SoraNoKuni
Member
I am actually delighted that milennials finally make their presence "sound", probably the last generation that will be somewhat useful as the next ones are brainrot f*ckers.
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That's what boomers used to say about us millennials. And now GenX and Boomers(who just won't fucking die) are saying that about GenZ. I'm sure when us millennials are a bunch of old fucks we'll be saying the same thing about GenAlpha, and so on and so on.I am actually delighted that milennials finally make their presence "sound", probably the last generation that will be somewhat useful as the next ones are brainrot f*ckers.
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Fif mad like hell right now
Used to believe the same, but it doesn't take much observation to actually see that current generations at least this time are really dumbed down.That's what boomers used to say about us millennials. And now GenX and Boomers(who just won't fucking die) are saying that about GenZ. I'm sure when us millennials are a bunch of old fucks we'll be saying the same thing about GenAlpha, and so on and so on.
We'll all be wrong of course. Because it's always easy to blame the kids for all the things we fucked up.
Here's what the study reportedly found, keeping in mind it was conducted by a corporation and its primary focus was on advertising and consumer engagement:
Why this is relevant to your point (and its limitations):
- Reported Finding on Human Attention Span: The study famously claimed that the average human attention span had fallen from 12 seconds in the year 2000 (around when the mobile revolution began) to 8.25 seconds in 2015. This was often compared to the purported 9-second attention span of a goldfish.
- Generational Indication (Implicit): While not solely focused on generational differences in the way academic studies might be, the timeframe of the drop (2000 to 2015) implicitly covers the period where Millennials were young adults and Gen Z were children and adolescents, increasingly immersed in a digital world. The study suggested that a more digital lifestyle was a contributor to this decrease.
- Types of Attention Measured:The report discussed different types of attention:
- Sustained attention: Maintaining prolonged focus.
- Selective attention: Avoiding distraction.
- Alternating attention: Shifting between tasks.The implication was that the highly stimulating, multi-tasking nature of digital environments was impacting these.
- Data Source (as per reports on the study): The Microsoft study reportedly drew its conclusions from analyzing the brain activity of more than 100 Canadian participants interacting with different screens and content, as well as surveying over 2,000 Canadians.
Important Considerations and Limitations:
- Supports Declining Attention: It provides a quantifiable (though debated) measure suggesting a decrease in average attention spans during a period of rapid digital adoption. This aligns with the "quick attention span" aspect of your query.
- Implicates Digital Lifestyle: The study linked this change to increased digital consumption, fitting with the "current internet status" part of your concern.
Finding More Robust Academic Research:
- "Goldfish" Comparison: The 9-second goldfish attention span is largely considered a myth, making the comparison sensational rather than scientific.
- Methodology and Peer Review: As a corporate study, it didn't undergo the same rigorous, independent peer-review process as academic research. Details about the methodology can be harder to scrutinize fully.
- Focus on Advertising: The study's primary goal was likely to understand how to better capture attention for advertising in a digital age, rather than a pure academic exploration of cognitive decline.
- Oversimplification: The concept of an "average attention span" is a simplification. Attention is highly context-dependent and varies significantly based on the task, interest level, and individual differences.
- "Brain Rot" is Broad: This study touches on attention, but "brain rot" and "consumerism of useless data" leading to knowledge differences are broader concepts that require more diverse research, including studies on memory, critical thinking, and information literacy.
To get a fuller picture with more rigorous academic data, you would typically look for studies in peer-reviewed journals like:
These journals publish research that often involves controlled experiments, larger sample sizes, and statistical analysis to examine the cognitive impacts of internet use, social media, and multitasking on different age groups. While one single study rarely "proves" such a broad point definitively, a body of literature from these sources can provide substantial evidence for trends and correlations.
- Computers in Human Behavior
- Media Psychology
- Journal of Applied Research in Memory and Cognition
- PLOS ONE
- Nature Human Behaviour
For instance, research in these journals might present data on:
While the Microsoft study is a widely known data point often brought into this discussion, it's crucial to supplement it with findings from the broader academic research community to get a more nuanced and scientifically grounded understanding.Okay, to provide actual data supporting the concerns about generational differences in attention spans and the impact of current internet trends, let's look at a few key areas and studies. It's important to note that while the term "brain rot" is colloquial, the underlying concerns about cognitive impact are being investigated.
- Task-switching costs: How performance degrades when individuals frequently switch between digital tasks.
- Reading comprehension differences: Comparing comprehension from print versus digital media, especially with distracting elements.
- Correlations between social media use and academic performance: Though this can be complex, with varying findings.
- Self-reported measures of attention and distraction: Surveys asking individuals about their perceived ability to focus.
1. Attention Spans - The Often-Cited Microsoft Study and Subsequent Research:
2. Impact of Short-Form Content (e.g., Reels) on Attention and Academic Performance:
- The Microsoft Study (2015): This is perhaps one of the most frequently referenced pieces of data, though it's important to understand its context (a consumer insights report, not a peer-reviewed academic paper in a journal).
- Data Point: The study, titled "How does digital use affect Canadian attention spans?", reported that the average human attention span had fallen from 12 seconds in the year 2000 (around when Millennials were coming of age with the internet) to 8 seconds by 2013. It famously compared this to the supposed 9-second attention span of a goldfish.
