaining questions answered right there, and every published piece pointing back to that central location. The difference between this and a content archive is that an archive stores, while a product answers.
A technical warning, because instinct often leads to the opposite mistake: more navigation is not necessarily better. A review by DeStefano and LeFevre found that the additional decision-making and visual processing demands inherent to hypertext reading can impair performance, and that readers with low prior knowledge—a group particularly relevant when the reader is a patient—tend to be at a greater disadvantage. The solution is not a maze open to infinite exploration, but a short hierarchy with a central destination per topic and a few clear exits, minimizing unnecessary choices.
And there is an argument that is not moral but business-driven—which is probably the one that actually matters. That structure is an asset. It is an email list independent of algorithms, and a direct signal of what concerns the audience, because incoming questions reveal far more than any reach metric ever could. The salesman doesn't build the funnel out of virtue: they build it because it works for them. And on the right side of the aisle, it works exactly the same way.
Lowering the Assembly Cost doesn't win the entire fight. It wins the part of the fight that doctors are currently giving away for free. How to compete with the remaining disadvantage—the certainty that cannot be promised, the fluency that cannot be matched, the gap between knowing and doing—is the question that remains open, and it is the work I am here to do.
Sources
McCloud RF, Okechukwu CA, Sorensen G, Viswanath K. Beyond access: barriers to internet health information seeking among the urban poor. J Am Med Inform Assoc. 2016;23(6):1053–1059. https://doi.org/10.1093/jamia/ocv204 · Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070515/
Lee K, Hoti K, Hughes JD, Emmerton L. Dr Google and the Consumer: A Qualitative Study Exploring the Navigational Needs and Online Health Information-Seeking Behaviors of Consumers With Chronic Health Conditions. J Med Internet Res. 2014;16(12):e262. https://doi.org/10.2196/jmir.3706 · Full text: https://www.jmir.org/2014/12/e262/
Reber R, Schwarz N. Effects of perceptual fluency on judgments of truth. Conscious Cogn. 1999;8(3):338–342. https://doi.org/10.1006/ccog.1999.0386
Hassan A, Barber SJ. The effects of repetition frequency on the illusory truth effect. Cogn Res Princ Implic. 2021;6:38. https://doi.org/10.1186/s41235-021-00301-5 · Full text: https://cognitiveresearchjournal.springeropen.com/articles/10.1186/s41235-021-00301-5
Eysenbach G. The law of attrition. J Med Internet Res. 2005;7(1):e11. https://doi.org/10.2196/jmir.7.1.e11 · Full text: https://www.jmir.org/2005/1/e11/
Simis MJ, Madden H, Cacciatore MA, Yeo SK. The lure of rationality: Why does the deficit model persist in science communication? Public Underst Sci. 2016;25(4):400–414. https://doi.org/10.1177/0963662516629749
DeStefano D, LeFevre JA. Cognitive load in hypertext reading: A review. Comput Human Behav. 2007;23(3):1616–1641. https://doi.org/10.1016/j.chb.2005.08.012