What Entrepreneurs Can Learn from Calling Bullshit
Priya had built her seed-round deck around a growth chart that made her stomach knot whenever an investor lingered on it. The line climbed sharply, but the axis started three months after a slow launch quarter, erasing the flat beginning. Her advisor had suggested the framing, calling it telling the story right. Priya wondered whether that story was still connected to the company she actually ran. She had spent two years learning to spot exactly this move in competitors' materials, and now she was doing it herself. That night she rebuilt the slide with the real timeline, expecting a worse reaction. Instead the questions got sharper, because the room was finally arguing about her actual business instead of her chart.
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.
0 of 5 selected
The core lessons, applied to you
Reading your own metrics before you sell them
Priya's growth chart is the entrepreneur's most common trap: choosing a starting point, a percentage, or a sample because it produces the number a room wants to hear, not the fairest description of the business. The habit worth building is asking, before any number leaves a deck, where it came from and what got left out.
Some early metrics are genuinely noisy and short, so demanding a long, clean baseline can starve a young company of any story worth telling. Practice: before showing any number outside the company, write one sentence naming its starting point, its sample, and what was excluded.
Before showing any number outside the company, write one sentence naming its starting point, its sample, and what was excluded.
Pitch decks are exercises in visual persuasion
A hockey-stick slide is a visual decision as much as a data one: a truncated axis or a cherry-picked date range can turn an unremarkable trend dramatic. Priya's fix, restoring the real timeline, cost her a flattering slide but bought her a deck she could defend under any question.
Some early curves really are steep, and refusing every dramatic visual out of caution can make a genuinely strong trend look falsely modest. Practice: before finalizing a chart for outside eyes, redraw it once with a full axis and a longer window and see whether the story survives.
Before finalizing a chart for outside eyes, redraw it once with a full axis and a longer window and see whether the story survives.
Correlation, causation, and the story investors want
Founders fall into a version of the correlation trap: a feature ships and revenue rises the same month, and it is tempting to credit the feature rather than seasonality or a competitor's stumble. A claim is only useful if specific enough that a bad quarter could disprove it, rather than being explained away after the fact.
Startups rarely have the luxury of controlled experiments, so some causal claims will always rest on judgment rather than proof. Practice: for every claim that a change caused a result, name in advance one metric that would prove it wrong if it failed to move.
For every claim that a change caused a result, name in advance one metric that would prove it wrong if it failed to move.
Honesty with numbers as a founder's civic duty
Every deck and public claim a founder makes shapes how investors, employees, and customers understand the business, and getting the numbers right is a form of respect for everyone who acts on them. Priya's willingness to give a hard question a real answer is not cynicism about her own company; it is care for the people trusting her enough to invest, join, or buy.
The sharpest tension sits between building a persuasive narrative and testing that narrative against evidence that could contradict it, since a growing company genuinely needs momentum to survive. Priya cannot rebuild her deck every week, so the practical answer is reserving deep scrutiny for the numbers that actually drive a funding or hiring decision, letting smaller claims move faster.
Name one thing, honestly
- Which number in your current pitch or update would you be most uncomfortable defending under a skeptical question? - Where have you chosen a chart's starting point or scale because it looked better, rather than because it was fairest? - What would it cost you, this week, to test one causal story you tell about your own business?
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
0 of 3 selected
Run this for seven days
For every claim that a change caused a result, name in advance one metric that would prove it wrong if it failed to move.