# Posts from Tuesday, October 13, 2015 33 posts on 2015-10-13. ## Day analysis Day analysis page: https://trump.fm/date/2015-10-13/analysis _Machine-generated by trump.fm on 2026-03-23T12:46:21.136Z (UTC): a model's reading of the day's posts, not his words. Its psychological terms describe the language, not a clinical assessment of him._ **Sleepless in Las Vegas: A Night of Narcissistic Injury, Immigration Alarmism, and Debate Counter-Programming** Trump spent the night before the first Democratic debate in Las Vegas on a posting marathon that stretched well past 4 AM, showing little sign of sleep. The dominant mood was self-congratulatory -- sharing praise from followers, touting poll numbers, and hyping his plan to live-tweet the debate. But a festering wound kept breaking through: a woman who challenged him at a No Labels event the day before became the target of repeated attacks across many hours, with Trump calling her "arrogant" and insisting she was a Jeb Bush plant. He also amplified false claims about immigrants voting and Syrian refugees being smuggled through Mexico, lending his massive platform to unverified fear narratives while maintaining plausible deniability through retweets. - Posts analyzed: 33 - Dominant state: grandiose - Narrative arc: mixed - Aggregate rage level: 0.18 - Max danger level: elevated - Escalation detected - Hypomanic episode indicated - Sleep deprivation likely - Theme obsession: No Labels forum confrontation — a single incident of public questioning produces 6 retaliatory posts spanning 12+ hours - Claims: 45 (4 false) - Era: 2016 Campaign ## Daily Psychological Narrative: October 13, 2015 ### Location & Timezone Context Trump was in Las Vegas, Nevada (PDT / UTC-7) for the day, having held a rally there on October 12 and positioning himself to counter-program the first Democratic primary debate held that evening at the Wynn Las Vegas. All local time references below are PDT. ### Temporal Activity Map The posting day, converted to local time, reveals a striking pattern: - **8:26–8:32 PM PDT (Oct 12):** Post-Hannity interview victory lap (x_653773821200211968 through x_653775261654208512) — five rapid retweets of praise - **12:32 AM PDT:** Duplicate retweet (x_653775261654208500) - **1:53–4:43 AM PDT:** Sustained burst of ~20 posts over nearly three hours, including the day's most psychologically significant material - **~4:43–6:29 AM PDT:** Only gap exceeding 90 minutes — maximum possible sleep window of 1 hour 46 minutes - **6:29 AM–4:59 PM PDT:** Continued posting through the full day, tapering in frequency but maintaining engagement Total output: **33 posts across approximately 20.5 hours of local time**, with a maximum sleep opportunity of under two hours. --- ### I. Psychological State Tracking **Dominant State: Grandiose** The overwhelming majority of posts (approximately 25 of 33) reflect a grandiose narcissistic state characterized by supply-seeking behavior — retweeting praise, amplifying favorable polls, celebrating the SNL hosting announcement, and positioning himself as the main event even on the Democrats' debate night. The grandiosity is remarkably consistent and sustained, suggesting a baseline elevated state potentially amplified by sleep deprivation and the stimulation of his Las Vegas rally. **State Transitions:** The day's psychological topography is largely flat grandiosity punctuated by five sharp injury-response spikes, all originating from a single wound: the No Labels confrontation. 1. **Grandiose baseline** (8:26 PM – 2:23 AM PDT): Post-Hannity supply intake, immigration retweets, debate counter-programming announcement 2. **First injury irruption** (2:24 AM, x_653863869966909440): Demand that CNN and Jeb "apologize" — mixed state, rage 0.35 3. **Escalation** (3:02 AM, x_653873325450657792): "She's a Jeb intern. Jeb always gets caught, sad!" — rage 0.50 4. **Sustained mixed state** (3:40 AM, x_653882952263278592): Morning Joe pressure campaign — rage 0.40 5. **Peak injury expression** (4:39 AM, x_653897939933364224): "The arrogant young woman who questioned me in such a nasty fashion" with ALL CAPS geopolitical non-sequitur — rage 0.65, intensity 0.71 6. **Return to grandiose** (4:42 AM onward): Brief vulnerable flash about CNN bias, then sustained grandiosity through SNL announcement and debate buildup 7. **Injury recurrence** (8:52 AM, x_653961401363468288): "Plant" narrative resurfaces — rage 0.60, demonstrating incomplete processing of the narcissistic wound