Analysis: ""@fay @aberdeedshire How the Green movement kills: 31,000 e...

12y ago Dec 1, 2013 at 12:46 AM

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

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AI Analysis

Machine-generated analysis of the post above on 2026-02-27. Not written by the author of the post.

Danger Level

Elevated

Narcissistic State

Grandiose

Authorship

Self-Written

Intensity

68%

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.

Authorship Analysis

Self-Written

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:

rationalizationprojectiondistortion

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 reasoningPositioning as truth-teller exposing what mainstream media and political establishment suppressFeeding 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

Reality Distortions:

Causal attribution of 31,000 UK excess winter deaths to 'the Green movement' — ONS attributes these to cold exposure, respiratory disease, circulatory disease, and housing insulation failures
'Each turbine kills 6 pensioners' — spurious division of excess winter deaths by operational turbine count, presented as documented causation with zero scientific basis
Framing of structural socioeconomic mortality phenomenon (fuel poverty, housing, cold weather) as direct political agency of environmental advocates

Fact Checks (3)

"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.

Receipts

No contradictions with other posts detected yet.

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:

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.
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%