Vsauce
Past generations look older both because improved healthcare and lifestyle habits genuinely slowed biological aging rates and because modern viewers associate bygone youth fashions with the elderly cohorts who continued wearing them.
AI-assisted summary of Did People Used To Look Older? — original source. Check the original for full context.
Source published:
Key ideas
- Past generations truly aged faster biologically: biomarker research from Yale and USC reveals that between the 1990s and 2000s, systemic improvements shifted biological age so that age 60 today functions like 56, 40 like 37.5, and 20 like 19. (1:44)
- Much of 'retrospective aging' is a fashion illusion; digital edits updating the hairstyles and clothing of historical figures like George Wendt or the Golden Girls instantly lower their perceived ages by decades. (4:10)
- The face-name matching effect demonstrates that cultural stereotypes and expectations subtly shape our physical appearance over time, functioning as a reverse Dorian Gray effect where names influence adult facial presentation. (13:07)
- The 20th-century 'black-and-white dream epidemic' reveals how external media reshapes cognitive recall: monochrome dreams surged alongside black-and-white film and TV, despite pre-1900 thinkers consistently reporting dreams in color. (18:47)
Detailed notes
## Background "Did People Used To Look Older?" was published on YouTube by Michael Stevens on his channel Vsauce on July 11, 2022. The video's show notes provide source links to historical yearbooks, scientific papers on biological aging and facial measurements, viral tweets, and an endorsement for the Curiosity Box.
## TL;DR Michael Stevens examines the phenomenon of "retrospective aging," demonstrating that while modern humans biologically age more slowly due to advancements in healthcare, nutrition, and skincare, the perception that historical figures looked older is heavily warped by fashion drift. Outfits and hairstyles chosen in youth remain linked to wearers into retirement, retroactively rebranding young historical styles as "elderly." Stevens branches into related cognitive oddities, including the face-name matching effect, where social feedback loops subtly reshape facial appearance to fit personal names. He concludes by analyzing how cultural media alters perception, showing how the rise of monochrome television triggered a 20th-century epidemic of black-and-white dreams.
## Atmosphere & style The presentation carries Vsauce's signature blend of playful curiosity, sharp editing, and existential contemplation set against Jake Chudnow's ambient, questioning score. Michael begins with engaging pop-culture memes and comedic yearbook photos before spiraling into sophisticated cognitive psychology and epistemological dilemmas. It feels like an exhilarating intellectual sleight of hand, guiding the viewer from lighthearted internet trivia into profound reflections on how society and media subtly construct internal reality.
## Bulletin - [01:44](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=104s) Past generations truly aged faster biologically: biomarker research from Yale and USC reveals that between the 1990s and 2000s, systemic improvements shifted biological age so that age 60 today functions like 56, 40 like 37.5, and 20 like 19. - [04:10](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=250s) Much of 'retrospective aging' is a fashion illusion; digital edits updating the hairstyles and clothing of historical figures like George Wendt or the Golden Girls instantly lower their perceived ages by decades. - [13:07](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=787s) The face-name matching effect demonstrates that cultural stereotypes and expectations subtly shape our physical appearance over time, functioning as a reverse Dorian Gray effect where names influence adult facial presentation. - [18:47](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1127s) The 20th-century 'black-and-white dream epidemic' reveals how external media reshapes cognitive recall: monochrome dreams surged alongside black-and-white film and TV, despite pre-1900 thinkers consistently reporting dreams in color.
