The Decoder
Every tactic, mapped to the stage it serves, the biases it exploits, and the evidence behind it. Filter by evidence strength to see only the well-replicated claims — or to find the ones we’ve flagged as contested.
A high reference price (or a deliberately unattractive ‘decoy’ option) is shown first so the option the seller wants you to pick looks like a bargain by comparison — your judgement is pulled toward the anchor before you ever weigh the thing on its own merits.
Your behavior — clicks, dwell time, location, social graph — is captured as raw material well beyond what is needed to provide the service, then refined into predictions about you that are sold. The product is partly a means of producing that surplus.
The decline option is worded to shame you (‘No thanks, I don’t want to save money’) or phrased as a confusing double negative, so the easy, dignified path is to consent. It exploits the friction of re-reading and the social sting of the framing.
An artificial deadline or ‘almost sold out’ message manufactures urgency, pushing you to act on impulse (System 1) before deliberating — and the fear of missing out leans on loss aversion. Many such timers reset on refresh or are entirely fabricated.
Once you are locked in, the platform reallocates value in stages: first it is good to users; then it abuses users to favor business customers; then it abuses those business customers to claw value back for itself — degrading the product because leaving has become costly.
The feed’s hook is a stream of bodies and lives edited toward an unattainable ideal — professionally shot, filtered, AR-augmented, or outright synthetic. Because we compare upward against whatever is in front of us, a diet of idealised images quietly resets ‘normal’ and erodes satisfaction with one’s own face and body. The comparison keeps you scrolling, and the dissatisfaction keeps you coming back.
The feed never ends and the next item loads automatically, so there is no natural ‘stopping cue’ — the small moment where you’d decide whether to continue. Combined with unpredictable rewards, it keeps you scrolling past the point you meant to stop.
The oldest move in advertising, now industrialised by the feed: locate (or manufacture) a gap between who you are and an idealised who you ‘should’ be, then keep that gap salient. Humans evaluate themselves by comparing to others (social comparison) and feel the actual–ideal gap as low self-worth (self-discrepancy). A platform that can keep you measuring yourself against an unreachable ideal has primed you for everything that follows.
The final turn of the loop: the platform sells access to the very insecurity its feed helped create. Behavioural and emotional signals can identify when a user feels low or appearance-anxious, and advertisers of beauty, diet, cosmetic, and ‘self-improvement’ products bid for exactly that moment. The dissatisfaction manufactured upstream becomes a targetable, sellable state downstream — and the products promise to close a gap the feed keeps reopening.
Endless, low-effort consumption — scrolling without posting or interacting — maximises exposure to other people’s curated lives while giving you nothing back. This ‘passive use’ is the mode most consistently linked to feeling worse, because it is pure upward comparison plus fear of missing out, with none of the connection that active interaction can provide. The design goal is time-on-feed; the by-product is a slow erosion of how you feel about your own life.
Signing up takes one click, but cancelling is buried behind phone trees, retention offers, and multi-step flows. The asymmetry of effort — easy in, hard out — is itself the trap: as long as leaving hurts more than staying, you stay.
Once the platform has made social approval feel like a readout of your worth (sociometer), it meters that approval out as likes, follows, and views — delivered on an unpredictable, variable-ratio schedule, the most engagement-maximising and habit-forming of all. Your self-esteem becomes coupled to a number the platform controls. Leaving now means abandoning not just an app but an accumulated, quantified sense of standing — which is exactly the switching cost the Trap is built on.
An ecosystem makes its parts work seamlessly with each other but deliberately worse with rivals, so the cost of leaving climbs with every device, file, contact, and habit you add. The lock-in is engineered, not incidental.
No tactics match those filters. .