# Posts from Wednesday, November 1, 2017 18 posts on 2017-11-01. ## Day analysis Day analysis page: https://trump.fm/date/2017-11-01/analysis _Machine-generated by trump.fm on 2026-03-12T01:14:51.510Z (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._ **NYC Terror Attack Becomes Launchpad for Day-Long Immigration Scapegoating Campaign** Trump's day was consumed by the aftermath of the Halloween truck attack in New York City. Brief expressions of condolence gave way to an aggressive campaign blaming Chuck Schumer for the Diversity Visa program and demanding tougher immigration policies. The middle of the day brought a pivot to tax cut messaging and routine presidential duties, but the evening closed with the day's sharpest post — a heated demand to end chain migration that characterized immigrant families as potentially "truly evil." The overall arc was one of steady politicization of a national tragedy, with grief instrumentalized into policy ammunition. - Posts analyzed: 18 - Dominant state: grandiose - Narrative arc: contamination - Aggregate rage level: 0.25 - Max danger level: elevated - Theme obsession: NYC terror attack / immigration policy weaponization - Claims: 15 (6 false) - Era: First Year ## Daily Psychological Digest: November 1, 2017 ### Location & Timezone Context Trump was at the White House in Washington, D.C. on this date. All analysis uses Eastern Daylight Time (UTC-4), which was still in effect (DST ended November 5, 2017). Converted local times span from 9:22 PM EDT (October 31) to 7:03 PM EDT (November 1). --- ### I. Psychological State Tracking **Dominant State: Grandiose (uniform throughout)** All 18 posts were assessed as grandiose. However, the *flavor* of grandiosity shifted meaningfully across the day: - **Evening of Oct 31 (9:22–10:57 PM EDT):** Reactive grandiosity — the strongman responding to crisis. Posts x_925474979914887200 and x_925490503218589700 deploy the Warrior archetype, positioning Trump as the decisive protector against existential threat. The grandiosity here is *defensive* — asserting control in the face of a chaotic attack. - **Morning of Nov 1 (7:24–7:40 AM EDT):** Weaponized grandiosity — the political operator converting tragedy into ammunition. The three-post Fox & Friends cluster (x_925684982307348480, x_925686558304464897, x_925688931823300609) channels the attack into a sustained assault on Chuck Schumer and the Diversity Visa program. Grandiosity manifests as omniscient judgment — Trump as the one who sees the "real" cause. - **Midday (9:30 AM–6:03 PM EDT):** Presidential grandiosity — performative statesmanship. Posts x_925716689064427520 through x_925845770724618240 adopt the expected ceremonial tone: mourning hashtags, calls to officials, thanking first responders, touting judicial appointments. Low intensity, low authorship scores suggest staff-driven content. - **Evening (7:03 PM EDT):** Escalated grandiosity — the final post (x_925860866767163393) represents the day's rhetorical peak, with ALL CAPS demands and categorical dehumanization of immigrant families. No state transitions were detected (grandiose throughout), but the modulation within the grandiose frame is clinically significant. The state remained consistent; the *deployment* of that state evolved strategically. --- ### II. Escalation Analysis **Escalation Detected: No (classic rage spiral absent)** The day does not exhibit a continuous escalation pattern. Instead, rage appears in episodic bursts correlated with immigration-related content: | Time (EDT) | Post ID | Rage | Intensity | |---|---|---|---| | 9:30 PM Oct 31 | x_925474979914887200 | 0.60 | 0.65 | | 10:31 PM Oct 31 | x_925490503218589700 | 0.50 | 0.55 | | 7:03 PM Nov 1 | x_925860866767163393 | 0.60 | 0.70 | The intensity profile is U-shaped rather than ascending: high reactivity at the edges (evening crisis response, evening policy demand) with a calm plateau in between. The final post (intensity 0.70) is the day's peak, but it arrives after a 12-hour cool-down period, suggesting strategic deployment rather than loss of emotional regulation. What *does* escalate is the rhetorical severity: the day begins with "NOT IN THE U.S.A.!" (reactive alarm), progresses through blaming a named senator (political targeting), and culminates in characterizing immigrant families as "truly evil" (categorical dehumanization). This represents a deepening of scapegoating rhetoric even without a continuous emotional escalation. --- ### III. Theme Analysis **Dominant Themes:** 1. **NYC Terror Attack & Immigration Policy (10 posts, 56%):** The day's gravitational center. The attack is referenced in condolences, political attacks, and policy demands across three distinct posting clusters. The theme absorbs and recontextualizes itself: initial shock → condolences → blame attribution → policy demands → dehumanization. 