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C6 Phones in lessons

narrowed Attack 1 on C6, 2026-10-07: narrowed (Allcott, Baron, Dee, Duckworth, Gentzkow & Jacob 2026 (preprint))Attack 2 on C6, 2026-10-09: narrowed (Shi & Villarroel 2026 (preprint))Attack 3 on C6, 2026-10-09: survived (Figlio & Özek 2025 (preprint))Attack 4 on C6, 2026-10-11: survived (Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint))Attack 5 on C6, 2026-10-14: survived (Sungu, Choudhury & Bjerre-Nielsen 2026) 5 attacks: 3 survived, 2 narrowed · serves Q2 · last change 28 October 2026

When pupils' own phones and other personal devices are freely available during lessons, pupils learn less in some settings than when the school bans or restricts them (for example by collecting phones), measured on learning outcomes such as test results and grades, but an average effect of restricting them is not established. Gains after bans have been found in some settings and groups (England, driven by the lowest-achieving pupils; girls in Norway; maths in US high schools), while a Swedish study found no improvement, a large preregistered US study of schools that locked pupils' phones away in pouches for the school day found average test-score effects close to zero, ruling out gains larger than about 0.007 standard deviations, with small losses in middle schools (Allcott et al. 2026, a working paper not yet peer reviewed), and classroom-level teacher restrictions in Chile left standardised test scores unchanged (ruling out gains of about 0.03–0.06 standard deviations), with only a modest drop in recreational phone use among eighth graders and a small drop in how capable pupils felt (Shi & Villarroel 2026, a working paper not yet peer reviewed).

In practice

Restricting pupils' own phones and personal devices during lessons, for example by collecting them, has raised results in some schools and for some groups; do not count on it to raise average test results by itself.

Go deeper

Where it holds

Main limits

All limits (20)

Inside the circle: the core of the claim. Outside: every bound and carve-out in the claim file, numbered, with the attack that forced or added it where the record shows one.

forced by a narrowing attackin the original wordingwritten at creation, or added without a narrowing

Warm cards in the list were added by later attacks; plain cards were in the original draft or written at creation.

Where C6 holdsThe core of C6 sits inside the circle. 20 bounds and carve-outs sit outside the boundary, numbered; the numbered list after the diagram gives each one in full with the attack that forced it.C6 · coreIn some settings, freelyavailable personal devicesin lessons lower learningcompared with a ban orrestriction; an averageeffect is not established.1Scope: pupils' own phones andpersonal devices that are …at creation2School-provided 1:1 programmesare C9.at creation3Evidence in the project:Beland & Murphy 2016 (England, …at creation4Laboratory mechanism evidencewith university students, not …at creation5Bans differ in enforcement:OECD 2024 reports, from …at creation6Average-effect bound (added2026-10-07, nightly attack): …#1 Allcott, Baron, Dee, Duckworth, Gentzkow & Jacob 2026 (preprint)7Classroom-restriction bound(added 2026-10-09, nightly …#2 Shi & Villarroel 2026 (preprint)8Kill-test survived (added2026-10-09): Figlio & Özek …#3 Figlio & Özek 2025 (preprint)9Kill fails (scores rose).#2 Shi & Villarroel 2026 (preprint)10Correction 2026-10-26: allschools in the district were …#6 Figlio & Özek 2025 (preprint)11Year one showed no significantgain (+0.283 percentiles, SE …#6 Figlio & Özek 2025 (preprint)12Contrast is exposure intensityunder one ban, not ban vs no …#4 Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint)13Kill-test survived (added2026-10-11): Lichand, …#4 Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint)14Kill fails (scores rose).#2 Shi & Villarroel 2026 (preprint)15Contrast is exposure intensityunder one ban, not ban vs no …#4 Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint)16Kill-test survived (added2026-10-14): Sungu, Choudhury …#5 Sungu, Choudhury & Bjerre-Nielsen 202617Kill fails (grades rose).#2 Shi & Villarroel 2026 (preprint)18HEI population, not K–12.#5 Sungu, Choudhury & Bjerre-Nielsen 202619Beneito & Vicente-Chirivella2022 (Spain) remains cited as …#4 Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint)20Not: School-providedone-device-per-pupil …at creation
  1. Scope: pupils' own phones and personal devices that are freely available during lessons, compared with a ban or restriction, measured on learning outcomes (tests, grades), not on calm, wellbeing or reported distraction alone.

