Gothamist77%

Washington Heights students try digital detox with schools' 'Screen Break' 25%

By Jessica Gould0%

5/28/2026, 10:31:02 AM

BS Summary: This article contains 24 faulty reasoning types, including Appeal to Authority, Availability Heuristic, and Unattributed Quote, with Anecdotal as the most egregious example at 20.1% saturation with 152 hits. Analysis detected 995 faulty-reasoning hits from 756 analyzed words, generating a BS Score of 37.3% and a BS Rank of 25% (16,489 of 21,886 articles). This article is better (less manipulative) than 75.30% of the article peer group.

Thousands of students and educators in Upper Manhattan are in the midst of a digital detox this week as part of a collective effort to reduce the reliance on screens. 
“We all have seen it, the omnipresence of devices and screens in everybody's life,” said P.S. 187 parent Olympia Kazi. 
“And we can totally change it.” 
Kazi came up with the idea for the weeklong effort, dubbed “Screen Break,” which was embraced by the superintendent of Manhattan’s School District 6 in Washington Heights and Inwood. 
Together, they encouraged the district’s 38 elementary and middle schools to avoid computers in the classroom as much as possible, and expand recess when they can. 
Supporters also organized a series of screen-free after-school events, including a book fest, an artsy “sketch out” and a community-wide playdate. 
Gothamist spoke with kids and teachers about the first day of the screen break, and reviews were generally positive. 
Nestor Ireland, 8, a third grader at PS 187, said he was enjoying more screen-free activities. 
Usually, there is “a lot a lot a lot” of screentime in schools, he said. 
He said technology is sometimes useful. 
“The other day, the computer gave us information on something we were researching, and it really helped us,” he said. 
But it can get out of control, he added. 
He said his class recently had a substitute teacher with a laissez-faire approach to screens, and a classmate started playing the video game "Fortnite." 
“So that was really bad,” he said. 
Liam Yamana, 7, who attends P.S. 178, said he was also enjoying the break. 
“One of the days we're going to play board games and have snacks outside, and I'm excited for that,” he said. 
His twin sister Juniper, however, was less enthusiastic. 
“I like screens,” she said. 
The district-wide screen break is the latest example of pushback to technology in schools. 
Gov. 
Kathy Hochul’s ban on smartphones in schools has received widespread praise, giving the movement added momentum. 
In New York City, thousands of parents have called for a moratorium on artificial intelligence in schools, and the city recently pulled plans for an AI-focused high school. 
The Community Education Council in Manhattan’s District 4, which is an elected parent group, has called on officials to place strict limits on how much time kids can spend on screens in schools. 
Iowa recently passed 60-minute daily screen limits for schools, and Los Angeles is also considering restrictions. 
But reducing reliance on tech in classrooms is not an easy task. 
Tech is deeply embedded in schools now, where most students are assigned laptops or devices and kids are required to take tests on computers. 
Kazi said much of her kids’ English, math and science classwork takes place via computer, and all of their homework is through Google Classroom  often with several YouTube links as supplements. 
In keeping with the revolutionary spirit of the effort, an after-school “book fest” was held on Tuesday at the Morris-Jumel Mansion, George Washington's former headquarters. 
Kids spread across the garden of Manhattan’s oldest residence, reading under trees, coloring, painting, and playing improv games like “Zip Zap Zop.” 
Kyle DeAngelis, a third-grade teacher at P.S. 
/M.S. 368, said the screen break gave him “an opportunity to reflect” on the role of technology in the classroom. 
So far, he said, the experiment has gone well. 
He said he still had to do the required testing via computer, but after that, he took time to explain the screen break to students. 
He had the class read articles about screens’ negative effects on cognition, physical health, and mental health, and invited children to share their views. 
DeAngelis said he was able to offer kids some extra play time since they had less computer work. 
“I think this could be a really powerful annual tradition,” he said. 
“This screen break is just another front in the fight against ed tech’s encroachment in schools.” 