2. **Presidential Condolences & Ceremonial Duty (6 posts, 33%):** Standard mourning-in-office content. Notably, these posts have the lowest authorship scores of the day (0.10–0.20), suggesting staff composition. They serve as structural punctuation between the more psychologically revealing immigration posts. 3. **Tax Reform (3 posts, 17%):** A secondary theme that appears midday (x_925533433597775873, x_925739132579729420, x_925740081805217792). The pivot from terror to taxes at 10:59 AM EDT is jarring but consistent with Trump's pattern of maintaining multiple narrative threads. The "Biggest Tax Cuts EVER" superlative echoes the grandiose framing applied to other topics. 4. **Judicial Appointments (2 posts, 11%):** Brief evening boast about appointment pace (x_925845735089889280, x_925845770724618240). Low intensity, supply-seeking function. **Theme Obsession: Yes.** The immigration/terror nexus dominates over half the day's output and returns repeatedly after interruptions for other topics. The topic migrates across three distinct policy targets (Diversity Visa → merit-based immigration → chain migration), suggesting active ideational perseveration rather than simple reactivity. --- ### IV. Contradiction Detection **Contradictions Identified:** 1. **ISIS Framing vs. Diversity Visa Acknowledgment (Moderate):** - Post x_925490503218589700 (10:31 PM): "We must not allow ISIS to return, or enter, our country" — implies the attacker was ISIS-affiliated and the threat is about ISIS infiltration. - Post x_925684982307348480 (7:24 AM): "The terrorist came into our country through what is called the 'Diversity Visa Lottery Program'" — correctly identifies the entry mechanism, which is unrelated to ISIS returning. - The attacker (Sayfullo Saipov) entered via the DVL in 2010 as an Uzbek national, not as an ISIS operative. The ISIS frame in the earlier post was a rhetorical conflation that the later post implicitly contradicts. 2. **Condolence Sincerity vs. Political Weaponization (Minor):** - Post x_925497025386500100 (10:57 PM): "My thoughts, condolences and prayers to the victims and families" — conventional empathic framing. - Post x_925688931823300609 (7:40 AM): "Senator Chuck Schumer helping to import Europe's problems" — uses the same victims' suffering as political ammunition against a named opponent less than 9 hours later. - Not a factual contradiction but a tonal contradiction that undermines the sincerity of the condolences. --- ### V. Hypomanic Indicators **Assessment: No hypomanic episode detected.** - **Post count:** 18 posts across the day. Above Trump's typical baseline (8–12 tweets/day in this period) but consistent with crisis-day output. Estimated 75th percentile. - **Time span (local):** 9:22 PM EDT (Oct 31) to 7:03 PM EDT (Nov 1) — approximately 21.5 hours of posting activity. - **Sleep window:** Last post 10:57 PM EDT → first post 7:24 AM EDT = 8 hours 27 minutes. Adequate sleep opportunity. - **Posting gaps:** 8.5-hour overnight gap; 4.3-hour afternoon gap (11:03 AM–3:26 PM). Normal diurnal rhythm. - **Cluster patterns:** Evening cluster (5 posts in 95 min), morning Fox cluster (3 posts in 16 min), afternoon/evening distribution (8 posts across 9.5 hours). The Fox cluster shows rapid-fire engagement but is typical of his live-tweeting pattern. No indicators of sleep deprivation or pressured speech beyond normal crisis-day elevation. --- ### VI. Narrative Arc **Classification: Contamination** The day follows a classic contamination arc: a genuine moment of national tragedy and solidarity is progressively contaminated by political exploitation. **Phase 1 — Reactive Crisis Response (9:22–10:57 PM EDT Oct 31):** Initial posts combine alarm ("NOT IN THE U.S.A.!"), strongman posturing ("I have just ordered Homeland Security..."), misleading threat framing (ISIS), and conventional condolences. The emotional register is reactive but contained. **Phase 2 — Political Weaponization (7:24–7:40 AM EDT Nov 1):** The morning Fox & Friends cluster transforms the attack into a three-pronged political offensive: blame Schumer for the Diversity Visa, demand merit-based immigration, amplify a military commentator's scapegoating of the senator. This is the contamination inflection point — grief becomes ammunition. **Phase 3 — Presidential Performance (9:30 AM–6:03 PM EDT):** A long plateau of low-intensity statesmanship: hashtag solidarity, calls to state officials, thanking first responders, pivoting to tax cuts and judicial appointments. This period suggests either staff management of the feed or a deliberate cooling strategy. **Phase 4 — Rhetorical Escalation (7:03 PM EDT):** The final post shatters the calm plateau with the day's highest intensity (0.70). The target has shifted from the Diversity Visa to chain migration — a policy expansion that uses the attack to justify broader immigration restrictions. The characterization of immigrant family members as "truly