Analysis: The same people who did the phony election polls, and were s...

9y ago Jan 17, 2017 at 1:11 PM

The same people who did the phony election polls, and were so wrong, are now doing approval rating polls. They are rigged just like before.

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AI Analysis

Machine-generated analysis of the post above on 2026-03-11. Not written by the author of the post.

Danger Level

None

Narcissistic State

Grandiose

Authorship

Self-Written

Intensity

40%

Authorship Analysis

Self-Written

Indicators:

Early morning EST posting (8:11 AM)
No links or professional formatting
Emotionally reactive content
Informal punctuation and style

Psychological Profile

▶ State

Grandiose State

Trigger: Narcissistic Injury — Criticism (Approval rating polls showing unfavorable numbers)

Sentiment

-0.50

▶ Clinical

Malignant Narcissism:

Narcissistic

60%

Antisocial

30%

Paranoid

50%

Sadism

10%

Defense Mechanisms:

denialrationalizationprojection

Cognitive Complexity:

Complexity

30%

Parasocial Techniques:

shared grievance framingus-vs-them epistemic divide

Danger Assessment

None

Gaslighting Detected:

Attacks legitimacy of empirical measurement tools
Frames objective data as conspiratorial ('rigged')

Reality Distortions:

Equates pre-election polling error with deliberate rigging of approval polls
Implies polling organizations intentionally fabricate results

Fact Checks (3)

"The same people who did election polls are doing approval rating polls"

Mostly True

Major polling firms do conduct both election and approval polls, though the specific organizations vary.

"Election polls were phony/so wrong"

Half True

National polls were within normal error margins (Clinton won popular vote as predicted). State-level polls in key swing states underestimated Trump support, but this reflects methodology limitations, not rigging.

"Approval rating polls are rigged just like before"

False

No evidence of deliberate rigging. Polling methodology is transparent and peer-reviewed. Multiple independent organizations produce consistent results.

Receipts

No contradictions with other posts detected yet.

Psychological Analysis: Post x_821344302651555840

Context

Three days before inauguration (Jan 20, 2017). Trump was likely in New York (Trump Tower) preparing for transition. 13:11 UTC = 8:11 AM EST — early morning, consistent with authentic Trump tweeting patterns.

Content Analysis

Trump attacks polling organizations, linking pre-election polls (which underestimated his support) to current approval ratings showing unfavorable numbers. The logical structure: "they were wrong before → they're wrong now → therefore rigged." This is a preemptive delegitimization of metrics that could track his popularity.

Authorship

Early morning, informal style, emotionally reactive, no links or formatting — strongly suggests authentic Trump.

Psychological Dynamics

This is a classic narcissistic supply-maintenance post. Incoming approval ratings threatened his self-image as overwhelmingly popular. The defense is straightforward: discredit the measuring instrument rather than accept unfavorable data. The word "rigged" imports election-season framing to create continuity between a past grievance (polls underestimating him) and a current one.

Rhetorical Function

Establishes an epistemic framework where any unfavorable data is automatically suspect. This is early-stage reality distortion infrastructure — training the audience to dismiss empirical metrics.

Fact Verification

Claim	Verdict	Evidence
"The same people who did election polls are doing approval rating polls"	Mostly True	Major polling firms do conduct both election and approval polls, though the specific organizations vary.
"Election polls were phony/so wrong"	Half True	National polls were within normal error margins (Clinton won popular vote as predicted). State-level polls in key swing states underestimated Trump support, but this reflects methodology limitations, not rigging.
"Approval rating polls are rigged just like before"	False	No evidence of deliberate rigging. Polling methodology is transparent and peer-reviewed. Multiple independent organizations produce consistent results.

Overall Veracity: 43%