# Post x_667454484172312580

- Post ID: `x_667454484172312580`
- Platform: X (Twitter)
- Posted: 2015-11-19T21:28:44.000Z (UTC)
- Deleted: no
- Repost: no
- Canonical URL: https://trump.fm/post/x_667454484172312580
- Analysis page: https://trump.fm/post/x_667454484172312580/analysis
- Audio narration: https://static.trump.fm/audio/x_667454484172312580.mp3 (a synthesized voice reading the post text, not a recording)

## Post text

> Thank you Worcester, Massachusetts!#MakeAmericaGreatAgain #Trump2016 https://t.co/D6QinyBLW6 https://t.co/sZDJr3Tkd8

## Engagement

- Likes: 2,790
- Reposts: 1,144
- Replies: 0
- Views: unknown
- Metrics collected: 2026-01-31T23:43:13.340Z (UTC)

# Analysis

_Machine-generated by trump.fm on 2026-03-08T08:22:22.782Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._

## Analysis: Campaign Rally Thank-You Post (Worcester, MA)

A routine, low-content post thanking a rally audience in Worcester, Massachusetts. This is a standard campaign event acknowledgment with hashtags and media links. The post is virtually identical in structure to the earlier "Thank you for your support!" post from the same day, suggesting a templated approach to rally-day social media.

### Authorship
Posted at 4:28 PM ET (Trump was campaigning in New England). Business-hours timing, polished formatting, standard hashtag usage, and lack of any personal voice strongly suggest aide authorship — likely a social media staffer posting event content in real time.

### Psychological Significance
Minimal. This is maintenance-level supply-seeking — routine audience engagement reinforcing the campaign brand. No emotional reactivity, no targets, no grievances. The post functions as narcissistic supply infrastructure (rallies as admiration delivery systems) but reveals little beyond that.

### Context
The same day featured substantively richer posts about Syrian refugees, the Paris attacks, and Obamacare. This post is filler content between those more psychologically revealing communications.

## Authorship Analysis

**Aide-Written** (score: 10%)

### Indicators

- Business hours posting (4:28 PM ET)
- Polished formatting with proper hashtags
- No typos or emotional reactivity
- Templated structure matching earlier same-day post
- Standard campaign event acknowledgment

## Psychological Profile

### State

**Grandiose State**

**Trigger:** Supply Seeking (rally audience)

Sentiment: +0.50

### Clinical

**Malignant Narcissism:**
- Narcissistic: 20%
- Antisocial: 0%
- Paranoid: 0%
- Sadism: 0%

**Cognitive Complexity:**
- Complexity: 10%

**Parasocial Techniques:**
- direct address thanking audience

## Tags

- campaign_rally (100%)
- supply_seeking (30%)

## That day

_From trump.fm's machine-generated digest of the day, not his words._

**Prophet of Fear: Paris Tragedy Becomes Personal Vindication as Trump Instrumentalizes Terror for Border Policy**

On November 19, 2015—six days after the Paris attacks killed 130 people and on the same day Trump's Muslim database comments sparked national controversy—the subject's social media output reveals a uniformly grandiose psychological state organized around a single core narrative: "I told you so." Across 11 posts spanning from 11:53 PM ET the previous night to 4:34 PM ET, Trump processes the deadliest terrorist attack on French soil, a humanitarian refugee crisis, and rising Obamacare premiums through an identical narcissistic lens: each event exists solely as proof of his prophetic insight. The complete absence of empathic content regarding Paris victims—even as he praises Paris police—suggests empathy is deployed instrumentally rather than authentically.

The day's most psychologically and socially significant pattern is the systematic association of Syrian refugees with ISIS terrorism, repeated in near-duplicate posts broadcast at different times for maximum reach (posts x_667329429912338432 at 8:11 AM ET and x_667329429912338400 at 1:11 PM ET). The speculative "ISIS maybe?" formulation is a textbook fear-amplification technique: it plants the terrorism-refugee association while the question mark provides rhetorical deniability. Combined with the same day's Muslim database controversy and the logical non-sequitur of connecting European-executed Paris attacks to US-Mexico border security, the day represents a coherent strategic effort to convert collective grief and fear into exclusionary policy momentum. Three of eleven posts earned elevated danger ratings—not for direct incitement, but for the cumulative ethnic scapegoating effect during a period of acute national anxiety.

Cognitively, the day shows no signs of deterioration or disorganization. Post frequency is moderate, sleep appears adequate, and the messaging—while factually distorted—is rhetorically disciplined. The near-duplicate posts suggest deliberate strategic amplification rather than cognitive repetition. The authorship scores vary widely (0.10 to 0.85), indicating a mix of personal composition and staff-assisted posting, with the highest-authorship posts being the most psychologically charged immigration content.

Full digest for 2015-11-19: https://trump.fm/date/2015-11-19/analysis

## Citation

- APA: Trump, D. J. (2015, November 19). Thank you Worcester, Massachusetts!#MakeAmericaGre... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_667454484172312580
- MLA: Trump, Donald J. "Thank you Worcester, Massachusetts!#MakeAmericaGreatAgain..." X (Twitter), 19 Nov. 2015. trump.fm, https://trump.fm/post/x_667454484172312580. Accessed 9 Oct. 2026.
- Chicago: Donald J. Trump, "Thank you Worcester, Massachusetts!#MakeAmericaGreatAgain...," X (Twitter), November 19, 2015, archived at trump.fm, https://trump.fm/post/x_667454484172312580.

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- API specification: https://trump.fm/openapi.json
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- This post as JSON: https://trump.fm/api/posts/x_667454484172312580
- Analysis as JSON: https://trump.fm/api/analysis/x_667454484172312580
- All citation formats: https://trump.fm/api/cite/x_667454484172312580
- Same day: https://trump.fm/date/2015-11-19
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