# Post x_342341507421990900 - Post ID: `x_342341507421990900` - Platform: X (Twitter) - Posted: 2013-06-05T22:05:50.000Z (UTC) - Deleted: no - Repost: no - Canonical URL: https://trump.fm/post/x_342341507421990900 - Analysis page: https://trump.fm/post/x_342341507421990900/analysis - Audio narration: https://static.trump.fm/audio/x_342341507421990900.mp3 (a synthesized voice reading the post text, not a recording) ## Post text > Kern County, CA has secured $1.2B for windfarms http://t.co/NFAarkCoxj They also just secured more eagle deaths &, low property values. ## Engagement - Likes: 0 - Reposts: 47 - Replies: 0 - Views: unknown - Metrics collected: 2026-02-01T01:33:24.907Z (UTC) # Analysis _Machine-generated by trump.fm on 2026-02-23T15:10:01.343Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._ ## Authorship Attribution **Verdict: Likely authentic Trump (confidence: medium)** UTC 22:05:50 converts to **18:05 EDT** — Trump's location on June 5, 2013 was almost certainly New York (Trump Tower; he was not traveling and the Old Post Office tweet from the same day references upcoming DC hotel development, suggesting he was operating from New York HQ). Early evening falls in borderline territory, but the subject matter decisively tips the attribution toward authentic. At the time of posting, Trump was **actively litigating** against the Aberdeen Bay offshore wind farm adjacent to his Aberdeenshire golf resort. The Scottish government had approved the wind farm in March 2013; Trump filed legal challenge in May 2013 — just weeks before this tweet. The anti-wind sentiment here is not casual ideology; it is consistent with a personal, financially motivated campaign Trump was conducting in real time. The rhetorical signature — deadpan link-share followed by sardonic deflation via "also" — is a characteristic early-Trump Twitter pattern. Absent are all aide-authorship markers: no event scheduling, no polished complete sentences, no institutional voice. --- ## Multi-Level Personality Analysis (McAdams & Pals, 2006) ### Level 1: Dispositional Traits **Low Agreeableness** is dominant: the sardonic "They also just secured more eagle deaths & low property values" encodes contempt without explicitness — a socially sophisticated cruelty. The reader is positioned to laugh at the officials who celebrated securing $1.2B. **Low Openness**: The anti-wind position is ideologically predetermined. There is no engagement with the economic or climate arguments; the tweet functions as a conclusion in search of evidence. **Extraversion / Assertiveness**: Unsolicited opinion-broadcasting on a local government funding announcement is assertive social behavior — Trump injects himself into a story with no obvious personal stake declared. **Neuroticism** is **low-to-moderate**: the hostility is wry and contained, not explosive. No all-caps, no exclamation marks. This is confident antagonism rather than anxious or reactive aggression. ### Level 2: Characteristic Adaptations **Dominant motive: Agency (status, control)**. The tweet asserts epistemic authority — Trump implicitly claims to see consequences that Kern County officials either missed or are concealing. No communion motive whatsoever. **Self-schema:** Expert outsider. The subject positions himself as possessing superior real-world knowledge ("they secured eagle deaths") against naïve or corrupt government actors. **World-schema:** Zero-sum. Government "wins" contain hidden harms. Investment disguises loss. This cognitive frame is consistent across Trump's documented rhetoric. **Undisclosed interest overlay:** The tweet performs public-interest concern (eagle deaths, homeowner property values) while the speaker is simultaneously conducting active litigation against wind developers in Scotland. This is a displacement of personally motivated grievance into the register of civic concern. ### Level 3: Narrative Identity **Protagonist role:** The clear-eyed skeptic; the lone contrarian voice puncturing government triumphalism. **Narrative sequence:** Micro-contamination applied to an opponent's success narrative. Kern County's $1.2B "win" is immediately contaminated: the "also" pivot transforms the headline into a liability ledger. This is Trump as the person who reads the fine print others ignore. **Identity claims:** "I understand real consequences." "I am not fooled by green energy narratives." **Contrasting other:** Wind energy advocates and credulous public officials — implicitly