## Key takeaways - [00:01](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1s) 'Retrospective aging' refers to the common impression that individuals in vintage photographs and media appeared far older at younger chronological ages than people do today. - [01:44](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=104s) Biological aging rates have genuinely decelerated over time due to enhanced nutrition, improved childhood conditions, reduced smoking, advanced healthcare, and widespread sunscreen adoption. - [01:44](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=104s) Analysis of magazine portraits since the 1930s shows facial bone proportions have stayed largely unchanged across ethnicities, with the only notable shift being a cultural preference for fuller lips. - [04:10](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=250s) Fashion drift warps generational perception: clothing styles adopted in youth are retained into old age, transforming formerly cool adolescent styles into perceptual signifiers of senior citizens. - [08:20](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=500s) The viral 1941 'Time Traveling Hipster' was simply an ordinary bridge attendee wearing unusually casual, period-accurate sports gear that happened to match early 21st-century aesthetics. - [11:28](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=688s) Human intuition reliably matches facial geometry to phonetic sounds, mirroring the Bouba/Kiki effect where spiky shapes pair with sharp names like 'Tim' and round shapes pair with 'Bob'. - [13:07](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=787s) Experiments show people correctly guess strangers' names at rates well above chance, demonstrating that adult facial features gradually harmonize with the labels society assigns them. - [13:07](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=787s) In a reverse Dorian Gray effect, societal stereotypes, expressive habits, and self-fulfilling adaptations cause our physical appearance to mold into the expectations of our names. - [17:22](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1042s) The societal threshold for when someone becomes 'old' averages 73.7 years, but this boundary expands outward as the respondent's own age and personal health increase. - [17:22](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1042s) Age satisfaction peaks at 21; younger Americans want to be older, older Americans want to be younger, and the consensus ideal age to remain forever is 36. - [18:47](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1127s) Prior to 20th-century monochrome media, historical figures universally described dreams in full color, proving black-and-white dreaming was a temporary media-induced phenomenon. - [19:58](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1198s) Dreams may be inherently indeterminate rather than explicitly chromatic, with dreamers confabulating sensory details during waking recall based on prevailing media technologies.
## Detailed walkthrough ### [00:01](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1s) The Mystery of Retrospective Aging
Michael Stevens introduces a curious paradox found in historic photography. While an eighteen-year-old Carl Sagan in his high school yearbook looks like a typical modern teenager, flipping through old yearbooks often reveals young people who appear startlingly weathered and mature. Photos of individuals in their twenties, Elizabeth Taylor photographed at merely 17 years old, and archival footage of 1970s high schoolers display an air of advanced maturity. The observation caught fire on Twitter when former professional baseball player Brandon McCarthy asked whether people in the past actually looked older. Responses flooded in, showing parents looking deeply middle-aged in their early twenties, an eighteen-year-old mother who looks fully grown, and dramatic contrasts, such as a contemporary 27-year-old husband compared alongside his father at age 23.
A dedicated online subculture celebrates this phenomenon through vintage athletic rosters, marveling at professional footballers from the 1970s and 1980s who looked decades older than their official ages of 24, 27, 29, 31, or 33. Michael terms this phenomenon “retrospective aging”—the widespread feeling that past generations matured faster and seemed far more grown-up at younger ages than people do today. Though counterbalanced by the cliché that contemporary kids "grow up too fast," the meme highlights a genuine mystery: is this retrospective aging a physiological reality, or merely an illusion born of selective memory and cultural bias? As Michael poses the central dilemma: “Is it real? Or is it an illusion fueled by cherrypicked examples that feeds rosy nostalgia for a time when people were tough and didn't have it as easy as you kids have it now?”
- Carl Sagan at 18 possessed recognizable youth, contrasting sharply with many of his peers in vintage yearbooks. - Brandon McCarthy's viral Twitter inquiry sparked a flood of comparisons, from teenagers in the 1970s to 1980s soccer players looking middle-aged in their early twenties. - Michael defines "retrospective aging" as the backward-looking perception that historical figures appeared older at younger chronological ages.
