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Author Archives: Gary Wolf
Announcing Quantified Self Week!
You are invited to learn and to share your knowledge!
What: QS Week – “Self-Knowledge Through Numbers”
When: Date To Be Announced Where: all over the world…. ;-)
What is QS Week?
This September, our Quantified Self community is coming together for a new experiment. Working together, we are going to create a world-wide, week long, open festival devoted to “self knowledge through numbers.” If you use or make self-tracking tools, or have knowledge or inspiration to share with a wider audience than you might find at a normal QS Show&Tell, I hope you will continue reading to learn how you can participate.
What will happen during QS Week?
For the last six months, Alex, Ernesto, and I have been hard at work trying to understand how to stage this festival this in the most simple, inclusive, and meaningful way. We are already quietly on track to put on dozens of separate events in the Bay Area and around the world during the days of the festival. (We will have a public announcement of the program when it is more complete.) QS Week is going to include: Demos of new self-tracking tools. Keynote talks and debates. Workshops on how to do meaningful tracking for health, sports & fitness, cognition, emotion, productivity, and play. Collaborative experiments. Self-tracking art and design.
How can I get on the program?
Let us know if you have a demo or a workshop to give, and/or a venue to offer. Our goal is to have an open, diverse program. If you have a tool to demo or a workshop you want to lead, fill out the short form below or at bit.ly/qsweek. We will follow up to discuss.
What is your editorial perspective? What are you looking for?
Much of the program will be “hand-crafted” by Alex, Ernesto, and me, in our normal style. However, since this event will be far bigger than anything we’ve ever tried, we have an open attitude about offers to participate. As always, our emphasis will be on the personal meaning of personal data – not on academic, managerial, or commercial data concerns. Our goal is to help people by creating a good context for collaborative discovery, guided by our three Prime Questions: What did you do? How did you do it? What did you learn?
Is there a deadline to propose something?
Please let us know as soon as you can. The earlier you propose, the easier it is for us to help you find your audience. The form is below.
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Quantified Self European Conference
After our amazing experience together last May at the first Quantified Self conference, some of the attendees who had come all the way from Holland asked for a European conference, so that some of the great contributors to the QS scene could participate more easily. Just six months later, that conference is happening. I’m amazed that we could get this going so quickly and with minimal hassle, and I take it as a tribute to the incredible energy in our community right now. We feel your enthusiasm, which comes to us undiluted from far away, and we hope to honor it and do it justice when we see you!
If you look at the conference program, you will see what I mean!
There are now more than 60 different talks and seminars scheduled over the two days of the conference; more than half of these are direct personal reports of advanced self-tracking projects. Early Saturday morning, as the sessions begin, Hind Hobeika, coming from Beirut, Lebanon, is going to show us her swimming goggles that measure heart rate. (That is Hind with her goggles in the photo above.) Late Sunday afternoon, Marcin Kowrygo, coming from Krakow, Poland, is going to tell us how he tracked his mind at night and figured out what methods work to induce lucid dreaming.
And in between, we are going to learn from people using an amazingly wide variety of commercial, laboratory, and home-made tools to understand themselves better. As always, we’ll be asking our three prime questions: What do you do? How do you do it? What did you learn?
During and after the conference we will try to post interesting links and references for those who want to follow along from a distance.
Our Three Prime Questions
We started Quantified Self as a casual meeting for users and makers of self-tracking tools. Now that our project has evolved into an active, international community, I’d like to offer a concise description of what it’s about. This will help if you are organizing a Quantified Self show&tell, giving a talk, or launching an independent project inspired by what we do.
THREE PRIME QUESTIONS
At the Quantified Self, we talk about our first hand experiences using self-tracking methods and tools. This approach is embodied in Three Prime Questions:
1. What did you do?
2. How did you do it?
3. What did you learn?
I’ve organized and hosted many QS Show&Tell meetings here in the Bay Area, so I can say from experience that the Prime Questions make the job easy. Once you commit to hearing personal stories of self-tracking, you no longer need to worry much about recruiting speakers. Let anybody share a self-tracking project, within the constraints of time and common sense. Slickness or charisma are unimportant. Every talk about actual practice has value because it lets us learn and think about one person’s approach. Since the goal is collaborative learning, rather than killing time through entertainment, a speaker who is struggling due to nervousness, confusion, or lack of preparation can be helped along by questions from the group.
