Who Counts in the Phone-Ban Evidence?

Earlier this month, Emily Oster published a New York Times op-ed arguing that school phone bans haven’t done much for academics but that schools should keep them anyway. I wrote an annotated edition of that piece — I think she misreads several of the studies she cites. But the debate she is contributing to, on both sides, has a larger problem: it is almost entirely about whether bans help the average student, and almost silent on what they cost the students who depend on their phones to learn.

At least 37 states and the District of Columbia now require school districts to ban or restrict student cellphone use. The latest major study, of lockable pouches that seal phones away for the school day, found mixed results on academics and a 16 percent increase in suspensions. Neither that study nor any of its predecessors asked what happens to students whose phones are not distractions but medical devices, assistive technology, or required accommodations.

For some students, a phone is not a distraction. It runs the receiver and alert system for a continuous glucose monitor worn by a student with Type 1 diabetes. It runs the speech-generating app a nonspeaking autistic student uses to communicate. It runs the real-time captioning tool for a deaf student. 2024 federal guidance recognizes that a student’s own phone can be required assistive technology under the Individuals with Disabilities Education Act, and the U.S. Department of Education has directed schools not to discipline a child for using their own device as an agreed-upon accommodation.

Many phone-ban policies carve out exceptions for these students. But the carve-outs create a problem of their own. They often require students to be visibly identified — to peers, to teachers, to security staff — every time they use the accommodation. A federal Title II guidance document, jointly issued by the Departments of Justice and Education, is unambiguous: auxiliary aids must be provided in a way that does not “unnecessarily disclose the nature and extent of an individual’s disability.” Many ban-then-exempt designs push in precisely the opposite direction.

LAist’s reporting on the Los Angeles cellphone ban described students with disabilities who stopped using accommodations after the policy took effect. One had an accommodation in her individualized education plan that let her use her phone during school. After the ban, she stopped. The right still existed on paper. Using it meant making the accommodation visible, every time. Disability advocates call this a chilling effect: the accommodation exists, but using it comes with a cost. Researchers studying users of augmentative and alternative communication have documented stigma as a barrier to use.

As a data scientist who works on social justice issues, I read published research both for what it measures and who it leaves out. The strongest case for school phone bans rests on a small set of recent studies. The new lockable-pouch study found mixed effects on test scores and a 16 percent year-one increase in suspensions, with effects that fade over time. A Florida study found test-score gains alongside a 12 percent first-year increase in suspension rates overall, and roughly a 30 percent increase in in-school suspensions among Black students. These studies are careful work.

But they do not ask whether disabled students lost access to assistive technology. They do not ask whether accommodations were honored in practice. They do not ask whether students were disciplined for disability-related device use, or stopped using approved supports because doing so revealed their disabilities.

The same gap appears in the broader research literature. The largest 2026 meta-analysis of digital media and child health, published in JAMA Pediatrics and synthesizing 153 studies from 18,933 articles screened, explicitly excluded any sample “recruited due to a medical condition or use of medication.” That is the first exclusion criterion listed in its published methods. At multiple points in the evidence pipeline, disability disappears — into a control variable, into a sample exclusion, into a study question that was never asked.

Three changes would close the gap. First, a student should not be suspended for using a device that an IEP, 504 plan, or health-care plan requires. Second, exemption procedures should not force students to publicly identify themselves as disabled. A pre-arranged, private understanding with a teacher works; a hall pass that announces the accommodation does not. Third, school districts should track and report exemption denials, confiscations, and discipline by disability status, the way many now track them by race.

A policy is not evidence-based if the evidence never asked who lost access. Until that question is on the table — measured, reported, and answered — phone bans are evidence-based for the students who were studied, and an experiment for the rest.