What Students/Young Adults Can Learn from Calling Bullshit
Kayla was scrolling her feed between classes when a post stopped her thumb: a chart claiming a dramatic shift in some trend relevant to her generation, shared thousands of times with a caption that made it sound urgent and obviously true. She almost reposted it, then remembered a professor's offhand comment about checking where a chart's axis actually started before trusting its slope. She zoomed in and noticed the numbers along the side barely changed, even though the line looked steep. The caption had picked the most dramatic possible framing of an otherwise modest shift. Kayla felt a jolt of annoyance at almost being fooled, and pride at catching it. She did not repost the chart, and saved the habit for the next time her feed looked too clean to be entirely honest.
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
Catching the cherry-picked number before you share it
Kayla's near-repost is the everyday version of the book's warning: a caption built around the most dramatic reading of a number spreads faster than a careful one. The habit worth building is a brief pause before sharing, asking what number sits behind the claim and whether a less dramatic version would still be true.
Pausing on every post is unrealistic given how much content moves through a feed daily, so the habit has to be selective rather than constant. Practice: before resharing a claim built around a number, spend fifteen seconds looking for its source.
Before resharing a claim built around a number, spend fifteen seconds looking for its source.
Reading a chart before the caption reads it for you
A steep line with no visible axis numbers is a caption's best friend, since the shape does the persuading before anyone checks the scale. Kayla's habit of zooming in on the numbers first, rather than absorbing the caption's framing, turned a claim that felt urgent into one that was unremarkable.
Some charts lack full detail because of platform formatting, not intent to mislead, so missing labels alone are not proof of dishonesty. Practice: before trusting a chart on a feed, read the numbers on both axes before reading the caption again.
Before trusting a chart on a feed, read the numbers on both axes before reading the caption again.
Not every trend that rises together has one cause
Feeds are full of claims linking two things that moved together, implying one caused the other while ignoring simpler explanations like coincidence or a shared cause. A claim is worth taking seriously only if it says what evidence would prove it wrong, rather than fitting no matter what happens.
Some real causal relationships do show up first as an online trend, so instant dismissal is as lazy as instant belief. Practice: the next time a post links two trends, write one alternative explanation before deciding whether to believe it.
The next time a post links two trends, write one alternative explanation before deciding whether to believe it.
Skepticism as a habit that respects your own feed
Building the habit of checking claims before sharing them is not about becoming distrustful of every account you follow. It is a way of respecting the people who will see what you post, and respecting your own future self, who will one day be judged by the accuracy of what you spread today rather than by how quickly you shared it.
The sharpest tension for students is between the social reward of sharing something fast and the discipline of checking it first, since a post loses relevance the longer it takes to verify. Kayla's workable compromise is reserving real scrutiny for claims that feel emotionally charged or unusually dramatic, since those are most likely to be built around a cherry-picked number, treating low-stakes posts more casually. Speed and care then apply to different kinds of claims rather than competing for the same moment.
Name one thing, honestly
- What is the last thing you shared online without checking the number or chart behind it? - How do you decide whether a claim from a friend deserves less scrutiny than one from a stranger? - What would change if you treated your feed the way you treat a source in a school assignment?
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
The next time a post links two trends, write one alternative explanation before deciding whether to believe it.