Zed Shaw

Key Insight: Trillion-dollar tech companies have replaced industrial-era robbery with a subtler exploitation: using social manipulation and open source ideology to beg developers into donating labor that these companies could trivially afford to pay for.

Shaw coins the term 'Beggar Barons' to describe trillion-dollar tech companies that exploit open source developers by begging for free labor instead of paying for it. Drawing a parallel to the Robber Barons of the 1800s, he argues that companies like Apple, Microsoft, and Google built their empires on unpaid open source contributions while maintaining a facade of innovation. He illustrates this with personal anecdotes: Apple begging him to modify Mongrel for free, Microsoft expecting free documentation fixes via pull requests, and Microsoft attempting to absorb his website's traffic upon hiring him. Shaw formally defines Beggar Barons as billion-dollar companies that use open source as a facade to extract free labor they could easily afford to pay for.

Key Insight: Survival crafting games served as a psychological pressure valve during the pandemic by giving Shaw a fantasy version of his real helplessness — one where he could actually fight back, take control, and make dying fun.

Shaw recounts how survival crafting video games became his primary coping mechanism during the COVID-19 pandemic. Starting from a place of helplessness and despair — alone in his apartment, uncertain about the virus, and feeling powerless against forces beyond his control — he dove into a series of games (Windbound, Subnautica, The Forest, 7 Days to Die, Valheim) where he was similarly alone and vulnerable but could actually fight back. He progressed from hating death in games to embracing it, learning to mod games to reject unfair mechanics and take control. When he received his vaccine, his obsession with the games evaporated, revealing they had been a psychological survival mechanism mirroring his real-world situation.

Key Insight: Shaw's identity is the cycle of impulsive destruction and resourceful repair — the same recklessness that creates problems also enables the cross-domain thinking that solves them.

Shaw tells the story of receiving a custom titanium palette knife he ordered four years ago and forgot about, then immediately damaging it through an unnecessary repair attempt. He applied permanent Locktite to a perfectly fine screw, couldn't remove it, and scored the polished titanium pommel with pliers. He then redeemed himself by progressively sanding and polishing the damage away, making a creative connection between titanium polishing and a guitar fret polishing cloth he had lying around. The story serves as a self-portrait of his personality: impulsive destruction followed by resourceful repair.

Key Insight: Open source communities that claim to be meritocratic and egalitarian often function as authoritarian systems where rules are enforced harshly on ordinary members but waived for those in positions of power, and the community's willingness to accept this double standard is itself the core mechanism of authoritarianism.

Shaw argues that authoritarianism is deeply embedded in software development communities, particularly open source projects. He defines authoritarianism as deference to authority given or taken without enthusiastic informed consent, and separates analysis of authoritarian leaders from authoritarian communities. Using the Python community as his primary case study, he contrasts the treatment of PSF leader Steve Holden—who allegedly asked women to touch a sexually suggestive prop at PyCon 2012 and faced no consequences—with the immediate ejection and job losses of two attendees who made a private dongle joke at PyCon 2013. Shaw contends this disparity in punishment demonstrates clear deference to authority, proving the Python community and its leadership operate as an authoritarian system.

Key Insight: Demands for programmer ethics education are a form of power politics that targets workers with no institutional power while giving a pass to the corporations and managers who actually make unethical decisions.

Shaw argues that Google's free programming courses marketed as bachelor's degree equivalents are performative rather than genuinely helpful to the poor, noting that Google ignored community colleges and didn't offer free MBA programs that would give actual power to disadvantaged people. He then turns to what he calls 'Empathy Gatekeepers'—people who demand programmers take extensive ethics and soft skills courses while ignoring the complete absence of such requirements in Google's program. Shaw contends that demands for programmer ethics training are really about control and political signaling, not about producing better people, pointing out that history's worst actors were trained in soft skills, not programming. He concludes that if ethics advocates were serious, they'd hold corporations and managers accountable first rather than targeting powerless working programmers.

Key Insight: The programming industry's culture of shame and rigid correctness is an internalized authoritarianism that kills creative expression, and recognizing it in yourself is the first step toward writing code with the same freedom you'd bring to art.

Shaw draws a parallel between the fear-driven perfectionism he observed in classical realist painters and the shame-based culture of the programming industry. He argues that for 30 years, corporations and open source leaders have weaponized shame to control programmers, creating an internalized authoritarianism that squeezes creative space out of code. This realization crystallizes when he encounters Nim's style insensitivity feature, which allows flexible naming conventions, and has a visceral negative reaction he can't rationally justify. He recognizes his reaction as the same authoritarian impulse he criticizes, and resolves to try Nim as an act of defiance against rigid programming culture. The post connects his artistic journey toward leaving space in paintings with a desire for the same creative freedom in programming.

