The Science is Not Settled: How Weak Evidence is Fueling a National Push to Ban Social Media for Youth

As statehouses ramp up for 2026, we’re seeing a familiar and concerning trend of lawmakers rushing to regulate the internet based on shockingly shaky science. From the California State Assembly to the Massachusetts and Minnesota legislatures, a wave of bills is crashing against the digital lives of young people, with proponents of these measures framing social media access as a "public health epidemic," or a "mental health crisis," even though we have yet to see any of the settled science that those labels usually invoke.

As a digital rights organization dedicated to the civil liberties of all users, EFF’s expertise lies in reminding lawmakers that young people enjoy largely the same free speech and privacy rights as adults. EFF is not a social science research shop, but we can read the emerging research. What that research shows is much more nuanced than what is claimed by those proposing to ban young people from social media, and it is clear that research and theories used to justify these sweeping bans is far from settled. The rush to ban access to digital platforms is being fueled by "pop psychology" narratives and a collection of statistically flawed studies that do not meet the rigorous standards required for such a massive infringement on youth autonomy and constitutional rights.

The Lie of A "Settled" Consensus

The current legislative push relies heavily on a specific, media-friendly narrative that the "great rewiring" of the adolescent brain is a proven fact. This theory suggests that smartphones and social media are the primary, if not sole, drivers of a global uptick in teen anxiety, depression, eating disorders, self harm, etc. While this narrative makes for a compelling airport-bookstore read, it quickly collapses under the scrutiny of the broader scientific community.

Independent researchers, including developmental psychologists from institutions like the University of California, Irvine, and Brown University, have repeatedly found that the evidence for such claims is mixed, blurry, and often contradictory. Large-scale