evil" represents the day's most dehumanizing rhetoric and its rhetorical climax. The contamination arc is notable for its strategic quality: the politicization doesn't appear impulsive but rather follows a recognizable exploitation playbook — express condolences, identify a villain, propose the solution, escalate the frame. --- ### VII. Event Correlation **Primary Triggering Event: NYC Halloween Truck Attack (October 31, 2017)** Sayfullo Saipov drove a rented truck down a bike path along the West Side Highway in Lower Manhattan, killing 8 and injuring 11. ISIS claimed responsibility; Saipov had entered the U.S. in 2010 via the Diversity Visa Lottery Program. - **Reaction type:** Initially defensive (crisis response), rapidly transitioning to offensive (political weaponization against Schumer and immigration policy). - **Response posts:** At least 10 of 18 posts directly reference or exploit the attack. - **Proportionality:** The policy demands (ending DVL, ending chain migration, extreme vetting) are disproportionate to the event — one attacker is used to justify categorical condemnation of entire immigration programs and immigrant families. **Secondary Context: Tax Reform Legislation** The House was working on the Tax Cuts and Jobs Act. Three posts reference tax cuts, appearing to maintain this narrative thread even on a crisis day. --- ### VIII. Danger Assessment **Maximum Danger Level: Elevated** Four posts received elevated danger ratings: - x_925474979914887200: "NOT IN THE U.S.A.!" — reactive alarm with othering implications - x_925490503218589700: ISIS conflation and categorical threat framing - x_925688931823300609: Named political opponent (Schumer) blamed for "importing" terrorism - x_925860866767163393: Immigrant families characterized as "truly evil" **Stochastic Terrorism Pattern: Not fully present but precursor elements observed.** The Schumer targeting in posts x_925684982307348480 and x_925688931823300609 attributes terrorist violence to a named political figure, which can function as implicit targeting. However, the posts primarily channel energy toward policy action (ending DVL, merit-based immigration) rather than personal action against Schumer. The dehumanization of immigrant families in x_925860866767163393 contributes to a broader atmosphere of hostility but lacks specific targeting. The pattern shows *elements* of stochastic terrorism (named enemy + crisis exploitation + dehumanization) without meeting the full threshold of direct or implied incitement. --- ### IX. Cognitive Markers **Aggregate Concerns:** - **Categorical conflation:** Merging distinct threat categories (ISIS fighters, diversity visa entrants, chain migration families) into a single undifferentiated enemy. This reflects either strategic simplification or genuine cognitive collapse of categories under emotional pressure. - **Splitting:** Binary good/evil framing applied to entire population categories. Immigrant families are "truly evil" vs. American victims who deserve protection. - **Displacement:** Attack rage redirected from the actual perpetrator (already in custody) to systemic targets (immigration policy, Schumer) where it can be more usefully deployed politically. - **Premature closure:** "After defeating them in the Middle East" declares victory over ISIS while the campaign was still ongoing. **Complexity Trend: Stable (low throughout).** Arguments remain at a simple cause-effect level across all 18 posts. No posts demonstrate nuanced policy reasoning or acknowledgment of counterarguments. This is consistent with the platform and the crisis context but is notable given the policy complexity of the issues invoked. --- ### X. Authorship Patterns A notable split exists between likely self-authored and staff-authored content: - **High authorship (0.70–0.90):** Immigration/attack posts — the politically aggressive content bears Trump's stylistic fingerprints (ALL CAPS, exclamation marks, superlatives, named enemies). - **Low authorship (0.10–0.20):** Condolence and ceremonial posts — boilerplate mourning language, hashtags, and official coordination posts that read as staff-produced. This bifurcation reinforces the contamination arc interpretation: the "presidential" content is largely performative staff output, while Trump's authentic voice emerges in the politically weaponized posts. The most personally authored content is also the most psychologically and rhetorically extreme. --- ### Summary Metrics - **Total posts:** 18 - **Posts with rage:** 3 (17%) - **Average intensity:** 0.33 - **Peak intensity:** 0.70 (x_925860866767163393) - **Elevated danger posts:** 4 - **Estimated authorship (mean):** 0.50 - **Sleep window:** ~8.5 hours (adequate) - **Posting hours (local):** 9:22 PM – 7:03 PM (next day) ### Narrative A classic contamination arc: genuine national tragedy and initial condolences are progressively overtaken by political