- Hands on Learning (HuffPo) — Unfortunately, engaged and enlightened tinkering is disappearing from contemporary American childhood. (via BoingBoing)
- Dark Patterns (Slideshare) — User interfaces to trick people. (via Beta Knowledge)
- Bill Gates is Naive: Data Are Not Objective (Math Babe) — examples at the end of biased models/data should be on the wall of everyone analyzing data. (via Karl Fisch)
ENTRIES TAGGED "statistics"
Enlightened Tinkering, In-Browser Tor Proxy, Dark Patterns, and Subjective Data
SSH/L Multiplexer, GitHub Bots, Test Your Assumptions, and Tech Trends
- sslh — ssh/ssl multiplexer.
- Github Says No to Bots (Wired) — what’s interesting is that bots augmenting photos is awesome in Flickr: take a photo of the sky and you’ll find your photo annotated with stars and whatnot. What can GitHub learn from Flickr?
- Four Assumptions of Multiple Regression That Researchers Should Always Test — “but I found the answer I wanted! What do you mean, it might be wrong?!”
- Tenth Grade Tech Trends (Medium) — if you want to know what will have mass success, talk to early adopters in the mass market. We alpha geeks aren’t that any more.
Faking with Stats, Praising Coworkers, Medium Explained, and SIGGraph Trailer
- Statistical Misdirection Master Class — examples from Fox News. The further through the list you go, the more horrifying^Wedifying they are. Some are clearly classics from the literature, but some are (as far as I can tell) newly developed graphical “persuasion” techniques.
- Wall of Awesome — give your coworkers some love.
- Dave Winer on Medium — Dave hits some interesting points: Users can create new buckets or collections and call them anything they want. A bucket is analogous to a blog post. Then other people can post to it. That’s like a comment. But it doesn’t look like a comment. It’s got a place for a big image at the top. It looks much prettier than a comment, and much bigger. Looks are important here.
- SIGGraph Asia Trailer (YouTube) — resuiting Sims and rotating city blocks, at the end, were my favourite. (via Andy Baio)
- An Intuitive Guide to Linear Algebra — Here’s the linear algebra introduction I wish I had. I wish I’d had it, too. (via Hacker News)
- Think Bayes — an introduction to Bayesian statistics using computational methods.
- Divshot — a startup turning mockups into web apps, built on top of the Bootstrap front-end framework. I feel momentum and a tipping point approaching, where building things on the web is about to get easier again (the way it did with Ruby on Rails). cf Jetstrap.
ID-based Democracy, Web Documentation, American Telco Gouging, and Stats Cookbook
- Finland Crowdsourcing New Laws (GigaOm) — online referenda. The Finnish government enabled something called a “citizens’ initiative”, through which registered voters can come up with new laws – if they can get 50,000 of their fellow citizens to back them up within six months, then the Eduskunta (the Finnish parliament) is forced to vote on the proposal. Now this crowdsourced law-making system is about to go online through a platform called the Open Ministry. Petitions and online voting are notoriously prone to fraud, so it will be interesting to see how well the online identity system behind this holds up.
- WebPlatform — wiki of information about developing for the open web. Joint production of many of the $BIGCOs of the web and the W3C, so will be interesting to see, as it develops, whether it has the best aspects of each or the worst.
- Why Your Phone, Cable, Internet Bills Cost So Much (Yahoo) — “The companies essentially have a business model that is antithetical to economic growth,” he says. “Profits go up if they can provide slow Internet at super high prices.” Excellent piece!
- Probability and Statistics Cookbook (Matthias Vallentin) — The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations. CC-BY-NC-SA licensed, LaTeX source on github.
The UDID story has conflicting theories, so the only real thing we have to work with is the data.
Reading Minds, Satellites in the Cloud, Units for Risk, and Valuing Autism
- Reconstructing Visual Experiences (PDF) — early visual areas represent the information in movies. To demonstrate the power of our approach, we also constructed a Bayesian decoder by combining estimated encoding models with a sampled natural movie prior. The decoder provides remarkable reconstructions of the viewed movies. These results demonstrate that dynamic brain activity measured under naturalistic conditions can be decoded using current fMRI technology.
- Earth Engine — satellite imagery and API for coding against it, to do things like detecting deforestation, classifying land cover, estimating forest biomass and carbon, and mapping the world’s roadless areas.
- Microlives — 30m of your life expectancy. Here are some things that would, on average, cost a 30-year-old man 1 microlife: Smoking 2 cigarettes; Drinking 7 units of alcohol (eg 2 pints of strong beer); Each day of being 5 Kg overweight. A chest X-ray will set a middle-aged person back around 2 microlives, while a whole body CT-scan would weigh in at around 180 microlives.
- Autistics Need Opportunities More Than Treatment — Laurent gave a powerful talk at Sci Foo: if the autistic brain is better at pattern matching, find jobs where that’s useful. Like, say, science. The autistic woman who was delivering mail became a research assistant in his lab, now has papers galore to her name for original research.
Creative Business, News Design, Google Earth Glitches, and Data Distortion
- Patton Oswalt’s Letters to Both Sides — You guys need to stop thinking like gatekeepers. You need to do it for the sake of your own survival. Because all of us comedians after watching Louis CK revolutionize sitcoms and comedy recordings and live tours. And listening to “WTF With Marc Maron” and “Comedy Bang! Bang!” and watching the growth of the UCB Theatre on two coasts and seeing careers being made on Twitter and Youtube. Our careers don’t hinge on somebody in a plush office deciding to aim a little luck in our direction. (via Jim Stogdill)
- Headliner — interesting Guardian experiment with headlines and presentation. As always, reading the BERG designers’ notes are just as interesting as the product itself. E.g., how they used computer vision to find faces and zoom in on them to make articles more attractive to browsing readers.
- Google Earth Glitches — where 3d maps and aerial imagery don’t match up. (via Beta Knowledge)
- Campbell’s Law — The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor. (via New York Times)
Flipping the Medical Classroom, Inclusion Haters, Information Leveling, and Ars Longa Vita Brevis
- Stanford Med School Contemplates Flipped Classroom — the real challenge isn’t sending kids home with videos to watch, it’s using tools like OceanBrowser to keep on top of what they’re doing. Few profs at universities have cared whether students learned or not.
- Inclusive Tech Companies Win The Talent War (Gina Trapani) — she speaks the truth, and gently. The original CNN story flushed out an incredible number of vitriolic commenters apparently lacking the gene for irony.
- Buyers and Sellers Guide to Web Design and Development Firms (Lance Wiggs) — great idea, particularly “how to be a good client”. There are plenty of dodgy web shops, but more projects fail because of the clients than many would like to admit.
- What Does It Mean to Say That Something Causes 16% of Cancers? (Discover Magazine) — hey, all you infographic jockeys with your aspirations to add Data Scientist to your business card: read this and realize how hard it is to make sense of a lot of numbers and then communicate that sense. Data Science isn’t about Hadoop any more than Accounting is about columns. Both try to tell a story (the original meaning of your company’s “accounts”) and what counts is the informed, disciplined, honest effort of knowing that your story is honest.