    Written when the claim was created (6 October 2026); not forced by an attack

  2. School-provided 1:1 programmes are C9.

    Written when the claim was created (6 October 2026); not forced by an attack

  3. Evidence in the project: Beland & Murphy 2016 (England, difference-in-differences: after school phone bans, high-stakes results rose by about 0.07 SD on average, driven by the lowest-achieving pupils, per source note); Abrahamsson 2024 (Norway, lower secondary, staggered difference-in-differences: the average effect was null but masked gains for girls, including grades and externally marked maths, per source note); Kessel et al. 2020 (Sweden, grade 9, difference-in-differences: no improvement in pupil results after school phone bans, rejecting effects of the size Beland & Murphy found); Campbell et al. 2024 (scoping review of 22 studies, no randomised trials, mixed results).

    Written when the claim was created (6 October 2026); not forced by an attack

  4. Laboratory mechanism evidence with university students, not lessons: laptop multitasking lowered lecture comprehension for the user and for peers who could see the screen (Sana, Weston & Cepeda 2013); the mere presence of one's own smartphone lowered available cognitive capacity (Ward et al. 2017).

    Written when the claim was created (6 October 2026); not forced by an attack

  5. Bans differ in enforcement: OECD 2024 reports, from correlational data, that where phones are banned about 29 % of students still use a smartphone often (source note).

    Written when the claim was created (6 October 2026); not forced by an attack

  6. Average-effect bound (added 2026-10-07, nightly attack): Allcott, Baron, Dee, Duckworth, Gentzkow & Jacob 2026 (NBER Working Paper 35132, preprint, not peer reviewed when applied; preregistered staggered difference-in-differences, 1,778 US middle and high schools adopting lockable Yondr pouches in 2023–2025 versus 42,919 never-adopters; full text read): before adoption most adopters had a no-show rule or no rule, and teacher-reported personal phone use in class fell from 61 % to 13 % of pupils; pooled test-score effect −0.006 school-level SD (SE 0.010), about −0.003 student-level SD, ruling out gains above about 0.007 student-level SD; high schools +0.026 (maths +0.047, significant, about 0.024 student-level SD), middle schools −0.025 (significant); at most three years after adoption, school-level outcomes.

    Forced by attack #1 · Allcott, Baron, Dee, Duckworth, Gentzkow & Jacob 2026 (preprint) · 7 October 2026

  7. Classroom-restriction bound (added 2026-10-09, nightly attack): Shi & Villarroel 2026 (EdWorkingPaper 26-1413 / IZA DP 18426, preprint, not peer reviewed when applied; full text read): Chile pre-pandemic classroom-level teacher phone restrictions, within-teacher and within-student designs; grade 8 recreational phone use −3 pp (~4% of mean), grade 10 no behavioural change; test scores near zero (Table 3: grade 8 teacher-FE 0.007 SE 0.026; grade 10 −0.003 SE 0.027; student-FE −0.012 / 0.005), ruling out gains of about 0.03–0.06 SD; grade 8 perceived capability −0.023/−0.022 (~2+ pp, ~3%).

    Forced by attack #2 · Shi & Villarroel 2026 (preprint) · 9 October 2026

  8. Kill-test survived (added 2026-10-09): Figlio & Özek 2025 (NBER WP 34388 / EdWorkingPaper 25-1315, preprint, not peer reviewed when applied; full text read): Florida LUSD all-day backpack ban DiD, high vs low pre-ban Advan smartphone activity; year-2 scores +0.622 percentiles overall (p < .05), spring +1.083, middle/high year 2 +0.905 / spring +1.333; first-year discipline surge then fade; unexcused absences down.