---
[01:44](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=104s) The Biological Reality: Why Past Generations Actually Aged Faster
The inquiry reveals that retrospective aging is not just a trick of memory; biological humans today truly are aging at a slower pace than their historical counterparts. A convergence of improved lifestyle habits, higher nutritional standards, reduced smoking rates, accessible healthcare, healthier early childhood conditions, and superior skincare—particularly the widespread adoption of daily sunscreen—has dramatically altered physical aging rates. Researchers from Yale University and the University of Southern California (USC) quantified this by examining biological markers across metabolic, cardiovascular, inflammatory, kidney, liver, and lung functions. Their findings confirm that populations are genuinely staying physically younger for longer periods.
```mermaid flowchart TD accTitle: Biological Factors in Slower Aging accDescr: Diagram illustrating how healthcare and lifestyle improvements decrease biological age over chronological time.
subgraph Inputs["Historical Lifestyle & Medical Improvements"] A["Better Nutrition & Healthcare"] B["Decreased Smoking Rates"] C["Skincare & Sunscreen Use"] D["Modern Dentistry & Orthodontics"] end
subgraph Biomarkers["Yale & USC Biomarker Analysis"] E["Cardiovascular & Lung Health"] F["Metabolic & Inflammatory Indicators"] G["Kidney & Liver Function"] end
subgraph Outcome["Systemic Age Shift (1990s to 2000s)"] H["Biological Deceleration: 60 is the new 56"] end
Inputs --> Biomarkers Biomarkers --> Outcome ```
Addressing the common adage that "60 is the new 50," the data reveals that between the early 1990s and late 2000s, 60 effectively became the biological equivalent of 56, 40 became 37.5, and 20 became 19. Beyond internal organs, cosmetic facial structures have shifted due to the widespread advent of twentieth-century dentistry and orthodontics. Yet, when studies tracked portraiture and faces in magazines from the 1930s through to the present day, facial measurements proved remarkably stable. Across all ethnicities, the only statistically significant shift detected in modern magazine imagery was an aesthetic preference for larger lips.
Michael also notes that retrospective aging occurs on a psychological, personal timeline. High school freshmen inevitably view seniors as towering, mature adults. However, once those freshmen become seniors themselves, looking in the mirror reveals normal teenagers, yet their mental image of the previous senior class remains permanently frozen as older adults.
- USC and Yale researchers proved systemic biological age has decreased across multiple organ biomarkers. - Chronological age shifting metrics (early 1990s to late 2000s): - Age 60 operates like age 56. - Age 40 operates like age 37.5. - Age 20 operates like age 19. - Analysis of magazine faces since 1930 shows that, aside from the modern prominence of fuller lips, overall facial dimensions have not shifted fundamentally.
---
[04:10](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=250s) The Norm Peterson Paradox and the Fashion Drift
Shifting from biology to psychology, Michael examines a viral comparison featuring George Wendt playing Norm Peterson on the sitcom *Cheers*. Social media posts frequently assert that Wendt was 34 years old in early episodes, making him look shocking next to modern 34-year-olds. Michael points out an error in the comparison: the viral image actually comes from Season 5, Episode 24, when Wendt was 38. Even taking authentic photos of Wendt at 34, an edit by Ashley Fairbanks demonstrates that applying a trendy modern haircut and modern clothing instantly erases years from his appearance.
This effect appears just as dramatically when modern hairstyles and contemporary makeup techniques are digitally applied to the cast of *The Golden Girls*, causing their apparent ages to plummet. Michael explains the underlying cognitive mechanism: “These alterations don't make Wendt look more like a 34-year-old; they make him look more like a 34-year-old today.” People select their hairstyles, garments, and mannerisms from whatever cultural stream is active in their youth. As people grow comfortable with their chosen self-expression—or run out of time and energy to follow fast-moving trends—they leave the stream and carry their aesthetic forward. Over the decades, those fashions do not remain "youth styles"; instead, because the cohort wearing them has grown elderly, the clothes themselves acquire an indelible association with old age.