weaponization. The day moves from reactive crisis alarm through strategic blame-assignment (Schumer, Diversity Visa), a calm presidential plateau, and culminates in the day's most dehumanizing rhetoric against immigrant families. Grief is converted to political ammunition across four distinct phases. ### Dominant themes - NYC Terror Attack & Immigration Policy (1 post) - Presidential Condolences & Ceremony (1 post) - Tax Reform (1 post) - Judicial Appointments (1 post) ### Contradictions that day - [x_925490503218589700](https://trump.fm/post/x_925490503218589700): We must not allow ISIS to return, or enter, our country — implying the attacker was ISIS-affiliated or part of an ISIS infiltration threat vs. [x_925684982307348480](https://trump.fm/post/x_925684982307348480): The terrorist came into our country through the Diversity Visa Lottery Program — correctly identifying entry mechanism unrelated to ISIS returning - [x_925497025386500100](https://trump.fm/post/x_925497025386500100): My thoughts, condolences and prayers to the victims and families — expressing genuine empathy and solidarity vs. [x_925688931823300609](https://trump.fm/post/x_925688931823300609): Senator Chuck Schumer helping to import Europe's problems — using the same victims' suffering as political ammunition against a named opponent hours later ### Cognitive concerns - Categorical conflation: merging distinct threat categories (ISIS fighters, diversity visa entrants, chain migration families) into a single undifferentiated enemy - Splitting: binary good/evil framing applied to entire immigrant population categories - Displacement: attack rage redirected from perpetrator in custody to systemic targets (immigration policy, Schumer) for political utility - Premature closure: declaring ISIS defeated while military campaign was still ongoing ## Posts ### [x_925860866767163393](https://trump.fm/post/x_925860866767163393) X (Twitter) · 2017-11-01T23:03:26.000Z (UTC) > CHAIN MIGRATION must end now! Some people come in, and they bring their whole family with them, who can be truly evil. NOT ACCEPTABLE! https://t.co/PQGeTTdRtX 76,452 likes · 22,322 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925860866767163393.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925860866767163393/analysis --- ### [x_925845770724618240](https://trump.fm/post/x_925845770724618240) X (Twitter) · 2017-11-01T22:03:27.000Z (UTC) > @SenateMajLdr @SenateGOP ...and Appeals Court Judges at a record clip! Our courts are rapidly changing for the better! 35,005 likes · 7,193 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925845770724618240.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925845770724618240/analysis --- ### [x_925845735089889280](https://trump.fm/post/x_925845735089889280) X (Twitter) · 2017-11-01T22:03:19.000Z (UTC) > Thanks to @SenateMajLdr McConnell and the @SenateGOP we are appointing high-quality Federal District... 42,572 likes · 8,476 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925845735089889280.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925845735089889280/analysis --- ### [x_925833462426292226](https://trump.fm/post/x_925833462426292226) X (Twitter) · 2017-11-01T21:14:33.000Z (UTC) > Thank you to the GREAT NYPD, First Responders and all govt officials for having handled the terrible West Side attack so professionally! https://t.co/imPIdOzjAn 57,483 likes · 12,354 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925833462426292226.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925833462426292226/analysis --- ### [x_925818338172915712](https://trump.fm/post/x_925818338172915712) X (Twitter) · 2017-11-01T20:14:27.000Z (UTC) > @NYGovCuomo @NYCMayor ...fully supports any and all of their efforts with respect to the West Side attack. #NYCStrong 29,360 likes · 5,422 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925818338172915712.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925818338172915712/analysis --- ### [x_925818295462322184](https://trump.fm/post/x_925818295462322184) X (Twitter) · 2017-11-01T20:14:17.000Z (UTC) > Just spoke with @NYGovCuomo and @NYCMayor de Blasio to let them know that the federal government... 35,013 likes · 6,516 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925818295462322184.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925818295462322184/analysis --- ### [x_925806343855984647](https://trump.fm/post/x_925806343855984647) X (Twitter) · 2017-11-01T19:26:47.000Z (UTC) > We mourn the horrifying terrorist attack in NYC. All of America is praying and grieving for the families who lost their precious loved ones. https://t.co/WZFHXoJE3K 56,307 likes · 12,690 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925806343855984647.