Brandolini's Law: The 10:1 Asymmetry That Explains Why Your Crisis-Comms Team Is Always Understaffed

60-Second Summary

Alberto Brandolini (2013): 'The amount of energy needed to refute bullshit is an order of magnitude larger than the energy needed to produce it.' Also known as the Bullshit Asymmetry Principle.
The 10:1 ratio is approximate but empirically defensible in information environments — one falsehood typically requires 10× the effort to refute, and often more to displace once it has spread.
Applied to HR: one hostile Glassdoor review, one Slack rumour, one all-hands ambush question, one leaked comp screenshot. The energy imbalance is real, quantifiable, and systematically ignored in staffing.
Crisis-comms and ER teams are almost always resourced as if the ratio were 1:1. The under-staffing is not a budget problem — it is a failure to model the asymmetry.
The 10:1 staffing model: for every FTE producing external-facing content, an organisation exposed to reputational risk needs roughly 1 FTE of monitoring and rapid-response capacity. Almost nobody staffs to this level, which is why crisis response is chronically reactive and expensive.

Alberto Brandolini is an Italian programmer who has spent his career thinking about how information flows in organisations. In 2013, watching a televised political debate in Italy, he tweeted an observation that he had probably been formulating for years: 'The amount of energy needed to refute bullshit is an order of magnitude larger than the energy needed to produce it.' The tweet, and the observation, became known as Brandolini's Law or the Bullshit Asymmetry Principle. It has since become the single most useful sentence anyone can put on the wall of a crisis-comms or employee-relations team, because it names a mechanism that most organisations refuse to model — and pay for, over and over, in the failure to do so.

Where the law comes from

“The amount of energy needed to refute bullshit is an order of magnitude larger than the energy needed to produce it.”
— Alberto Brandolini, 2013 (originally on Twitter, now widely cited)

Brandolini's law has no formal proof. It is an empirical generalisation from information-environment observation. The 10× ratio is approximate; in practice it ranges from ~5× to ~50× depending on the medium, the audience, and the pre-existing belief structure. What is durable is the direction and order of magnitude of the asymmetry. Production of a false or misleading claim requires assertion. Refutation requires: sourcing, methodology explanation, counter-narrative construction, distribution matching the original, and — most costly — displacing the emotional resonance of the original in the audience's memory. Each of these steps is more expensive than the original assertion. Together they compound to roughly an order of magnitude.

Why refutation is systematically harder

Five structural asymmetries that make refutation 10× harder

1
1. Assertion vs evidence
Producing a claim requires zero evidence. Refuting a claim requires sourced, methodologically sound counter-evidence. The evidentiary burden is entirely on the refuter.
2
2. Emotional resonance
Assertions that spread are emotionally resonant. Refutations are typically technical, careful, and unemotional. The refutation loses on distribution even when it wins on truth.
3
3. Distribution mismatch
The original claim spreads through networks selected for spread. The refutation reaches the subset of the original audience that returned for the follow-up — typically 10–20%. The refutation systematically under-reaches.
4
4. Backfire and continued-influence effects
Even successful refutation often leaves residual belief in the original claim (Lewandowsky et al., 2012, on continued-influence effect). The refutation doesn't fully replace the false belief — it partially co-exists with it.
5
5. Cognitive-cost asymmetry to the audience
Believing the original claim is cognitively cheap. Updating a belief after refutation is cognitively expensive. The audience preferentially retains the cheaper cognitive state.

6×

faster spread of false news than true news on social platforms

Vosoughi, Roy & Aral (2018), MIT — Science

~20%

of original audience typically reached by a refutation

Various fact-checking studies (Guess, Nyhan, Reifler, etc.)

40–60%

of respondents retain some belief in the original false claim even after successful refutation

Continued-influence effect literature (Lewandowsky et al., 2012)

Where the asymmetry hits HR

Six high-asymmetry surfaces in modern HR

1
The hostile Glassdoor review
45 minutes to write. 40 hours of ER work to investigate, respond, and — if warranted — reach out to the poster. The response usually reaches a fraction of the original readership. The review persists on the profile for years.
2
The leaked comp screenshot
10 seconds to share. Weeks of comp-committee, legal, and comms response. The correction never fully catches the original because the emotional resonance ('X is paid Y') exceeds any nuanced compensation-band explanation.
3
The all-hands ambush question
30 seconds to ask. Days of executive prep for the follow-up all-hands, plus revised messaging, plus internal Q&A refresh, plus manager cascade training. The refutation's reach is bounded by the manager cascade's fidelity — usually 40–60%.
4
The departing exec's parting Slack message
5 minutes to post. Months of narrative recovery. The parting message frames the exec's tenure permanently in the memory of colleagues; the official narrative rarely displaces it.
5
The single high-visibility layoff mishandling
One botched conversation. Years of employer-brand damage measurable in offer-acceptance rates. Recovery investment is 20–50× the cost of doing the original conversation well.
6
The viral internal-culture LinkedIn post
Two hours to write. Months of narrative work by employer-brand. Reach is often larger than the company's own careers-site traffic, and the correction has no comparable distribution.