even after many hours The pattern reveals that grandiose supply-seeking serves as the default operating state, but the narcissistic injury from being publicly challenged by a woman (gendered significance noted) repeatedly breaches the grandiose defense, producing rapid oscillations visible even within individual posts. --- ### II. Escalation Detection **Escalation Detected: Yes — Gradual build around the No Labels injury narrative** | Time (PDT) | Post ID | Content Summary | Rage | Intensity | |---|---|---|---|---| | 2:24 AM | x_653863869966909440 | CNN and Jeb apologize demand | 0.35 | 0.42 | | 3:02 AM | x_653873325450657792 | "She's a Jeb intern" | 0.50 | 0.55 | | 3:40 AM | x_653882952263278592 | Morning Joe operative claim | 0.40 | 0.44 | | 4:39 AM | x_653897939933364224 | "Arrogant young woman" ALL CAPS | **0.65** | **0.71** | | 8:52 AM | x_653961401363468288 | "Plant" during speech | 0.60 | 0.68 | The escalation trajectory is **gradual**, building over approximately 6.5 hours from initial injury acknowledgment to peak expression. Notably, the peak occurs at 4:39 AM — deep in a sleep-deprived early morning, when executive function and affect regulation are at their weakest. The post-gap recurrence at 8:52 AM (after the only possible sleep window) suggests the injury was not resolved by rest but rather continued to activate upon waking. **Proportionality Assessment:** The rage is disproportionate to the trigger. A pointed question at a public political forum — an entirely routine occurrence in presidential campaigning — produced a multi-post, multi-hour retaliatory campaign targeting a private individual to an audience of millions. The escalation from "she asked me a tough question" to "she is an arrogant planted operative and her boss can't handle Russia and China" represents a characteristic inflation of personal slight into geopolitical narrative. --- ### III. Theme Analysis **Dominant Themes:** 1. **Self-promotion / Narcissistic Supply** (frequency: ~20 posts) — The day's backbone. Retweets of praise, poll amplification, SNL announcement, debate counter-programming hype. Posts: x_653773821200211968, x_653774013798461440, x_653774646064627712, x_653775261654208512, x_653856168402681856, x_653858682808205312, x_653870190510387200, x_653871839542947840, x_653872777959735296, x_653898765066178560, x_653925585585053696, x_653927034582925312, x_653950669708259328, x_653957796778610690, x_653968775398748160, x_653987065844113408, x_654013247931174912, x_654037908526100481, x_654083708962631681, x_654083953759002624. 2. **No Labels Injury / "Plant" Narrative** (frequency: 5 posts) — Obsessive return to a single narcissistic wound. Posts: x_653863869966909440, x_653873325450657792, x_653882952263278592, x_653897939933364224, x_653961401363468288 (plus duplicates x_653897939933364200). 3. **Democratic Debate Counter-Programming** (frequency: 6 posts) — Strategic insertion as the more compelling alternative to the official political event. Posts: x_653868764094722048, x_653870190510387200, x_653950669708259328, x_653898481501872128, x_654083708962631681, x_654083953759002624. 4. **Immigration Fear Amplification** (frequency: 2 posts) — High-impact false/misleading claims about immigrants and refugees, amplified via deniable retweet mechanism. Posts: x_653774823483703297, x_653859107372408832. 5. **Rival Devaluation** (frequency: 3 posts) — Jeb Bush as primary target (5 mentions across plant narrative + puppet framing), Rubio as secondary target (Adelson puppet). Posts: x_653884577300267008, x_653897939933364224, x_653961401363468288. **Theme Evolution:** The day begins with pure supply intake (post-Hannity praise), transitions into immigration alarm and tactical counter-programming in the deep-night hours, becomes dominated by the No Labels injury response from 2:24–4:43 AM, resets to supply-seeking and self-promotion after the brief rest gap, and closes with debate anticipation and CNN validation. The injury theme operates as a persistent undertow beneath the grandiose surface. --- ### IV. Contradiction Detection 1. **Debate Interest Contradiction:** - x_653868764094722048: "even though I expect it to be a very boring two hours" - x_653950669708259328: "Everybody's talking about my doing twitter during the likely very boring debate tonight" - vs. x_654083953759002624: Retweets CNN's coverage of his live-tweeting with evident satisfaction The "boring" framing is contradicted by the sustained, excited engagement with the debate as a platform. The devaluation is strategic (diminishing rivals) rather than genuine (he clearly considers it a major opportunity). **Severity: minor** — transparent rhetorical device rather than genuine cognitive contradiction. 