Key Insight: Artistic obsession overrides physical pain and practical sense, because the compulsion to capture a perfect moment in paint is its own reward that no injury can diminish.

Shaw recounts a plein air painting expedition through Tbilisi, Georgia during a round-the-world trip, walking miles on a repeatedly injured left ankle while carrying 25 pounds of painting and camera gear. He describes his obsessive dedication to outdoor painting as a personal compulsion, detailing his equipment setup, the Georgian food and culture he fell in love with, and his discovery of the perfect painting spot on a pedestrian walkway near the Bridge of Peace. The piece builds from travelogue into a meditation on the emotional process of translating a scene into paint, using palette knives to capture the swirling contrast of sadness at leaving Tbilisi mixed with excitement about returning home. Written entirely from memory, it captures the intersection of physical suffering, artistic obsession, and the bittersweet end of a journey before 2020 changed everything.

Key Insight: Painting is not mystical talent but a learnable skill of temporarily overriding the brain's automatic perception, and its real power lies in deliberately exploiting visual cognition to create controlled experiences for viewers.

Shaw explores painting as a practice of disabling the brain's automatic pattern recognition to see raw visual reality. He examines three properties of paintings—energy, space, and magic—arguing that energy comes from loose, intuitive brushwork, space determines how much room a painting leaves for viewer interpretation, and magic is a false mysticism people project onto a learnable skill. He draws an analogy between tightly defined research papers and open-ended poetry to explain how paintings can either dictate meaning or invite the viewer in. He concludes that the real 'magic' of painting is the deliberate exploitation of visual perception to create experiences, not some spiritual gift.

Key Insight: Outsourcing your tools to platforms like WordPress trades short-term convenience for long-term skill atrophy and creative limitation.

Zed Shaw documents his migration away from WordPress to a custom blog built with Svelte and Sapper. After using WordPress since 2014 while he studied painting, he grew frustrated with its poor media handling and confusing UI. He credits Svelte's reactive model and the Zettlr writing tool as the catalysts for rebuilding his web presence. The post reflects on how maintaining custom blog software keeps programming skills sharp, something he regrets neglecting during his painting years.

Key Insight: Silicon Valley billionaires weaponize old criticisms against powerless individuals while hiding behind progressive values they don't actually practice.

Shaw defends 'BrandonM,' a Hacker News commenter whose 2007 skeptical comment about Dropbox was publicly mocked by Drew Houston and Sam Altman over a decade later. Shaw argues this represents a power imbalance where billionaires punch down at ordinary people who can't even delete their old comments. He critiques Y Combinator's refusal to allow comment deletion as abusive and contradictory to their professed progressive values. Shaw then methodically analyzes BrandonM's original comment, arguing it was actually reasonable given the 2007 technology landscape. The core argument is that Silicon Valley elites demand openness to criticism but weaponize their power against anyone who once doubted them.

Key Insight: Photographing paintings is a forensic documentation problem, not an artistic one, and most photography tools and platforms are designed to make images look pleasing rather than accurate.

Zed Shaw explores the surprisingly difficult challenge of photographing paintings accurately. He explains that cameras' automatic corrections, light color temperature, specular highlights, and exposure issues all conspire to produce inaccurate reproductions. After extensive experimentation with various techniques, he settles on a process using a tripod, zoom lens, Expodisc for white balance calibration, and multiple exposures—though he admits he usually skips most of it out of laziness.

Key Insight: Programming communities that collectively designate acceptable targets for hatred—whether beginners or dissenters—are enabling the same escalation patterns that drive real-world abuse and tragedy.

Shaw addresses the death threats and suicide encouragement he receives from programming communities angered by his opinions on languages like Python 3. He traces the psychology of online abuse from IRC hostility toward beginners to escalating bullying that can drive people to suicide, drawing parallels between tech community harassment and broader patterns of sociopathic abuse. He argues that online communities collectively designate acceptable targets, giving sociopaths permission to escalate harassment. Shaw refuses to be intimidated, asserting his right to self-defense and declaring that his life is thriving despite the threats.

Key Insight: Organizations that adopt codes of conduct but never enforce them against members who harass dissenters create environments where honest criticism becomes professionally dangerous.