| Visual Factor | Historic Presentation | Modern Digital Alteration | Perceptual Result | |:--- |:--- |:--- |:--- | | **George Wendt (*Cheers*)** | 1980s volume hair, dated polo shirt, period mustache | Contemporary textured haircut, groomed stubble, modern casual shirt | Looks like an active 34-year-old living today | | **The *Golden Girls*** | Coiffed gray perms, heavy period blush, 1980s blouses | Balayage highlights, sleek blowouts, modern cosmetic contouring | Perceived age drops by 15–20 years | | **Generational Fashion** | Youthful outfits chosen during a subject's twenties | Retained into retirement age by the original wearer | The outfit itself transitions from "cool/youthful" to "senior citizen" |
Michael summarizes the semantic shift: “We think people looked older in the past because they look the way old people do today.” To illustrate this, he highlights Dale Irby, an elementary school physical education teacher from Dallas, Texas. In 1973, Irby wore a specific polyester shirt and sweater-vest for his school picture; when he accidentally repeated the identical outfit in 1974, his wife challenged him to keep the bit going. He wore that exact disco-era ensemble for forty consecutive yearbooks until his retirement. Irby’s yearbook montage provides an exaggerated study in cultural semiotics: a wardrobe that originally broadcast 1970s young-adult cool gradually became the uniform of an elderly man purely because its owner aged inside it.
- Retrospective aging is two-fold: biological improvements are real, but our perceptual judgment is warped by anachronistic fashion associations. - The belief that people in the past were styled like old people ignores that they were actually dressed like the old people they would eventually become.
---
[08:20](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=500s) The South Fork Bridge "Time Traveler" & The Curiosity Box
Michael turns the perspective on its head: if people in the past look like old people from the future, has anyone ever been caught dressing like a *young* person from the future? He points to a famous 1941 photograph taken at the reopening of the South Fork Bridge in British Columbia, Canada. When digitized and uploaded online in 2010, viewers fixated on a single man dubbed the "Time Traveling Hipster." Surrounded by fedoras, formal suits, and overcoats, this individual sports wrap-around sunglasses, an unkempt haircut, a hooded knit sweater, and a printed casual top, looking like an indie rocker from the 2010s.
Historical investigators debunked the time-travel myth by analyzing his wardrobe: the screen-printed shirt bore the athletic logo of the Montreal Maroons hockey team, his sunglasses were protective outdoor lenses available in the era, and his portable camera was a period-accurate Kodak folding model. Nothing he wore was impossible for 1941; he was simply exceptionally casual compared to everyone else standing on the bridge. Michael jokes that anyone today wearing strange, ultra-casual garments might accidentally nail future fashion and find themselves revered as an accidental time traveler decades later.
This leads into an endorsement for the *Vsauce Curiosity Box*. Michael showcases items from the summer collection, including Moiré illusion cards and a ceramic Pythagorean cup—a trick chalice attributed to Pythagoras designed to punish greed. The cup functions normally when filled to a modest level, but if an overindulgent drinker fills it past a hidden internal siphon threshold, hydrostatic pressure pulls the entire contents through the stem and drains it onto the drinker's lap. He notes that a portion of all Curiosity Box proceeds supports Alzheimer's research.
- The 1941 South Fork Bridge "Time Traveler" was an ordinary attendee wearing a Montreal Maroons hockey shirt and contemporary protective glasses. - The Pythagorean cup operates as the world's earliest known practical joke, using a siphon loop that drains completely once liquid exceeds the critical lip level.
---
[11:28](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=688s) The Face-Name Matching Effect and Bouba/Kiki
Transitioning to how visual perception intersects with identity, Michael displays an artificially generated portrait of an average-looking man and asks viewers to guess whether he is named Bill, Mark, Justin, or Josh. Citing cognitive research conducted by Millsaps College and Miami University, Michael reveals that test subjects identify this composite face as a "Mark." In these psychological experiments, participants generated and rated digitally rendered faces to construct visual archetypes for common male names, discovering reliable consensus for what an "Andy," "Brian," "Dan," "Justin," "Josh," or "Bill" looks like.