We like scientific theories, demos of tools and apps, and philosophical speculation. But in the context of a Quantified Self Show&Tell they distract unless they are grounded in actual attempts at self-tracking and self-experiment. When theory or demonstrations are embedded in an account of personal experience, however, they work great. Tell us what you’ve done, how you did it, and what it means to you, before making the leap to speculative assertions or entrepreneurial self-praise. Your listeners will learn more, and everybody will have a better time.
We understand that some of you want to use the QS community mainly for collaborative work on your tools or to meet potential users. That’s why a typical QS Show&Tell meetup begins with an informal workshop and social hour, where open tables near electrical outlets let you demo anything you want. Where the demand for startup conversation is very high, we may also experiment with a separate MeetUp track for this. But we try to reserve our ongoing QS Show&Tell for reports of actual self-tracking projects and results.
In short, when you organize or present at a QS Show&Tell: Ask the Three Prime Questions!
What is The Quantified Self?
With our first Quantified Self conference coming up, many people are learning about the Quantified Self for the first time. (Welcome, newcomers!) Here, I’ll give some of the history of the Quantified Self, with a focus on why we’re organized the way we are, and some ideas about how you can get the most out of the various things we do. I’ll also describe what we’ve got planned with a focus on the upcoming conference. This is the first in a series: Later posts will take up specific conference themes, and many different people will be contributing. I’ll keep a close eye out, so so if there’s a question about QS that you’d like to ask, please add it to the comments and one of us will reply.
Kevin Kelly and I founded The Quantified Self in 2007. We had both been involved in the early years of Wired magazine: he was the founding executive editor; I was one of the early writers. (Later I became the executive editor of the online part of the company.) At Wired, it was exciting to be part of cultural and technological exploration.
In 2007 we began looking at some new practices that seemed, loosely, to belong together: life logging, personal genomics, location tracking, biometrics. These new tools were being developed for many different reasons, but all of them had something in common: they added a computational dimension to ordinary existence. Some of this was coming from “outside,” as marketers and planners tried to find new ways to understand and influence us. But some of it was coming from “inside” as our friends and acquaintances tried to learn new things about themselves. We saw a parallel to the way computers, originally developed to serve military and corporate requirements, became a tool of communication. Could something similar happen with personal data? We hoped so.
Some things about QS were thoughtfully considered, but the most important thing was serendipitous. One day Kevin issued an open invitation for people who shared our interests to come to what we called a “Show&Tell” at his studio. We created a Quantified Self group on MeetUp and did no other publicity. Thirty people came. Many had projects that were absolutely fascinating. The depth of knowledge and the intensity of curiosity was mind blowing. Suddenly we understood what we were doing in a new way. We were making a users group.
The most famous users group in Silicon Valley was the Homebrew Computer Club, whose members contributed so much to making the personal computer. Another important inspiration for us is the now mostly forgotten Berkeley Macintosh Users Group (BMUG), which welcomed and instructed so many newcomers after the release of the first Macs. Users groups, when they succeed, are wonderful things; informal but deeply engaged learning communities operating outside the normal channels of academic and commercial authority. Here at the Quantified Self, we want to know what these new tools of self-tracking are good for, and we want to create an environment where this question can be explored on a human level.
Anybody can start a MeetUp, and while we’ve outlined some recommended practices in a document called “How To Start Your Own QS Show&Tell,” we don’t tell local groups what to do. If you have an idea you’d like to try, please let us know. We’ll do what we can to help. One new things to look out for later in the year is an online users guide to self tracking, supported by the Robert Wood Johnson Foundation. We hope that this guide will broaden the exchange between the more technologically oriented QS participants and those who are discovering these practices for the first time.
Right now we are focused on the conference coming up, with much work going on behind the scenes. Our intention is to extend the culture of collaborative learning that has been happening at the local meetings. Aside from very brief plenary sessions in the morning, both days will be taken up by breakout sessions, organized by topic and led by volunteers who have experience tracking mood, sleep, attention, weight loss, memory, fitness; or hacking sensors, making data visualizations, and designing self-experiments. Nearly forty breakouts have been suggested so far. You will hear more about them soon.
Your questions and suggestions are always welcome. Come to the conference and bring your curiosity – I look forward to meeting you there.