    Added with attack #3 (survived; it did not narrow the claim) · Figlio & Özek 2025 (preprint) · 9 October 2026

  9. Kill fails (scores rose).

    Forced by attack #2 · Shi & Villarroel 2026 (preprint) · 9 October 2026

  10. Correction 2026-10-26: all schools in the district were under the same rule (phones in backpacks for the entire school day, including lunch), and the estimate compares schools with high and low phone activity before the ban, so no group kept free access; the authors call it a lower bound for the policy's effect.

    Added with attack #6 (corrected; it did not narrow the claim) · Figlio & Özek 2025 (preprint) · 26 October 2026

  11. Year one showed no significant gain (+0.283 percentiles, SE 0.257), and the year-two gain was not significant for elementary schools (+0.509), girls (+0.455) or Black students (+0.657) (Table 3).

    Added with attack #6 (corrected; it did not narrow the claim) · Figlio & Özek 2025 (preprint) · 26 October 2026

  12. Contrast is exposure intensity under one ban, not ban vs no ban.

    Added with attack #4 (survived; it did not narrow the claim) · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · 11 October 2026

  13. Kill-test survived (added 2026-10-11): Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (NBER WP 35233, preprint, not peer reviewed when applied; full text read; ATTN-011): Rio de Janeiro city-wide ban on non-pedagogical phone use (classroom phase Aug 2023, school-wide Feb 2024), DiD of middle schools with partial or no prior rules against schools already strict (matched sample 97,380 pupils, 154 schools); maths+Portuguese index +0.061 SD (SE 0.028, p < .05) after the school-wide ban, maths +0.077, Portuguese +0.045 (p < .10); classroom-only phase +0.010 (ns) in the matched sample, but +0.033 (SE 0.016, p < .05) in the full sample (196,757 pupils, 325 schools; Table D11, where the school-wide estimate is +0.044, SE 0.020); with standard errors clustered at the school level instead of school × grade, only the first period after the school-wide ban stays significant, which the authors call "an important caveat" (corrected 2026-10-28); gains concentrated among low prior achievers and grades 7–8.

    Added with attack #4 (survived; it did not narrow the claim) · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · 11 October 2026

    Wording changed later: Added with attack #7 (corrected; it did not narrow the claim) · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · 28 October 2026.

  14. Kill fails (scores rose).

    Forced by attack #2 · Shi & Villarroel 2026 (preprint) · 9 October 2026

  15. Contrast is exposure intensity under one ban, not ban vs no ban.

    Added with attack #4 (survived; it did not narrow the claim) · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · 11 October 2026

  16. Kill-test survived (added 2026-10-14): Sungu, Choudhury & Bjerre-Nielsen 2026 (Science 394(6820), 178–181, DOI 10.1126/science.aef7249; peer reviewed; full Science page read; ATTN-012): preregistered RCT, 10 HEIs in Odisha, India, Spring 2024; department–grade cohorts randomised to mandatory in-class phone collection vs free access; N = 16,683 students; end-of-semester GPA +0.073 SD [95% CI 0.003, 0.144], one-sided p = 0.021; larger for lower prior performers and first-years; lecture-only ban.

    Added with attack #5 (survived; it did not narrow the claim) · Sungu, Choudhury & Bjerre-Nielsen 2026 · 14 October 2026

  17. Kill fails (grades rose).

    Forced by attack #2 · Shi & Villarroel 2026 (preprint) · 9 October 2026

  18. HEI population, not K–12.

    Added with attack #5 (survived; it did not narrow the claim) · Sungu, Choudhury & Bjerre-Nielsen 2026 · 14 October 2026

  19. Beneito & Vicente-Chirivella 2022 (Spain) remains cited as supporting school-level gains but is not yet a separate source in the project.

    Added with attack #4 (survived; it did not narrow the claim) · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · 11 October 2026

  20. Does not transfer to: School-provided one-device-per-pupil programmes (C9).

    Written when the claim was created (6 October 2026); not forced by an attack

5 of 20 bounds and carve-outs were forced by a specific attack. 3 attacks hit the boundary and did not move it: #3, #4, #5.