Michael compares this face-name matching effect to Wolfgang Köhler’s landmark psycholinguistic finding known as the Bouba/Kiki effect. When subjects across diverse cultures, age brackets, and unrelated language families are presented with two shapes—one composed of sharp, jagged angles and the other consisting of rounded, bulbous curves—an overwhelming majority label the spiky shape "Kiki" and the soft, rounded shape "Bouba."
```mermaid flowchart LR accTitle: The Bouba and Kiki Sound-Shape Mapping accDescr: Flowchart demonstrating how visual sharpness and softness map directly to phonetic name qualities.
subgraph VisualForm["Visual Geometry"] Sharp["Spiky, Angular Contours"] Round["Curved, Soft Contours"] end
subgraph SoundProfiles["Phonetic Properties"] KikiSound["Sharp, harsh phonemes: 'Kiki' / 'Tim'"] BoubaSound["Soft, rounded phonemes: 'Bouba' / 'Bob'"] end
Sharp <--> KikiSound Round <--> BoubaSound ```
This cross-modal correspondence extends naturally into social perception and human names. Presenting two men—one with angular, narrow features and another with broad, rounded facial architecture—subjects unanimously pair the angular face with the sharp, quick-sounding name "Tim" and the softer face with the name "Bob." Michael concludes this segment by raising the pivotal question of social psychology: do our arbitrary visual associations reflect an inherent biological link, or do people gradually mold themselves over time to fit the social expectations of the names they carry?
- Wolfgang Köhler's Bouba/Kiki experiment demonstrated universal phonetic-to-visual shape associations across worldwide cultural lines. - Research from Millsaps College and Miami University proved people share systematic cognitive prototypes for personal names like Mark, Bill, Dan, and Josh. - The "Tim vs. Bob" experiment mirrors the Bouba/Kiki effect, with angular facial geometry universally eliciting names that have sharper phonetics.
[13:07](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=787s) The Face-Name Matching Effect and the Reverse Dorian Gray Effect
Even if human intuition effortlessly links sharp or rounded sounds with specific visual shapes, there is no biological basis for a name. A baby is named long before anyone can know what their adult face will look like, which makes any apparent resemblance between a person's name and their physical features seem impossible. Yet empirical research proves otherwise. In controlled multiple-choice experiments, participants accurately identify a stranger’s name purely from their photograph far above statistical chance—a phenomenon known as the face-name matching effect. In landmark research conducted by Yonat Zwebner and colleagues, subjects were shown a portrait of an unfamiliar man alongside four possible options: Jacob, Dan, Joseph, or Nathaniel. Pure random guessing would produce a success rate of 25%, but participants selected the correct name, Dan, nearly 40% of the time.
Michael Stevens explains that this feedback loop between label and appearance functions as a psychological counterpart to Oscar Wilde's *The Picture of Dorian Gray*. In Wilde's novel, the protagonist retains his youthful innocence while his painted portrait grotesquely reflects his inner decay and sins. With the face-name matching effect, however, Michael argues that the direction is reversed: “An inanimate sign, a name, influences our actual physical appearance.” Cultural expectations attached to specific names generate self-fulfilling prophecies. For example, studies demonstrate that multiracial faces paired with European names are perceived and rated as looking significantly more European than identical faces presented with non-European names. As people mature, social expectations encourage them to carry themselves, style themselves, and even exercise facial muscles in patterns deemed fitting for their name. This harmony carries tangible stakes: senatorial candidates whose names closely match their facial appearance capture roughly 10% more votes than candidates whose names fit poorly.
