A structural cost asymmetry between corruption and correction on a shared, propagating
channel: producing a false claim is materially cheaper than refuting it, so when
per-unit production cost falls far enough below correction cost and a fixed correction
budget cannot scale, the channel saturates with uncorrected error as a matter of arithmetic.
How would you explain it like I'm…
Fibs Are Easy, Fixing Is Hard
It takes one second to make a mess on the floor, but a long time to clean it up. Making up a wrong story is the quick mess; proving it's wrong is the slow cleanup. Brandolini's Law is that it's much easier to spread something false than to clean it up afterward.
Cheap to Lie, Costly to Fix
Brandolini's Law says that making a false or sloppy claim is much cheaper than disproving it. The person making it up only has to say something that *sounds* believable; whoever corrects it has to dig up facts, gather evidence, explain the context, and convince people who already heard the original. Because there are tons of possible false claims and only a few true ones, and checking always costs more than just asserting, a single person spreading off nonsense can flood everyone trying to fix it. It's not about who's smarter — it's that cleanup simply costs more than the mess. That's why a shared space like the internet can fill up with errors faster than anyone can correct them.
The Refutation Asymmetry
Brandolini's Law names a structural cost asymmetry between corruption and correction on a shared channel: producing a false or low-quality claim is much cheaper than refuting it. The producer only has to assemble a plausible-sounding assertion, while the corrector has to investigate facts, gather evidence, rebuild context, anticipate objections, and present it persuasively to an audience that already saw the original. This asymmetry is structural, not accidental: there are many possible false claims and few true ones, and checking something is inherently costlier than asserting it. The consequence is a saturation dynamic, where any system that corrects errors one by one can be flooded by a producer willing to spend modest effort, no matter how skilled the individual correctors are. The load-bearing piece is a two-role contest over a channel that carries both production and correction, plus a fixed correction budget of expert time and attention that doesn't scale with the production rate. When production gets cheap enough relative to correction and the channel is open enough, it fills with uncorrected error as a matter of arithmetic; it's a property of channel economics, not of anyone's truth-detection skill.
Brandolini's Law names a structural cost asymmetry between corruption and correction on a shared channel: producing a false or low-quality claim is materially cheaper than refuting it. The producer needs only to assemble a plausible-sounding assertion; the corrector must investigate facts, marshal evidence, reconstruct context, anticipate objections, and present the correction persuasively to an audience that has already encountered the original. The asymmetry is structural rather than incidental — it follows from the generativity of the claim space (there are many false claims and few true ones) combined with the inherent cost of verification relative to assertion. The consequence is a saturation dynamic: any system whose error-correction depends on point-by-point refutation can be flooded by a producer willing to spend modest resources, regardless of how competent any individual corrector is. The load-bearing structure is a two-role contest over a channel that propagates both production and correction, plus a *correction budget* — expert time, attention, infrastructure — that does not scale with the production rate. When per-unit production cost falls sufficiently below per-unit correction cost and the channel is sufficiently open, the channel fills with uncorrected error as a matter of arithmetic. The colloquial framing ('the bullshit asymmetry') and Brandolini's original 2013 statement were about online debate, but stripped of that vocabulary the pattern is asymmetric cost between corruption and correction on a shared, propagating channel. It is a property of channel economics, not of the truth-detection skill of participants — which is why it recurs wherever an open channel couples a cheap-to-produce attack to an expensive-to-produce defense.
Shifts the question from "is this claim true?" to "what is the cost ratio between making
and refuting it, and is the correction side resourced for the production rate?", and names a
second quantity — audience overlap — since a correction reaching only a subset of the
original audience cannot close the gap.
Diagnoses error-saturation with one move — estimate per-unit production cost, per-unit
correction cost, and the correction budget — and organizes interventions into a small set:
raise production cost, lower correction cost, amortize, restrict throughput, or refuse the game.
Treats any open propagating channel as a contest set less by who is right than by the
relative cost of producing claims and corrections, and looks first for where that ratio
can be flipped — including the generator-versus-instance move of refuting a class once.
Cybersecurity → discourse: shared threat-intelligence feeds are the "shared evidence pool" that lowers correction cost; class-level patching is "attack the generator."
Moderation → fact-checking: categorical classifiers plus posting friction beat out-reviewing the spammer, the same generator-and-production-cost levers.
Across all: a platform team rate-limiting shares, a security org minimizing attack surface, and a regulator writing a categorical rule are making the same move — change the cost ratio, not out-correct an adversary.
In cybersecurity defense the attacker needs one exploit through one path while the defender
must close the whole attack surface; finite analyst-hours are the bounded budget, alert
fatigue is the saturation, and the structural fixes are raising production cost (proof-of-work),
lowering correction cost (shared signatures), and attacking the generator (patching the class).
Brandolini's Law is not Anchoring because it is a channel-economics fact about the relative cost of producing versus correcting across many participants, whereas anchoring is a cognitive bias inside one mind.
Brandolini's Law is not an Information Cascade because it concerns production economics and saturates even with no imitation, whereas a cascade is belief propagation that can occur with symmetric costs.
Brandolini's Law is not Contagion because it adds a costly, capacity-limited correction side racing the spread, whereas contagion models only the spread of an item once produced.