WSJ on Ordering Your Own Lab Tests
This story from the Wall Street Journal describes the growing market for lab tests available directly to everybody, without a doctor visit. (The companies involved have a doctor on board, as a regulatory formality, but the doctor doesn’t do anything.) I’m interested in hearing from people who are regularly running their own lab tests! I’m going to start doing my own.
Worried About Cholesterol? Order Your Own Tests
By ANNA WILDE MATHEWSCheryl Lassiter likes to keep a close eye on her cholesterol levels, but with a high-deductible insurance plan, she doesn’t want to pay the fees for repeated checkups by her doctor. So a few times a year, she orders up a lab test herself, using an online service that charges about $40.
“You cut out the middleman,” says Ms. Lassiter, 56, a writer who lives in Hampton, N.H.
Most people get lab tests after a doctor recommends them during a visit. Now, a small but growing number of consumers are skipping the time and expense of seeing a physician and are ordering up their own tests, with heart-related assays among the most popular. For some, it’s a way to keep track of measures that they want to regularly monitor, such as cholesterol levels or the blood-sugar indicator known as hemoglobin A1C, which is important to people with diabetes. For others, a broad-based panel of tests may provide a quick snapshot of overall health, or a particular test could address worries about the presence of a possible condition such as hepatitis C.
Here are some lab tests that consumers can currently order online without a doctor visit:
• Lipid panel, which includes ‘good’ and ‘bad’ cholesterol, as well as triglycerides
• C-reactive protein, which has been linked to heart-attack risk
• Liver function, looking at measures such as the enzyme alanine aminotransferase, or ALT
• Vitamin D
• Hormone levels, including testosterone and estradiol, a form of estrogen[…]
Online testing services typically charge $30 to $50 for a full lipid panel, including cholesterol and triglycerides. A hemoglobin A1C test costs about $25 to $40.
Consumers wanting to get their own tests have a number of options. Online services contract with national networks of labs to perform a range of assays. For simple tests, such as cholesterol, there have long been quick-service sites in places such as drugstore clinics and health fairs. Consumers can purchase kits to do some basic tests themselves, including ones for cholesterol from companies including Polymer Technology Systems Inc., which sells a reusable lipid-testing device called CardioChek for $99, and First Check Diagnostics, a unit of Alere Inc., which sells for $13.99 the First Check Cholesterol Home Test, a single use kit that measures only total cholesterol. A few local labs will perform tests directly for consumers, but this is relatively rare, partly because of state restrictions.
QS Interview: Epilepsy’s Big Fat Miracle
Sam, age 9, is the son of my Wired colleague Fred Vogelstein and his wife Evelyn Nussenbaum. Last year, Fred published a remarkable story in the New York Times magazine, Epilepsy’s Big Fat Miracle, about how he and Evelyn treat Sam’s epilepsy with a high fat and nearly zero carbohydrate diet. In an average week, Fred wrote:
Sam consumes a quart and a third of heavy cream, nearly a stick and a half of butter, 13 teaspoons of coconut oil, 20 slices of bacon and 9 eggs.
This dietary treatment dropped the number of Sam’s seizures from more than a hundred a day to about 30; the addition of two drugs got them down to fewer than six.
Fred’s account is fascinating, please go read the whole thing. I called him soon afterward to ask him some questions about how exactly he tracks Sam’s diet so closely. A few days later I interviewed Evelyn. Keep in mind that Fred and Evelyn are not tracking only calories, but also the composition of the food Sam eats.
Fred gives a brief picture of how they do it in his story:
Evelyn, who gave up her career to take on the now full-time job of feeding Sam, plans meals on the kitchen computer using a Web-based program called KetoCalculator. It is hard to imagine how to administer keto without it. A meal for Sam might have eight ingredients. Mathematically, there are potentially millions of combinations — a bit more of this; a bit less of that — that gets you to a 400-¬calorie meal and a 3-to-1 ratio. KetoCalculator does the math. Every ingredient — butter, cream, bacon, oil, eggs, nuts and fruit — is weighed to the 10th of a gram on an electronic jeweler’s scale. When Evelyn comes up with a recipe that works, she hits “print” and files it in a black loose-leaf binder. We now have more than 200 recipes.
