What Creators/Innovators Can Learn from Calling Bullshit
Nadia was building the launch page for a product she had spent a year developing, and the analytics widget her design team suggested made early signups look explosive by starting the growth chart on the single best day of the month. She stared at the mockup, torn between wanting the page to convert and wanting it to be honest. She thought about the users who would decide based on that chart, people trusting her the way she trusted creators whose claims she had once believed too quickly. She asked her team to rebuild the chart with the full month shown, though the resulting line looked far less dramatic. The page converted slightly worse in early testing, but the users who signed up asked fewer confused questions later, because the promise they had believed matched what they actually got.
The whole book, compressed
This edition works through 4 core lessons — take them one at a time, not all at once.
What's different for your conditions
Tap whichever ones sound like you. Nothing here is sent or saved — it's just for your own noticing.
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The core lessons, applied to you
Choosing a fair starting point for your own growth story
Nadia's launch chart is a direct version of the book's warning about a chosen starting point: picking the single best day to open a chart manufactures drama the full picture does not support. The habit worth building is showing the whole relevant time window by default, treating any shorter window as something needing a stated reason.
A genuinely strong short-term result sometimes deserves highlighting, and defaulting always to the longest window can bury real news. Practice: before publishing a growth chart, build the honest full-window version first and only shorten it with a stated reason.
Before publishing a growth chart, build the honest full-window version first and only shorten it with a stated reason.
Designing a chart that persuades without distorting
Visual choices such as a truncated axis or a dramatic color scheme can make a modest result look remarkable without a single false number appearing on the page. Nadia's decision to keep the axis honest, even at a cost to conversion, protected users from a first impression the data could not back up.
Some honest design choices, like a log scale for a wide range of values, can look unusual to casual viewers without being deceptive. Practice: show a launch chart to someone unfamiliar with the product and ask what they think it proves before you publish it.
Show a launch chart to someone unfamiliar with the product and ask what they think it proves before you publish it.
Not every early success has the cause you want it to have
When a new feature ships alongside a spike in engagement, a creator naturally wants to credit the feature, but a mention elsewhere or simple timing could explain the same spike. A claim about what drove a result should specify what a flat week would have meant, rather than explaining any outcome.
Early products rarely have enough data for a clean causal test, so some judgment calls are unavoidable at this stage. Practice: before crediting one feature for a spike, list one other thing that changed alongside it.
Before crediting one feature for a spike, list one other thing that changed alongside it.
Building trust with an audience as the real long game
A creator's audience is not just watching the product, they are watching how the creator handles uncertain or unflattering numbers. Nadia's choice to show the honest chart, even knowing it would convert fewer visitors, was an investment in the kind of trust that keeps an audience past the first launch, treating their attention as something to respect rather than simply capture.
The sharpest tension for creators is between the commercial need for a persuasive launch and the discipline of representing early, thin data honestly, since a young product genuinely needs momentum to survive its first weeks. Nadia's workable answer was reserving full transparency for claims closest to the actual product experience, the ones a disappointed user would notice immediately, while allowing more ordinary marketing enthusiasm elsewhere.
Name one thing, honestly
- Which chart on your launch materials would look different starting on an average day instead of your best one? - How would your audience react if they learned exactly how a favorite statistic of yours was built? - What is one place in your materials where enthusiasm has quietly replaced evidence?
Good. Now look back at the "Try this" line under whichever lesson feels most connected to what you just wrote, and treat that as this week's actual assignment — not all 4 at once.
The practices from this edition
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Run this for seven days
Before crediting one feature for a spike, list one other thing that changed alongside it.