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and find they make up 20% of San Francisco's traffic
  • The study used hundreds of fake accounts and a unique compute
  • They found the cars account for a whopping 20 percent of local daily traffic in SF
  • City officials say they are 'dying to get their hands' on this information
While Ubers and Lyfts seem to be everywhere in both urban and suburban areas around the world, no one has known just how many are out there - until now.

Two researches at the College of Computer and Information Science at Northeastern University in Boston, Massachusetts created hundreds of fake Uber and Lyft accounts along with a unique computer program to uncover data on the number of drivers.
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They discovered that, between the two companies, more than 5,700 rideshare vehicles operate in the city on a typical weekday.


http://www.dailymail.co.uk/sciencet...chers-FINALLY-uncover-number-Ubers-Lyfts.html
 

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Please tell the public how many homeless and how many undocumented in the city of SF. Tell the public how ignorant and stupid your officials who cannot deal with the problems. Please tell the public. Thank you ahead.
 

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Since a large number of those cars are on both apps, this number is probably completely wrong. But that is the news for you.
It's not "the news". It's :Two researches at the College of Computer and Information Science at Northeastern University in Boston, Massachusetts. They did an experiment and "the news" is simply telling you about it. What are u basing yr critique of their study on?
 

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It's not "the news". It's :Two researches at the College of Computer and Information Science at Northeastern University in Boston, Massachusetts. They did an experiment and "the news" is simply telling you about it. What are u basing yr critique of their study on?
Daily Mail .com is not two researchers. I am not critiquing the study, I am critiquing the headline. The article says nothing about how they accounted for one car showing on both apps. It also says nothing about how they account for the cars that are on neither app, but waiting for surge to jump on. The study is probably valid in what they found, the headline makes a claim not backed up in the article.
 
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