City education officials endorsed the effort in District 6, while declining to say whether it would be expanded elsewhere. 
“We appreciate the collaboration taking place in District 6, where families, educators, and community leaders are working together to thoughtfully explore innovative ways to support student well-being and engagement,” said education department spokesperson Chyann Tull. 
Kazi said she knows parents and educators are trying to do the best they can when it comes to managing technology’s benefits and drawbacks. 
“There may be disagreements on the right balance,” she said. 
“But this is a conversation that is overdue.” 
Article reasoning-pattern comparisonThis article: 4.2%Jessica Gould: 3.8%Gothamist: 2.7%Confirmation Bias4.2%This article: 0.0%Jessica Gould: 1.1%Gothamist: 1.5%Anchoring Bias0.0%This article: 12.6%Jessica Gould: 5.0%Gothamist: 3.6%Availability Heuristic12.6%This article: 0.0%Jessica Gould: 0.9%Gothamist: 1.1%Representativeness Heuristic0.0%This article: 0.0%Jessica Gould: 0.3%Gothamist: 0.7%Hindsight Bias0.0%This article: 0.0%Jessica Gould: 1.4%Gothamist: 1.2%Overconfidence Bias0.0%This article: 7.3%Jessica Gould: 7.9%Gothamist: 8.4%Framing Effect7.3%This article: 0.0%Jessica Gould: 2.2%Gothamist: 1.2%Loss Aversion0.0%This article: 5.0%Jessica Gould: 3.4%Gothamist: 1.1%Status Quo Bias5.0%This article: 0.0%Jessica Gould: 0.2%Gothamist: 0.2%Sunk Cost Effect0.0%This article: 6.3%Jessica Gould: 4.3%Gothamist: 3.6%Optimism Bias6.3%This article: 1.2%Jessica Gould: 1.9%Gothamist: 1.7%Pessimism Bias1.2%This article: 4.5%Jessica Gould: 7.9%Gothamist: 8.5%Negativity Bias4.5%This article: 3.2%Jessica Gould: 3.6%Gothamist: 2.6%Self-Serving Bias3.2%This article: 0.0%Jessica Gould: 1.5%Gothamist: 1.0%Fundamental Attribution Error0.0%This article: 0.0%Jessica Gould: 0.5%Gothamist: 0.3%Actor-Observer Bias0.0%This article: 0.0%Jessica Gould: 1.8%Gothamist: 2.1%In-Group Bias0.0%This article: 0.0%Jessica Gould: 0.7%Gothamist: 0.6%Out-Group Homogeneity Bias0.0%This article: 4.6%Jessica Gould: 1.9%Gothamist: 2.1%Halo Effect4.6%This article: 0.0%Jessica Gould: 0.1%Gothamist: 0.2%Horn Effect0.0%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.0%Dunning-Kruger Effect0.0%This article: 5.4%Jessica Gould: 2.2%Gothamist: 1.3%Recency Bias5.4%This article: 1.3%Jessica Gould: 0.4%Gothamist: 0.4%Primacy Effect1.3%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jessica Gould: 0.6%Gothamist: 1.0%Ad Hominem0.0%This article: 0.0%Jessica Gould: 0.5%Gothamist: 0.2%Straw Man0.0%This article: 12.8%Jessica Gould: 4.8%Gothamist: 4.4%Appeal to Authority12.8%This article: 0.0%Jessica Gould: 1.5%Gothamist: 1.2%False Dilemma0.0%This article: 1.2%Jessica Gould: 1.7%Gothamist: 0.8%Slippery Slope1.2%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.1%Circular Reasoning0.0%This article: 2.0%Jessica Gould: 6.4%Gothamist: 3.8%Hasty Generalization2.0%This article: 0.0%Jessica Gould: 1.2%Gothamist: 0.3%Red Herring0.0%This article: 4.2%Jessica Gould: 2.3%Gothamist: 0.8%Bandwagon4.2%This article: 3.3%Jessica Gould: 8.5%Gothamist: 6.4%Appeal to Emotion3.3%This article: 1.1%Jessica Gould: 0.9%Gothamist: 0.7%Begging the Question1.1%This article: 9.3%Jessica Gould: 3.3%Gothamist: 2.4%Post Hoc (False Cause)9.3%This article: 0.0%Jessica Gould: 0.1%Gothamist: 0.1%Tu Quoque0.0%This article: 0.0%Jessica Gould: 0.4%Gothamist: 0.4%Burden of Proof0.0%This article: 0.0%Jessica Gould: 1.2%Gothamist: 0.1%Appeal to Nature0.0%This article: 3.2%Jessica Gould: 0.5%Gothamist: 0.2%Composition/Division3.2%This article: 20.1%Jessica Gould: 7.8%Gothamist: 2.8%Anecdotal20.1%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.1%No True Scotsman0.0%This article: 0.0%Jessica Gould: 1.3%Gothamist: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.0%Gambler’s Fallacy0.0%This article: 1.3%Jessica Gould: 0.2%Gothamist: 0.1%Middle Ground1.3%This article: 0.0%Jessica Gould: 0.2%Gothamist: 0.1%Personal Incredulity0.0%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.2%Special Pleading0.0%This article: 0.0%Jessica Gould: 0.1%Gothamist: 0.2%Genetic Fallacy0.0%This article: 11.4%Jessica Gould: 0.4%Gothamist: 1.2%Unattributed Quote11.4%This article: 0.0%Jessica Gould: 0.5%Gothamist: 1.0%Quote-first Misdirection0.0%This article: 0.8%Jessica Gould: 2.3%Gothamist: 3.2%Biased Writer Voice0.8%This article: 5.3%Jessica Gould: 0.8%Gothamist: 1.5%Indoctrination5.3%This article: 0.0%Jessica Gould: 0.7%Gothamist: 1.0%Politically Left Leaning Bias0.0%This article: 0.0%Jessica Gould: 0.0%Gothamist: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Jessica Gould: 1.2%Gothamist: 1.0%Attempt to Sell a Product or S…0.0%

