# Post x_406871951593185300

- Post ID: `x_406871951593185300`
- Platform: X (Twitter)
- Posted: 2013-12-01T00:46:47.000Z (UTC)
- Deleted: no
- Repost: no
- Canonical URL: https://trump.fm/post/x_406871951593185300
- Analysis page: https://trump.fm/post/x_406871951593185300/analysis
- Audio narration: https://static.trump.fm/audio/x_406871951593185300.mp3 (a synthesized voice reading the post text, not a recording)

## Post text

> ""@fay @aberdeedshire How the Green movement kills: 31,000 excess winter deaths in Britain last year. Each turbine kills 6 pensioners.""

## Engagement

- Likes: 0
- Reposts: 23
- Replies: 0
- Views: unknown
- Metrics collected: 2026-02-01T01:33:24.894Z (UTC)

# Analysis

_Machine-generated by trump.fm on 2026-02-27T16:59:51.181Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._

## Summary

This December 2013 retweet reveals Trump amplifying anti-wind energy propaganda at the precise moment his Court of Session challenge against the Scottish government's approval of the Aberdeen Bay wind farm had entered active hearings — making the content motivated advocacy in service of active litigation, not disinterested commentary. The ONS excess winter deaths figure (31,100 for 2012/13) had been published just five days prior; the @aberdeedshire handle feeding Trump this content directly indexed the Scottish anti-wind movement aligned with his Menie Estate litigation.

The psychological structure is characteristic: personal financial self-interest (protecting golf course views from offshore turbines) rendered invisible beneath ostensible humanitarian concern for elderly pensioners. The "6 pensioners per turbine" calculation — a spurious division of excess winter deaths by operational turbine count — represents reality distortion in service of litigation-adjacent advocacy. Defense mechanisms include rationalization (real ONS statistics scaffolding a false causal claim), projection (attributing harm to Green opponents), and pathological distortion (the fabricated per-turbine figure).

Danger is elevated: framing political opponents as causally responsible for 31,000 deaths annually — using the criminal verb "kills" rather than policy language — establishes a lethal-enemy narrative around environmental advocacy. Not stochastic terrorism (no specific targets, no implied action), but structurally consistent with the rhetorical groundwork for escalating dehumanization of environmental advocates. Authorship is likely authentic given evening timing, active personal litigation stake, and niche content inconsistent with aide-managed messaging.

## Post Analysis: December 1, 2013 — Anti-Wind Energy Retweet

### Critical Contextual Finding

The timing of this retweet is highly significant and non-coincidental. Two events immediately preceded it:

1. **ONS published the 31,000 excess winter deaths bulletin on November 26, 2013** — just five days before this post. The statistic was freshly released, circulating in British press, and the @aberdeedshire account fed it to Trump immediately.
2. **Trump's Court of Session hearing against the Scottish government began November 2013** — the Aberdeen Bay wind farm legal challenge was in active proceedings at the precise moment of this retweet. Trump had filed the challenge in May 2013 after planning consent was granted in March 2013 for an 11-turbine offshore wind farm 3.5 km from his Menie Estate golf course.

This is not disinterested environmental commentary. This is motivated advocacy timed to the start of Trump's own active litigation, weaponizing a freshly-released mortality statistic.

---

### Authorship Attribution

Posted at **00:46:47 UTC on December 1, 2013**, which converts to **7:46 PM EST on November 30** — late evening in Trump's likely New York location (Trump Tower). This falls within his established personal posting window. The surrounding posts that day — football commentary, ACA criticism, fan thank-yous — all show authentic Trump voice and timing. The Aberdeenshire connection provides personal-stake motivation far exceeding what aide-managed messaging would prioritize. The content is niche, emotionally extreme, and directly tied to active litigation. Aide-written content in 2013 typically involved event announcements and polished messaging; this is reactive amplification of fringe anti-wind agitprop.