```mermaid flowchart TD accTitle: The Face-Name Feedback Mechanism accDescr: How cultural expectations, parental choices, and behavioral adaptations align facial appearance with personal names.
subgraph External["Cultural & Parental Inputs"] A["Parental Facial Resemblance<br/>(Subconscious Name Preference)"] B["Societal Stereotypes & Expectations<br/>Attached to Name"] end
subgraph Internal["Personal Adaptation"] C["Self-Fulfilling Prophecy<br/>(Facial Expressions & Styling)"] D["Identity Adjustment<br/>(Nicknames or Name Changes)"] end
subgraph Outcome["Social Perception"] E["Face-Name Congruence<br/>(Above-Chance Identification & Social Approval)"] end
A --> B B --> C C --> E D --> E E -->|"Feedback Reinforcement"| C ```
Part of this visual correlation stems from the parents themselves: while parents cannot foresee their infant's adult appearance, they unconsciously favor baby names that mirror their own facial features, which the child often inherits. Furthermore, individuals retain the agency to pivot toward a nickname if their legal name feels dissonant; Michael quips that if his disposition had been slightly different, he might simply have gone by "Mike." By selectively obscuring portions of faces in experimental tests, researchers generated heat maps pinpointing the facial zones most predictive of particular names:
- **Anne**: The visual identification centers largely on the tip of the nose. - **Arthur**: The identifier is most strongly concentrated around the bridge of the nose. - **Benjamin**: Recognition correlates heavily with the philtrum (the snot trough). - **Aurelle**: Distinguishable primarily by expressive wrinkles around the eyes and brow.
[17:22](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1042s) Perceptions of Old Age and the Ideal Forever Age
Turning back to the perception of aging, Michael examines what society actually means when categorizing someone as "old." Citing findings published in the *Journal of the American Geriatrics Society*, he reveals that the public consensus sets the threshold of old age at an average of 73.7 years old. However, this benchmark shifts depending on the demographic and vitality of the person answering. Individuals younger than 65 pegged the onset of old age at an average of 71, whereas those older than 65 delayed it to an average of 77. Women situated the threshold three years later than men, white respondents set it eight years later than non-white respondents, and individuals reporting higher personal health consistently pushed the definition of old age further down the horizon than those grappling with poorer health.
When asked what age people actually desire to be, satisfaction is extraordinarily rare. Michael observes that across the lifespan, contentment with one's current age exists almost solely in a fleeting window: “In America, the only people who are the age they would like to be are 21 year olds.” Those younger than 21 yearn to be older, while everyone past 21 wishes they were younger. A forty-year-old typically wants to return to age 30, a sixty-year-old desires to be 40, and a ninety-year-old longs to be 60. When Americans are surveyed on what single age they would choose to remain forever, the nationwide average settles firmly at 36 years old—a number Michael notes with amusement because it happens to be his exact age at the time of filming.
- **Threshold of Old Age (Overall Average)**: 73.7 years old - **Threshold Chosen by Adults Under 65**: 71 years old - **Threshold Chosen by Adults Over 65**: 77 years old - **Gender Disparity**: Women define old age as starting 3 years later than men do. - **Racial Disparity**: White respondents set the threshold 8 years later than non-white respondents. - **Ideal Forever Age**: 36 years old
[18:47](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1127s) The 20th-Century Black-and-White Dream Epidemic
Older generations display an unusual cognitive quirk: they are far more likely than younger generations to report dreaming entirely in black and white. Michael points out that this is not an intrinsic biological consequence of neural aging, but rather evidence that these individuals are survivors of what psychologists call the 20th-century black-and-white dream epidemic. Historical records show that prior to the 1900s, natural philosophers and psychologists across centuries—including Aristotle, René Descartes, and Sigmund Freud—unanimously documented that human dreams featured vivid colors. Michael stresses the universality of these historic accounts: “Prior to the 1900s, Aristotle, Descartes, Freud, everyone who wrote about the topic reported that dreams contained color.”