Zed Shaw details his conflict with the Python Software Foundation after publicly criticizing Python 3, claiming PSF members actively tried to censor his book and damage his livelihood. He outlines anticipated PSF defenses and systematically rebuts each one, arguing that the PSF's Code of Conduct is meaningless if never enforced. Shaw contends that his treatment demonstrates a broader pattern where dissenting opinions in the Python community are met with abuse rather than constructive engagement. He warns other Python developers that if the PSF is willing to target someone with his stature, smaller contributors are even more vulnerable.

Key Insight: Talent is neither required nor desirable for enjoying a creative pursuit — liberation comes from accepting you have none and focusing entirely on the process and what you learn.

Shaw reflects on a failed flower painting to argue that talent is irrelevant to enjoying creative pursuits. He describes his lack of natural ability at painting, explaining that his skills come entirely from reading books and deliberate practice rather than innate gift. He credits painting, particularly self-portraits and landscapes, with saving his life during a dark period. The core message is that having zero talent is actually liberating because it frees you to focus on the process rather than the result.

Key Insight: Drawing accuracy comes not from magical precision but from iterative refinement, and memory drawing combined with chunked memorization and gradual correction can match conventional methods while feeling more meditative and direct.

Shaw documents his experiment combining memory drawing techniques with iterative refinement processes from traditional art training. He traces the history of memory drawing back to Père Lecoq's 1848 French Academy experiments, then describes his own methodology: staring at a scene, covering it, drawing from memory, then checking accuracy and repeating with finer detail. He tests this approach across multiple media (charcoal, pastel, oil paint) and drawing styles (relative measurement, block-in, painterly), finding that pastels and the block-in/painterly combination work best. The results surprised him with their accuracy even on early rounds, and the process felt meditative compared to conventional constant-reference drawing.

Key Insight: Art education often rewards performative emotional narratives and mystical discovery rituals while punishing students who approach their craft with honesty and practical intent.

Shaw recounts three experiences with art teachers who prioritize performative emotional attachment and mystical discovery over practical skill development. In the first vignette, he's attacked for honestly critiquing a student's video installation piece. In the second, a teacher scolds him for painting noses as practice rather than fabricating a deep personal connection to his subject. In the third, a teacher uses distracting colored lights and music while simultaneously demanding accuracy, then admits she never uses these techniques herself. Together, these stories illustrate Shaw's frustration with art education that values pretentious narrative over craft and honest engagement.

Key Insight: Art education institutions can become gatekeeping cults where teachers crush students who deviate from orthodoxy, and surviving such environments shouldn't require extraordinary personal resilience.

Shaw recounts his experience at an art school where a teacher systematically undermined him from the moment he arrived. The teacher mocked his brushes, failed to warn him about technique requirements until it was too late, and ultimately spent an entire lunch trying to convince Shaw to quit studying art—all triggered by a student's outrage over his joke Bob Ross paintings. Shaw identifies the school's culture as cult-like, where deviation from orthodoxy provokes hostile gatekeeping. He credits his own stubbornness for surviving the encounter but notes most students would have been permanently derailed.

Key Insight: Computer science education's rejection of copying and repetition in favor of conceptual learning is an anomaly among creative disciplines, and adopting the proven rote-then-create pedagogy of music and painting would make programming far more accessible to beginners.

Shaw argues that copying and repetition (rote learning) are the foundation of all education, yet computer science uniquely dismisses these methods in favor of conceptual learning. He draws parallels to music, painting, writing, and martial arts, where copying masters and repetitive practice are universally accepted as essential. He contends that conceptual-first CS education acts as a weed-out system rather than genuinely teaching beginners. Shaw proposes adopting music-style pedagogy for beginners (scales, copying, modification) and painting-style pedagogy for intermediates (master copies and studies), arguing this would make programming accessible to more people.

Key Insight: The mystique surrounding any skill or technology serves to enslave people to gatekeepers, and education's true purpose is to strip away that mystique so anyone can access the real, simpler thing underneath.

Shaw argues that 'magic' — the mystical aura surrounding any skill or technology — is fundamentally a con that obscures reality and enslaves people. He recounts telling a musician friend that learning theory wouldn't kill her artistry but reveal something more beautiful. He extends this to technology, arguing that much of the magic around programming languages and companies hides ugly designs and poor implementations. Shaw frames his life's mission as stripping away magic through education, citing his 'Learn Code the Hard Way' books as proof that programming isn't reserved for special geniuses. He concludes that most practitioners don't intentionally gatekeep — they simply cargo-cult rituals they mistake for essential practice.