**Assessment: Likely authentic (confidence: medium-high, ~0.72)**

---

### Level 1: Dispositional Traits

- **Low Agreeableness (dominant)**: The deaths of 31,000 pensioners are instrumentalized as rhetorical ammunition with zero acknowledgment of actual causation (cold exposure, respiratory disease, inadequate housing insulation per ONS). No empathy for complexity.
- **Low Conscientiousness**: The claim "each turbine kills 6 pensioners" — apparently derived by dividing excess winter deaths by the number of operational UK wind turbines — is so self-evidently spurious that any fact-checking would have exposed it immediately. No verification occurred before amplification.
- **Low Openness**: Rigid ideological framing; the post admits no nuance, no counterfactual, no engagement with the ONS's actual attributed causes.
- **High Extraversion (assertiveness facet)**: Comfortable amplifying extreme claims publicly, in the middle of active litigation, creating a public record of his bias.
- **Moderate Neuroticism**: Reactive engagement with content tied to a genuine personal grievance (court proceedings), though expressed through retweeted content rather than direct outburst.

---

### Level 2: Characteristic Adaptations

**Agency Motives (Power/Control):** This retweet serves concrete financial self-interest. The Menie Estate golf course investment — which Trump said he wanted to protect from "huge and unsightly industrial wind turbines" — was under active threat from a government-approved wind farm. The @aberdeedshire handle in the original tweet directly indexes the Scottish anti-wind movement that aligned with Trump's litigation goals.

**Schemas:**
- *Self*: Truth-teller exposing what elites suppress; ally of ordinary pensioners against green ideology
- *Others*: Green movement as murderous force; pensioners as casualties; Scottish government as adversary
- *World*: Zero-sum battlefield where environmental policy literally kills the vulnerable

---

### Level 3: Narrative Identity

- **Protagonist Role**: Whistleblower/truth-teller; the one who exposes institutional harm to the elderly
- **Contrasting Other**: "The Green movement" — recast as causally responsible for mass death
- **Narrative Sequence**: Contamination — what presents itself as benevolent environmental concern is revealed as a lethal ideological imposition on vulnerable elderly Britons
- **Identity Claims**: Defender of ordinary people against elite environmentalism; willing to amplify suppressed truths
- **Implicit self-interest concealment**: The actual motivation (protecting golf course aesthetics/property value) is rendered invisible beneath ostensible concern for pensioners

---

### Level 4: Clinical Indicators

**Narcissistic Features (Moderate, ~0.50):** The cloaking of personal financial interest (Menie Estate litigation) within apparent humanitarian concern (pensioner deaths) is textbook narcissistic instrumentalization — others' suffering mobilized as a vehicle for self-serving ends.

**Antisocial Features (Moderate, ~0.45):** Willingness to amplify a demonstrably false causal claim ("6 pensioners per turbine") without any apparent concern for its accuracy or the manipulation of public discourse it represents.

**Paranoid Features (Moderate, ~0.45):** The Green movement is not treated as a policy adversary but as a lethal conspiracy against elderly Britons. The framing "How the Green movement kills" attributes purposive harm to a diffuse political tendency, consistent with paranoid ideation in the clinical sense — perceiving malign intent in ambiguous or structural forces.

**Sadistic Features (Low, ~0.15):** This post lacks the characteristic pleasure in specific targets' humiliation. The affect is more instrumental than expressive.

---

### Cognitive Status

This is a retweet; Trump's own language production is limited to the amplification act itself. The surrounding posts show coherent 2013-era Trump voice (direct, reactive, emotionally engaged), with no indicators of linguistic degradation. The retweeting decision — selecting and amplifying this specific, niche, extreme claim within five days of the ONS publication — reflects ideologically filtered information-seeking consistent with his established patterns. No deviation from 2013 baseline detectable.