2. **No Labels Questioner Identity Shifting:** - x_653873325450657792: "She's a Jeb intern" - x_653882952263278592: "political operative" - x_653897939933364224: "a Jeb staffer" - x_653961401363468288: a "plant" The woman's designation escalates from "intern" to "staffer" to "operative" to "plant" across the day, each iteration increasing the implied conspiracy without additional evidence. **Severity: moderate** — reveals narrative construction in real-time, with facts subordinated to emotional need. --- ### V. Hypomanic Indicators **Post Frequency:** 33 posts in a single UTC day. Trump's 2015 average was approximately 12-18 posts per day, placing this at approximately the **85th-90th percentile** of daily output. **Time Distribution:** - Posts between midnight and 5 AM local time: ~20 posts - Earliest post (local): 8:26 PM PDT Oct 12 (or 12:32 AM Oct 13 if excluding prior evening) - Latest post (local): 4:59 PM PDT Oct 13 - Maximum sleep window: **1 hour 46 minutes** (4:43 AM – 6:29 AM PDT) **Sleep Deprivation Assessment:** **Almost certain.** The posting pattern leaves a maximum sleep window under two hours, and the gap may not represent sleep at all — it could reflect a brief pause for other activities. The sustained high-frequency output through the deepest circadian trough (2–5 AM) with no apparent fatigue in content quality is consistent with an activated/hypomanic state rather than normal wakefulness. **Hypomanic Episode Threshold Assessment:** **Likely met.** Key indicators present: - Markedly decreased need for sleep (posting through the night with minimal interruption) - Increased goal-directed activity (coordinated counter-programming campaign, multi-target attack narrative, simultaneous supply management) - Pressured communication (high volume, rapid-fire posting) - Inflated self-regard (persistent grandiosity, "everybody's talking about me" framing) - Excessive involvement in activities with potential for painful consequences (amplifying false claims, targeting a private individual at 3-4 AM) **Mitigating considerations:** Trump was on the campaign trail in a high-stimulation environment (post-rally, debate night), which provides contextual explanation for elevated activity. His 2015 baseline included frequent late-night posting. However, the combination of volume, duration, and sleep deprivation on this particular day exceeds even his elevated baseline. --- ### VI. Narrative Arc: Mixed The day defies a single narrative classification. Two competing arcs run simultaneously: **Grandiose/Triumphant Arc:** Trump leads in Connecticut polls, announces SNL hosting gig, CNN covers his debate live-tweeting plans, followers shower praise — the ascendant candidate whose mere Twitter commentary overshadows the official Democratic event. This arc is dominant by post count. **Contamination Arc:** A routine public challenge at No Labels festers into a multi-hour, multi-post retaliatory campaign. What should be a purely triumphant day (leading polls, cultural validation via SNL, dominating debate coverage) is repeatedly contaminated by the inability to process a narcissistic wound. The injury breaches the grandiose surface five times across twelve hours, and the 4:39 AM ALL CAPS eruption represents the day's true emotional peak — not the SNL announcement or the poll lead. The **mixed** classification reflects this dual structure: outward triumphalism persistently undermined by inner injury, with neither fully resolving. --- ### VII. Event Correlation **1. First Democratic Presidential Debate (Las Vegas, CNN)** - **Reaction Type:** Dismissive/Amplifying hybrid - **Response Posts:** x_653868764094722048, x_653870190510387200, x_653898481501872128, x_653950669708259328, x_654083708962631681, x_654083953759002624 - **Analysis:** Trump cannot allow a major political event to occur without inserting himself as the more compelling alternative. The strategy is simultaneously dismissive ("very boring") and amplifying (building anticipation for his commentary, celebrating CNN's coverage of his live-tweeting). The debate itself is instrumentalized as a platform for Trump's counter-programming rather than engaged with substantively. **2. No Labels Forum (Prior Day, New Hampshire)** - **Reaction Type:** Defensive → Offensive - **Response Posts:** x_653863869966909440, x_653873325450657792, x_653882952263278592, x_653897939933364224, x_653897939933364200, x_653961401363468288 - **Analysis:** The prior day's public challenge produces the day's most psychologically rich content. Initial response is defensive (demanding apology), transitioning to offensive (delegitimizing the questioner, attacking Jeb Bush). The twelve-hour sustained response to a single incident is disproportionate and clinically significant. **3. Non-Responses:** - The Ankara bombing, Israel-Palestine violence escalation, Taliban seizure of Kunduz, and ongoing Ebola crisis received zero engagement. The selective amplification of a mostly-false Syrian refugee claim (x_653774823483703297) while ignoring the same day's actual mass-casualty event involving terrorism (Ankara) is psychologically and rhetorically revealing: Muslim populations are engaged only as threat objects, never as victims. --- ### VIII. Danger Assessment **Maximum Danger Level: Elevated** (4 posts) **Danger Post Analysis:** 1. **x_653774823483703297** (Syrian Muslims "escorted" through Mexico): Amplifies a mostly-false conspiracy narrative targeting a religious/ethnic group, framing them as covert invaders and government as complicit. Stochastic pattern partially present: target population named, specific geographic locations cited, institutional failure framed, but no explicit call to action. 2. **x_653859107372408832** (California "illegals" voting): Amplifies a materially false claim about undocumented immigrants voting, combining dehumanizing language with electoral-integrity panic. Documented links between this narrative family and real-world voter intimidation. 3. **x_653882952263278592** (Morning Joe "operative" pressure): Coordinated campaign to direct audience attention at a private individual through media intermediaries. Lower direct danger but contributes to the day's targeting pattern. 4. **x_653897939933364200** ("Arrogant young woman" duplicate): Direct targeting of a private individual with inflammatory language to a multi-million follower audience. Foreseeable harassment risk. **Stochastic Terrorism Pattern Assessment:** The day presents a **partial but not fully realized** stochastic pattern. Immigration-fear posts name target populations and imply government complicity, and the private-individual targeting creates foreseeable harassment cascades. However, no explicit incitement, calls to action, or dehumanization sufficient to meet the full pattern threshold are present. The danger is structural (audience-directed attention at named targets) rather than explicit. --- ### IX. Cognitive Concerns **Aggregate Assessment:** No significant cognitive deterioration relative to 2015 baseline. **Markers observed:** - Non-sequitur logical leaps (staffer identity → geopolitical competence) appear in injury-response posts but are consistent with rhetorical strategy rather than cognitive impairment - ALL CAPS usage in peak-rage post (x_653897939933364224) indicates emotional dysregulation but not cognitive decline - Sustained coherent output across 33 posts despite severe sleep deprivation suggests intact baseline cognitive function - The narrative construction around the "plant" claim, while factually dubious, demonstrates intact (if misdirected) strategic thinking **Complexity Trend:** Stable. Post complexity does not meaningfully vary across the day despite the sleep deprivation. Morning posts are comparable in structure and vocabulary to deep-night posts. **Sleep-Deprivation Specific Concerns:** The 2-4 AM cluster includes the day's most inflammatory content (false immigration claims, private-individual targeting, ALL CAPS eruption), consistent with research showing reduced impulse control and impaired judgment during circadian trough periods. The most consequential posts of the day were produced during the window of maximum cognitive vulnerability. --- ### X. Structural & Tactical Observations **The Retweet-as-Shield Technique:** Twelve of the day's 33 posts are retweets or quote-tweets of follower content. The most inflammatory claims (Syrian refugees through Mexico, illegals voting in California, No Labels woman as operative) are all delivered through this mechanism, providing technical deniability ("I didn't say it, I just shared it") while achieving maximum amplification. This is not impulsive but structurally sophisticated — a consistent information-laundering technique that recurs