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Jessica Tarlov Defends El-Sayed in Front of Gutfeld and Watters. Big Mistake!

Jessica Tarlov Defends El-Sayed in Front of Gutfeld and Watters. Big Mistake!

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We got another humiliating segment for Jessica Tarlov on The Five this week. And it was quite a sight! The Fox News co-host, who is Jewish, rushed to the defense of Abdul El-Sayed, the socialist antisemite running as the Democrat Party's Senate candidate in Michigan. Her case was so moronic that co-hosts Greg Gutfeld and Jesse Watters could barely believe it, and the more she talked, the worse it got.

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Record

Original publisherPJ Media
Canonical URLhttps://pjmedia.com/matt-margolis/2026/10/17/jessica-tarlov-defends-el-sayed-in-front-of-gutfeld-and-watters-big-mistake-n4958417
Publication timeSat, 17 Oct 2026 14:16:00 -0400
Retrieval time2026-10-17T18:37:38.093Z
Last seen2026-10-17T18:37:38.093Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher description
Excerpt methodPublisher-supplied description / RSS summary field.
SummaryNone yet
Summary source textdescription
Citation coverageNo WeSearch summary has been generated for this story yet.
ClusterlAc51N6JPa0N · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
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Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

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