Film Students Losing Ability to Watch Full Movies

Recently, The Atlantic featured a concerning article titled "The Film Students Who Can No Longer Sit Through Films." The writer, Rose Horowitch, consulted with educators across the United States who are increasingly vocal about an unsettling pattern emerging in their classrooms. What she uncovered

Recently, The Atlantic featured a concerning article titled "The Film Students Who Can No Longer Sit Through Films." The writer, Rose Horowitch, consulted with educators across the United States who are increasingly vocal about an unsettling pattern emerging in their classrooms.

What she uncovered was profoundly discouraging. "I once believed that assigning a movie as homework was the ultimate task," shared Craig Erpelding, a film instructor at the University of Wisconsin-Madison. "Yet, nowadays, students simply refuse to complete it."

Horowitch gathered comparable accounts from approximately 20 film studies instructors nationwide. They explained that during the last ten years—and especially following the COVID-19 pandemic—their students have faced significant difficulties in maintaining focus throughout full-length movies.

So, what is fueling this widespread decline in attention spans? The academics featured in the article identify a primary offender: smartphones.

For instance, the inaugural director of Film and Media Studies at Tufts University attempted to prohibit electronic devices during film viewings, only to discover that the policy was unenforceable. "Roughly half the students end up sneaking glances at their phones," she noted. Similarly, a professor in Cinema and Media Studies at USC described his pupils as resembling "nicotine addicts in withdrawal—the extended time without phone access leads to noticeable restlessness and fidgeting."

At the core of this issue lies a skill termed cognitive patience by reading expert Maryanne Wolf. This refers to the capacity to sustain concentrated attention over time, postpone immediate rewards, and resist the urge to multitask simultaneously.

Smartphones undermine cognitive patience by stimulating specific neural pathways in the brain's immediate reward circuitry. These pathways anticipate substantial gratification from interacting with the device, essentially casting a "vote" for distraction. This triggers a surge of neurochemicals that manifest as an irresistible urge to reach for the phone. Over time, with diminished opportunities to practice prolonged focus, individuals grow increasingly uneasy with extended attention demands.

It's hardly surprising, then, that so many people now struggle to endure a two-hour film without interruption!

Yet, as explored further in a recent podcast episode, this particular challenge with cinematic endurance offers a pathway to addressing the broader problem of eroding attention spans. Consider transforming the feat of viewing a complete feature film into a deliberate training objective as part of reclaiming mental autonomy. Much like a novice runner progressively building stamina for their inaugural 5K race, mastering a full movie represents an attainable yet demanding benchmark—perfect for launching a journey toward restored attentional control.

If you decide to pursue this objective, how can you most effectively cultivate your cinematic cognitive patience? I recommend the following three strategies:

Practical Steps to Build Movie-Watching Stamina

• Store your phone in another room entirely. This approach stops your brain's short-term reward mechanisms from overwhelming you with disruptive cravings.
• Select higher-quality films. Engaging with content that delivers profound satisfaction activates your long-term reward pathways, forging stronger mental links between movies and enduring value. This, in turn, simplifies resisting temptations during future viewings.
• Implement the thirty-minute rule to ease initial sessions. Prior to beginning, peruse a review or critique that illuminates the film's merits. Then, every half hour or so, hit pause to consult an additional analysis or commentary. This technique recalibrates your mindset toward thoughtful evaluation, helping you uncover ongoing significance and sidestep the drudgery of aimless progression.

There's a certain irony in advising the use of one screen to counteract the pull of another. Nevertheless, it's evident that while countless individuals are exasperated by the neurological toll of digital gadgets, they often lack concrete methods for resistance. Perhaps rekindling the serene pleasures of immersive filmmaking could play a pivotal role in this reclamation process.

Technology and Distraction Updates: Examining AI Narratives

As an ongoing experiment, I'm incorporating more frequent segments like this one, where I succinctly address current developments at the intersection of technology, attentional interference, and the pursuit of deeper focus.

Based on the growing influx of anxious communications from acquaintances, the prevalence of AI vibe reporting appears to be surging. My aim is to equip you with tools to traverse this informational terrain without succumbing to undue alarm. To illustrate, let's dissect a recent example. Just last week, The Atlantic ran a piece brimming with atmospheric speculation, titled "The Worst-Case Future for White-Collar Workers." A closer, more analytical examination of key excerpts from this article reveals some telling patterns:

• "The labor market for office workers is beginning to shift. Americans with a bachelor’s degree account for a quarter of the unemployed, a record." The subtext here strongly suggests that AI-driven job losses in knowledge work are to blame. However, no concrete data substantiates this connection. In reality, as various analyses highlight, the downturn in employment opportunities for recent graduates predates the advent of generative AI by a considerable margin.
• "Occupations susceptible to AI automation have seen sharp spikes in joblessness." This exemplifies quintessential vibe reporting: the phrasing stops short of an explicit causal claim, yet unmistakably nudges readers toward that conclusion. Regrettably, empirical support for this notion remains absent. Layoffs in technology firms, for one, align more closely with post-pandemic adjustments to excessive hiring. Comparable dynamics are unfolding in sectors like advertising. A Friday piece in The New York Times by Cade Metz echoed this perspective.
• "Businesses really are shrinking payroll and cutting costs as they deploy AI." Once more, this construction insinuates that AI implementation directly prompts workforce reductions. In truth, these phenomena frequently coincide without causation. Numerous organizations are piloting AI tools for staff use, and many are concurrently trimming headcounts—particularly those grappling with pandemic-era overstaffing. Conflating correlation with causation represents a textbook post hoc ergo propter hoc error.
• "In recent weeks, Baker McKenzie, a white-shoe law firm, axed 700 employees, Salesforce sacked hundreds of workers, and the auditing firm KPMG negotiated lower fees with its own auditor." Positioning these concrete instances of staff cuts right after AI discussions masterfully implies linkage without overt assertion. A deeper dive tells a different story. Take Salesforce: Their recent elimination of about 1,000 positions stemmed not from AI automation but from internal reorganization to unify Agentforce and Slack under unified leadership. Industry watchers characterized it as routine: "Cross-team layoffs like these are not unusual for a company of Salesforce’s size, especially at this time of year, before announcing end-of-fiscal-year earnings."

What, then, is the true interplay between AI and employment landscapes? Generative AI holds potential for substantial market upheavals down the line. We're not witnessing that scale presently. The inaugural transformations may emerge in software engineering, though their scope is still indeterminate. (Expect deeper insights shortly: I'm currently immersed in an investigative effort, having consulted over 300 software developers on their AI integration experiences; the overarching takeaway? It's profoundly nuanced!)

For now, the genuine AI-related developments merit attention on their own merits. There's no need for journalists to retrofit narratives onto preconceived trends. (Note: The article's latter portions offer valuable, speculative exploration of governmental responses to potential disruptions, penned by a respected expert in the field. It's recommended reading, provided you approach the introductory vibe elements with skepticism.)