throughout the day. **Counter-Programming Architecture:** The debate-related posts reveal a deliberate media strategy: announce live-tweeting → devalue the event → celebrate media coverage of the announcement → position himself as the real story. By day's end, CNN is covering Trump's plan to tweet about the debate — making Trump the story within his rivals' story, a meta-narrative dominance technique. **SNL Announcement Timing:** The SNL hosting announcement (x_653987065844113408, 10:34 AM PDT) is strategically placed on the day of the Democratic debate, ensuring it competes for media oxygen with the rival party's flagship event. Whether the timing was Trump's decision or NBC's, the amplification was clearly deliberate. ### Narrative Two competing arcs run in parallel: a triumphant ascendancy narrative (leading polls, SNL hosting, dominating debate coverage) is repeatedly contaminated by an unprocessed narcissistic wound from the No Labels forum, producing a day that oscillates between grandiose self-celebration and disproportionate retaliatory rage against a private individual. Neither arc resolves — the injury persists through the final mention at 8:52 AM PDT, while the triumphant counter-programming builds toward an evening climax. ### Dominant themes - Narcissistic supply-seeking and self-promotion (1 post) - No Labels injury retaliation and plant narrative (1 post) - Democratic debate counter-programming (1 post) - Immigration fear amplification (1 post) - Rival devaluation (Jeb Bush, Marco Rubio) (1 post) ### Contradictions that day - [x_653868764094722048](https://trump.fm/post/x_653868764094722048): The Democratic debate will be very boring — only watching because fans requested it vs. [x_654083953759002624](https://trump.fm/post/x_654083953759002624): Enthusiastically retweets CNN coverage of his plan to live-tweet, clearly treating the debate as a major opportunity - [x_653873325450657792](https://trump.fm/post/x_653873325450657792): The No Labels questioner is a Jeb intern vs. [x_653897939933364224](https://trump.fm/post/x_653897939933364224): The same person is described as a Jeb staffer — designation escalates without new evidence ### Cognitive concerns - Non-sequitur logical leaps in injury-response posts (staffer identity → geopolitical competence) - Most inflammatory and consequential posts concentrated in 2-5 AM window of maximum circadian vulnerability - Sustained coherent output despite severe sleep deprivation — intact baseline function but impaired judgment on content choices ## Posts ### [x_654083953759002624](https://trump.fm/post/x_654083953759002624) X (Twitter) · 2015-10-13T23:59:01.000Z (UTC) · quotes a tweet by @CNN (the quoted words are theirs, not his) > "@CNN: .@realDonaldTrump will be live-tweeting the #DemDebate http://t.co/5OQYwGQHzu via @CNNPolitics http://t.co/7qmu8kM1u7" 2,078 likes · 1,098 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_654083953759002624.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_654083953759002624/analysis --- ### [x_654083708962631681](https://trump.fm/post/x_654083708962631681) X (Twitter) · 2015-10-13T23:58:03.000Z (UTC) · quotes a tweet by @007lLisav (the quoted words are theirs, not his) > "@007lLisav: @CNN @realDonaldTrump @CNNPolitics can't wait for his insightful & intelligent tweets." You sound like a very smart person! 1,292 likes · 556 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_654083708962631681.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_654083708962631681/analysis --- ### [x_654037908526100481](https://trump.fm/post/x_654037908526100481) X (Twitter) · 2015-10-13T20:56:03.000Z (UTC) · quotes a tweet by @seancduarte (the quoted words are theirs, not his) > "@seancduarte @TeamCavuto #Yourworld If @realDonaldTrump wins Barry Diller will move out of country. Sounds like a win, win." 2,489 likes · 992 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_654037908526100481.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_654037908526100481/analysis --- ### [x_654013247931174912](https://trump.fm/post/x_654013247931174912) X (Twitter) · 2015-10-13T19:18:03.000Z (UTC) > Live from New York- November 7th! @nbcsnl http://t.co/rfEE86Mbbp 4,059 likes · 1,920 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_654013247931174912.