According to Abacus Data’s new nationwide poll, millions of Canadians believe there is a plot to replace native-born Canadians with immigrants.
According to the data, 44% of Canadians believe “big events like wars, recessions and the outcomes of elections, are controlled by small groups of people working in secret against us.” According to Abacus, the survey sample represents the equivalent of 13 million Canadians.
Almost as many, or 41%, believe that “much of our lives are being controlled by plots hatched in secret places.”
The white replacement theory is held by more than one-third of Canadians. 37 percent of respondents, or 11 million Canadians, agreed with the statement: “There is a group of people in this country who are attempting to replace native-born Canadians with immigrants who agree with their political views.”
From May 20 to 24, Abacus surveyed 1,500 randomly selected, nationally representative Canadian adults as part of a series called “Trust & Facts: What Canadians Believe.” In addition, respondents were asked about specific conspiracy theories.
One in every five Canadians, or 20% of those polled, believe the World Economic Forum (WEF) is “a group of global elites with a secretive strategy to impose their ideas on the world.”
A further 13% believe that Microsoft founder Bill Gates is using microchips to track people and influence human behavior.
The survey also examined demographics and political preferences.
Of those who believe in the white replacement theory, 49% identified as being on the “right,” 41% as being on the “centre,” and 21% as being on the “left.”
32% of those who believed the WEF conspiracy theory was definitely or probably true are on the “right,” 20% are on the “center,” and 15% are on the “left.”
The survey also discovered a strong link between conspiracy theories and distrust of the media and government.
Among those who believed in the WEF conspiracy theory, 42% said they don’t trust the media, 36% said they don’t trust the government, and 51% said they didn’t have COVID shots.
A comparable probability-based random sample of the same size has a margin of error of +/- 2.53 percent 19 times out of 20.
The data were weighted based on census data to ensure that the sample was representative of Canada’s population in terms of age, gender, educational attainment, and region.