“This list, instead, tallies the kind of tracking an average person might encounter on an ordinary day in the United States. Each example has been sourced officially or from a major publication.” [The 24 ways we’re tracked on a regular basis.]
- Car movements — Every car since 2006 contains a chip that records your speed, braking, turns, mileage, accidents whenever you start your car.
- Highway traffic — Cameras on poles and sensors buried in highway record the location of cars by license plates and fast-track badges. Sev enty million plates are recorded each month.
- Ride-share taxis — Uber, Lyft, and other decentralized rides record your trips.
- Long-distance travel — Your travel itinerary for air flights and trains is recorded.
- Drone surveillance — Along U.S. borders, Predator drones monitor and record outdoor activities.
- Postal mail — The exterior of every piece of paper mail you send or receive is scanned and digitized.
- Utilities — Your power and water usage patterns are kept by utilities. (Garbage is not cataloged, yet.)
- Cell phone location and call logs — Where, when, and who you call (meta- data) is stored for months. Some phone carriers routinely store the contents of calls and messages for days to years.
- Civic cameras — Cameras record your activities 24/7 in most city down towns in the U.S.
- Commercial and private spaces — Today 68 percent of public employers, 59 percent of private employers, 98 percent of banks, 64 percent of public schools, and 16 percent of homeowners live or work under cameras.
- Smart home — Smart thermostats (like Nest) detect your presence and behavior patterns and transmit these to the cloud. Smart electrical outlets (like Belkin) monitor power consumption and usage times shared to the cloud.
- Home surveillance — Installed video cameras document your activity inside and outside the home, stored on cloud servers.
- Interactive devices — Your voice commands and messages from phones (Siri, Now, Cortana), consoles (Kinect), smart TVs, and ambient micro phones (Amazon Echo) are recorded and processed on the cloud.
- Grocery loyalty cards — Supermarkets track which items you purchase and when.
E- retailers — Retailers like Amazon track not only what you purchase, but what you look at and even think about buying. - IRS — Tracks your financial situation all your life.
- Credit cards — Of course, every purchase is tracked. Also mined deeply with sophisticated AI for patterns that reveal your personality, ethnic ity, idiosyncrasies, politics, and preferences.
- E-wallets and e-banks — Aggregators like Mint track your entire financial situation from loans, mortgages, and investments. Wallets like Square and PayPal track all purchases.
- Photo face recognition — Facebook and Google can identify (tag) you in pictures taken by others posted on the web. The location of pictures can identify your location history.
- Web activities — Web advertising cookies track your movements across the web. More than 80% of the top thousand sites employ web cookies that follow you wherever you go on the web. Through agree ments with ad networks, even sites you did not visit can get informa tion about your viewing history.
- Social media — Can identify family members, friends, and friends of friends. Can identify and track your former employers and your cur rent work mates. And how you spend your free time.
- Search browsers — By default Google saves every question you’ve ever asked forever.
- Streaming services — What movies (Netflix), music (Spotify), video (You Tube) you consume and when, and what you rate them. This includes cable companies; your watching history is recorded.
- Book reading — Public libraries record your borrowings for about a month. Amazon records book purchases forever. Kindle monitors your reading patterns on ebooks — where you are in the book, how long you take to read each page, where you stop.
“It is shockingly easy to imagine what power would accrue to any agency that could integrate all these streams. The fear of Big Brother stems directly from how technically easy it would be to stitch these together. At the moment, however, most of these streams are independent. Their bits are not integrated and correlated.”
“By day, Angie, a twenty-year veteran of the tech industry, is a data analyst at Tomo (think Facebook), the world’s largest social networking company; by night, she exploits her database access to profile domestic abusers and kill the worst of them. […] When Tomo introduces a deceptive new product that preys on users’ fears to drive up its own revenue, Angie sees Tomo for what it really is–another evil abuser. Using her coding and hacking expertise, she decides to destroy Tomo by building a new social network that is completely distributed, compartmentalized, and unstoppable. If she succeeds, it will be the end of all centralized power in the Internet.”