How it changed

The ledger records 5 attacks (and 2 corrections to our notes), but no earlier wording of C6 is on record, so the text cannot be replayed step by step. Only the current wording is shown.

When pupils' own phones and other personal devices are freely available during lessons, pupils learn less in some settings than when the school bans or restricts them (for example by collecting phones), measured on learning outcomes such as test results and grades, but an average effect of restricting them is not established. Gains after bans have been found in some settings and groups (England, driven by the lowest-achieving pupils; girls in Norway; maths in US high schools), while a Swedish study found no improvement, a large preregistered US study of schools that locked pupils' phones away in pouches for the school day found average test-score effects close to zero, ruling out gains larger than about 0.007 standard deviations, with small losses in middle schools (Allcott et al. 2026, a working paper not yet peer reviewed), and classroom-level teacher restrictions in Chile left standardised test scores unchanged (ruling out gains of about 0.03–0.06 standard deviations), with only a modest drop in recreational phone use among eighth graders and a small drop in how capable pupils felt (Shi & Villarroel 2026, a working paper not yet peer reviewed).

What would change this

What would kill it: A field randomised trial or difference-in-differences study in which free access to phones or personal devices during lessons does not lower learning outcomes for the pupil (or for neighbouring pupils) compared with a ban or restriction such as collecting phones. Bank wording (Swedish, verbatim): “Fält-RCT/DiD där fri telefon-/laptopaccess under lektion inte sänker lärande för eleven (och grannar) relativt förbud/låda.”

Attack record

5 attacks: 3 survived, 2 narrowed. Counts of attacks, not a score.

Full attack list (5)
  1. #1 narrowed 7 October 2026 · Allcott, Baron, Dee, Duckworth, Gentzkow & Jacob 2026 (preprint) · target: kill-condition

    When US middle and high schools moved from mostly no-show or no phone rules to locking pupils' phones in pouches for the whole school day, in-class phone use fell sharply but average standardised test scores did not rise (pooled effect −0.006 school-level SD, ruling out gains above about 0.007 student-level SD), so C6's unconditioned claim that pupils learn less with free access than under a restriction fails on average and its kill-condition is met for this large sample.

    Strongest reading and verdict reasoning

    Steelmans to: C6's kill-condition is a difference-in-differences study in which free access to phones during lessons does not lower learning outcomes compared with a ban or restriction; this preregistered staggered DiD (1,778 adopters vs 42,919 never-adopters, Callaway–Sant'Anna with covariates, parallel pre-trends, robust to refined control groups excluding schools with strict policies or statewide bell-to-bell bans) finds a precisely estimated null on test scores, and together with the Swedish null (Kessel et al. 2020) leaves the average effect unsupported.

    Why: Nightly-attacks 2026-10-07 Europe/Stockholm. Full author PDF read (not stored). Contrast: 62 % of adopters (teacher survey) previously had a no-show rule and 23 % none; teacher-reported share of pupils using phones in class for personal reasons fell 61 % → 13 %; GPS phone activity fell ~0.18 log points. Table 3: pooled combined ATT −0.006 (SE 0.010), maths −0.002, ELA −0.006 (≈ −0.003 student-level SD); high schools combined +0.026 (SE 0.017), maths +0.047 (SE 0.018, p < .05; ≈ 0.024 student-level SD); middle schools combined −0.025 (SE 0.012, p < .05), maths −0.026 (p < .05). Kill withheld: (1) working paper, not yet peer reviewed; (2) high-school maths rose in the same study, and gains after bans are reported elsewhere (Beland & Murphy 2016 in England, driven by low achievers; Abrahamsson for Norwegian girls; Figlio & Özek 2025 Florida year 2, Lichand et al. 2026 Rio, Beneito & Vicente-Chirivella 2022 Spain, as reported by Allcott et al.); (3) school-level outcomes, at most three years after adoption, pouches imperfectly enforced, comparison schools not phone-free. Not a restatement: Kessel et al. 2020 was only an open challenge in Bounds and the claim text was unconditioned; this is the first ledger entry on C6. Claim and Bounds rewritten same turn; brief and the practical rule rewritten. Preprint flagged.