Key Insight: Cities shape the people who live in them, and sometimes the healthiest thing is to leave before you fully absorb a city's dysfunction.

Zed Shaw announces his move from San Francisco to Miami, reflecting on his seven years in the Bay Area with mixed feelings. He credits San Francisco for launching his book career, learning to paint, and memorable moments at Union Square and Fort Mason, but criticizes the city's toxic culture war between tech bros and anti-tech libertines. He chose Miami for its lack of state income tax (important for his plan to study art overseas), its art scene, and its generally happier vibe. The post is structured as a farewell love letter to San Francisco that doubles as an indictment of the city's personality.

Key Insight: The tech community's online outrage machine has far less real-world power than people believe, and creators should stop fearing it and build what they want.

Shaw argues that the programming community's ability to influence careers and products through platforms like Reddit and Hacker News has effectively ended. He uses his own experience as evidence: after Reddit removed his Python book from recommended reading lists and online mobs attacked his criticism of Python 3, his traffic and sales remained unchanged. He contends that the previous generation of programmers consistently backed terrible ideas based on tribal loyalty rather than merit, and that a newer generation of programmers is rejecting this tribal, hive-mind culture. He concludes by encouraging creators to ignore the online mob and keep making things.

Key Insight: Black and white high-contrast photography can serve as a practical composition tool for painters, stripping scenes down to their essential shapes before capturing detailed color reference.

Shaw documents a visit to the SF MOMA where he practiced photography composition using his Sony camera's High Contrast Black & White filter. He describes his workflow of using camera effects to find interesting shapes and compositions, then capturing RAW images for painting reference. The post is primarily a photo essay with brief captions describing his approach to each shot. He focuses on using the B&W filter to abstract subjects into pure shapes, whether people, sculptures, buildings, or neon signs.

Key Insight: Watercolor painting becomes approachable when you practice with monochrome ink first and think systematically about building value layers from light to dark.

Shaw shares his practice session with watercolor and ink, explaining the fundamental challenge of watercolor: it's transparent, so you paint light to dark using the paper as white. He walks through a simple three-step process for building watercolor paintings using value layers, starting with the lightest wash and progressively adding darker tones. He experiments with adding pen and ink to color watercolors but remains unconvinced about combining the two media.

Key Insight: Classical art training is a methodical, long-term process where each completed project clarifies what medium and technique to pursue next.

Shaw shares the completion of a six-month cast drawing of Saint Anger done on claybord using controlled pencil rendering. He discusses the properties of claybord as a drawing surface, noting its erasability and durability but warning it goes dark too easily. He outlines his next steps: moving to cast painting and Bargue plate copies rendered in paint rather than pencil, which he finds tedious. The post reflects a working artist methodically progressing through classical art training techniques.

Key Insight: Shaw documents his serious commitment to classical art training while maintaining his characteristic irreverence about the process.

Shaw shares the completion of a months-long cast drawing rendered in pencil on claybord, which he named 'Saint Anger' after the Metallica album. He explains that he names his cast drawings after metal albums because listening to metal keeps him sane during the meticulous rendering process. He outlines his next steps in classical art training, including Bargue plates and master copies, but declares he's done with pencil work.

Key Insight: Failed paintings become valuable learning experiments when approached as opportunities to practice correction techniques like scumbling and glazing.

Shaw documents a plein air painting session at the Willamette River during a brief trip to Portland, noting he's been too busy with writing and school to paint outdoors. He describes the challenges of painting in bright noon sunshine, which made everything too dark and the river too intensely blue. Back home, he experimented with scumbling and glazing techniques to correct the painting's issues. He treats the flawed painting as a learning opportunity, comparing the correction process to Photoshopping an image.

Key Insight: Mastercopying teaches an artist to reverse-engineer another painter's technique by physically recreating their brush strokes and color decisions.

Shaw shares his completion of a mastercopy of a John Singer Sargent painting, done as part of a class exercise. He notes an imperfection in the mouth of his copy and plans to attempt another Sargent piece, possibly in pastel. He explains the pedagogical purpose of mastercopying: learning how another artist approached their subject by studying brush strokes and color mixing embedded in the work.

Key Insight: Shaw's art practice follows traditional atelier methods like cast drawing, approached with his signature irreverent humor.

Zed Shaw shares a brief progress update on his second cast drawing, depicting an old man he believes is a saint. He humorously dubs the piece 'Saint Anger' after the Metallica album he listened to while working. The drawing is done in pencil on Ampersand clay board. The post is a simple visual progress log with minimal commentary.

