The Continued Influence Effect was first clearly defined through research conducted by psychologists Colleen Seifert and Hollyn Johnson in the 1990s. Their experiments showed that misinformation, once presented, continued shaping people’s understanding of events, even after the misinformation was explicitly corrected. Participants often failed to fully replace initial false explanations with corrected information, demonstrating a persistent influence.

Additional studies throughout the 2000s expanded these findings, uncovering that the persistence of misinformation isn’t merely due to forgetfulness or confusion. Rather, it’s linked to how our minds construct narratives. When we initially encounter information, we incorporate it into a mental story or explanation of events. When corrections come later, simply retracting a piece of that story often isn’t sufficient, because our brains prefer coherence, even a false but complete narrative is more compelling than a corrected yet fragmented explanation.

With the explosion of digital communication, particularly social media, the Continued Influence Effect has gained broader attention. Misinformation spreads rapidly online and can become deeply ingrained in collective memory, even after clear, fact-based corrections. This has implications ranging from public health campaigns and politics to daily organizational communications.

Continued Influence Effect doesn’t just distort facts. It impacts relationships, strategy, and trust. Teams that don’t actively track and correct internal misinformation may find themselves solving the wrong problems, or worse, blaming the wrong people.

For teams, the Continued Influence Effect plays out in subtle but consequential ways. The problem isn’t just about “fake news.” It shows that casual comments, flawed documentation, or early, unvalidated hypotheses can quietly shape a team’s long-term thinking.

Say someone offhandedly says during a planning meeting that “user drop-off is probably due to the onboarding flow being too long.” No one has validated it yet, but the idea spreads. A week later, people are referencing it in design reviews and roadmap discussions. By the time actual user research shows the real issue was somewhere else, the onboarding redesign is already in motion.

That’s Continued Influence Effect in action.

Let’s say a stakeholder sends out a status update that says, “The last release caused a spike in support tickets.” That statement turns out to be wrong. The tickets were actually unrelated. But it’s too late. The narrative sticks. Future feature discussions might come with added caution or resistance to shipping “risky” features, based on a faulty memory of that event.

Over time, CIE can reshape team reputation, trust, and how future incidents are handled. If an early draft of a postmortem inaccurately attributes blame to a specific team or decision, that detail can carry forward, even after updates or clarifications.