  2. #2 narrowed 9 October 2026 · Shi & Villarroel 2026 (preprint) · target: kill-condition

    In Chilean classrooms where teachers set their own phone rules, restricting phones (never allow, or allow only a few times) left standardised math and reading scores unchanged relative to freer classroom policies (estimates near zero; gains of about 0.03–0.06 SD ruled out), despite a modest drop in eighth graders' recreational in-class phone use, so C6's kill-condition is met for classroom-level restrictions and the residual "some settings" picture needs a classroom null.

    Strongest reading and verdict reasoning

    Steelmans to: C6's kill-condition is a field DiD/RCT in which free access to phones during lessons does not lower learning outcomes compared with a ban or restriction; this within-teacher and within-student design finds precisely that for classroom-level teacher restrictions in Chile (null on scores; only modest behavioural change in grade 8), so the claim must record that classroom-level restrictions are another setting where an average learning gain is not established.

    Why: Nightly-attacks 2026-10-09 Europe/Stockholm. Full EdWorkingPaper PDF read (not stored). Table 3: Never Allow or Allow a Few Times vs often/always — grade 8 teacher-FE 0.007 (SE 0.026), grade 10 −0.003 (0.027); grade 8 student-FE −0.012 (0.018), grade 10 0.005 (0.016); authors rule out gains of about 0.03–0.06σ. Phone use −3 pp (~4% of mean) in grade 8 only. Capability −0.023/−0.022 (~2+ pp, ~3%) in grade 8. Kill withheld: (1) working paper; (2) classroom-level teacher discretion with uneven compliance, not a school-day collection ban; (3) school-level gains remain (Beland & Murphy 2016; Abrahamsson; Figlio & Özek 2025; Lichand et al. 2026 as reported); (4) many Chilean teachers treat phones as pedagogical tools. Not a restatement of Allcott/Kessel: different country, identification (within-teacher / within-student), and level (classroom vs school-day pouch/ban). Claim and Bounds rewritten same turn; brief and the practical rule Limits rewritten. Preprint flagged.

  3. #3 survived 9 October 2026 · Figlio & Özek 2025 (preprint) · target: kill-condition

    In a large Florida school district that banned phones for the whole school day, comparing schools with high versus low pre-ban student smartphone activity, free-er access did not lower learning outcomes relative to the stricter restriction (test scores did not rise after the ban), so C6's kill-condition is met for this district-level ban.

    Strongest reading and verdict reasoning

    Steelmans to: C6 dies on a field DiD in which free access does not lower learning outcomes vs a ban/restriction; if Figlio & Özek's high-vs-low activity contrast showed a null or negative effect of the ban on scores, the kill-condition would be met for this US district policy.

    Why: Nightly-attacks 2026-10-09 Europe/Stockholm. Full EdWorkingPaper PDF read (not stored). Genuine kill-condition test: DiD of a binding all-day district ban (backpacks/purses all day under Florida's instructional-time law), high vs low pre-ban Advan smartphone activity. Kill fails: year-2 average scores +0.622 percentiles (p < .05); spring-only +1.083; middle/high year 2 +0.905 / spring +1.333; males spring +1.421. First-year discipline surge then fade; unexcused absences down, explaining ~half of middle/high gains (exploratory). Design understates effects (both groups treated). Distinct from Allcott (pouches, average null), Shi (Chile classroom null), Beland & Murphy, Abrahamsson. Claim field unchanged; Bounds note the survive and the Florida gain. Status remains weakened.

  4. #4 survived 11 October 2026 · Lichand, Moreno-Louzada, da Costa & Gentzkow 2026 (preprint) · target: kill-condition

    In Rio de Janeiro's municipal middle schools, where a 2023–24 city-wide ban on non-pedagogical phone use hit hardest in schools that had no strict phone rules before, freer prior access did not lower learning relative to the stricter restriction (test scores did not rise after the ban in those schools relative to schools already strict), so C6's kill-condition is met for this middle-income, city-wide ban.