Key Insight: When a company surveils employees' personal behavior without consent and uses it for employment decisions, it's not innovative HR — it's a legal and ethical violation that the tech industry shouldn't celebrate.

Shaw argues that Riot Games violated California employment law by mining employees' in-game chat histories without their knowledge or consent, then using that data to identify employees for termination or reprimand. He details how the company analyzed past gameplay behavior, classified employees as toxic based on dubious sentiment analysis, and planned to extend this surveillance into their hiring process. Shaw enumerates eight specific legal and ethical violations, ranging from California Labor Code 980 to human research ethics requirements to discriminatory testing laws. He concludes that the practice deserves a class action lawsuit and criticizes the tech industry for celebrating corporate surveillance.

Key Insight: Silicon Valley's comedy depends on portraying programmers as pathetic, emasculated betas subordinate to alpha business types, and the show's writers keep finding new ways to degrade technical people for laughs.

Shaw writes a satirical fake script for HBO's Silicon Valley as a critique of the show's portrayal of programmers. He exaggerates the show's recurring tropes — Richard's stuttering, physical incompetence, and submissiveness to business people — to absurd extremes to highlight what he sees as the show's reductive and demeaning depiction of technical people. The parody escalates from stuttering to self-mutilation, making the subtext of the show's dynamics explicit and grotesque. Shaw frames it as a job audition, but the piece is clearly a takedown of the show's reliance on emasculating programmer stereotypes for comedy.

Key Insight: Platforms that claim to enforce real-name identity policies but require membership to report impostors are effectively extorting signups while enabling the very abuse they claim to prevent.

Zed Shaw describes his experience with someone impersonating him on Facebook and Facebook's refusal to take action. He was forced to create his own Facebook account just to report the impostor, which he argues constitutes extortion of signups. Facebook's response was bureaucratic deflection rather than resolution. He argues that Facebook's claim to enforce real-name identity policies while failing to remove impostors makes them liable for any resulting slander. He contends that reporting abuse on a platform should not require membership on that platform.

Key Insight: The ability to endure necessary but boring practice is not an innate character trait but a trainable skill, and framing it as poison you can build immunity to removes the shame and provides a concrete path forward.

Shaw introduces the concept of 'Educational Mithridatism' — deliberately building tolerance for boring but necessary practice, named after the king who immunized himself against poison. He argues that hating repetitive exercises like scales or flashcards is completely normal, not a character flaw, and rejects both the puritanical worship of mindless work and the bohemian rejection of rote learning. The ideal approach combines rote training for foundational skills with creative application. Shaw provides a concrete method: establish a baseline tolerance, incrementally increase exposure time, take breaks, and periodically test whether the practice is paying off. The core message is that the ability to endure productive boredom is a trainable skill, not an innate virtue.

Key Insight: Meritocracy in tech has been corrupted from a system that protects talented outsiders into one that shields toxic employees from consequences, making it just another form of workplace abuse.

Shaw argues that meritocracy, while appealing in theory as a way to judge people solely on skill, fails catastrophically in practice because it creates 'Mr. Teflon' — toxic employees who leverage one past achievement to become untouchable despite terrible behavior. He contrasts programming and painting as genuinely skill-based activities where competence is easy to verify, then shows how the meritocracy ideal gets weaponized to protect incompetent assholes. Shaw acknowledges the alternative — bureaucratic HR-driven organizations — has its own problems of credentialism, but at least provides mechanisms to remove toxic people. He concludes that self-employment is the only true meritocracy.

Key Insight: Using personal tragedy to shield your public work from criticism is a manipulative tactic that robs audiences and users of their right to honest response, whether the work is poetry, art, or open source software.

Shaw argues that creators across poetry, art, and open source software use personal tragedy as a shield against legitimate criticism of their work. He observes this pattern in cafe poetry readings, abstract art installations, and open source projects, where attaching emotional meaning to mediocre work makes it immune to honest feedback. Shaw contends this is unfair to audiences and users, who deserve the right to genuine reactions. He advocates for accepting criticism when you publish work publicly, handling abusive people separately, and taking responsibility when your work has real problems.

Key Insight: Complex creative problems in any medium—code, writing, painting—are best solved by decomposing them into small, describable pieces and filling in the blanks, a process that machines could eventually automate.