Why Wesabe failed: Marc Hedlund’s Challenge
At tomorrow night’s Bay Area Quantified Self Show&Tell, we are going to focus on transportation, consumption, and energy. Our meeting is in the incredible Autodesk design gallery at One Market Street, and there are some terrific talks planned. Some of the talks will be about tracking the things we buy, and in anticipation of this, I want to share the following excerpt from a recent post by a person I admire, Marc Hedlund of Wesabe, who discusses why Wesabe failed. Wesabe was the market leader in personal finance tracking before Mint launched. In his full post, which is well worth reading, Marc frankly discusses why his decisions led to an inferior user experience, which meant that it was Mint rather than Wesabe that grew and was eventually acquired by Intuit.
At the end of Marc’s piece, he challenges the notion that automatic tracking of financial data has made people smarter consumers – at least so far:
…But when we analyzed the benefits we saw for our users, and when
Mint boasted about the benefits they saw for their users, the
debt reduction and savings increase numbers directly matched the
national averages. Because our products existed during a deep
financial crisis, consumers everywhere cut back, saved more,
and tried to reduce their debt. Neither product had any significant
impact beyond what the overall economy led people to do anyways.So,
yeah. Changing people’s behavior is really hard. No one in this market
succeeded at doing so — there is no Google nor Amazon of personal
finance. Can you succeed where we failed? Please do — the problems are
absolutely huge and the help consumers have is absolutely abysmal. Learn
from the above and go help people (after making them immediately happy,
first).
I think Marc’s challenge is made directly to you, QS folks, and that is why I am passing it on.
Ethan Zuckerman: Tracking My Media Diet
Ethan Zuckerman, the co-founder of Global Voices and the writer of a wonderful blog called my heart’s in accra is doing an experiment, and is asking for advice and collaborators. The experiment is to track his “media diet.” The project is related to Ethan’s argument that we don’t have very reliable intuitions about the kind of media we consume.
I’ve made the case – in my recent TED talk
and elsewhere – that many of us overestimate the amount of diverse,
international information we encounter through the internet and other
communications networks. We run the danger of being “imaginary
cosmopolitans”, convinced we’re encountering information from all
corners of the world, while we might be trapped in homogenous echo
chambers.
One of the interesting, valuable things about this experiment is that Ethan has already had more experience than most people tracking media consumption. Now he is turning his attention to the problem of self tracking media. We will all learn from this.
Media diaries aren’t new – take an intro communications class at many
universities, and you’re likely to be asked to keep one. They tend to
be pretty superficial
- it requires some serious obsessiveness to log the individual stories
you encounter, rather than writing down “NPR – 7am – 7:20am. And the
process of keeping a diary tends to shape your behavior – for the month
Rachel and I were a Nielsen family (years back), we watched vastly more
public television than we do in an average month.It’s easier than ever to keep a diary with tools like Your Flowing Data,
a Twitter-based service that allows you to send direct messages via the
web or SMS. I just logged “d yfd listened WNNZ 0750 – 0830″, a syntax
that I hope will let me start collecting information on what media I
encounter offline, and who I interact with in the real world.But what I really want is data on the dozen or more stories I heard
on NPR during that morning drive – coding each in terms of subject and
geography would mean either logging while driving or writing a tool that
turns the name of a broadcast media source and an interval into a
stream of metadata.
If you have tried this yourself, please pipe up with suggestions. For more details about what Ethan is doing read the full post:
Media Tracking and the Quantified Self
Below is a wonderful TED talk by Ethan about how easy it is to make mistakes about the nature of the media we consume. His ideas about “imaginary cosmopolitanism” tell us something important about how errors in how we understand our own behavior may also blind us to important things going on the world.
Which is Better: Automated or Manual?
For many of us, the answer seems obvious: why do something manually when you can automate it? But when it comes to personal data, automation involves a trade-off. As Project HealthDesign‘s principal investigator Anind K. Dey points out in this blog post, automation suffers from the drawback of “out of sight, out of mind.” (Dey is referencing work by QS contributor Ian Li, especially his “Mobile Impact” project.)
The important point of Dey’s post is that if you don’t give any attention to collection, you may not integrate the data into your consciousness in a meaningful way. Manual collection, while more laborious, also provides opportunities for increased self-awareness.
The point of self-tracking is not the data, it’s the meaning; generating meaning is an activity of consciousness. There is a limit to the virtues of passivity.


















