# Post x_947536951464333318

- Post ID: `x_947536951464333318`
- Platform: X (Twitter)
- Posted: 2017-12-31T18:36:28.000Z (UTC)
- Deleted: no
- Repost: no
- Canonical URL: https://trump.fm/post/x_947536951464333318
- Analysis page: https://trump.fm/post/x_947536951464333318/analysis
- Audio narration: https://static.trump.fm/audio/x_947536951464333318.mp3 (a synthesized voice reading the post text, not a recording)

## Post text

> My deepest condolences to the victims of the terrible shooting in Douglas County @DCSheriff, and their families. We love our police and law enforcement - God Bless them all! #LESM

## Engagement

- Likes: 75,704
- Reposts: 16,989
- Replies: 0
- Views: unknown
- Metrics collected: 2026-01-31T23:43:13.383Z (UTC)

# Analysis

_Machine-generated by trump.fm on 2026-03-13T20:09:01.467Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._

## Psychological Analysis: x_947536951464333318

**Date:** 2017-12-31 | **Platform:** Twitter/X | **Age:** 71

---

### Authorship Attribution: Aide-Written (High Confidence)

At 13:36 EST (Mar-a-Lago, Eastern Time), this post falls squarely within business hours. Compared to the same day's authentic Trump posts — which feature raw misspellings ("a pure fiction!"), combative superlatives, and first-person boasting about stock gains — this post is stylistically alien. It follows a strict communications-office template: condolence → affirmation → religious blessing → hashtag. No stream-of-consciousness, no ALL CAPS, no enemies. Attributed to Scavino or comms staff with high confidence.

---

### Psychological State: Clinically Unremarkable

The post does not reflect Trump's psychological state so much as his office's media management. There is no narcissistic trigger, no rage signal, no devaluation. The collective "We love our police" is a depersonalization move characteristic of staff-drafted content that appropriates presidential voice.

---

### Rhetorical Function

Pure constituency maintenance targeting the law enforcement community. The #LESM hashtag indicates deliberate community micro-targeting. "God Bless them all" deploys religious framing as a bonding mechanism with a conservative, religiously-identified base.

---

### Longitudinal Note

The tonal discontinuity with same-day authentic posts is diagnostically useful: it provides a clear contrast baseline illustrating the difference between authentic Trump output (grievance-laden, combative, typographic errors) and managed output (smooth, templated, communal). This gap itself is data.

---

### Summary

*Not clinically significant. Post is aide-authored constituency maintenance with no observable authentic psychological content from the subject.*

## Fact Verification

| Claim | Verdict | Evidence |
|-------|---------|----------|
| "Terrible shooting in Douglas County involving @DCSheriff" | **Unverifiable** | A shooting involving Douglas County Sheriff's personnel is referenced but not present in the pre-researched events list for this date. Cannot confirm specifics from available context. |
| "#LESM hashtag usage" | **True** | LESM (Law Enforcement Saves Many) is a documented pro-law-enforcement social media hashtag community used widely in conservative and law enforcement circles. |

Overall Veracity: 75%

## Authorship Analysis

**Aide-Written** (score: 15%)

### Indicators

- Posted at 13:36 EST (business hours, Mar-a-Lago locale)
- Polished complete sentences, no typos
- Formal condolence structure (sympathy → affirmation → blessing → hashtag)
- Absence of ALL CAPS, superlatives, or personal grievances
- No first-person boasting or political attack

## Psychological Profile

### State

**Grandiose State**

**Trigger:** Maintenance (law enforcement constituency)

Sentiment: +0.55

### Clinical

**Malignant Narcissism:**
- Narcissistic: 10%
- Antisocial: 0%
- Paranoid: 0%
- Sadism: 0%

**Cognitive Complexity:**
- Complexity: 40%

**Parasocial Techniques:**
- collective identification ('We love our police')
- religious benediction as bonding signal

## Fact Checks (2)

_The model's verdicts from 2026-03-13._

> Terrible shooting in Douglas County involving @DCSheriff

**UNVERIFIABLE**

A shooting involving Douglas County Sheriff's personnel is referenced but not present in the pre-researched events list for this date. Cannot confirm specifics from available context.

> #LESM hashtag usage

**TRUE**

LESM (Law Enforcement Saves Many) is a documented pro-law-enforcement social media hashtag community used widely in conservative and law enforcement circles.

Overall Veracity: 75%

## Tags

- aide-authored (90%)
- law-enforcement-constituency (80%)
- condolence-template (80%)
- religious-framing (60%)
- maintenance-post (70%)

## That day

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

**New Year's Eve Victory Lap: Trump Closes 2017 in Sustained Grandiose Mode**

Trump spent New Year's Eve at Mar-a-Lago running a sustained victory lap over his first year in office. After a brief late-night grievance about "Fake News," the day was dominated by economic boasting, credit-claiming, and campaign-style messaging aimed at the 2018 midterms. He weighed in twice on the spreading Iranian protests, positioning himself as a champion of the demonstrators while offering no concrete commitments. The mood was overwhelmingly self-congratulatory, with no real escalation and only a faint undercurrent of defensiveness.

Full digest for 2017-12-31: https://trump.fm/date/2017-12-31/analysis

## Citation

- APA: Trump, D. J. (2017, December 31). My deepest condolences to the victims of the... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_947536951464333318
- MLA: Trump, Donald J. "My deepest condolences to the victims of the terrible..." X (Twitter), 31 Dec. 2017. trump.fm, https://trump.fm/post/x_947536951464333318. Accessed 13 Oct. 2026.
- Chicago: Donald J. Trump, "My deepest condolences to the victims of the terrible...," X (Twitter), December 31, 2017, archived at trump.fm, https://trump.fm/post/x_947536951464333318.

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- Analysis as JSON: https://trump.fm/api/analysis/x_947536951464333318
- All citation formats: https://trump.fm/api/cite/x_947536951464333318
- Same day: https://trump.fm/date/2017-12-31
- The record alone, without the analysis: https://trump.fm/post/x_947536951464333318.md?analysis=false

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