Shaw describes his teaching method of having beginners write comments first, then fill in code underneath—a technique he calls converting complex problems into 'paint-by-numbers' problems. He applies this same principle across disciplines: coding, writing, and painting all benefit from outlining before executing. He then proposes a code editor that would automate this process, using machine learning to suggest code beneath comments while continuously running tests. The editor would essentially formalize what programmers already do—searching Stack Overflow and documentation—into an integrated, intelligent workflow. Written in 2015, the idea presciently describes something close to modern AI coding assistants.

Key Insight: Open source projects that prioritize appeasing their loudest toxic users over serving the broader community end up with an empty room and a product nobody else wants to use.

Shaw uses an extended satirical dialogue to criticize open source software projects that cater to difficult community members at the expense of regular users. The allegory portrays FLOSS maintainers as bakers who put 'turds' (bad design decisions) in free cookies to appease a loud, obnoxious 'sentient fly' (toxic power users), while charging others for the clean version. The piece skewers the defensive posture maintainers take when receiving criticism, hiding behind the 'it's free' defense and bureaucratic contribution processes. Shaw argues that offering something for free doesn't immunize it from criticism, and that prioritizing toxic community members over ordinary users is self-destructive. The story ends with the café empty except for the fly—illustrating how this dynamic drives away the broader user base.

Key Insight: Constantly encountering software bugs as a user breeds defensive programming habits, but the tech industry's hostility toward bug reporters discourages the very feedback it needs most.

Shaw describes his seemingly supernatural ability to trigger software bugs in every system he touches, from Pearson's royalty payment system to Google Kubernetes to his bank's internal databases. He recounts a pattern spanning decades where routine actions like changing an address or adding bold text cause mysterious failures that support teams can't explain. He argues this curse actually made him a better programmer, since he learned to write defensively by assuming everything would break. He also criticizes companies for expecting users to file detailed bug reports and for getting hostile when bugs are pointed out.

Key Insight: The tech world's failure to distinguish between someone with zero coding experience and someone with a few months of practice leads to educational materials that serve neither group well.

Shaw argues that the tech education world fails to distinguish between people who have never coded at all and those with a few months of experience, lumping both into 'beginner.' He proposes adopting terminology from art education: 'beginning coders' for people with zero experience, and 'early coders' for those who grasp syntax but struggle with problem-solving. Beginning coders need mechanical repetition to internalize concrete skills like syntax and typing, while early coders need guided projects to develop abstract problem-solving. Shaw attributes this blind spot to programmers' inability to visualize someone with zero knowledge, which he sees as a root cause of poor programming education.

Key Insight: The tension between technical accuracy and expressive freedom in painting mirrors a broader cultural dynamic, and systematically exploring both axes can reveal which combinations produce genuinely interesting art versus comfortable clichés.

Shaw proposes a framework for categorizing paintings along two axes: liberal vs. conservative drawing, and liberal vs. conservative painting (color/application). He observes that American Impressionism typically features conservative (accurate) drawing with liberal (sloppy) painting, which he sees as a safe cliché. He maps out four quadrants — from hyperrealism (conservative/conservative) to abstract expressionism (liberal/liberal) — and plans a systematic painting project exploring all four dimensions using the same subject across four canvases.

Key Insight: Digital painting tools fundamentally misunderstand painters by offering infinite color selection instead of simulating the constrained, subtractive process of mixing from a limited palette of primaries.

Shaw recounts his experience learning digital painting during a six-hour flight, comparing it to traditional painting. He argues that digital painting tools fundamentally misunderstand color mixing by presenting infinite color pickers instead of simulating how painters actually combine pigments from limited palettes. Despite this major flaw, he finds digital painting useful for portability and cost, and describes his process of following along with Richard Robinson's painting videos using ArtRage on a cheap graphics tablet. He draws a parallel between his painting learning method and his coding education philosophy: forcing yourself to work from memory rather than side-by-side copying.

Key Insight: Online platforms run by corporations with financial interests will always selectively moderate to protect their own investments while allowing unchecked abuse of outsiders who lack institutional power.

Zed Shaw writes an open letter to Paul Graham criticizing Hacker News as a platform that enables sustained harassment and abuse while YCombinator profits from it. He recounts seven years of repeated slander through anonymous accounts and recycled attack posts, arguing that YC selectively moderates only criticism of its own startups while allowing personal attacks on others. Shaw positions himself as someone with nothing to lose who could retaliate by publicly reviewing and criticizing YC startups, leveraging his large audience of coding students. He ultimately appeals to Graham to either shut down HN comments or heavily moderate them, arguing the experiment has run its course.