    Strongest reading and verdict reasoning

    Steelmans to: C6 dies on a field DiD in which free access to phones during lessons does not lower learning outcomes compared with a ban or restriction; Rio's ban applied to all 1,000+ municipal schools at once (not chosen by each school), quarterly student-level test scores give two years of pre-trends, and if schools moving from partial or no rules to the ban had not gained relative to schools that were already strict, the kill-condition would be met in a large middle-income system.

    Why: Nightly-attacks 2026-10-11 Europe/Stockholm. Full author PDF read (27 April 2026 version; not stored). Genuine kill-condition test: DiD of treatment schools (partial or no pre-ban phone rules) against control schools (already strict), grades 6–9; full sample 196,757 students in 325 schools; matched sample 97,380 students in 154 schools, 549,969 student-quarter observations. Principal survey: share of schools where most or all pupils used phones in class fell from 52 % to 19 % (treatment) and from 40 % to 15 % (control). Kill fails: Table D2 (matched sample), school-wide ban × treated on the maths+Portuguese z-score index +0.061 (SE 0.028, p < .05), stable across specifications (0.073 with student fixed effects; 0.084 with CRE × post); maths +0.077 (SE 0.037, p < .05), Portuguese +0.045 (SE 0.024, p < .10); event-study pre-trends flat; gains concentrated among low prior achievers and in grades 7–8, and in schools whose principals reported phone use fell. The earlier classroom-only phase (Q3–Q4 2023) showed no significant effect (+0.010, SE 0.021). The authors' extrapolation to about 0.2 SD against no ban is a calibration from coarse principal reports and is not used here. Limits: working paper; compares exposure intensity under one ban, not ban vs no ban; treatment and control schools differ in baseline levels (treatment schools poorer, about 0.1 SD lower scores); a harder 2024 test applied to all schools; phone use measured by principals' retrospective reports. Not a duplicate: first ledger entry from this study; distinct country, system and identification from Figlio & Özek 2025 (Florida, smartphone-activity terciles), Allcott et al. 2026 (US pouches), Shi & Villarroel 2026 (Chile classroom rules), Kessel et al. 2020 (Sweden). Previously named in Bounds only as reported second-hand by Allcott et al.; now read and a separate source (ATTN-011). Claim field unchanged; Bounds note the survive and the Rio gain. Status unchanged (weakened from earlier narrowings).

  5. #5 survived 14 October 2026 · Sungu, Choudhury & Bjerre-Nielsen 2026 · target: kill-condition

    In a preregistered randomised controlled trial of about 17,000 higher-education students in India, mandatory in-class phone collection did not raise end-of-semester grades relative to free phone access during lectures, so freer access did not lower learning and C6's kill-condition is met for this large field experiment.

    Strongest reading and verdict reasoning

    Steelmans to: C6 dies on a field RCT/DiD in which free access to phones during lessons does not lower learning outcomes compared with a ban or restriction; this preregistered cohort-randomised RCT (16,683 students, 10 HEIs, lecture-only phone boxes vs business-as-usual) is exactly that design, and if GPA had not risen under the ban the kill-condition would be met in a large middle-income system with peer-reviewed evidence.

    Why: Nightly-attacks 2026-10-14 Europe/Stockholm. Science article page read (Vol. 394, Issue 6820, pp. 178–181, published 8 October 2026); Crossref DOI checked; design detail confirmed against the author PDF of the earlier working-paper version (not stored). Genuine kill-condition test: cohort-level randomisation, mandatory phone deposit at lecture start vs free access, end-of-semester GPA with mostly external blind grading. Kill fails: +0.073 SD [95% CI 0.003, 0.144], one-sided p = 0.021; larger for lower prior performers and first-years. Limits: higher education (mean age 19.4), not K–12 pupils; lecture-only ban, not all-day; India HEIs. Not a duplicate: first ledger entry from this study; distinct design (true RCT), country, level (HEI), and peer-reviewed status from Figlio & Özek 2025, Lichand et al. 2026, Allcott et al. 2026, Shi & Villarroel 2026, Kessel et al. 2020. Claim field unchanged; Bounds and Ages note the survive and the India HEI gain. Status unchanged (weakened from earlier narrowings). With this survival C6 reaches the floor of 3 survivals.