756 words analyzed.

Speakers

6speakers53%attributed speech353writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageOlympia Kazi • 20 words • 100.0% coverageOlympia Kazi • 6 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageNestor Ireland • 16 words • 0.0% coverageNestor Ireland • 15 words • 0.0% coverageNestor Ireland • 6 words • 0.0% coverageNestor Ireland • 20 words • 0.0% coverageNestor Ireland • 9 words • 0.0% coverageNestor Ireland • 24 words • 100.0% coverageNestor Ireland • 7 words • 0.0% coverageLiam Yamana • 14 words • 0.0% coverageLiam Yamana • 21 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJuniper Yamana • 5 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageOlympia Kazi • 32 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageKyle DeAngelis • 7 words • 0.0% coverageKyle DeAngelis • 20 words • 0.0% coverageKyle DeAngelis • 9 words • 0.0% coverageKyle DeAngelis • 25 words • 0.0% coverageKyle DeAngelis • 24 words • 100.0% coverageKyle DeAngelis • 18 words • 0.0% coverageKyle DeAngelis • 12 words • 0.0% coverageKyle DeAngelis • 16 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageChyann Tull • 35 words • 0.0% coverageOlympia Kazi • 24 words • 0.0% coverageOlympia Kazi • 10 words • 100.0% coverageOlympia Kazi • 8 words • 0.0% coverage
Selected voice

Olympia Kazi

100%flagged-word coverage
100 attributed words25% of attributed speech82% writer coverage
0%32.5%65.0%Unattributed Quote+62.0 ptsWriter: 0.0%Olympia Kazi: 62.0%62.0%Biased Writer Voice+6.0 ptsWriter: 0.0%Olympia Kazi: 6.0%6.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.