# Post x_999278498182258688

- Post ID: `x_999278498182258688`
- Platform: X (Twitter)
- Posted: 2018-05-23T13:18:54.000Z (UTC)
- Deleted: no
- Repost: no
- Canonical URL: https://trump.fm/post/x_999278498182258688
- Analysis page: https://trump.fm/post/x_999278498182258688/analysis
- Audio narration: https://static.trump.fm/audio/x_999278498182258688.mp3 (a synthesized voice reading the post text, not a recording)

## Post text

> There will be big news coming soon for our great American Autoworkers. After many decades of losing your jobs to other countries, you have waited long enough!

## Engagement

- Likes: 87,991
- Reposts: 19,136
- Replies: 0
- Views: unknown
- Metrics collected: 2026-01-31T23:43:13.402Z (UTC)

# Analysis

_Machine-generated by trump.fm on 2026-03-14T23:38:33.466Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._

# Analysis: Post x_999278498182258688 — May 23, 2018

## Authorship Attribution
**Assessment: Aide-written (high confidence)**

Posted at 9:18 AM Eastern Time (Washington D.C., UTC-4) — squarely within business hours. The post is grammatically clean, structurally disciplined, free of typos, and carries none of the reactive emotional texture evident in the same-day SPYGATE tweets (posted in rapid succession with ALL CAPS, quote-tweets, and reactive indignation). This is characteristic of Scavino or communications staff drafting populist messaging on Trump's behalf. The vocabulary ("great American Autoworkers") mirrors Trump's rhetorical brand while exhibiting the polish of institutional messaging.

## Personality — Multi-Level Analysis

**Level 1 (Traits):** Extraversion is dominant — assertive, energized, forward-leaning. Agreeableness is selectively deployed toward in-group (autoworkers) with implicit derogation of out-group (foreign competitors). Conscientiousness facet of achievement-striving is salient.

**Level 2 (Characteristic Adaptations):** Dominant motive is agency — specifically power through the role of deliverer. The post constructs a simple cause-effect narrative: foreign countries took jobs, Trump will get them back.

**Level 3 (Narrative Identity):** Clear redemption arc — "many decades of losing" sets up the contamination backstory, while the implicit promise of "big news" launches the redemption. The protagonist role is *Savior/Champion*. The contrasting other is unnamed foreign nations (diffuse scapegoating). The identity claim is: "I am the one who finally acts where others failed."

## Clinical Indicators

No clinically significant markers are present. The grandiosity is mild and formulaic — consistent with political messaging rather than acute narcissistic dynamics. No paranoid, antisocial, or sadistic features are detectable. No cognitive markers warrant flagging.

## Rhetorical Analysis

The post deploys three interlocking rhetorical moves: (1) validation of constituency suffering, (2) attribution of suffering to foreign agency, and (3) vague but charged anticipatory promise. "You have waited long enough" is the emotional apex — it validates grievance, assigns blame to prior inaction, and positions the speaker as the threshold moment in history. The deliberate vagueness of "big news" is a loyalty-binding device, not information delivery.

This likely anticipates auto tariff announcements or NAFTA/USMCA renegotiation developments, consistent with the trade policy context of May 2018.

## Fact Verification

| Claim | Verdict | Evidence |
|-------|---------|----------|
| "American autoworkers have been losing jobs to other countries for many decades" | **Half True** | Manufacturing employment in the U.S. declined substantially from the 1970s onward. Trade competition (particularly from Japan in the 1980s and China after 2001 WTO accession) was a documented contributing factor. However, economic consensus (Autor, Dorn & Hanson 2013; Acemoglu et al. 2020) attributes the majority of manufacturing job displacement to automation rather than trade. The post's framing attributes losses exclusively to foreign countries, omitting the primary driver. |
| "Big news is coming soon for American autoworkers" | **Unverifiable** | Vague forward-looking claim with no specific content. In the May 2018 context, this likely refers to imminent tariff announcements (Section 232 auto tariffs were under consideration) or NAFTA renegotiation developments (which would eventually produce USMCA). No specific verifiable claim is made. |

Overall Veracity: 50%

## Danger Assessment
**None.** No eliminationist language, no dehumanization, no stochastic terrorism indicators.

## Authorship Analysis

**Aide-Written** (score: 25%)

### Indicators

- Post time is 9:18 AM Eastern (UTC-4, Washington D.C. — Trump's base location in May 2018), firmly within business hours
- Grammatically clean, no typos or misspellings
- No ALL CAPS passages, no emotional outbursts
- Teaser/announcement structure is characteristic of aide-drafted content
- Polished populist framing ('great American Autoworkers') reads as a crafted message, not stream-of-consciousness

