Parasitism
Parasitism is what's happening when a product keeps users engaged with something other than what they came for. The user arrived wanting some real-world result, and the product redirects that pursuit into substitutes that feel close enough to keep them coming back: variable rewards, manufactured urgency, attention loops, fear-and-scarcity framings. Continued use is evidence the redirection is working, not that the user is getting what they wanted.
Definition
Parasitism is the configuration where an offering redirects the user's pursuit into engagement that substitutes manufactured pseudo-states for the sought state that drove the user to the offering.
Misdirected flow
A biological parasite doesn't generate energy from nothing — it intercepts energy already being processed for the host's benefit. Parasitism in offerings works the same way. The user arrives with their own energy and their own sought state. A parasitic offering doesn't drain energy from them; it intercepts that energy mid-pursuit and routes it into engagement that doesn't deliver the state they were seeking.
This distinguishes parasitism from the common intuition that parasitic offerings deplete the user directly. The user is still spending their own energy; the energy just goes somewhere that doesn't serve them. Continued engagement registers the redirection succeeding, not whether the user is being served.
Manufactured pseudo-states
The substitution happens at the level of the sought state itself. A parasitic offering produces engagement loops that resemble the texture of a sought state without delivering one:
- Variable-reward loops produce anticipation and momentary reward in place of the satisfaction the user was after.
- Novelty-seeking surfaces produce stimulation in place of connection, learning, or rest.
- Attention-capture mechanics produce held attention in place of whatever the held attention was supposed to enable.
The user's regulatory mechanism — the continuous check of whether engagement is producing progress toward the sought state — is what parasitic designs work around. Manufactured felt-need (fear framings, social comparison, scarcity prompts) installs a sought state the user doesn't actually hold. Dark patterns and attention manipulation override the regulatory mechanism's adjustment signal, keeping the user engaged through the moment when their own evaluation would otherwise prompt them to disengage.
Why the apparatus reads positive
The framework's apparatus is built to optimize the mutualistic engine. Applied to a parasitic offering, it optimizes the wrong engine, and its metrics still register the offering as working. Engagement is high, retention is strong, outcome proxies fire reliably. The behavior the metrics track is exactly the redirected engagement parasitism produces.
Parasitic offerings run on a different engine than the one the framework's apparatus is built for. In self-serve SaaS at scale, that engine isn't sustainable: parasitism eventually breaks the user-side energy supply — through depletion, rejection, or capture confined to regulation-impaired sub-populations — which breaks business-side capture too.
Example
The infinite-scroll social feed is the canonical case. A user opens the app with a sought state — seeing what friends are doing, filling an idle moment, decompressing. The algorithm redirects that pursuit into engagement with content from strangers selected to retain attention rather than to deliver any of those states. The user is still spending their own energy and attention; the energy goes somewhere that doesn't satisfy what they came for.
By apparatus metrics this looks excellent — session length up, return frequency up, ad inventory exposed. The user-side signal is the gap between metric quality and self-report: users routinely describe feeling worse after using these products, not better. The regulatory mechanism eventually registers the mismatch, even when the design has overridden it in the moment.