That consensus abruptly evaporated alongside the advent and rapid rise of monochrome mass media. As black-and-white motion pictures and television broadcasting permeated everyday life during the first half of the 20th century, reports of chromatic dreams plummeted in near-perfect synchronization. By the 1960s, the introduction of color television and color cinematography reversed the trend, and reported dreams steadily regained their colors. Decades later, elderly adults who grew up immersed in grayscale television still report experiencing monochrome dreams at much higher rates than those who grew up in the color era. Subsequent cross-regional studies across China corroborated this media effect, demonstrating that the incidence of black-and-white dreams closely mirrored the availability and adoption of monochrome television within local regions.
[19:58](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1198s) Indeterminate Dreams, Confabulation, and Moving Phantoms
The television correlation raises a deeper epistemological dilemma: did monochrome media fundamentally alter the visual architecture of dreams, or did it merely alter the vocabulary and mental models people rely on to recall them? Direct observation of another person's dream imagery remains technologically out of reach. Drawing on the work of philosopher Eric Schwitzgebel, Michael notes that dreaming states may lack color altogether, existing without chromatic hue, sepia tones, or grayscale. During the waking moment, when the brain attempts to reconstruct an ephemeral narrative, it confabulates visual details to match familiar media templates. Schwitzgebel analogizes dreams to reading a novel: when engrossed in prose, a reader constructs impressions of characters and landscapes, yet nobody stops to debate whether the printed words or mental thoughts were rendered in color or black and white.
Michael summarizes Schwitzgebel's perspective on our fragile inner narratives: “It might be the case that dreams, vaporous as they are, are something we simply have a terrible grip on, and that movies and TV shows have given us the illusion of understanding them.” This suggests that sensory modalities reported in dreams may simply track modern technology. Dreamers rarely report olfactory or tactile sensations today, but future generations raised on immersive, multisensory virtual reality featuring haptic feedback and simulated scents might routinely experience dreams packed with textures and odors—perhaps looking back at 21st-century dreams as strangely sensory-deprived.
The instinct to equate dreaming with cinema rather than waking reality reveals a unique symmetry between the two mediums. Unlike still tapestries, paintings, or photographs, motion pictures and dreams both simulate movement, unfolding narratives, and dynamic causality. Yet unlike live stage theater or concrete physical reality, neither cinema nor dreams consist of the physical matter they portray. Both are ethereal constructs—phantoms projected into darkness. Closing the exploration of aging faces, self-perception, and mental images, Michael poses a final philosophical riddle to the viewer: “Do you get the picture or does the picture get you?”
## Notable quotes > [04:10](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=250s) We think people looked older in the past because they look the way old people do today. — Michael Stevens
> [13:07](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=787s) An inanimate sign, a name, influences our actual physical appearance. — Michael Stevens
> [19:58](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1198s) It might be the case that dreams, vaporous as they are, are something we simply have a terrible grip on, and that movies and TV shows have given us the illusion of understanding them. — Michael Stevens
> [17:22](https://www.youtube.com/watch?v=vjqt8T3tJIE&t=1042s) In America, the only people who are the age they would like to be are 21 year olds. — Michael Stevens