The 10:1 staffing formula

The formal statement: for every full-time equivalent producing external-facing content (recruitment marketing, employer brand, internal comms, exec communications), an organisation exposed to reputational risk needs roughly 1 FTE of monitoring, rapid-response, and refutation capacity — because the refutation cost of adverse content is roughly 10× the production cost, and adverse content is roughly 1/10 of total content.

The staffing model most CFOs will fund

The 10:1 formula sounds expensive. In practice it usually means adding 1–2 FTE to a team of 8–12. The CFO's reaction is 'that's a lot for crisis-response'. The correct reframe is 'that's the level required for our current external exposure — the alternative is that the CEO and CHRO spend 20+ hours per quarter on response we could have handled in 4'. The comparison that wins the budget is executive-time-saved, not FTE-added.

Playbook for the asymmetric fight

Pre-position responses. The 10 most likely adverse claims (layoffs, comp inequity, executive misconduct, product-linked HR incidents) get pre-approved response frameworks. Response speed drops from days to hours; asymmetry cost drops with it.
Match distribution. A refutation on the same channel as the claim closes the reach gap. A refutation on a different channel loses. This is why leaked-screenshot response belongs on the same Slack, not in a formal email.
Reach the emotionally resonant audience first. Managers of the affected function get direct explanation before the aggregate response. The manager cascade closes the reach gap when the response is worth the cascade cost.
Refute the mechanism, not the specifics. 'This is not how our comp bands work — here is how they do work' beats 'the number in the screenshot is wrong.' Mechanism-level refutation transfers to future claims; specific refutation only handles this one.
Publish the process, not just the answer. 'Here is how we investigated this claim, what we found, and what we're changing' is more durable than 'the claim is false'. Process refutation is 3–5× more resilient than assertion refutation.
Measure refutation reach vs original reach. If the refutation is reaching 20% of the original audience, the fight is being lost even when the content is correct. Reach is the metric, not correctness.
Reserve capacity for the asymmetric fight — don't cannibalise it from routine work. Crisis-response teams that spend 80% of their time on routine work don't have capacity when a real event lands, and the routine work absorbs the buffer that was supposed to protect against the tail.

The staffing mistake that repeats

Every organisation eventually experiences an event where crisis-comms is 3× under-staffed. The response is to bring in agency support for 4–6 weeks at 10× the cost of permanent staffing, extract a lesson, and then not fund the permanent capacity. Six quarters later, the same event happens. This is a Brandolini pattern — the asymmetry is real, is predictable, and is systematically under-funded because it is not modelled in the staffing plan.

FAQ

Frequently asked questions

Isn't 10:1 too pessimistic?

In some environments, yes — homogeneous, small-audience contexts show ratios closer to 3:1. In heterogeneous, large-audience, socially-networked contexts, the ratio is often higher than 10:1. The order of magnitude is the point; the exact multiplier is context-specific.

Does this argue against transparency?

No — transparency reduces the surface for asymmetric attack because there are fewer information voids for false claims to fill. A high-transparency organisation faces fewer Brandolini events per unit time, even though the ratio per event remains asymmetric.

How does this relate to Semmelweis Reflex?

Semmelweis: rejection of findings that imply leadership caused harm. Brandolini: refutation of claims is systematically harder than their production. Both are asymmetries in information systems; both are systematically under-funded because they are unintuitive.

Takeaways

Refutation costs roughly 10× production. The ratio is empirical, context-dependent, and durable in direction.
The asymmetry is structural — evidentiary burden, emotional resonance, distribution mismatch, continued-influence, cognitive-cost — not fixable by better response.
Modern HR faces this asymmetry constantly: reviews, screenshots, ambush questions, parting messages, viral posts.
The 10:1 staffing formula — 1 FTE of response capacity per 1 FTE of external-facing production — is the model most organisations fail to fund and then repeatedly pay agency rates to substitute for.
The right pitch to the CFO is not FTE-added; it is executive-time-saved and reputational-cost-avoided.