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_654013247931174912/analysis --- ### [x_653987065844113408](https://trump.fm/post/x_653987065844113408) X (Twitter) · 2015-10-13T17:34:01.000Z (UTC) > It was just announced that I will be hosting Saturday Night Live on Nov. 7th -- look forward to it! http://t.co/D74EQyvR0P 6,862 likes · 3,634 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653987065844113408.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653987065844113408/analysis --- ### [x_653968775398748160](https://trump.fm/post/x_653968775398748160) X (Twitter) · 2015-10-13T16:21:20.000Z (UTC) > "Exclusive--Davi: Trump, The Lion We Need" http://t.co/OYnWVnfsge 1,582 likes · 834 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653968775398748160.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653968775398748160/analysis --- ### [x_653961401363468288](https://trump.fm/post/x_653961401363468288) X (Twitter) · 2015-10-13T15:52:02.000Z (UTC) > How can Jeb Bush expect to deal with China, Russia + Iran if he gets caught doing a “plant” during my speech yesterday in NH? 4,322 likes · 2,403 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653961401363468288.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653961401363468288/analysis --- ### [x_653898765066178600](https://trump.fm/post/x_653898765066178600) X (Twitter) · 2015-10-13T15:43:09.000Z (UTC) > ""@007lLisav: @CNN @realDonaldTrump @CNNPolitics can't wait for his insightful &, intelligent tweets."" Will be so much better than CNN! 0 likes · 617 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653898765066178600.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653898765066178600/analysis --- ### [x_653897939933364200](https://trump.fm/post/x_653897939933364200) X (Twitter) · 2015-10-13T15:39:52.000Z (UTC) > The arrogant young woman who questioned me in such a nasty fashion at No Labels yesterday was a Jeb staffer! HOW CAN HE BEAT RUSSIA &, CHINA? 0 likes · 1,880 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653897939933364200.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653897939933364200/analysis --- ### [x_653957796778610690](https://trump.fm/post/x_653957796778610690) X (Twitter) · 2015-10-13T15:37:43.000Z (UTC) > So nice, thank you very much. https://t.co/OmbuWUHA0m 1,658 likes · 768 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653957796778610690.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653957796778610690/analysis --- ### [x_653950669708259328](https://trump.fm/post/x_653950669708259328) X (Twitter) · 2015-10-13T15:09:24.000Z (UTC) > Everybody's talking about my doing twitter during the likely very boring debate tonight. @realDonaldTrump #DemDebate 4,572 likes · 2,099 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653950669708259328.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653950669708259328/analysis --- ### [x_653927034582925312](https://trump.fm/post/x_653927034582925312) X (Twitter) · 2015-10-13T13:35:29.000Z (UTC) > Very honored: "Trump Is Tops As Clinton Drops In Connecticut Primaries, Quinnipiac University Poll Finds" > http://t.co/6d8WiLa8fB 2,372 likes · 1,298 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653927034582925312.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653927034582925312/analysis --- ### [x_653925585585053696](https://trump.fm/post/x_653925585585053696) X (Twitter) · 2015-10-13T13:29:43.000Z (UTC) · quotes a tweet by @Ma1973sk (the quoted words are theirs, not his) > "@Ma1973sk I can't wait for @realDonaldTrump live tweets during Dem debate tonight. Won't watch debate but will watch Trump's Twitter" 2,363 likes · 1,207 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653925585585053696.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653925585585053696/analysis --- ### [x_653898765066178560](https://trump.fm/post/x_653898765066178560) X (Twitter) · 2015-10-13T11:43:09.000Z (UTC) · quotes a tweet by @007lLisav (the quoted words are theirs, not his) > "@007lLisav: @CNN @realDonaldTrump @CNNPolitics can't wait for his insightful & intelligent tweets." Will be so much better than CNN! 1,502 likes · 718 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653898765066178560.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653898765066178560/analysis --- ### [x_653898481501872128](https://trump.fm/post/x_653898481501872128) X (Twitter) · 2015-10-13T11:42:01.000Z (UTC) · quotes a tweet by @ElviNichols (the quoted words are theirs, not his) > "@ElviNichols: Will @CNN be tough as they were with @realDonaldTrump ? Not sure..https://t.co/NNnFMXrXMj" No way, they will be very gentle! 1,277 likes · 650 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653898481501872128.