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925806343855984647/analysis --- ### [x_925740081805217792](https://trump.fm/post/x_925740081805217792) X (Twitter) · 2017-11-01T15:03:29.000Z (UTC) > ....for the Middle Class. The House and Senate should consider ASAP as the process of final approval moves along. Push Biggest Tax Cuts EVER 56,219 likes · 11,783 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925740081805217792.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925740081805217792/analysis --- ### [x_925739132579729420](https://trump.fm/post/x_925739132579729420) X (Twitter) · 2017-11-01T14:59:43.000Z (UTC) > Wouldn't it be great to Repeal the very unfair and unpopular Individual Mandate in ObamaCare and use those savings for further Tax Cuts..... 83,073 likes · 17,634 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925739132579729420.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925739132579729420/analysis --- ### [x_925716689064427520](https://trump.fm/post/x_925716689064427520) X (Twitter) · 2017-11-01T13:30:32.000Z (UTC) > #NYCStrong #USA🇺🇸 https://t.co/6K3Xw5P87d 40,093 likes · 8,926 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925716689064427520.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925716689064427520/analysis --- ### [x_925688931823300609](https://trump.fm/post/x_925688931823300609) X (Twitter) · 2017-11-01T11:40:14.000Z (UTC) > "Senator Chuck Schumer helping to import Europes problems" said Col.Tony Shaffer. We will stop this craziness! @foxandfriends 77,686 likes · 21,428 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925688931823300609.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925688931823300609/analysis --- ### [x_925686558304464897](https://trump.fm/post/x_925686558304464897) X (Twitter) · 2017-11-01T11:30:48.000Z (UTC) > We are fighting hard for Merit Based immigration, no more Democrat Lottery Systems. We must get MUCH tougher (and smarter). @foxandfriends 102,486 likes · 26,172 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925686558304464897.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925686558304464897/analysis --- ### [x_925684982307348480](https://trump.fm/post/x_925684982307348480) X (Twitter) · 2017-11-01T11:24:32.000Z (UTC) > The terrorist came into our country through what is called the "Diversity Visa Lottery Program," a Chuck Schumer beauty. I want merit based. 132,205 likes · 37,718 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925684982307348480.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925684982307348480/analysis --- ### [x_925497025386500100](https://trump.fm/post/x_925497025386500100) X (Twitter) · 2017-11-01T02:57:40.000Z (UTC) > My thoughts, condolences and prayers to the victims and families of the New York City terrorist attack. God and your country are with you! 0 likes · 20,433 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925497025386500100.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925497025386500100/analysis --- ### [x_925490503218589700](https://trump.fm/post/x_925490503218589700) X (Twitter) · 2017-11-01T02:31:45.000Z (UTC) > We must not allow ISIS to return, or enter, our country after defeating them in the Middle East and elsewhere. Enough! 0 likes · 27,947 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925490503218589700.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925490503218589700/analysis --- ### [x_925474979914887200](https://trump.fm/post/x_925474979914887200) X (Twitter) · 2017-11-01T01:30:04.000Z (UTC) > In NYC, looks like another attack by a very sick and deranged person. Law enforcement is following this closely. NOT IN THE U.S.A.! 0 likes · 19,799 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925474979914887200.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925474979914887200/analysis --- ### [x_925534445393928199](https://trump.fm/post/x_925534445393928199) X (Twitter) · 2017-11-01T01:26:22.000Z (UTC) > I have just ordered Homeland Security to step up our already Extreme Vetting Program. Being politically correct is fine, but not for this! 150,010 likes · 37,799 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925534445393928199.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925534445393928199/analysis --- ### [x_925533433597775873](https://trump.fm/post/x_925533433597775873) X (Twitter) · 2017-11-01T01:22:20.000Z (UTC) > The Republican House members are working hard (and late) toward the Massive Tax Cuts that they know you deserve. These will be biggest ever! 69,956 likes · 13,721 reposts · 0 replies · unknown views Audio narration: https://static.trump.fm/audio/x_925533433597775873.mp3 (a synthesized voice reading the post text, not a recording) Analysis: https://trump.fm/post/x_925533433597775873/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/2017-11-01 - Day analysis as JSON: https://trump.fm/api/analysis/date/2017-11-01 - The posts alone, without the day analysis: https://trump.fm/date/2017-11-01.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`._