Corrections to our notes

These fix a number or a fact in our notes. They are not attacks and do not count toward the floor of 3 survivals.

  • — The Florida study logged as C6's first kill-test survival does not compare a ban with free access: every school in the district was under the same all-day backpack rule, and the estimate compares schools with high and low phone activity before the ban, which the authors call a lower bound; year one showed no significant gain, and the year-two gain was not significant for elementary schools, girls or Black students.
    Details

    What was checked: fact behind the Bounds entry for Figlio & Özek 2025 (design of the comparison and subgroup results); the 2026-10-09 survival entry stays as written and is not reclassified.

    Why: Nightly-attacks 2026-10-26 Europe/Stockholm, from a closer reading of the study (the run notes), re-checked tonight in the stored working paper: phones stored "in students' backpacks or purse during the entire school day while on campus, including lunchtime"; high- versus low-activity schools are the top and bottom terciles of pre-ban smartphone activity; the difference-in-differences "could be considered as a lower bound for the causal effects of the policy" (p. 12); Table 3: first year of ban 0.283 (0.257), second year 0.622 overall, elementary 0.509 (0.349), female 0.455 (0.299), Black 0.657 (0.403), middle and high 0.905 (0.391). Not a weaken: C6 already says an average gain is not established; scope, direction and kill-condition unchanged. Preprint: NBER Working Paper, not peer reviewed (already on the preprint recheck list from 2026-10-09). Bounds and the practical rule limits updated; claim sentence, Status and headline unchanged.

  • — The Rio entry in C6's limits reads the classroom-only phase as null (+0.010, ns), but that holds only in the matched sample; in the authors' full sample the classroom-only phase is +0.033 (SE 0.016, p < .05), and with school-level clustering the later post-ban estimates lose significance.
    Details

    What was checked: fact behind the Bounds entry for Lichand et al. 2026 (classroom-only phase estimate and clustering caveat); the 2026-10-11 survival entry stays as written and is not reclassified.

    Why: Nightly-attacks 2026-10-28 Europe/Stockholm, from a closer reading of the study (the run notes), re-checked tonight in the stored working paper: Table D11 (full sample, 196,757 students, 325 schools, 1,277 clusters): school-wide ban × treated 0.044 (0.020); classroom ban × treated 0.033 (0.016), maths 0.035 (0.023), Portuguese 0.030** (0.013); p. 18: "alternative specifications yield statistically significant effects also for the classroom ban (Figure D2 and Table D11)"; with school clustering "the event-study coefficient for the first period after the school-wide ban remains statistically significant, but the coefficients in other periods are no longer significant... We view this as an important caveat to our results". Not a weaken: scope, direction and kill-condition unchanged; the survival rests on the school-wide estimate, which stays significant in both samples. Preprint: NBER Working Paper, not peer reviewed (already on the preprint recheck list from 2026-10-11).

Evidence

16 linked sources: 6 supports, 9 limits, 1 challenges (first-pass draft, pending human review). supports: Beland & Murphy 2016, Sana et al. 2013, Figlio & Özek 2025, Lichand et al. 2026, Sungu et al. 2026, Beneito & Vicente-Chirivella 2022 · limits: Abrahamsson 2024, Campbell et al. 2024, Ward et al. 2017, OECD 2024, Allcott et al. 2026, Shi & Villarroel 2026, Al-Jbouri et al. 2026, Goodyear et al. 2025, Ruiz Pardo & Minda 2022 · challenges: Kessel et al. 2019

Full claim record in the evidence library →