## Psychological Profile

### State

**Grandiose State**

**Trigger:** Maintenance (Base audience — Rust Belt working class constituency)

Sentiment: +0.45

### Clinical

**Malignant Narcissism:**
- Narcissistic: 30%
- Antisocial: 0%
- Paranoid: 0%
- Sadism: 0%

**Defense Mechanisms:**
- rationalization (neurotic)

**Cognitive Complexity:**
- Complexity: 28%

**Parasocial Techniques:**
- Direct address ('your jobs,' 'you have waited') collapses political distance and simulates personal relationship with constituency
- Anticipatory withholding ('big news coming soon') creates dependency loop requiring followers to stay tuned
- Savior framing positions Trump as the agent resolving a multigenerational grievance

## Fact Checks (2)

_The model's verdicts from 2026-03-14._

> American autoworkers have been losing jobs to other countries for many decades

**HALF TRUE**

Manufacturing employment in the U.S. declined substantially from the 1970s onward. Trade competition (particularly from Japan in the 1980s and China after 2001 WTO accession) was a documented contributing factor. However, economic consensus (Autor, Dorn & Hanson 2013; Acemoglu et al. 2020) attributes the majority of manufacturing job displacement to automation rather than trade. The post's framing attributes losses exclusively to foreign countries, omitting the primary driver.

Sources: Autor, D., Dorn, D. & Hanson, G. (2013). The China Syndrome. American Economic Review.; Acemoglu, D. et al. (2020). Robots and Employment. NBER Working Paper.; BLS historical manufacturing employment data

> Big news is coming soon for American autoworkers

**UNVERIFIABLE**

Vague forward-looking claim with no specific content. In the May 2018 context, this likely refers to imminent tariff announcements (Section 232 auto tariffs were under consideration) or NAFTA renegotiation developments (which would eventually produce USMCA). No specific verifiable claim is made.

Overall Veracity: 50%

## Tags

- aide-authored (88%)
- populist-base-maintenance (85%)
- savior-narrative (80%)
- trade-policy (90%)
- autoworkers (95%)
- grievance-mobilization (70%)
- redemption-arc (75%)
- vague-promise (80%)
- deindustrialization-framing (70%)

## That day

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

**The Birth of "SPYGATE": Trump Coins a Conspiracy Brand in a Day-Long Counter-Offensive Against the Mueller Investigation**

Trump spent most of the day consumed by the FBI's investigation of his campaign, firing off a rapid morning barrage of tweets that coined the term "SPYGATE" and accused federal investigators of being criminals. The emotional peak came mid-morning with a raw, two-word "WITCH HUNT!" outburst -- pure frustration with no elaboration. Between the grievance posts, he squeezed in announcements about trade deals and legislation, and later shifted gears for a Long Island event with families affected by MS-13 violence, where the tone turned to blaming Democrats for immigration loopholes. The day was defined by its sheer volume of rage directed at law enforcement institutions, with 17 total posts and nearly half carrying elevated danger signals.

Full digest for 2018-05-23: https://trump.fm/date/2018-05-23/analysis

## Citation

- APA: Trump, D. J. (2018, May 23). There will be big news coming soon for our great... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_999278498182258688
- MLA: Trump, Donald J. "There will be big news coming soon for our great American..." X (Twitter), 23 May. 2018. trump.fm, https://trump.fm/post/x_999278498182258688. Accessed 10 Oct. 2026.
- Chicago: Donald J. Trump, "There will be big news coming soon for our great American...," X (Twitter), May 23, 2018, archived at trump.fm, https://trump.fm/post/x_999278498182258688.

## For agents

- Site overview: https://trump.fm/llms.txt
- API specification: https://trump.fm/openapi.json
- MCP server: https://trump.fm/mcp (search and fetch tools, no auth)
- This post as JSON: https://trump.fm/api/posts/x_999278498182258688
- Analysis as JSON: https://trump.fm/api/analysis/x_999278498182258688
- All citation formats: https://trump.fm/api/cite/x_999278498182258688
- Same day: https://trump.fm/date/2018-05-23
- The record alone, without the analysis: https://trump.fm/post/x_999278498182258688.md?analysis=false

_Markdown view of a trump.fm page. Post, analysis, date, feed, contradictions, search and about pages answer in markdown at their URL with `.md` appended (`/index.md` for the home page), or when sent `Accept: text/markdown`._