Key Insight: Active practice alongside instruction — not passive consumption and note-taking — is the most effective way to learn a craft skill.

Shaw describes his evolution in how he uses painting instructional videos, moving from passive note-taking to actively painting along. After experiences with Bob Ross, Johannes Vloothius, and Richard Robinson — including an in-person workshop — he had the obvious realization that following along with paint in hand is far more effective than watching and taking notes. He argues this approach lets him always have a subject to paint and combines practice sessions with learning. The post concludes with ten practical tips for anyone wanting to paint along with instructional videos.

Key Insight: The unavoidable awkwardness of being a beginner — the 'dork distance' — is the real barrier to mastery, and the fastest way past it is to post your failures publicly until the fear loses its power.

Shaw introduces the concept of 'dork distance' — the unavoidable period of public incompetence that beginners must endure to develop any skill. He argues that mastery in painting, music, programming, or any practiced skill requires accumulating 'mileage' (miles of canvas, hours of practice, pages of code), and that this distance must be traveled while looking foolish. He uses his own unabashed dorkiness as proof that social embarrassment is survivable and even liberating. His practical advice: post your beginner attempts online under your real name or a pseudonym, endure the initial panic, and discover that the fear was imagined. The post is both a personal manifesto on embracing awkwardness and an educational philosophy about how fear of embarrassment is the primary barrier to learning.

Key Insight: Cultures that ban criticism don't eliminate negativity — they just drive it underground where it becomes manipulation, power abuse, and exploitation by those at the top.

Shaw argues against Pixar's 'plussing' culture — the idea that you should never criticize but only build on others' ideas. He contends that criticism is essential to producing quality work in any creative field, whether art, code, or writing. He points to Pixar's wage theft scandal as evidence that 'and then' cultures are really passive-aggressive power structures that suppress dissent. Shaw advocates a balanced approach: create freely in isolation first, then apply rigorous self-criticism before presenting work to teams. He rejects both toxic positivity and abusive criticism, arguing that honest feedback is what separates professionals from delusional amateurs.

Key Insight: Platforms like Slack sit on untapped creator-economy potential that could be unlocked by simply inverting their payment model to let members pay creators through the platform.

Shaw writes an open letter to Slack proposing a simple feature: a paid membership checkbox for Slack teams. He wants to use Slack as a platform to teach coding, where students would pay to join his Slack team, with Slack handling all payment processing and taking a cut. He argues Slack already has every feature needed except the ability to invert who pays, and frames it as a mutual business opportunity that would save him from dealing with payment and membership management overhead.

Key Insight: Surveillance-based advertising is fundamentally outcompeted by purchase-history targeting because private life events are poor predictors of buying behavior compared to what someone actually bought before.

Shaw argues that 'Voyeur Marketing' — the practice of using personal data from social networks to target ads — is fundamentally flawed because knowing someone's private life doesn't predict purchases as well as knowing their past purchases. He contends that the distance between a life event and an actual purchase is mediated by research and brand loyalty, making personal data statistically invalid as a purchase predictor. He contrasts Amazon's effective recommendation engine (based on purchase history) with Twitter and Facebook's ineffective ad targeting (based on social behavior). Shaw predicts social networks will eventually pivot to building direct marketplaces to compete with Amazon, closing the gap between social activity and actual transactions.

Key Insight: Artists and entrepreneurs are mirror images of the same entitlement — both claim world-changing importance while functioning as status-seeking servants of the ultra-wealthy.

Shaw draws a satirical parallel between artists and entrepreneurs, arguing both groups occupy inflated positions of status in society while primarily serving the ultra-wealthy. He mocks the idea from The Atlantic that 'entrepreneurs are the new artists' by showing how both groups share traits of self-importance, entitlement, and a belief they deserve free money simply for existing. Through sections on sexiness, world-changing ambitions, entitlement, and importance, he argues both groups produce work that ultimately benefits wealthy patrons while claiming to serve society. He criticizes Molly Crabapple's call for universal basic income as self-serving artist entitlement rather than genuine concern for the poor. The piece concludes that both artists and entrepreneurs have been granted undeserved social status for 'doing so little.'

Key Insight: Programming culture's hero worship and gatekeeping through trivia memorization actively prevents honest critique of established code and harms efforts to teach newcomers how to write safer software.