## Mentioned Carl Sagan, Elizabeth Taylor, Brandon McCarthy, George Wendt, Ashley Fairbanks, Dale Irby, Pythagoras, Wolfgang Köhler, Yonat Zwebner, Oscar Wilde, Aristotle, René Descartes, Sigmund Freud, Eric Schwitzgebel, Jake Chudnow, Cheers, The Golden Girls, The Picture of Dorian Gray, Yale University, University of Southern California, Millsaps College, Miami University, Curiosity Box, Journal of the American Geriatrics Society, Montreal Maroons
## Video description Join the Curiosity Box NOW and I'll send you a bunch of free stuff! https://www.curiositybox.com/pages/vsauce
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https://twitter.com/tweetsauce https://www.instagram.com/electricpants
Carl Sagan High School yearbook: https://www.loc.gov/resource/mss85590.041/?sp=2&r=-0.241,0,1.481,1.244,0
2001 Tiger Beat: https://allisontanenhaus.com/tiger-beat
Slade on Fabulous: https://i.pinimg.com/474x/23/b3/49/23b34988cc3958fb59cf66f0a15f9850.jpg
Elizabeth Taylor at 17: https://www.vintag.es/2018/04/elizabeth-taylor-by-philippe-halsman-1948.html
70s high school students: https://www.criticalpast.com/video/65675046349_students-and-navy_high-school-students_waste-of-money_interested-to-join
Brandon McCarthy tweet: https://twitter.com/bmccarthy32/status/1210350854571585537?lang=en
80s footballers: https://twitter.com/80sAging
80s high school IG: https://www.instagram.com/reel/CZcKEeJhUSy/?utm_source=ig_embed&ig_rid=4589a200-7096-44e8-b5e5-0324e5da78c9
Sunscreen commercial: https://www.youtube.com/watch?v=krGctNSuSMI
Historical orthodontics: https://commons.wikimedia.org/wiki/Category:Historical_orthodontics
Is 60 the new 50? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897168/
Dua Lipa’s dad: https://twitter.com/lgbtdlipa/status/1377740115020283907
Face changes in magazines:
https://www.semanticscholar.org/paper/Changes-in-esthetic-standards-since-1940.-Berneburg-Dietz/d9f38e081f1dce3bde1dc758cf3e808a03cf7a73 https://pubmed.ncbi.nlm.nih.gov/9714286/#:~:text=The%20results%20showed%20that%20%281,lip%20curl%2C%20and%20vermilion%20display https://pubmed.ncbi.nlm.nih.gov/10337246/
Norm 34 comparison tweet: https://twitter.com/Y2K_mindset/status/1412131747475509250
Norm edits: https://twitter.com/ziibiing/status/1412762456254992393
Golden Girls with modern style: https://www.tiktok.com/@sugacane22/video/7050305381406575919
Dale Irby: https://www.dallasnews.com/news/2013/06/30/richardson-teacher-s-retirement-ends-one-last-echo-of-disco-fashion/
Time traveling hipster:
https://www.snopes.com/fact-check/time-traveling-hipster/ https://www.communitystories.ca/v1/pm_v2.php?id=record_detail&fl=0&lg=English&ex=00000470&rd=117666# https://timetravelnexus.com/time-travel-nexus-investigates-the-time-travelling-hipster/ https://www.youtube.com/watch?v=nD_b83_RpJ0
Face-name matching effect:
https://www.apa.org/pubs/journals/releases/psp-pspa0000076.pdf
Bouba/kiki effect: https://en.wikipedia.org/wiki/Bouba/kiki_effect
Multiracial faces: https://pubmed.ncbi.nlm.nih.gov/19065862/
Social bouba/kiki effect:
https://pubmed.ncbi.nlm.nih.gov/28597194/ https://link.springer.com/article/10.3758/BF03194119
Dori Gray image: https://society6.com/product/dorian-gray-revisited_stretched-canvas
How old is old? https://agsjournals.onlinelibrary.wiley.com/doi/full/10.1111/jgs.17379
What age would you like to be?
https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00067/full https://theconversation.com/at-what-age-are-people-usually-happiest-new-research-offers-surprising-clues-156906
Black & white dreams:
http://www.faculty.ucr.edu/~eschwitz/SchwitzPapers/DreamB&W.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.893.2832&rep=rep1&type=pdf https://www.sciencedirect.com/science/article/abs/pii/S1053810008001323
Mind Field episode about mind reading and recording dreams: https://youtu.be/AgbeGFYluEA
Mr. Stevens' wardrobe: https://designerbrand.co/products/mcdonals-food?_pos=1&_sid=ae2ea94b3&_ss=r
music by Jake Chudnow https://www.youtube.com/jakechudnow
[Source](https://www.youtube.com/watch?v=vjqt8T3tJIE)