foolish or complicit. --- ## Clinical Assessment No acute clinical features are activated in this post. The dynamics are low-intensity, consistent with maintenance-mode operation: - **Narcissistic state: Grandiose** (mild) — confident, superior, no vulnerability markers - **Trigger: Maintenance** — routine opinion broadcasting on a topic of existing personal investment - **Rage:** Absent. Tone is sardonic rather than hostile - **Defenses:** Neurotic-level rationalization (deploying environmental/economic framings for a financially motivated anti-wind position) and displacement (Scottish golf resort grievance channeled into American policy commentary presented as public concern) The malignant narcissism composite is low-activation: narcissistic features are latent (superiority display, contempt for officials), antisocial features negligible, paranoid features absent, sadism absent. --- ## Rhetorical Analysis The two-beat structure is economical and effective: 1. **Ironic affirmation:** "Kern County, CA has secured $1.2B for windfarms" — stated deadpan, no editorializing 2. **Pivot and deflate:** "They also just secured more eagle deaths & low property values" — the **"also"** is doing the rhetorical load-bearing work, presenting consequences not as Trump's interpretation but as objective co-deliverables This juxtaposition technique — present the opponent's triumph, then immediately reframe it as loss — avoids direct argumentation while implanting the conclusion. The audience is invited to share the wry recognition, not to evaluate evidence. **Ironic environmentalism:** Eagle deaths are deployed as a green objection against a green energy project. This rhetorical judo targets multiple audiences simultaneously: conservatives who are anti-wind, and environmentalists who might be troubled by raptor mortality. The speaker appropriates the opposing side's moral vocabulary. **Property values:** Classic appeal to homeowner economic self-interest — a broadly legible concern that requires no political identity. **Stochastic terrorism:** Absent. No targets, no mobilization, no threat framing. --- ## Cognitive Assessment Language complexity is **low-to-moderate**, appropriate for Twitter format and consistent with Trump's 2013 baseline. Syntax is short and declarative. No word-finding difficulty, perseveration, tangentiality, or semantic drift is evident. The sardonic structure requires and demonstrates intact pragmatic language function. **No deviation from 2013 baseline detected.** --- ## Fact Verification | Claim | Verdict | Evidence | |-------|---------|----------| | "Kern County secured $1.2 billion for wind farms" | **Unverifiable** | Source link (t.co/NFAarkCoxj) is dead and cannot be retrieved. The specific $1.2B figure for Kern County is not independently corroborated in available sources. Kern County was a significant wind energy development hub in this period, making large investment figures generically plausible. | | "Wind farms cause eagle deaths" | **Mostly True** | Factually documented — FWS confirmed golden eagle fatalities at Kern County facilities specifically including Pine Tree Wind Project and North Sky River Wind Farm. The claim is true but characteristically decontextualized; Trump's subsequent invocations of this fact consistently exaggerated the scale. | | "Wind farms cause low property values" | **Mostly False** | The preponderance of research as of 2013 showed minimal to no statistically significant impact on residential property values near wind installations. American Wind Energy Association cited a 2013 report concluding house prices were not impacted. | Overall Veracity: 50% ## Danger Assessment **None.** Policy opinion with sardonic framing. No dehumanizing language, no eliminationist rhetoric, no identifiable targets, no calls to action. --- ## Contextual Significance This tweet is psychologically most interesting not for what it says but for what it conceals: at the time of posting, Trump was one month into active litigation against Scottish wind developers threatening his Aberdeenshire golf investment. The tweet presents a posture of civic concern (eagles, homeowners) while serving a personal financial campaign. The pattern — personal interest laundered through public-interest framing — is a characteristic Trump behavioral signature with implications for evaluating his subsequent policy positions on energy. ## Authorship Analysis **Self-Written** (score: 72%) ### Indicators - Wind farm opposition is a documented personal obsession linked to active Scottish golf resort litigation filed May 2013 — one month before this tweet - Sardonic two-beat juxtaposition style (ironic affirmation → deflation via 'also') is characteristic authentic early-Twitter Trump voice - 18:05 EDT — early evening in New York, plausible window for personal tweeting - No aide-typical markers: no event scheduling, no institutional voice, no polished complete sentences - Link-share plus instant sardonic commentary is a documented early-Trump Twitter pattern ## Psychological Profile ### State **Grandiose State** **Trigger:** Maintenance (Kern County wind farm funding news item) Sentiment: -0.50 ### Clinical **Malignant Narcissism:** - Narcissistic: 30% - Antisocial: 10% - Paranoid: 5% - Sadism: 5% **Defense Mechanisms:** - rationalization (neurotic) - displacement (neurotic) **Cognitive Complexity:** - Complexity: 35% **Parasocial Techniques:** - Sardonic wit as in-group affirmation and status signal - Epistemic authority claim — positioning self as one who sees real consequences others miss ## Fact Checks (3) _The model's verdicts from 2026-02-23._ > Kern County secured $1.2 billion for wind farms **UNVERIFIABLE** Source link (t.co/NFAarkCoxj) is dead and cannot be retrieved. The specific $1.2B figure for Kern County is not independently corroborated in available sources. Kern County was a significant wind energy development hub in this period, making large investment figures generically plausible. > Wind farms cause eagle deaths **MOSTLY TRUE** Factually documented — FWS confirmed golden eagle fatalities at Kern County facilities specifically including Pine Tree Wind Project and North Sky River Wind Farm. The claim is true but characteristically decontextualized; Trump's subsequent invocations of this fact consistently exaggerated the scale. Sources: https://www.kcet.org/redefine/feds-ask-for-help-in-wind-turbine-eagle-deaths; https://politifact.com/factchecks/2016/may/31/donald-trump/trump-exaggerates-wind-turbine-eagle-deaths/ > Wind farms cause low property values **MOSTLY FALSE** The preponderance of research as of 2013 showed minimal to no statistically significant impact on residential property values near wind installations. American Wind Energy Association cited a 2013 report concluding house prices were not impacted. Sources: https://www.factcheck.org/2016/06/trumps-hot-air-on-wind-energy/ Overall Veracity: 50% ## Tags - wind_energy (92%) - anti_green_energy (88%) - sardonic_juxtaposition (78%) - financial_self_interest_concealed (72%) - eagle_deaths (60%) - property_values (50%) - scotland_litigation_context (68%) ## That day _From trump.fm's machine-generated digest of the day, not his words._ **Pre-Dawn Racial Grievance Spiral Anchored by Central Park Five Denial Dominates Otherwise Promotional Day** Trump's day split sharply between a combative pre-dawn burst and a bland afternoon of brand promotion. Between roughly 3 and 5 AM Eastern, he fired off a coordinated sequence of posts attributing violent crime to Black and Hispanic communities, capped by doubling down on the guilt of the exonerated Central Park Five — calling them "muggers" eleven years after their convictions were vacated by DNA evidence. The rest of the day was routine: plugging hotels, ties, golf courses, and picking a fight with A-Rod and Vanity Fair's editor. Fifty posts total — a high-volume day suggesting restless energy and very little sleep. Full digest for 2013-06-05: https://trump.fm/date/2013-06-05/analysis ## Citation - APA: Trump, D. J. (2013, June 5). Kern County, CA has secured $1.2B for windfarms... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_342341507421990900 - MLA: Trump, Donald J. "Kern County, CA has secured $1.2B for windfarms..." X (Twitter), 5 Jun. 2013. trump.fm, https://trump.fm/post/x_342341507421990900. Accessed 9 Oct. 2026. - Chicago: Donald J. Trump, "Kern County, CA has secured $1.2B for windfarms...," X (Twitter), June 5, 2013, archived at trump.fm, https://trump.fm/post/x_342341507421990900. ## 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_342341507421990900 - Analysis as JSON: https://trump.fm/api/analysis/x_342341507421990900 - All citation formats: https://trump.fm/api/cite/x_342341507421990900 - Same day: https://trump.fm/date/2013-06-05 - The record alone, without the analysis: https://trump.fm/post/x_342341507421990900.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`._