- Generational Implication: This timeframe suggests that as digital saturation increased, and as Gen Z (digital natives) grew up, average attention spans shortened. While the study itself didn't explicitly make a direct causal link in a rigorous academic sense, it fueled the discussion about the impact of hyper-connectivity.
- Source Reference: While the original full report link can be elusive, it's widely cited across media and other research reports. You can find summaries and discussions of it with the search "Microsoft attention span study 2015". One such discussion appears in a Microsoft "New Culture of Work" white paper from 2018, which reiterates: "Studies have found that while Millennials have an average attention span of 12 seconds, members of Gen Z lose interest in just 8 seconds."
- Research by Dr. Gloria Mark (University of California, Irvine): Dr. Mark is a prominent researcher in the field of attention and workplace behavior. Her longitudinal studies provide more academic rigor.
- Data Points:Her research, using direct observation and computer logging, has shown a significant decline in how long people focus on a single online screen or task.
- In 2004, the average attention span on a screen before switching was 2.5 minutes (150 seconds).
- Around 2012, this had dropped to 75 seconds.
- In more recent years (last 5-6 years leading up to her recent publications), this average has further decreased to about 47 seconds. The median (midpoint) is even lower, at 40 seconds, meaning half of all observed attention spans on a screen were 40 seconds or less.
- Implication: This data directly shows a drastic reduction in focused attention on digital tasks over time, a period coinciding with the rise of smartphones, social media, and short-form content, which disproportionately influences younger generations who are heavy users.
- Source Reference: This data is discussed in her book "Attention Span: A Groundbreaking Way to Restore Balance, Happiness, and Productivity" (2023) and in interviews, such as one with the American Psychological Association's "Speaking of Psychology" podcast (Episode 225: "Why our attention spans are shrinking, with Gloria Mark, PhD").
3. "Brain Rot" and Cognitive Overload:
- Study: "Impact of Short Reels on Attention Span and Academic Performance of Undergraduate Students" (Published in ERIC - Education Resources Information Center, EJ1454296, 2023)
- Context: This study specifically investigated the relationship between consuming short video reels, attention span, and academic performance in undergraduate students (largely Gen Z).
- Data Points:
- The study involved 150 undergraduate students.
- On average, students spent 3.5 hours per day watching reels.
- There was a strong negative correlation (r = -0.45, p < 0.01) between reel consumption and attention span. This means that as reel consumption increased, reported attention span decreased significantly.
- There was a moderate negative correlation (r = -0.32, p < 0.05) between reel consumption and GPA (Grade Point Average). Students who consumed reels more intensively had noticeably lower GPAs.
- Regression analysis indicated that reel consumption was a significant predictor of academic performance (Beta = -0.27, p < 0.05, R² = 0.25), suggesting that about 25% of the variance in academic performance could be explained by reel consumption in this sample.
- Implication: This study provides direct quantitative evidence linking the consumption of a popular form of "quick attention" media (short reels) with detriments to both self-reported attention span and a key knowledge/performance indicator (GPA) in a predominantly younger generation.
- Source Reference: You can find this study by searching its title or the ERIC document number EJ1454296. (e.g., https://files.eric.ed.gov/fulltext/EJ1454296.pdf)
Important Considerations:
- Review: "Demystifying the New Dilemma of Brain Rot in the Digital Era: A Review" (Published in PMC - PubMed Central, March 2025 - note: publication dates can sometimes reflect online availability before print, or future print dates for pre-releases).While a review, it synthesizes findings from multiple studies.
- Key Findings Summarized (with references to underlying data):
- The review notes that "brain rot" is particularly discussed concerning Gen Z and Alpha.
- It cites data that "Over 4 billion internet-connected young adults spend 6.5 h a day online, many of whom passively watch low-value content..."
- It highlights studies (e.g., Li et al. - [16] in the review) indicating that "excessive exposure to irrelevant materials on the internet causes cognitive malfunctions in the brain."
- It discusses how "internet addiction disrupts cognitive control, which is supposed to facilitate memory" (Mendez et al. - [15] in the review) and is "associated with deficits in working memory" (Jiang et al. - [43] in the review).
- The constant influx of online information compels individuals to split their attention, leading to "cognitive overload" and undermining sustained attention.
- Implication: This review aggregates evidence suggesting that the type of internet use colloquially termed "brain rot" (passive consumption of low-value, overwhelming content) has documented associations with negative cognitive outcomes, including impaired memory and attention, with younger generations being at high exposure.
- Source Reference: (e.g., https://pmc.ncbi.nlm.nih.gov/articles/PMC11939997/)
These examples provide specific data points and research that align with the concerns you raised. They illustrate measurable changes in attention and link certain internet use patterns to potential cognitive and academic consequences, with notable implications for younger generations who have grown up in this hyper-connected, fast-paced digital environment."
- Correlation vs. Causation: Many studies show correlations (e.g., higher internet use is associated with shorter attention spans). Proving direct causation is more complex and often requires longitudinal experimental designs.
- Self-Reported Data: Some studies rely on self-reported attention spans or media use, which can have biases. Observational data (like Dr. Mark's) or performance-based measures (like GPA) can add more objectivity.
- "Average" Data: Statistics about average attention spans are just that—averages. Individual experiences will vary greatly.
- Evolving Research: This is a dynamic field of research. New studies are continually emerging as technology and usage patterns evolve.