Tag Archives: london

The State of Self Tracking (QS London Survey)

The excellent organizers of the London Quantified Self Show&Tell recently fielded a detailed survey about the self-tracking practices in their group. In the video below Ulrich Atz presents their findings.

Some of the interesting results from the survey:

  • 105 respondents (22 identified as female, 76 as male).
  • Over 500 unique tools were being used.
  • 47% of the respondents are currently measuring weight (17% have in the past).
  • Pen & paper is being used by 28% of respondents.
  • 90% of respondents who answered a question about data sharing would share their data (or share it for medical research).


The presentation is available online here (PDF) and an aggregate view of the survey results is also available for you to explore here. We’re excited to see and learn more from this interesting data set in the future.

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Adi Andrei on Hacking Your Subconscious Mind

Adi Andrei wanted to combine artificial intelligence, psychology, art, and storytelling for the purpose of self-discovery of the subconscious mind. In the video below, Adi explains why he’s focused on this, how to go about entering the subconscious, and what he’s learned about hacking it. (Filmed by the London QS Show&Tell meetup group.)

Hacking the Unconscious Mind from Ken Snyder on Vimeo.

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J. Paul Neeley on Puns

J. Paul Neeley has done experiments on optimizing happiness, self-control, and most recently, puns! His mom and brother are great punsters, so he decided to measure how many puns happened over Thanksgiving weekend with his family. In the video below, J. Paul explains this fun experiment, shares what he learned about the pattern of puns, and warns that punning can be contagious! (Filmed by the London QS Show&Tell meetup group.)

Quantifying Puns from Ken Snyder on Vimeo.

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Neil Bachelor on Quantifying Lifelong Learning

Neil Bachelor has been tracking his daily learning for the past two and a half years, with 3,200 discrete learning events. One of his motivations for this is to create a data-based CV that reflects his real work and learning habits. Neil uses Faviki to bookmark things he’s learned. In the video below, he describes his process, shows different visualizations of his learning, and explains the challenges he faces in managing so much data. (Filmed by the London QS Show&Tell meetup group.)

Lifelong Learning from Ken Snyder on Vimeo.

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Jules Goldberg on Quantified Snoring

Jules Goldberg is a snorer, and estimates that he has spent 1/8th of his life snoring. The noise was bothering his wife, so he built an app called SnoreLab to quantify his snoring (mild, loud, or epic?) and help him reduce it. In the video below, Jules shares how he identified where his snoring was coming from, remedies he tried, and which ones made it better and worse. (Filmed by the London QS Show&Tell meetup group.)

SnoreLab from Ken Snyder on Vimeo.

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Stuart Calimport on The Memome Project

Stuart Calimport is on a quest to find the most useful memes for health and well-being. He started the Human Memome Project, and spent a year and a half collecting all his ideas about health. He classified 5137 of these ideas as healthy/ethical/optimal and 6581 of them as unhealth/unethical/sub-optimal. In the video below, Stuart shares some examples of his memes, as well as his process for optimizing meme rate generation, and what he has learned about himself on this adventure. (Filmed by the London QS Show&Tell meetup group.)

The Memome Project from Ken Snyder on Vimeo.

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Ryota Kanai on Quantifying his Brain

Ryota Kanai does brain scans for a living. He can assess a person’s intelligence level, personality traits, and social proclivity from these scans. He even did a study correlating number of friends on Facebook with brain structure. In the video below, Ryota shows a 3-D scan of his brain, highlighted with colors to show where he has more or less brain than average. He also answers questions about changes in brain structure and how to get a brain scan on the cheap. (Filmed by the London QS Show&Tell meetup group.)

Quantify My Brain from Ken Snyder on Vimeo.

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Matt Dobson on Quantifying Emotions

Matt Dobson is working on automatic affect recognition, which basically means quantifying emotions beyond self-reporting. In the video below, Matt walks through the current technologies available to passively detect emotions, helpfully explaining things like galvanic skin response, heart rate variability, and speech tone. He also gives some hints as to where the future of emotion tracking lies. Matt, if you’re reading this, we’d love to hear what you have personally learned from tracking your own emotions! (Filmed by the London QS Show&Tell meetup group.)

Quantifying Emotions from Ken Snyder on Vimeo.

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London Meetup #13

The QS London meeting in October (#13) was full of interesting speakers and they’re now available in video form. You can find them all on the London Channel at:

London QS Channel

The October talks include (in the order presented):

  • Conference Roundup (Adriana Lukas). An Overview for Londoners of the QS Annual Conference.
  • SnoreLab (Jules Goldberg). Jules talks about his new iPhone app for tracking and (hopefully) taking control of snoring problems.
  • The Memome Project (Stuart Calimport). Stuart talks about his personal adventure in finding the most useful memes for health and wellbeing.
  • Quantify my Brain (Ryota Kanai). Professor Ryota discusses his experiments with brain imaging and how his brain compares to others.
  • Quantify my Emotions (Matt Dobson). Matt shares his knowledge about the quantification of emotions and shares some interesting current technologies as well as what he sees coming over the next few years.
It was a great day, I hope you enjoy these sessions as much as the folks who were there did.
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Ian Clements on Analyzing his Cancer Data

Ian Clements has been self-tracking since 1974 – mostly exercise, weight, and general health indicators. But in 2007 he was diagnosed with terminal cancer. This set off a more comprehensive mission of self-tracking to figure out which lifestyle changes and supplements were helping him to live longer. In the video below, Ian walks through his fascinating and detailed journey in data analysis land and shares the lessons he has learned. (Filmed by the London QS Show&Tell meetup group.)

Data Analysis from Ken Snyder on Vimeo.

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