# Post x_701945579333513216 - Post ID: `x_701945579333513216` - Platform: X (Twitter) - Posted: 2016-02-23T01:44:02.000Z (UTC) - Deleted: no - Repost: no - Canonical URL: https://trump.fm/post/x_701945579333513216 - Analysis page: https://trump.fm/post/x_701945579333513216/analysis - Audio narration: https://static.trump.fm/audio/x_701945579333513216.mp3 (a synthesized voice reading the post text, not a recording) ## Post text > Thank you Vermont! #VoteTrumpVT > https://t.co/8KGOpqDb9t ## Engagement - Likes: 4,929 - Reposts: 1,552 - Replies: 0 - Views: unknown - Metrics collected: 2026-01-31T23:43:13.381Z (UTC) # Analysis _Machine-generated by trump.fm on 2026-03-09T17:04:04.653Z (UTC): a model's reading of this post, not his words. Its psychological terms describe the language, not a clinical assessment of him._ # Post Analysis: "Thank you Vermont!" — February 23, 2016 ## Overview This is a minimal, formulaic campaign thank-you post, one of at least five structurally identical posts on the same date targeting different primary states (Illinois, Massachusetts, North Carolina, Michigan, Vermont). The post offers almost no standalone psychological signal; its significance lies entirely in its pattern and context. ## Authorship Attribution **UTC 01:44:02 on 2016-02-23 = 8:44 PM EST on February 22, 2016** (Trump almost certainly in Nevada or New York during the lead-up to the Nevada caucus, scheduled for February 23). At 8:44 PM Eastern, this falls in borderline territory — neither the deep-night window associated with authentic Trump nor standard business hours. However, the strongest authorship signal here is **pattern-level**, not timing-level. The post is one of at least five near-identical "Thank you [STATE]! #VoteTrump[XX]" posts, each with a trailing URL (likely a photo or graphic). This systematic, multi-state broadcast cadence is characteristic of **coordinated aide operation** (likely Scavino's team), not Trump's spontaneous, emotionally reactive posting style. Authentic Trump in the same session produces a markedly different voice: "Just watched the very incompetent Mitt Romney Campaign Strategist, Stuart Stevens. Now I know why Mitt lost so badly. Stevens is a clown!" — that post shows emotional reactivity, name-calling, and stream-of-consciousness structure. The thank-you series posts show none of these features. **Verdict: Aide-written (high confidence).** Campaign infrastructure content; likely pre-scheduled or rapidly templated by Scavino or campaign digital staff. ## Psychological State and Triggers In the broader context of February 23, 2016, Trump had just won the Nevada caucus with a commanding 45.9% — his third consecutive early-state victory. The psychological backdrop is **grandiose mode**: expansive, dominant, validating. The rapid-fire posting of poll numbers from Super Tuesday states (IL, NC, MI) reflects an organized effort to consolidate front-runner positioning and suppress competitor momentum ahead of March 15. The post itself is a **maintenance/supply-seeking** operation. It serves the narcissistic supply function of collecting gratitude loops: "I thank them → they respond with loyalty affirmation → the crowd grows." However, this dynamic is being managed by staff, not expressed organically by Trump. The concurrent authentic post (Stevens/"clown") reveals the underlying psychological state: **grandiose/triumphant following Nevada**, with aggressive devaluation of Romney-adjacent figures available as a side outlet. The aide-managed posts ride that wave while keeping Trump electorally on-message. ## Defense Mechanisms Not meaningfully assessable in this post. The content is too thin and likely not Trump's own production. ## Rhetorical Techniques - **State-specific audience targeting**: Micro-personalization to build parasocial local loyalty. - **Gratitude as flattery inversion**: "Thank you" directed at voters functions as validation-seeking — it elicits reciprocal affirmation from the audience. - **GOTV hashtag** (#VoteTrumpVT): Instrumental political tool embedded in affective framing. - **URL attachment**: Likely image content designed to increase algorithmic engagement. - **Repetition across states**: Volume broadcasting consistent with RAND firehose model — saturation of feeds with affirmative Trump content suppresses competitor visibility. ## Cognitive Status Completely unassessable from this post due to brevity and likely non-authentic authorship. No markers either way. ## Danger Indicators None. Entirely benign campaign content. ## Summary Not generated. Post is clinically non-significant — routine, aide-authored campaign content. The only analytically interesting observation is the contrast between this polished, formulaic series and the simultaneously posted authentic Stuart Stevens attack post, which illustrates the dual-track Trump Twitter operation that characterized the 2016 campaign: staff-managed electoral messaging running in parallel with Trump's own reactive, emotionally unfiltered output. ## Authorship Analysis **Aide-Written** (score: 15%) ### Indicators - One of five near-identical state thank-you posts suggesting systematic broadcast campaign operation - Clean formatting with campaign hashtag and trailing URL — consistent with Scavino/digital staff template - No typos, no emotional reactivity, no stream-of-consciousness markers - Stark contrast with concurrent authentic post (Stevens/clown) which shows Trump's genuine voice - UTC 01:44:02 = 8:44 PM EST — borderline timing, not strongly indicative either way ## Psychological Profile ### State **Grandiose State** **Trigger:** Supply Seeking (Vermont voters / primary campaign audience) Sentiment: +0.70 ### Clinical **Malignant Narcissism:** - Narcissistic: 10% - Antisocial: 0% - Paranoid: 0% - Sadism: 0% **Cognitive Complexity:** - Complexity: 10% **Parasocial Techniques:** - Gratitude inversion — 'thank you' elicits reciprocal loyalty from followers - State-specific micro-targeting to build local parasocial bonds ## Tags - campaign-messaging (90%) - aide-authored (85%) - supply-seeking (30%) - volume-broadcasting (60%) - 2016-primary (80%) ## That day _From trump.fm's machine-generated digest of the day, not his words._ **Nevada Caucus Blowout Fuels Daylong Grandiose Victory Lap and Cruz Demolition Campaign** Trump rode a dominant Nevada caucus win to a full day of celebration and rival-bashing. The mood was triumphant from start to finish -- poll numbers were paraded, supporters were thanked, and Ted Cruz was hammered repeatedly over his fired communications director, his immigration stance, and his religious sincerity. A brief flash of anger at Fox News for a perceived hit piece was the only crack in an otherwise relentlessly confident day. The volume was high but matched the occasion, and no posts crossed into dangerous territory. Full digest for 2016-02-23: https://trump.fm/date/2016-02-23/analysis ## Citation - APA: Trump, D. J. (2016, February 23). Thank you Vermont! #VoteTrumpVT... [Social media post]. X (Twitter). trump.fm. https://trump.fm/post/x_701945579333513216 - MLA: Trump, Donald J. "Thank you Vermont! #VoteTrumpVT https://t.co/8KGOpqDb9t" X (Twitter), 23 Feb. 2016. trump.fm, https://trump.fm/post/x_701945579333513216. Accessed 9 Oct. 2026. - Chicago: Donald J. Trump, "Thank you Vermont! #VoteTrumpVT https://t.co/8KGOpqDb9t," X (Twitter), February 23, 2016, archived at trump.fm, https://trump.fm/post/x_701945579333513216. ## 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_701945579333513216 - Analysis as JSON: https://trump.fm/api/analysis/x_701945579333513216 - All citation formats: https://trump.fm/api/cite/x_701945579333513216 - Same day: https://trump.fm/date/2016-02-23 - The record alone, without the analysis: https://trump.fm/post/x_701945579333513216.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`._