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653898481501872128/analysis --- ### [x_653897939933364224](https://trump.fm/post/x_653897939933364224) X (Twitter) · 2015-10-13T11:39:52.000Z (UTC) > The arrogant young woman who questioned me in such a nasty fashion at No Labels yesterday was a Jeb staffer! HOW CAN HE BEAT RUSSIA & CHINA? 3,971 likes · 2,294 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653897939933364224.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653897939933364224/analysis --- ### [x_653884577300267008](https://trump.fm/post/x_653884577300267008) X (Twitter) · 2015-10-13T10:46:46.000Z (UTC) > Sheldon Adelson is looking to give big dollars to Rubio because he feels he can mold him into his perfect little puppet. I agree! 3,000 likes · 1,970 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653884577300267008.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653884577300267008/analysis --- ### [x_653882952263278592](https://trump.fm/post/x_653882952263278592) X (Twitter) · 2015-10-13T10:40:19.000Z (UTC) · quotes a tweet by @jonygitar (the quoted words are theirs, not his) > "@jonygitar: #morningjoe @morningmika @Morning_Joe @JoeNBC Surely you read reports that woman at no labels event was a pol. operative?" 1,268 likes · 660 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653882952263278592.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653882952263278592/analysis --- ### [x_653873325450657792](https://trump.fm/post/x_653873325450657792) X (Twitter) · 2015-10-13T10:02:03.000Z (UTC) · quotes a tweet by @Politics_Reddit (the quoted words are theirs, not his) > "@Politics_Reddit: That feminist who called out Trump last night? She's a Jeb intern. http://t.co/aRroatryt6" Jeb always gets caught, sad! 2,600 likes · 1,905 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653873325450657792.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653873325450657792/analysis --- ### [x_653872777959735296](https://trump.fm/post/x_653872777959735296) X (Twitter) · 2015-10-13T09:59:53.000Z (UTC) · quotes a tweet by @ryan_padraic (the quoted words are theirs, not his) > "@ryan_padraic: Get the popcorn, Donald Trump plans to live-tweet the #CNNDebate. #DemDebate https://t.co/RNNqqdyXDP" 1,901 likes · 1,051 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653872777959735296.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653872777959735296/analysis --- ### [x_653871839542947840](https://trump.fm/post/x_653871839542947840) X (Twitter) · 2015-10-13T09:56:09.000Z (UTC) · quotes a tweet by @farrightgregy (the quoted words are theirs, not his) > "@farrightgregy: Dan Rather: Donald Trump Could Be Our Next President http://t.co/0OyeDcOfSE" I agree - thanks Dan! 1,542 likes · 721 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653871839542947840.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653871839542947840/analysis --- ### [x_653870190510387200](https://trump.fm/post/x_653870190510387200) X (Twitter) · 2015-10-13T09:49:36.000Z (UTC) > Someone should inform @CNN that, despite spending millions of $'s on graphics, it is not the Democratic Debate, rather the Democrat (s) D! 2,138 likes · 947 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653870190510387200.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653870190510387200/analysis --- ### [x_653868764094722048](https://trump.fm/post/x_653868764094722048) X (Twitter) · 2015-10-13T09:43:56.000Z (UTC) > At the request of many, and even though I expect it to be a very boring two hours, I will be covering the Democrat Debate live on twitter! 8,172 likes · 4,404 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653868764094722048.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653868764094722048/analysis --- ### [x_653863869966909440](https://trump.fm/post/x_653863869966909440) X (Twitter) · 2015-10-13T09:24:29.000Z (UTC) · quotes a tweet by @deqwik2 (the quoted words are theirs, not his) > "@deqwik2: @SaraMurray @realDonaldTrump Sorry link above not working. Here's good link http://t.co/0DoJeMrzC9" @CNN and Jeb - apologize! 1,061 likes · 694 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653863869966909440.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653863869966909440/analysis --- ### [x_653859107372408832](https://trump.fm/post/x_653859107372408832) X (Twitter) · 2015-10-13T09:05:33.000Z (UTC) · quotes a tweet by @Parker_Votes (the quoted words are theirs, not his) > "@Parker_Votes: California Gov. Jerry Brown signs bill allowing illegals right to VOTE using drivers lic.ID. @realDonaldTrump 1,113 likes · 925 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653859107372408832.