David McCandless / Information is Beautiful — full legal readings
Loop: WebSearch → WebFetch → read full page → next. Searches began repeating FAQ, “good visualization” quartet, nuclear/HPV method essays, TED page, RSA video page. No pirate copies of Collins/HarperCollins books (Information is Beautiful, Knowledge is Beautiful, The Visual Miscellaneum).
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1. FAQ (methods, process, journalism stance)
- - URL: https://informationisbeautiful.net/faq/
- - Author: David McCandless (Reddit AMA answers hosted on IIB as FAQ)
- - Read in full: Yes
- - Principles:
- Start from incomplete understanding; research, assemble, verify until comprehension is rounded (data journalism).
- Naive questions help cover bases for broad audiences.
- ~80% data work / ~20% visual design; time split includes idea → research → clean → new questions → revise assumptions → shape story → fact-check → moodboard → sketch → design → polish.
- “You don’t design data when you visualise. You design your understanding of the data.”
- Transparency: share datasets; process/methodology as guard against misuse.
- Allow evidence to bend initial agendas (“gravity of the truth”).
- “Beauty” = aesthetic + clarity + data integrity + story + functional ease.
- Chartjunk critique depends on goal: engagement/creativity vs executive efficiency.
- Career advice: data science + journalism skills (story, questions, sense of what’s interesting).
2. Interesting, Easy, Beautiful, True?
- - URL: https://informationisbeautiful.net/2009/interesting-easy-beautiful-true/
- - Author: David McCandless
- - Read in full: Yes
- - Principles:
- Information needs to be interesting (meaningful/relevant) and have integrity (accuracy/consistency).
- Design needs form (beauty/structure) and function (works / easy to use).
- Two elements can be “tolerable”; missing the fourth of four tends to fail (e.g., beautiful but hard to use = useless; accurate and usable but dull = boring).
3. What Makes A Good Data Visualization?
- - URL: https://informationisbeautiful.net/visualizations/what-makes-a-good-data-visualization
- - Author: David McCandless
- - Read in full: Yes
- - Principles:
- Four necessary elements for a visualization that “works” (visualizes the Interesting/Easy/Beautiful/True lineage; includes story as a named element in later framing).
- Two elements → sketchy prototype (OK early); three without the fourth → strangely lacking (e.g., without story → boring; without function → useless).
- Backbone of his workshop process; presented as thinking aloud, not rigid dogma.
4. How I Learnt To Stop Worrying And Love The Bomb (Kinda)
- - URL: https://informationisbeautiful.net/2009/how-i-learnt-to-stop-worrying-and-love-the-bomb/
- - Author: David McCandless
- - Read in full: Yes
- - Principles:
- Absolute totals without context feel meaningless; reframe via relatability (destructive capacity).
- Initial clever framing can unravel when evidence contradicts the intended moral.
- Let the dataset change the mindset (here: nukes are not civilization-ending stockpile myth as imagined).
- Revise publicly when comments/data improve the diagram.
5. How Safe is the HPV vaccine?
- - URL: https://informationisbeautiful.net/2009/how-safe-is-the-hpv-vaccine/
- - Author: David McCandless
- - Read in full: Yes
- - Principles:
- Put alarming headlines in quantitative context; show sources and open data sheets.
- Update transparently when calculations or dosing assumptions are challenged.
- Present opposing-source claims (e.g., NVIC/VAERS) with caveats about voluntary reporting.
- Risk communication via comparative odds methods (National Safety Council framing noted).
6. Learn a concept-driven approach to data-visualisation (workshop note)
- - URL: https://informationisbeautiful.net/2021/learn-a-concept-driven-approach-to-data-visualisation/
- - Author: David McCandless / IIB
- - Read in full: Yes (short promotional essay)
- - Principles:
- Prefer an editorial/conceptual starting point over a pure data-first POV.
- Aimed at translating reports/research/messaging into graphics; bridging words↔design↔data.
7. TED Talk: The beauty of data visualization (official page + full English transcript)
- - Official talk page: https://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization
- - Transcript source read in full: Official TED English script as mirrored with bilingual presentation at https://digitalcast.jp/v/12191/ (English script section read end-to-end; TED.com transcript UI did not return body text via fetch).
- - Read in full: Yes (English talk text)
- - Principles stated in the talk:
- Information overload countered by visualizing patterns/connections and designing for sense, story, or focus (or at least “look cool”).
- Absolute reported billions are meaningless without relative visual context (Billion Dollar-o-Gram).
- Visualization as an “information map” / landscape to explore when lost in data.
- Hidden patterns emerge only when visualized (media panic timeline; Facebook break-ups).
- “Data is the new soil” (creative medium; viz as flowers)—prefer soil to oil metaphor.
- Visual bandwidth dominates senses; combine “language of the eye” with “language of the mind.”
- Absolute figures mislead; bring relative frames (e.g., military spend / GDP; troops / population)—“Let the dataset change your mindset” (Rosling).
- Visualization as knowledge compression; living images from curated, updateable data.
- Can visualize concepts/worldviews; design honesty forces holding conflicting perspectives.
- Information design = solving information problems (overload, trust, transparency, interest).
8. RSA event page: Knowledge is Beautiful
- - URL: https://thersa.org/video/events/2015/02/david-mccandless-on-knowledge-is-beautiful
- - Author: RSA hosting McCandless
- - Read in full: Yes (page text)
- - Principles (from page summary only):
- Visualized information helps comprehend, navigate, and find meaning under information overload.
- Extends approach from data/information toward denser “knowledge.”
- - Note: RSA posts video/audio under open access licence; no full written transcript was found on thersa.org. Not claimed as a full-text reading of the talk.
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About / site framing (skimmed via search + homepage)
- - Homepage: https://informationisbeautiful.net/ — independent collective turning data/information/knowledge into graphics, stories, performances, books. Not a long-form essay; not logged as a full method reading.
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Not obtained
- - Information is Beautiful / The Visual Miscellaneum (Collins / HarperCollins) — commercial book; not pirated.
- - Knowledge is Beautiful (Collins / HarperCollins) — commercial book; not pirated.
- - Full written RSA transcript of the 2014/2015 talk — not posted as text on the official RSA page.
- - Unofficial third-party transcript sites — not used as primary sources beyond confirming TED content already available via official TED script mirrors.