---

### Fact Verification

| Claim | Verdict | Evidence |
|-------|---------|----------|
| "31,000 excess winter deaths in Britain last year" | **Mostly True** | ONS bulletin published November 26, 2013 (5 days before this tweet) confirmed 31,100 excess winter deaths in England and Wales during 2012/13 — a 29% increase driven by cold temperatures (March 2013 coldest since 1962) and respiratory illness. The raw figure is accurate. Attribution to 'the Green movement' is the distortion — ONS cites respiratory disease (~40%), circulatory disease (~30%), dementia seasonal effects, and cold exposure as actual causes. |
| "Each turbine kills 6 pensioners" | **False** | No peer-reviewed literature establishes any causal mechanism by which wind turbines cause excess winter mortality. This figure appears derived by dividing ~31,000 excess winter deaths by approximately 5,000 operational UK wind turbines at the time — a textbook post hoc fallacy presenting spurious correlation as documented causation. ONS attributes these deaths to cold exposure, respiratory and circulatory disease, and housing insulation failures — none of which have any causal connection to wind turbine operation. |
| "Green movement causes excess winter deaths" | **Mostly False** | The fuel poverty argument — that green energy subsidies raise electricity prices, reducing heating affordability among elderly poor — is a legitimate policy debate. However, attributing 31,000 excess winter deaths causally and exclusively to 'the Green movement' conflates correlation with causation, ignores ONS-documented causal factors (weather, respiratory disease, housing), and treats a complex socioeconomic mortality phenomenon as the direct result of political advocacy. The causal chain is not established in scientific literature. |

Overall Veracity: 33%

## Authorship Analysis

**Self-Written** (score: 72%)

### Indicators

- Posted at 7:46 PM EST (late evening, within personal posting window)
- Active Court of Session litigation against Aberdeenshire wind farm began November 2013 — directly concurrent
- @aberdeedshire handle directly indexes Trump's ongoing Scottish golf course wind turbine legal battle
- ONS published the 31,000 figure just 5 days prior — reactive amplification of fresh news
- Niche anti-wind content inconsistent with polished aide-managed messaging

## Psychological Profile

### State

**Grandiose State**

**Trigger:** Narcissistic Injury — Defeat (Aberdeen Bay offshore wind farm approval by Scottish government; active Court of Session litigation threatening Menie Estate investment)

Sentiment: -0.73

### Clinical

**Malignant Narcissism:**
- Narcissistic: 50%
- Antisocial: 45%
- Paranoid: 45%
- Sadism: 15%

**Defense Mechanisms:**
- rationalization (neurotic)
- projection (immature)
- distortion (pathological)

**Cognitive Complexity:**
- Complexity: 38%

**Parasocial Techniques:**
- Amplifying outrage content to build shared enemy (Green movement as mass killer of elderly)
- Using maximally sympathetic victim class (pensioners) to bypass audience's critical reasoning
- Positioning as truth-teller exposing what mainstream media and political establishment suppress
- Feeding audience a vivid, concrete accusation (6 per turbine) that creates memorable emotional imprint

## Danger Assessment

**ELEVATED**

### Indicators

- Frames political opponents (Green movement) as causally responsible for mass death (31,000 people per year)
- Per-turbine death framing ('kills 6 pensioners') creates vivid, emotionally resonant accusation against environmental advocates — memorable and repeatable
- Establishes 'lethal enemy' narrative around environmental policy advocacy
- Criminal attribution ('kills') rather than policy criticism contributes to dehumanization groundwork
- Rhetorical structure (identify enemy → attribute mass harm → imply ongoing danger) consistent with pre-violence escalation patterns when applied longitudinally

## Fact Checks (3)

_The model's verdicts from 2026-02-27._

> 31,000 excess winter deaths in Britain last year

**MOSTLY TRUE**

ONS bulletin published November 26, 2013 (5 days before this tweet) confirmed 31,100 excess winter deaths in England and Wales during 2012/13 — a 29% increase driven by cold temperatures (March 2013 coldest since 1962) and respiratory illness. The raw figure is accurate. Attribution to 'the Green movement' is the distortion — ONS cites respiratory disease (~40%), circulatory disease (~30%), dementia seasonal effects, and cold exposure as actual causes.

Sources: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/excesswintermortalityinenglandandwales/2013-11-26; https://www.itv.com/news/story/2013-11-26/31-000-excess-winter-deaths/

> Each turbine kills 6 pensioners

**FALSE**

No peer-reviewed literature establishes any causal mechanism by which wind turbines cause excess winter mortality. This figure appears derived by dividing ~31,000 excess winter deaths by approximately 5,000 operational UK wind turbines at the time — a textbook post hoc fallacy presenting spurious correlation as documented causation. ONS attributes these deaths to cold exposure, respiratory and circulatory disease, and housing insulation failures — none of which have any causal connection to wind turbine operation.