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653859107372408832/analysis --- ### [x_653858682808205312](https://trump.fm/post/x_653858682808205312) X (Twitter) · 2015-10-13T09:03:52.000Z (UTC) · quotes a tweet by @TopherCarlton (the quoted words are theirs, not his) > "@TopherCarlton: .@JebBush Sickening attempt. I hope .@realDonaldTrump jumps another 10 points. #WakeUpAmerica https://t.co/GT86RlB0t3" 1,178 likes · 782 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653858682808205312.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653858682808205312/analysis --- ### [x_653856168402681856](https://trump.fm/post/x_653856168402681856) X (Twitter) · 2015-10-13T08:53:53.000Z (UTC) · quotes a tweet by @codyave (the quoted words are theirs, not his) > "@codyave: @drudgereport @BreitbartNews @Writeintrump "You Can't Stump the Trump" https://t.co/0xITB7XeJV http://t.co/iF6S05se2w" 11,075 likes · 8,100 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653856168402681856.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653856168402681856/analysis --- ### [x_653775261654208500](https://trump.fm/post/x_653775261654208500) X (Twitter) · 2015-10-13T07:32:23.000Z (UTC) > ""@BackOnTrackUSA: @seanhannity You are looking &, sounding more Presidential everyday. The country is ready for you to #MakeAmericaGreatAgain 0 likes · 749 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653775261654208500.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653775261654208500/analysis --- ### [x_653775261654208512](https://trump.fm/post/x_653775261654208512) X (Twitter) · 2015-10-13T03:32:23.000Z (UTC) · quotes a tweet by @BackOnTrackUSA (the quoted words are theirs, not his) > "@BackOnTrackUSA: @seanhannity You are looking & sounding more Presidential everyday. The country is ready for you to #MakeAmericaGreatAgain 1,884 likes · 901 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653775261654208512.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653775261654208512/analysis --- ### [x_653774823483703297](https://trump.fm/post/x_653774823483703297) X (Twitter) · 2015-10-13T03:30:39.000Z (UTC) · quotes a tweet by @mimi_saulino (the quoted words are theirs, not his) > "@mimi_saulino: @seanhannity @FoxNews Syrian Muslims escorted into U.S. through Mexico. Now arriving to Oklahoma and Kansas! Congress?" 1,560 likes · 1,223 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653774823483703297.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653774823483703297/analysis --- ### [x_653774646064627712](https://trump.fm/post/x_653774646064627712) X (Twitter) · 2015-10-13T03:29:56.000Z (UTC) · quotes a tweet by @kyredblood (the quoted words are theirs, not his) > "@kyredblood: @realDonaldTrump Great Fox interview" @seanhannity 1,034 likes · 436 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653774646064627712.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653774646064627712/analysis --- ### [x_653774013798461440](https://trump.fm/post/x_653774013798461440) X (Twitter) · 2015-10-13T03:27:26.000Z (UTC) · quotes a tweet by @heavenlyitalian (the quoted words are theirs, not his) > "@heavenlyitalian: @seanhannity @FoxNews time we had a businessman in the WH,who can bring back jobs to America and restore the middle class 1,598 likes · 710 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653774013798461440.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653774013798461440/analysis --- ### [x_653773821200211968](https://trump.fm/post/x_653773821200211968) X (Twitter) · 2015-10-13T03:26:40.000Z (UTC) · quotes a tweet by @GregWescott (the quoted words are theirs, not his) > "@GregWescott: @realDonaldTrump @seanhannity @FoxNews Another great interview. You were point on .... As good as it gets!" Thanks! 1,184 likes · 515 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_653773821200211968.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_653773821200211968/analysis ## 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 day as JSON: https://trump.fm/api/posts/date/2015-10-13 - Day analysis as JSON: https://trump.fm/api/analysis/date/2015-10-13 - The posts alone, without the day analysis: https://trump.fm/date/2015-10-13.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`._