Zed Shaw announces he's removing his 'Deconstructing K&R C' section from Learn C the Hard Way after years of backlash from the C programming community. Despite his goal of teaching people to critically analyze code—even code written by famous programmers—he was met with hostility from pedants who admitted he was technically correct but refused to accept his critique of their heroes. He reframes the book as a course in writing secure C code and rigorous programming analysis, while subtly encouraging readers to move on to newer languages like Go, Rust, and Swift. Shaw views the episode as emblematic of a toxic programming culture that prioritizes hero worship and trivia memorization over genuine education and improvement.

Key Insight: Constraints like weather, tides, and portability drive practical innovations in a plein air painting practice, pushing toward simpler setups and more efficient workflows.

Shaw recounts a plein air painting session at Baker Beach in San Francisco, where he painted a small oil study before the rising tide forced him to leave. He describes his compact 'cutie kit' setup that allows him to hold a palette and paint while standing. He critiques his own work, noting the water came out too green and lacked reflected sky light. The post focuses on practical adjustments he's making to his portable painting kit, including reducing brushes and limiting his palette to four colors for faster setup in challenging outdoor conditions.

Key Insight: The basic security practice of logging and disclosing who accesses user accounts is technically trivial but will never be implemented because companies profit from the opacity.

Shaw proposes a detailed consumer privacy law that would require companies to disclose which employees can access user accounts, maintain visible access logs, and let users block specific employees from viewing their data. The proposal includes mandatory credential-access disclosures at login screens, monthly access activity notifications, and requirements that company agents identify themselves when interacting with users. Shaw acknowledges the proposal is technically feasible but politically impossible, as companies have no incentive to reveal their internal access practices. He concludes with cynical realism that even if consumers had this information, most wouldn't act on it.

Key Insight: Art should be defined not by what it produces but by the flow state it induces in the creator—a neurological altered consciousness that programming, painting, music, and writing all share.

Shaw argues that the traditional art world's gatekeeping over what counts as 'art' is hypocritical, since conceptual art already stretches the definition to absurdity. He proposes an alternative definition: art is any activity that induces a state of flow requiring altered brain function. Drawing on neuroscience research about how music engages the whole brain differently, he extends this to programming, writing, painting, and dancing. He suggests flow may explain why people enjoy creative activities as a form of altered consciousness similar to meditation or religious experience. He concludes that art education should focus on teaching students to achieve flow states rather than just producing external results.

Key Insight: Coding bootcamps exploit students' fear of unemployment to charge premium prices for substandard education while silencing criticism through students' dependence on the school's reputation.

Zed Shaw announces an upcoming series of daily posts exposing problems with coding bootcamps. While acknowledging bootcamps' goal of making coding education accessible, he argues most are exploitative, charging $15k while using his free materials and employing unqualified instructors. He describes receiving reports from students about abuse, sexual harassment, and false effectiveness claims, noting students are afraid to speak out for fear of damaging their careers. He pledges to separate criticism of schools from their students and offers to help bootcamp graduates find work.

Key Insight: Internet culture has constructed social norms that grant trolls more protection and social power than any creative class, mirroring the dynamics of real-world abusive relationships where victims are punished for fighting back.

Shaw examines how internet social norms protect trolls while punishing their victims, using a Guardian article about an author who tracked down her Goodreads troll as a launching point. He argues that the 'Don't Feed The Trolls' ethos mirrors classic abuser dynamics, giving trolls full license to harass while penalizing any response from victims. He then expands into a broader hierarchy of creative social status, ranking trolls at the top and nerds at the bottom based on what society lets each group get away with. Drawing from his own experience as someone who occupies multiple roles—troll of trolls, artist, author, musician, coder, and nerd—he illustrates how each identity carries different social privileges and penalties. The overall argument is that internet culture has created perverse incentive structures where the most destructive actors enjoy the most protection.

Key Insight: Learning to draw is a perceptual breakthrough that can happen at a specific, identifiable moment — and the cultural belief that some people simply aren't artistic is a damaging lie.

Zed Shaw recounts the exact day he learned to draw — March 10, 2013 — during an intensive drawing course based on Betty Edwards' 'Drawing on the Right Side of the Brain.' He describes bizarre euphoric giggling fits while doing blind contour drawings with his left hand, a sensation no one else he knew had experienced. During a five-day intensive class taught by Edwards' son Brian, Shaw felt a breakthrough on the third day while drawing piers in perspective at Fort Mason. The experience launched an obsession with visual art that led him to teach himself painting and drawing across multiple mediums over the following 19 months, defying the belief instilled in him as a child that nerds aren't creative.