Sources: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/excesswintermortalityinenglandandwales/2013-11-26

> Green movement causes excess winter deaths

**MOSTLY FALSE**

The fuel poverty argument — that green energy subsidies raise electricity prices, reducing heating affordability among elderly poor — is a legitimate policy debate. However, attributing 31,000 excess winter deaths causally and exclusively to 'the Green movement' conflates correlation with causation, ignores ONS-documented causal factors (weather, respiratory disease, housing), and treats a complex socioeconomic mortality phenomenon as the direct result of political advocacy. The causal chain is not established in scientific literature.

Sources: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/excesswintermortalityinenglandandwales/2013-11-26; https://researchbriefings.files.parliament.uk/documents/POST-PN-0752/POST-PN-0752.pdf

Overall Veracity: 33%

## Tags

- wind-energy-opposition (92%)
- aberdeenshire-litigation-context (95%)
- personal-financial-interest-masked (90%)
- statistical-manipulation (85%)
- victim-weaponization-pensioners (80%)
- enemy-criminalization (78%)
- false-causal-attribution (88%)
- climate-denial-adjacent (72%)
- fuel-poverty-misappropriation (65%)
- retweet-motivated-amplification (85%)

## That day

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

**Sunday Evening Supply Run: Brand Promotion, Fan Flattery, and a Litigation-Motivated Propaganda Spike Beneath a Tranquil November Nightcap**

December 1, 2013 (UTC) resolves, on Trump's local clock in New York City, to a Sunday evening session spanning 19:32–23:57 EST on November 30 — well within conventional waking hours and structurally organized around live television. All 13 posts carry a uniformly grandiose classification with no rage, no state transitions, and a mean intensity of 0.14, placing this among the quieter days in the corpus. The session follows a legible four-act structure: a football game reaction opens proceedings, a single litigation-motivated propaganda retweet briefly elevates the danger register, an extended Macy's fan-reply loop dominates the middle hour, and political commentary followed by sports appreciation closes the night before midnight.

The day's sole psychologically significant moment arrives at 19:46 EST in post x_406871951593185300 — a retweet framing the Green movement as responsible for 31,000 annual British deaths and attributing "6 pensioners killed per turbine" — a fabricated statistic scaffolded on real ONS data. Post-level commentary establishes this as litigation-adjacent advocacy deployed at the precise moment Trump's Court of Session challenge against the Aberdeen Bay offshore wind farm was in active hearings, rendering the ostensible humanitarian concern a rhetorical instrument serving personal financial interests. This is the only elevated-danger post in the session and does not generate escalation; intensity immediately drops to 0.04 in the very next post. Eight of thirteen posts are brief fan-response retweets amplifying compliments about Trump-branded Macy's merchandise — a sustained narcissistic supply acquisition loop of minimal cognitive or emotional intensity.

No hypomanic indicators are met: posting ceases before midnight local time, frequency (~2.7 posts/hour) is moderate, and there is no evidence of sleep disruption. The absence of any response to the Metro-North Bronx derailment — a major New York-area disaster claiming four lives the same morning — suggests evening media consumption was entertainment- and cable-news-oriented rather than news-intensive. No contradictions, no rage, no escalation. The narrative arc is stable: a private-citizen celebrity watching football, harvesting brand validation, and dispensing routine political commentary, entirely within the behavioral envelope of a low-key Sunday night."

Full digest for 2013-12-01: https://trump.fm/date/2013-12-01/analysis

## Citation

- APA: Trump, D. J. (2013, December 1). ""@fay @aberdeedshire How the Green movement... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_406871951593185300
- MLA: Trump, Donald J. """@fay @aberdeedshire How the Green movement kills: 31,000..." X (Twitter), 1 Dec. 2013. trump.fm, https://trump.fm/post/x_406871951593185300. Accessed 9 Oct. 2026.
- Chicago: Donald J. Trump, """@fay @aberdeedshire How the Green movement kills: 31,000...," X (Twitter), December 1, 2013, archived at trump.fm, https://trump.fm/post/x_406871951593185300.

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