The chairman of Google’s parent company offered to help Democratic presidential candidate Hillary Clinton build a file on each voter in the United States.
The data could be used door-to-door to help sell Clinton and even the Affordable Care Act, said Eric Schmidt, the chairman of Alphabet Inc.
“Key is the development of a single record for a voter that aggregates all that is known about them.”
The pitch was posted on WikiLeaks Monday morning. The email was forwarded to Clinton campaign Chairman John Podesta, whose Gmail account was hacked in March.
Schmidt’s involvement with Clinton is nothing new, but the detail to which he helped may bother voters who are concerned about their privacy and Google’s possible involvement in the campaign. Schmidt says that campaign volunteers would have access to “all” that is known about the voter to help the campaign sway a vote for Clinton.
In a memo to the Clinton team dated April 15, 2014, Schmidt advises building data on each voter, including ways to convince a person that Obamacare is working.
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“Key is the development of a single record for a voter that aggregates all that is known about them,” Schmidt wrote. “In 2016 smart phones will be used to identify, meet, and update profiles on the voter. A dynamic volunteer can easily speak with a voter and, with their email or other digital handle, get the voter videos and other answers to areas they care about (‘the benefits of ACA to you’ etc.).”
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Schmidt advised updating records on each voter “in real time,” as volunteers queried people at their doors.
“The scenario includes a volunteer on a walk list, encountering a potential voter, updating the records real time and deepening contact with the voter and the information we have to offer,” Schmidt wrote.
The tactic of updating voter records in a door-to-door effort is nothing new. The Republicans started such an effort after the 2012 election using a program named i360. But the GOP doesn’t have the Google CEO helping them.
In the memo, Schmidt says once data is completed, the Clinton campaign will know who to turn out on Election Day. Schmidt advises using “a score” to rank which voters they want to show up.
“For each voter, a score is computed ranking probability of the right vote,” Schmidt wrote. “Analytics can model demographics, social factors and many other attributes of the needed voters. Modeling will tell us what who we need to turn out and why, and studies of effectiveness will let us know what approaches work well. Machine intelligence across the data should identify the most important factors for turnout, and preference.”