# Post x_391196120459649025 - Post ID: `x_391196120459649025` - Platform: X (Twitter) - Posted: 2013-10-18T13:36:37.000Z (UTC) - Deleted: no - Repost: no - Canonical URL: https://trump.fm/post/x_391196120459649025 - Analysis page: https://trump.fm/post/x_391196120459649025/analysis - Audio narration: https://static.trump.fm/audio/x_391196120459649025.mp3 (a synthesized voice reading the post text, not a recording) ## Post text > @nbrenewables @TrumpScotland Thank you. ## Engagement - Likes: 0 - Reposts: 1 - Replies: 0 - Views: unknown - Metrics collected: 2026-01-31T23:43:13.279Z (UTC) # Analysis _Machine-generated by trump.fm on 2026-02-27T04:02:36.744Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._ # Psychological & Rhetorical Analysis: October 18, 2013 — "@nbrenewables @TrumpScotland Thank you." ## Overview This post is a minimal two-word reply directed at two Twitter accounts: `@nbrenewables` and `@TrumpScotland`. The content is entirely non-diagnostic from a psychological standpoint — it is a formulaic expression of gratitude and offers virtually no traction for trait, motive, narrative, or clinical analysis in isolation. Its primary analytical value lies in authorship attribution and the contextual inference it permits about ongoing operational concerns. --- ## Authorship Attribution **Timestamp conversion:** Post sent at 13:36 UTC. In October 2013, New York (Trump's primary base of operations) was on EDT (UTC−4), placing the post at **9:36 AM local time** — squarely within business hours. Trump Tower was his headquarters throughout this period; no travel to Scotland or elsewhere is documented for this specific date. **Business hours** is the single strongest aide indicator. Compounding this: the day's Twitter log shows a repeating pattern of brief thank-you replies (at least three documented: `@itscharlotteann`, `@southpaw816`, `@WayneEtnyre`) interspersed with the more characteristically Trumpian all-caps ACA grievance posts. This two-tier pattern — polished replies vs. emotionally urgent substantive content — is consistent with a **hybrid posting model**: an aide (most likely Dan Scavino, who managed Trump's social accounts from at least 2015, with earlier evidence of involvement) handling routine engagement while Trump authored the policy outrage content himself. The mention of `@TrumpScotland` (Trump's Aberdeenshire golf property account) is notable. In October 2013, Trump was actively litigating against the Scottish government over the Aberdeen Bay offshore wind farm — a legal campaign he had launched in May 2013 and which would eventually fail at the UK Supreme Court in 2015. The `@nbrenewables` handle is most plausibly an anti-wind or energy-sector account that offered some form of supportive commentary; Trump or his Scottish operations team responding to such a mention would be consistent with their active PR campaign against the wind farm. **Authorship confidence: LOW.** The post is too brief to stylometrically distinguish. Business hours and formulaic character lean aide. --- ## Psychological Analysis No clinically significant material is accessible from this post. The text contains: - Zero dispositional trait signal - Zero narrative identity content - Zero motive expression beyond generic communion/maintenance - No rage, no narcissistic injury, no idealization/devaluation - No defense mechanisms in operation **Trigger type:** Routine maintenance — responding to a positive mention of a Trump-branded property during an active reputational dispute (wind farm litigation). This is supply-seeking by proxy: affirming supporters who are defending his Scottish golf brand. The same-day context shows Trump in an elevated agitation state regarding the ACA website (calling out the $535M Canadian contractor in two separate tweets, using emphatic ALL CAPS), but that energy is entirely absent here. This post is tonally neutral — a brief acknowledgment, nothing more. --- ## Longitudinal Note October 2013 represents a characteristic multi-topic Trump day: policy grievance (ACA), property brand management (Scotland), and reactive appreciation of supporters. The emotional register in the ACA tweets is more consistent with authenticated Trump content (impulsive, capitalized, emotionally charged). The thank-you replies read as routine staff-managed engagement, though the distinction is not definitive given his documented personal Twitter activity during this period. --- ## Danger Assessment None. Post contains no threatening, eliminationist, or mobilizing content. --- *Sources consulted:* Trump Scotland wind farm litigation context from [Triple Pundit](https://triplepundit.com/2013/donald-trump-vs-scotland-legal-battle-over-wind-farm-blows/), [NPR](https://www.npr.org/2013/07/01/196352470/thar-he-blows-trump-tussles-with-scots-over-wind-turbines), [EcoWatch](https://www.ecowatch.com/trump-organization-to-pay-290000-for-failed-legal-fight-against-scottish-wind-farm-2641325439.html). ## Authorship Analysis **Aide-Written** (score: 30%) ### Indicators - Post sent at 9:36 AM EDT — business hours, primary aide indicator - Polished, grammatically complete; no typos or ALL CAPS - Formulaic reply pattern repeated at least three times same day - Mention of @TrumpScotland suggests property/staff coordination - Insufficient textual length for stylometric determination ## Psychological Profile ### State **Grandiose State** **Trigger:** Maintenance (@nbrenewables positive mention of @TrumpScotland) Sentiment: +0.50 ### Clinical **Malignant Narcissism:** - Narcissistic: 0% - Antisocial: 0% - Paranoid: 0% - Sadism: 0% **Cognitive Complexity:** - Complexity: 0% **Parasocial Techniques:** - Formulaic thank-you reply as parasocial maintenance signal to supporter base ## Tags - reply (100%) - gratitude (100%) - scotland-property (70%) - wind-farm-dispute (40%) - likely-aide (65%) ## That day _From trump.fm's machine-generated digest of the day, not his words._ **Letterman Glow Gives Way to All-Evening Feud With New York Magazine** Trump spent the day basking in praise after a Letterman appearance, retweeting dozens of fans calling him a legend and urging a presidential run. By morning he pivoted to attacking the botched Healthcare.gov rollout, casting himself as the competent businessman America needed. The mood turned sharply when he picked a fight with New York Magazine — mocking its finances and writers — and an editor fired back with a cruel personal jab about his wife. Trump spent the entire evening orchestrating a sustained counterattack, mobilizing followers to cancel subscriptions and demanding the editor's resignation across more than twenty posts. Full digest for 2013-10-18: https://trump.fm/date/2013-10-18/analysis ## Citation - APA: Trump, D. J. (2013, October 18). @nbrenewables @TrumpScotland Thank you. [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_391196120459649025 - MLA: Trump, Donald J. "@nbrenewables @TrumpScotland Thank you." X (Twitter), 18 Oct. 2013. trump.fm, https://trump.fm/post/x_391196120459649025. Accessed 9 Oct. 2026. - Chicago: Donald J. Trump, "@nbrenewables @TrumpScotland Thank you.," X (Twitter), October 18, 2013, archived at trump.fm, https://trump.fm/post/x_391196120459649025. ## 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_391196120459649025 - Analysis as JSON: https://trump.fm/api/analysis/x_391196120459649025 - All citation formats: https://trump.fm/api/cite/x_391196120459649025 - Same day: https://trump.fm/date/2013-10-18 - The record alone, without the analysis: https://trump.fm/post/x_391196120459649025.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`._