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Plugging Out

90 percent of the data that now exists in the world has been created in just the last two years. From now until 2020, the digital universe is expected to double every two years. (link)

We’re getting close to knowing everything, being one touch away from Google and Wolfram Alpha.  The future portends mass knowledge but learning ignorance.

Computers are also data mining everything about us based on our online behavior, creating a tool that accurately predicts what things we should do and eat next.  

Serendipity, wonder, uncertainty:  these are the things that make life exciting.  I don’t want to know 100% what I’m doing next.  Automation is anti-human.  

The next significant human movement should fight predictive technology, especially as the government follows our every move

Man, always an animal with brains, never a machine.    

If you're an artist, photographer, writer, etc., I highly recommend creating your own blog and publishing something new every day (read my post on how to set up a FREE blog on Wordpress).

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The Problem With Big Data

I know how many steps I take per day. But these get recorded on a pedometer, not an Internet connected device with algorithms on the back end. As a result, I don’t get push messages telling me how close or behind I am to reaching my goals. I just know some basics.

I love data. It allows us to make wise decisions about where, when, and how to move forward.

But I still believe data is really bad at predicting human emotion. Music, for example, is hard to recommend. There are special algorithms in Pandora that suggest new tracks in accordance to our tastes.

Based on my own experience, rarely does Pandora play something interesting and of good quality. Music, like books and movies, is not something you can predict with precision. Human Genome projects are great for recommendations and starting points but they try to plan too much. And it’s because we let them to, outsourcing responsibility.

The best part about the analog world is discovering something that aggregated data can’t predict. Discovery occurs through randomness as much as it does through suggested data. The data doesn’t know you’re open to completely new things; it’s going to keep feeding you the same stuff within that niche.

Machines that dictate our action dictate our behavior. Plugging out, being open, is just as important as being plugged in. The best recommendation engine may be yourself.

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courtenaybird: Did Twitter just predict Paul Ryan as Mitt Romney’s running mate? Update: Twitter was right. It’s a Romney-Ryan ticket. We hinted that we’d been tracking Republican VP Candidates with the screenshot accompanying the announcement of our new dashboard earlier this week. As you can clearly see from the updated dashboard below, Ryan started to pull away from the potential VP pack three days ago in terms of unique reach on Twitter. Of the pool of likely candidates, Ryan’s seen the greatest increase in reach over the past month, gaining a 65% increase in reach in the past 30 days. In addition, he’s seen the largest gains in both the number of total tweets and unique people talking about him recently.  (via TweetReach Blog) As I learned at SXSW this year, if you aggregate the wins in p-2-p matchups for consoles (e.g. FIFA & Madden) those scores are predictive of the winner in real life. The average margin of victory is also accurate. Wisdom of the crowds is the future of gambling.
courtenaybird: Did Twitter just predict Paul Ryan as Mitt Romney’s running mate? Update: Twitter was right. It’s a Romney-Ryan ticket. We hinted that we’d been tracking Republican VP Candidates with the screenshot accompanying the announcement of our new dashboard earlier this week. As you can clearly see from the updated dashboard below, Ryan started to pull away from the potential VP pack three days ago in terms of unique reach on Twitter. Of the pool of likely candidates, Ryan’s seen the greatest increase in reach over the past month, gaining a 65% increase in reach in the past 30 days. In addition, he’s seen the largest gains in both the number of total tweets and unique people talking about him recently.  (via TweetReach Blog) As I learned at SXSW this year, if you aggregate the wins in p-2-p matchups for consoles (e.g. FIFA & Madden) those scores are predictive of the winner in real life. The average margin of victory is also accurate. Wisdom of the crowds is the future of gambling.