Dr. Robert Epstein, a psychologist and search engine expert from the American Institute for Behavioral Research and Technology (AIBRT), says that, after analyzing Google searches associated with three hotly-contested congressional races in Southern California – all of which were won by Democrats – bias was abundantly evident.
In the days leading up to the 2018 midterms back in November, Epstein was able to capture more than 47,000 election-related search results from not only Google, but also Bing and Yahoo, along with 400,000 web pages linked to these search results. Compared to all of the other search engines, Epstein found, Google had "a clear pro-Democrat bias," Breitbart News reports.
"Users performing Google searchers related to the three congressional races the study focused on were significantly more likely to see pro-Democrat stories and links at the top of their results," Allum Bokhari writes.
Back in the fall, we reported about related research pertaining to the 2016 presidential election, during which Google similarly altered search results in favor of failed presidential candidate and longtime Democrat Hillary Clinton.
Epstein has been studying this phenomenon for quite a while now, and has actually come up with a name for it: the Search Engine Manipulation Effect, or SEME. In essence, Google has been steering users of its search engine to support Leftist Democratic candidates, which in turn has swayed many undecided folks and independents towards Deep State candidates like Hillary Clinton.
According to Epstein's latest research, at least 35,455 undecided voters in the three Southern California districts he looked at were likely persuaded to vote for Democratic candidates based on Google's "slanted" search results.
"Considering that each vote gained by a Democrat is potentially a vote lost by a Republican, this means more than 70,910 votes may have been lost by Republicans in the three districts due to Google bias," Bokhari adds. "In one of these districts, CA 45, the Democrat margin of victory was just over 12,000 votes."
If Epstein's extrapolated figures are correct, as many as 4.6 million Americans all across the country may have voted for Hillary Clinton as opposed to Donald Trump, thanks to the influence of search result bias from Google.
This would more than close the gap of the popular vote that Leftists insist was won by Hillary Clinton as opposed to Donald Trump – meaning Trump likely would have won both the popular vote and the vote of the Electoral College.
It's important to also keep in mind that Epstein's assumptions are conservatively modest, meaning the disparate influence of Google could potentially be much higher than his figures suggest.
"According to Epstein, marketing research shows that people typically conduct 4-5 searches per day, not one per week," Bokhari explains. "In other words, the true impact of biased search results could be much higher."
In case you're curious, Epstein is not a Republican, nor did he vote for Donald Trump for president. He actually publicly endorsed Hillary Clinton, though he cares more about uncovering the truth than with propagating support for the corrupt politics of Big Tech, which include active voter fraud.
For more related news about Big Tech's assault on honesty and free speech, be sure to check out Corruption.news.
Sources for this article include: