124 parameters across 7 dimensions · 69 content pieces · 59 educators · How It Works →
| ID | Parameter | Description |
Grant Sanderson (3Blue1Brown)
The Hairy Ball Theorem
8.2M · 2.4M views · 0.29 v/f
75/124
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Adam Digital
tiktok 7480911557380132114
12K views
58/124
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Adam Digital
tiktok 7611529334670609684
39/124
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Agentic James
Instagram Reel DTTgKynEl00
64/124
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Agentic James
Instagram Reel DVP2qv2jVGX
64/124
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Ai Advantage
ai agents automations explained
424K · 14K views · 0.03 v/f
65/124
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Ai Explained
Claude Co founder Claims
407K · 69K views · 0.17 v/f
75/124
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Aishwarya Srinivasan
how to learn llms 2026
54K · 85K views · 1.56 v/f
65/124
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Alex Finn
Claude Code Lessons
137K · 38K views · 0.28 v/f
75/124
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Allie K Miller
reel DMVi8iJPwwr
59/124
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Andrej Karpathy
Intro to Large Language Models
1.3M · 3.5M views · 2.70 v/f
72/124
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Mitchell Moffit & Gregory Brown (Asapscience)
Instagram Reel
64/124
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Brand Nat
tiktok 7487957152565513490
18K views
58/124
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Codewithclaude
tiktok 7484089037146328327
3K views
58/124
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Cole Medin
cole medin
77/124
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Dani Buller
Instagram Reel DD4qkWPgzOq
64/124
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Dani Buller
Instagram Reel DTky7cZCFFv
65/124
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Dave Ebbelaar
Context Engineering for AI Agents
245K · 20K views · 0.08 v/f
75/124
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David Ondrej
web scraping ai agents power
357K · 22K views · 0.06 v/f
65/124
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Deeplearningai
reel DG1yI2PJcPl
59/124
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Doron Fishler
ep171 guinea pigs
39/124
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Doron Fishler
Instagram Reel DM8O6YtsiMl
63/124
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Doron Fishler
Instagram Reel DQrFPZHjaDw (Animated)
63/124
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Doron Fishler
instagram
53/124
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Dr. Julie Smith
4 Hidden Signs of Loneliness
62/124
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Jeff Delaney (Fireship)
TanStack Start in 100 Seconds
4.1M · 318K views · 0.08 v/f
64/124
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Fluent In Finance
reel DClDl15tB0w
17/124
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Gabe Dannenbring
reel DJkcVzGxP D
60/124
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Greg Isenberg
Claude Code Skill My Smartest Friends Us
562K · 34K views · 0.06 v/f
75/124
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Harsh The Mentor
tiktok 7609750361460460830
51/124
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Harsh The Mentor
tiktok 7612727335351061791
2K views
59/124
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Historyphotographed
reel DHjpaEwtbuT
59/124
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Dr. Nicole Lepera (@The.Holistic.Psychologist)
Instagram Reel
66/124
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Humphrey Yang
Net Worth Top 10%
66/124
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Intuitive Ml
reel C1GKGahSQCq
17/124
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James Briggs
openai agents sdk tools explained
80K · 2K views · 0.03 v/f
65/124
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Kane Kallaway
reel DUGabFVDb0e
61/124
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Kate Biberdorf (Katethechemist)
Instagram Reel
51/124
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Learn Machinelearning
reel C4qD5u0vqxE
62/124
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Clemence Arbib (Learnenglishwithclemence)
Instagram Reel
65/124
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Liam Ottley
Automate 70% of Business w/ Claude Code
742K · 36K views · 0.05 v/f
75/124
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Matt Wolfe
AI Tools You'll Actually Use
910K · 173K views · 0.19 v/f
65/124
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Marwa Kemicha (@Miss_Englishteacher_)
Instagram Reel
65/124
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Haley Sacks (Mrs. Dow Jones)
Starting from Scratch in Your 30s
63/124
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Nate Herk
From Zero to First Agentic AI Workflow
550K · 54K views · 0.10 v/f
65/124
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Neil Degrasse Tyson
Contrast Interview (StarTalk)
5.4M · 733K views · 0.14 v/f
77/124
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Neil Degrasse Tyson
Instagram Reel (Contrast)
67/124
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Networkchuck
AI Prompting Secrets
5.2M · 591K views · 0.12 v/f
75/124
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Jeremy Schneider (Personalfinanceclub)
Instagram Reel
58/124
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Jonny Thomson (Philosophyminis)
Kierkegaard's Concept of Regret
63/124
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Pythonlearnerr
reel DHs9twTqbEw
19/124
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Raven Baxter (@Raventhesciencemaven)
Instagram Reel
65/124
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Riley Brown (@Realrileybrown)
Instagram Reel
65/124
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Rourke Genhq
reel DQXMI2ojNrn
59/124
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Rowan Cheung
satya nadella ai agents
99K · 382K views · 3.87 v/f
65/124
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Sal Khan
Instagram Reel CEsetPNA90Q
65/124
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Sal Khan
Teaching Basic Addition (Origins of Alge
79/124
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Sal Khan
TED Talk: Let's use video to reinvent ed
27.2M · 1.3M views · 0.05 v/f
79/124
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Sam Witteveen
claude skills sops for agents
117K · 48K views · 0.41 v/f
63/124
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Setupsai
reel DTuwjEKierQ
59/124
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Skill Leap Ai
claude cowork first ai real employee
319K · 109K views · 0.34 v/f
65/124
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Spanish With Andrea
reel DHMFBLHO5TR
19/124
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Teach2Ai
tiktok 7489226671648754999
38K views
59/124
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Dianna Cowern (Physics Girl)
Faster Than Light Galaxies
65/124
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Tiffany Janzen (@Tiffintech)
Instagram Reel
65/124
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Tina Huang
How I Learn Things Really Fast (with AI)
1.1M · 112K views · 0.10 v/f
75/124
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Karoly Zsolnai Feher (Two Minute Papers)
Anthropic Found Out Why AIs Go Insane
1.8M · 226K views · 0.13 v/f
64/124
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Wes Roth
Build ANYTHING with Oz by Warp
312K · 17K views · 0.05 v/f
75/124
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Vivian Tu (Yourrichbff)
Instagram Reel
65/124
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| D1: Explanation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| E1 | Concept Density | How many distinct ideas per minute | 1 | 2.8 | 2.3 | 5.7 | 5 | medium — ~6 core concepts (automation, workflow, trigger, ac | high — 4 major claims from Dario Amodei essay each contain s | medium — ~8 core concepts (ML fundamentals, LLMs, transforme | medium-high — 8 discrete lessons, each a distinct claim or r | 1.6 | 1.5 | 3.6 | 4.8 | 1.5 | 2.1 | 1.8 | 2.8 | high — ~10 distinct concepts (context engineering, prompt en | 0.3 | 2.5 | 1.2 | 2 | 1.5 | 2 | 7.5 | 6.1 | 0.3 | 0.2 | 5 | 4 | 0.5 | 5 | 3 | 0.7 | 2 | 1 | 0.8 | 0.4 | 1.9 | 2.3 | 2 | 1.8 | 0.6 | 0.5 | 1.4 | 0 | 1.7 | high | low | low | 0.8 | very_low | 2.5 | 2 | 1.5 | extreme | 1.2 | medium | very_high | high | 1.7 | 2.7 | 1.5 | very_high | ||||||
| E2 | Explanation Duration / Concept | How long they spend unpacking each idea | 60 | 15 | 12 | 10.5 | 11.5 | long — each concept gets 3–6 min of treatment; demo segments | medium-long — each claim gets ~4–5 min of treatment; sub-cla | medium — each step gets ~2–4 min; breadth over depth; design | short — each lesson gets ~1.5–2.5 min; opinion-first format | 35 | 40 | 12 | 9 | 40 | 28 | 33 | 21 | medium-long — core concepts get 3–5 min each; formal definit | 180 | 95 | 50 | 75 | 140 | 85 | 30 | 9.8 | 10 | 150 | 30 | 50 | 10 | 59 | 55 | 80 | 20 | 82 | 79 | 150 | 31 | 26 | 80 | 34 | 105 | 127 | 43 | 0 | 69 | 100 | 20 | 40 | 75 | 0 | 24 | 30 | 50 | 60 | 80 | 70 | 92 | 85 | 35 | 22 | 40 | 75 | ||||||
| E3 | Directness Score | Ratio of on-point content to tangents | 0.6 | 0.8 | 0.9 | 0.7 | 0.8 | high — leads with demo output, states claim first ('this is | medium-high — states each claim clearly upfront, then immedi | high — leads with audience pain point ('you're paralyzed'), | very high — consistently opinion-forward ('stop listening to | 0.8 | 0.6 | 0.8 | 0.8 | 0.7 | 0.8 | 0.7 | 0.8 | medium — anti-hype framing ('biggest companies are strugglin | 0.8 | 0.8 | 0.7 | 0.5 | 0.3 | 0.7 | 0.9 | 0.9 | 0.4 | 0.5 | 0.8 | 0.8 | 0.3 | 0.8 | 0.8 | 0.9 | 0.6 | 0.9 | 1 | 0.4 | 0.9 | 1 | 0.8 | 0.8 | 0.6 | 0.3 | 0.7 | 0.6 | 9 | 5 | 7 | 0.5 | 4 | 0.8 | 0.6 | 0.7 | 10 | 0.8 | 7 | 8 | 9 | 0.8 | 0.7 | 0.8 | 9 | |||||||
| E4 | Vocabulary Level | Flesch-Kincaid grade level of language used | 9.6 | 9.5 | 5.2 | 7.2 | 10.1 | 5.1 | 8.5 | 5.8 | 4.4 | 9 | 5.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| E5 | Sentence Length (Mean) | Average words per sentence | 20.8 | 16.4 | 20.5 | 14 | 13.3 | 16.9 | 22.8 | 10.2 | 29.8 | 12.2 | 13 | 21.3 | 8.5 | 10.1 | 25.6 | 23.6 | 14.2 | 19.9 | 11.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||
| E6 | Sentence Length (Std Dev) | How much sentence length varies | 11.2 | 11.9 | 10.7 | 7.9 | 11.1 | 13.2 | 18 | 10.4 | 57.1 | 13.2 | 11.7 | 17.7 | 11.9 | 8.1 | 37.5 | 13.1 | 8.1 | 12.9 | 7.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
| E7 | Question Frequency | How often they ask questions (any type) | 0 | 0 | 0 | 0 | 0.3 | 0 | 1.3 | 0 | 0 | 3.5 | 0 | 0 | 0 | 0 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
| E8 | Question Type Distribution | What kinds of questions: rhetorical, genuine, provocative, etc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| E9 | Jargon Density | Technical/domain-specific terms relative to total words | 2.5 | 1.4 | 2.3 | 6.8 | 7.5 | medium — LLM, agentic, workflow, automation are used without | high — scaling laws, feedback loops, compute, agentic, align | medium — LLM, transformer, RAG, fine-tuning used but explain | low — avoids technical jargon; uses plain language ('the ext | 0.4 | 5 | 0.7 | 3.2 | 3 | 3.8 | 1.4 | 2 | very high — context engineering, LLM inference, token budget | 1.8 | 3 | 0 | 0.5 | 0.5 | 0 | 8.7 | 0 | 1.2 | 1.5 | 0.5 | 0 | 1.5 | 1 | 3.2 | 2 | 0.5 | 0 | 1.5 | 1.4 | 0 | 2 | 2.9 | 1.4 | 0.5 | 1.8 | 0 | 0.9 | low | low | medium | 3.4 | none | 6.4 | 1.5 | 5.1 | none | 3.3 | low_medium | high | medium | 1.2 | 3.3 | 9.7 | medium_high | |||||||
| E10 | Jargon Explanation Rate | How many jargon terms they explain on first use | 85 | 0 | 0 | 30 | 20 | high — every key term gets a working definition on first use | low — most jargon assumed known; occasional inline gloss ('s | high — each technical term gets an accessible definition; us | n/a — very little jargon to explain; when technical terms ap | 100 | 75 | 100 | 60 | 30 | 78 | 50 | 90 | high — every technical term defined on first use; often uses | 85 | 20 | 100 | 100 | 100 | 100 | 25 | 100 | 65 | 60 | 100 | 100 | 0 | 100 | 70 | 80 | 100 | 100 | 60 | 70 | 100 | 90 | 82 | 95 | 0 | 92 | 100 | 1 | 0.5 | 0.5 | 20 | n/a | 85 | 85 | 60 | n/a | 55 | 0.7 | 0.9 | 0.8 | 88 | 70 | 45 | 0.8 | ||||||||
| E11 | Analogy Frequency | How often they use comparisons to explain concepts | 0.1 | 0 | 0 | 0 | 0 | low — ~1–2 analogies total; primarily uses concrete examples | medium — ~3–4 analogies (law contract feedback loop, unit te | medium — ~3 analogies; most prominent: house-building analog | low — ~1–2 loose comparisons; primarily uses direct examples | 0.2 | 0.1 | 0 | 0 | 0 | 0.1 | 0 | 0.5 | low — ~1–2 analogies; relies on visual diagrams (progression | 0.2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0.3 | 1 | 0 | 0 | 1 | 1 | 0.1 | 1 | 0 | 0 | 0.5 | 0.1 | 0 | 2 | 0.2 | 0.2 | 2 | 0.4 | 0 | 4 | 0 | 0 | 0 | 0.3 | 0 | 0.1 | 3 | 0.2 | 0 | 0.1 | 0 | 1 | 1 | 0.2 | 0.1 | 0.2 | 1 | |||||||
| E12 | Analogy Concreteness | How tangible the analogies are: abstract, concrete, or visceral | 5 | high when used — email draft example is very specific (trigg | high — analogies are concrete and domain-specific; law contr | high — house-building analogy is mapped explicitly to each l | high when used — comparisons grounded in personal experience | 4 | 4 | 4 | 4 | medium when used — analogies are conceptual (prompt engineer | 4 | — | 4 | 5 | 4 | — | — | 3 | 4 | — | — | 3 | 4 | 3 | 4 | 3 | 4 | 4 | 5 | 5 | 5 | 5 | 5 | n/a | n/a | n/a | 4 | n/a | 2 | 4 | 4 | n/a | 3 | n/a | very_high | very_high | 5 | 5 | 4 | high | ||||||||||||||||||||
| E13 | Repetition Patterns | Key phrases or ideas repeated for emphasis | 0 | 0 | 0 | 0 | 0 | 0 | [{"phrase": "we're going to", "count": 20}, {"phrase": "goin | 0 | 0 | dont_break_rules | 0 | 0 | 0 | [{"phrase": ">> right? >>", "count": 13}, {"phra | 0 | 0 | [{"phrase": "i don't know", "count": 6}, {"phrase": "so this | [{"phrase": "to show you", "count": 4}, {"phrase": "a little | 0 | 0 | 0 | 0 | ||||||||||||||||||||||||||||||||||||||||||||||||
| E14 | Opening Strategy | How they begin: hook, question, story, statement, cold start | story | social_proof | bold_claim | personal_hook_with_claim | result_first | demo-first — opens with live tool walkthrough of email autom | authority + scope frame — opens with 'I read the 20,000-word | pain-point empathy + credentials — opens with audience pain | credentials + promise — opens with extreme personal authorit | authority_credential | context_setting | visual_data_hook | curiosity_gap | provocative_challenge | problem_then_promise | origin_story | topic_hook_with_promise | problem framing + credentialing — opens with industry pain p | direct_hook | context_bridge | mystery_hook | big_picture_frame | confrontational_challenge | numbered_list_hook | direct_topic | situational_comedy_hook | intrigue_hook | alarm_hook | provocative_claim | direct_address | provocative_claim | stat_hook | chapter_roadmap | vulnerability_hook | situational_comedy | direct_demo_start | immediate_drill_start | callback_hook | direct_value_declaration | scene_drop | audience_targeting_hook | authority_and_context | mundane_to_profound | disclaimer_then_reframe | provocative_challenge | accidental_pod_title_mishear | parallel_paradox_hook | incident_hook | bold_claim | mid_process_entry | teaser_montage_then_credential | self_introduction | direct_topic_statement | context_setting | analogy_hook | series_then_curiosity_gap | bold_claim_hook | news_hook_plus_tldr | question_from_audience | question_hook | credibility_plus_promise | bold_claim | personal_problem_then_solution_reveal | direct_challenge | ||||||
| E15 | Build Pattern | How explanation develops: linear, spiral, contrast, mystery, accumulation | problem_solution | step_by_step | demo_accumulation | process_walkthrough | process_walkthrough | concrete → abstract → concrete — demo first, then definition | structured enumeration — explicit 4-claim framework stated a | sequential scaffolded steps — numbered learning path (Step 1 | episodic list — 8 independent lessons in order; no cumulativ | numbered_list | linear | contrast_reveal | feature_accumulation | single_demo_proof | sequential_demo | problem_solution | investigative_layer_reveal | definition-first progressive complexity — establishes formal | sequential_problem_solution | linear_sequential | narrative_reveal | analogy_escalation | evidence_argument | parallel_list | linear | vignette_stream | demo_exploration | claim_evidence_implication | event_metrics_lesson | story_reveal | claim_acknowledge_action | numbered_list | taxonomy_then_demo | profile_then_system_then_philosophy | escalating_complexity | parallel_repetition | hype_vision_cta | frequency_ordered_list | narrative_progression | numbered_steps_with_secret | concept_then_build | layer_by_layer_socratic | thesis_through_counter_escalation | iterative_improvement | hook_generalize_complicate_reframe | linear_news | story_then_reveal | demo_reveal | interview_qa_thematic_progression | list_of_intentions | chronological_narrative | problem_solution | concept_then_demonstration | bullet_delivery | use_case_progression_increasing_complexity | misconception_then_positive | layered_correction | cause_effect_resolution | framework_sequential | problem_solution | problem_solution_build_reveal | numbered_debunk | ||||||||
| E16 | Key Moment Delivery | How the main insight/revelation lands — setup + delivery technique | The proof reveal is delivered with deliberate slowness after | demo_reveal | rapid_demo_showcase | system_reveal_cascade | specific_output_reveal | stated plainly — key distinction (AI controls workflow = age | calm analytical emphasis — key claims stated without vocal d | warm but clear — key recommendations delivered with personal | vocal emphasis + strong language — key opinions delivered wi | accumulated_candor | The 'LLM as just two files' reveal is delivered with casual | controversy_reveal | embedded_demo_clip | shock_reveal | Delivered through live demonstration moments — showing the a | data_anchor | embedded_knesset_clip | diagram-anchored — key conceptual moments accompanied by vis | live_demo_reveal | direct_imperative | reveal_twist | paradox_punchline | direct_critique | final_item_deepest | Tanner's hypothetical pitch delivered as direct quote: 'What | tonal_whiplash | social_proof_plus_demo | role_reframe | data_punch | gratitude_peak | empathy_bridge | data_plus_counterintuitive_frame | code_execution_reveal | system_reveal_mid | robot_reasoning_mid | rhythm_as_delivery | declaration_with_superlatives | Casual discovery reveals — 'This is so cool' moments while d | practical_directions_delivered | secret_reveal | Workflow completion reveals — showing the PDF competitive an | payoff_after_socratic_buildup | pivot_to_counter_example | Live prompt results reveal — reading the output aloud with e | reframe_punchline | stakes_reveal | embedded_clip_reveal | live_output_reveal | Quotable soundbites delivered conversationally; peak phrases | self_aware_humor | Etymology reveal at ~15% mark: 'al-jabr means restoration or | live_demo_with_commentary | Skills composability/portability reveal at ~60%: 'you can us | feature_reveal | Results reveals after each use case: organized screenshot fo | student_builders_reveal | stat_then_pivot | stay_with_me | Time-savings calculation reveal — builds to '20 hours saved | 'Dear fellow scholars, this is Two Minute Papers with Dr. Ká | AI Pulse live dashboard reveal at ~85%: 'Here is AI Pulse Li | math_reveal | ||||||||
| E17 | Closing Strategy | How they end: CTA, reflection, cliffhanger, callback, summary | open_question | cta_with_benefit | cta_dm | teaser_with_cta | generalizable_claim_with_cta | three-step summary + sponsor + personal sign-off — 'start wi | audience question + no CTA — ends with 'which predictions do | community invitation + personal backstory — closes with 'tel | enthusiasm close + newsletter CTA — ends with genuine excite | self_intro_and_cta | future_teaser | personal_callback | question_to_engage | self_deprecating_solidarity | synthesis_plus_cta | product_cta_with_specifics | systemic_call_to_action | path-forward recommendation — closes by recommending next vi | cta_warmup | action_directive | escalation_tease | paradox_acceptance | empowerment_invitation | final_list_item | call_to_action | comedic_callback | warm_reciprocal | urgency_cta | lesson_then_cta | gratitude_acknowledgment | empowerment_challenge | cta_plus_comment_hook | summary_tease | inspirational_mindset | self_deprecating_humor | implicit_demonstration_complete | drill_completion | webinar_cta_plus_subscribe | authenticity_close | natural_scene_end | inevitability_close_plus_follow | summary_plus_community | zoom_out_philosophical | philosophical_reframe_no_resolution | meta_insight_plus_personal | re_take_request | open_question_no_resolution | open_cliffhanger | wit_ambiguity | excitement_invitation | value_vision_close | warm_humor_close | open_ended_continuation | call_to_action | call_to_action_with_reflection | single_word_summary | platform_promo_with_teaser | direct_cta_plus_verdict | distance_reveal | reassurance_reframe | assessment_plus_community | future_teaser | future_vision_teaser | threat_plus_cta | ||||||
| E18 | Transition Technique | How they move between topics: bridge phrase, question, story, signpost | question | numbered_steps | live_demo_cuts | sequential_connectors | temporal_connectors | explicit verbal signposting — 'Now let me show you...', 'Jus | numbered enumeration — 'claim 1', 'claim 2', etc.; transitio | numbered step labels — 'Step 1', 'Step 2', etc.; explicit an | numbered lesson labels — 'Lesson 1', 'Lesson 2', etc.; expli | numbered_anchors | verbal_bridge | contrast_pivot | feature_list_connectors | live_action_narration | numbered_framework_signposting | rhetorical_question_pivot | evidence_stacking | section header slides + verbal signposting — uses visual sec | numbered_sequential | enumeration | narrative_flow | candidate_enumeration | counter_argument | numbered_enumeration | verbal_bridge | topic_jump | conversational_anyway | logical_escalation | logical_flow | conversational_flow | logical_chain | numbered_verbal_markers | logical_connectors | topic_pivot | qa_sequence | rhythmic_continuation | stream_of_consciousness | connector_phrase | dialogue_exchange | step_numbering | step_signposting | layer_announcement | rhetorical_question_pivots | narrative_momentum | contrastive_pivots | connective_logic | narrative_chronology | verbal_cue_sequential | interviewer_bridging_questions | additive_listing | temporal_connectors | signposting | topical_pivots_with_now_and_all_right | none_telegraphic | numbered_use_case_headers | topical_connectors | building_on_prior_question | logical_causation | analogy_continuation | verbal_bridge | phase_headers_and_food_metaphor | numbered_list | ||||||||
| E19 | Self-Correction Frequency | How often they correct themselves mid-explanation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| D2: Voice | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V1 | Mean Pitch | Average fundamental frequency of voice | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V2 | Pitch Median | Central tendency of pitch (less outlier-sensitive) | 113.6 | 112.9 | 113.2 | 138.2 | 107.2 | 111.6 | 221.9 | 161.5 | 221.9 | 104.7 | 102.9 | 207.1 | 114.9 | 133.5 | 196.6 | 209.5 | 161.5 | 112.2 | 107.2 | 128.2 | 125.3 | 125.3 | 195.4 | 102.3 | 58.1 | 117.6 | 92.8 | 117.6 | 252 | 170.1 | 135 | 139.8 | 103.5 | 61.6 | 147.3 | 109.7 | 213.1 | 117.6 | 164.3 | 319.3 | 210.7 | 118.2 | 125.3 | 102.6 | 112.9 | 130.4 | 110.3 | 53.3 | 216.8 | 119.6 | 259.4 | 132.7 | 124.5 | 105.3 | 150.7 | 126.7 | 123.1 | 156.9 | 324.9 | 181.3 | 200 | 254.9 | 188.8 | 162.5 | 102.3 | 219.4 | ||||
| V3 | Pitch Std Dev | How much pitch varies overall | 41.9 | [null, null] | 18.3 | 24.1 | [null, null] | 25.2 | [null, null] | 35.6 | [null, null] | 19.9 | 18 | [null, null] | [null, null] | 26.5 | 59.9 | 80.4 | 33.3 | [null, null] | [null, null] | 66.3 | 32.4 | 52.9 | 54.2 | 28.3 | [null, null] | [null, null] | 26.1 | [null, null] | [null, null] | 27 | 33.1 | [null, null] | [null, null] | [null, null] | 68.5 | [null, null] | 33.2 | 24 | 36.3 | 72.1 | 45 | 18 | 56.1 | 57.5 | 35.8 | 83.4 | 34.4 | [null, null] | 77.4 | 30.2 | [null, null] | [null, null] | 38.6 | 37.7 | 44.9 | [null, null] | [null, null] | [null, null] | [null, null] | [null, null] | 59.5 | 58.3 | 47.4 | 38.6 | 26.8 | 63.9 | ||||
| V4 | Pitch Range (5th–95th) | Usable pitch range excluding outliers | 130.9 | 28.6 | 56.2 | 74.3 | 28.4 | 78.3 | 49.1 | 112.1 | 40.8 | 59.7 | 54.8 | 43.8 | 33.6 | 85 | 194.2 | 245.6 | 101.8 | 29.8 | 31.4 | 211.9 | 99.6 | 172.2 | 211.8 | 66.7 | 6.8 | 31.8 | 71.1 | 23.4 | 103.6 | 80.6 | 109.4 | 126.7 | 40.3 | 30 | 172.6 | 62.2 | 87.2 | 86.9 | 114.8 | 239.6 | 147.6 | 57.8 | 177.4 | 168.7 | 115.5 | 235.2 | 106.2 | 8.3 | 242 | 95.5 | 61 | 42.1 | 124.3 | 120.2 | 132.4 | 30.5 | 28.1 | 37.8 | 64.5 | 42.8 | 194.1 | 193.2 | 139.5 | 125.9 | 86.5 | 204.5 | ||||
| V5 | Pitch Contour Patterns | WHERE pitch changes relative to content | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V6 | Volume Mean | Average loudness (RMS energy) | -11.6 | -14.9 | -13.5 | -11.2 | -16.3 | -10 | -16.4 | -16.1 | -14.2 | -18.8 | -13.2 | -11.4 | -17.3 | -15.9 | -10.8 | -14.8 | -15.7 | -31.3 | -15.2 | -21.1 | -15.2 | -13.1 | -12.6 | -9.9 | -10 | -11.5 | -19.8 | -11.6 | -11.2 | -14.3 | -12.2 | -20.4 | -23.9 | -10.8 | -11.4 | -21.3 | -17.2 | -11.4 | -14.6 | -22.1 | -12.2 | -13.7 | -13.6 | -22.4 | -17.6 | -19.6 | -14.8 | -5.5 | -9.7 | -12.5 | -12.5 | -18 | -13.9 | -16.8 | -14.4 | -17.5 | -18.9 | -20.1 | -19.3 | -15.4 | -13.7 | -12.4 | -12.7 | -14.7 | -16.8 | -12.3 | ||||
| V7 | Volume Std Dev | How much volume varies | 9.2 | 43.5 | 8.7 | 7.1 | 22.9 | 7.7 | 22.2 | 8.4 | 35.2 | 10.3 | 6 | 23.2 | 29 | 6.9 | 10.6 | 8.9 | 13.3 | 50.1 | 47 | 17.2 | 11.1 | 9.6 | 6.9 | 4 | 18.2 | 20.4 | 16 | 17.4 | 20 | 10.8 | 5.7 | 76.3 | 60.8 | 38.8 | 6.5 | 34.1 | 11.5 | 10.6 | 7.8 | 20.1 | 5.5 | 6 | 12.4 | 10.1 | 10.3 | 12.8 | 10.6 | 12.5 | 5.2 | 6.4 | 21.3 | 31.5 | 9.2 | 8.8 | 13.3 | 36.8 | 57.9 | 33.4 | 21.6 | 27.4 | 6.6 | 10.3 | 6.7 | 16.2 | 10.7 | 8.4 | ||||
| V8 | Dynamic Range | Difference between quiet and loud (P95–P5) | 30.9 | 15.5 | 29.1 | 20.3 | 7 | 19.8 | 7.2 | 28.5 | 10.4 | 33 | 19.3 | 8.8 | 10.2 | 23.4 | 33.6 | 31.1 | 46.3 | 16.5 | 15 | 56.2 | 36.9 | 27.1 | 21 | 13.1 | 6.4 | 5.9 | 50.4 | 5.6 | 6.9 | 38.6 | 19 | 19.2 | 18.3 | 14.5 | 20.5 | 12.1 | 32.6 | 34.1 | 21.6 | 75.7 | 18.7 | 18.5 | 41.2 | 31.3 | 36.5 | 42.7 | 31.6 | 6.2 | 16.8 | 19 | 6.5 | 9.1 | 31.3 | 30.5 | 45.5 | 11.9 | 19.4 | 9.5 | 13.7 | 8.9 | 21.9 | 32.9 | 21.5 | 47.8 | 30.4 | 25.3 | ||||
| V9 | Volume Envelope Patterns | WHERE volume changes relative to content | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V10 | Speech Rate (Mean) | Average speaking speed | 116.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V11 | Speech Rate (Std Dev) | How much speaking speed varies | 34 | 82.4 | 71.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V12 | Speech Rate Range | Spread between slowest and fastest speech | 71 | 204.5 | 166.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V13 | Speech Rate × Content | WHERE they speed up/slow down and why | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V14 | Pause Frequency | How often they pause (≥300ms) | 4.2 | 1 | 0 | 0.4 | 2 | 3.2 | 0 | 0.5 | 3.6 | 4.3 | 5.1 | 4.2 | 1.1 | 0 | 0 | 11.7 | 5.5 | 0 | 0 | 0 | 9 | 0.1 | 6.9 | 0 | 0 | 4.8 | 0 | 3.3 | 4.5 | 2.6 | 0 | 0 | 1.7 | 2.7 | 8.1 | 0 | 0 | 0.2 | 4.8 | 0.5 | 0.7 | |||||||||||||||||||||||||||||
| V15 | Pause Mean Duration | Average pause length | 0.5 | 0.4 | 0 | 0.4 | 0.4 | 0.5 | 0 | 0.4 | 0.5 | 0.5 | 0.4 | 0.5 | 0.5 | 0 | 0 | 0.6 | 0.4 | 0 | 0 | 0 | 0.5 | 0.3 | 0.6 | 0 | 0.7 | 0.5 | 0.6 | 0.8 | 0.4 | 0 | 0 | 0.5 | 0.5 | 0.6 | 0 | 0 | 0.5 | 0.4 | 0.4 | 0.6 | ||||||||||||||||||||||||||||||
| V16 | Pause Max Duration | Longest single pause | 1.1 | 0.5 | 0 | 0.4 | 0.7 | 1.3 | 0 | 0.6 | 0.6 | 0.9 | 0.8 | 0.8 | 0.7 | 0 | 0 | 2.9 | 0.4 | 0 | 0 | 0 | 2.4 | 0.3 | 0.9 | 0 | 0.7 | 1.0 | 0 | 3.0 | 1.4 | 0.5 | 0 | 0 | 0.6 | 0.7 | 2.3 | 0 | 0 | 0.8 | 0.6 | 0.4 | 0.6 | |||||||||||||||||||||||||||||
| V17 | Pause Duration Variance | How much pause length varies (low=metronomic, high=strategic) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V18 | Pauses > 2.7s (Rowe) | Educational threshold pauses (Rowe's research: 2.7s = thinking time) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V19 | Pause Placement Classification | FUNCTION of each major pause: emphasis, dramatic, transitional, comedic | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V20 | Filler Word Frequency | "um", "uh", "like", "you know" as fraction of total words | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V21 | Voice Texture | Quality of voice: breathy, clear, gravelly, nasal, warm, resonant | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V22 | Vocal Fry Presence | Creaky voice at ends of phrases | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V23 | Uptalk Presence | Rising intonation on statements (not questions) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V24 | Breathing Patterns | How breaths relate to speech rhythm | 82 breath pauses. Avg interval: 21.29s. Irregular — breath f | 2 breath pauses detected. Mean interval: 30.88s, Std: 0.0s, | 0 breath pauses detected. Could not determine — no breathing | 9 breath pauses. Avg interval: 159.57s. Irregular — breath f | 34 breath pauses. Avg interval: 28.84s. Irregular — breath f | 142 breath pauses. Avg interval: 25.08s. Irregular — breath | 0 breath pauses. Could not determine | 6 breath pauses detected. Mean interval: 22.71s, Std: 21.89s | 11 breath pauses detected. Mean interval: 22.54s, Std: 17.33 | 99 breaths. Irregular — breath follows content, not clock | Moderate — natural variation. CV=0.76, 6 breath pauses detec | Could not determine — only 2 breath pauses detected, mean in | 0 breaths. Interval: 0s. Could not determine | 0 breath pauses detected. Could not determine breathing patt | 139 breaths. Irregular — breath follows content, not clock | 6 breaths. Regular — consistent rhythm | 0 breaths. Interval: 0s. Could not determine | 0 breath pauses. Could not determine | 0 breath pauses. Could not determine | 108 breaths. Irregular — breath follows content, not clock | 1 breath pause detected. Could not determine breathing patte | 1 breaths. Could not determine | 0 breaths. Interval: 0s. Could not determine | 0 breath pauses detected. Could not determine breathing patt | 48 breath pauses. Avg interval: 26.98s. Irregular — breath f | 1 breath pauses. Could not determine | 3 breaths. Interval: 28.92s. Very regular — metronomic breat | 0 breaths. Could not determine | 0 breaths. Could not determine | Could not determine — only 1 breath pause detected. Insuffic | 0 breaths. Interval: 0s. Could not determine | 0 breaths. Could not determine | 3 breaths. Very regular — metronomic breathing | 39 breath pauses detected. Mean interval: 12.70s, Std: 11.82 | 8 breaths. Irregular — breath follows content, not clock | 0 breath pauses. Could not determine | ||||||||||||||||||||||||||||||||||
| V25 | Emphasis Technique | Primary method of stressing important words | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| V26 | Vocal Energy Trajectory | How vocal energy changes over the full content (0–100%) | even opening-to-middle; sustained to close; peak at ~5%. Dec | Even opening-to-middle; sustained to close; peak at ~5%. Rem | Even opening-to-middle; sustained to close; peak at ~85%. La | even opening-to-middle; sustained to close; peak at ~5%. Dec | even opening-to-middle; sustained to close; peak at ~5%. Dec | even opening-to-middle; sustained to close; peak at ~5%. Dec | even opening-to-middle; sustained to close; peak at ~85%. De | Even opening-to-middle; sustained to close; peak at ~65%. Bu | Even opening-to-middle; sustained to close; peak at ~15%. Fr | even opening-to-middle; sustained to close; peak at ~25% | Builds from opening; sustained to close; peak at ~55%. Decil | Builds from opening; energy fades at end; peak at ~35%. Stro | even opening-to-middle; sustained to close; peak at ~45%. De | Even opening-to-middle; sustained to close; peak at ~5%. Ver | strong opening, drops mid; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~5% | strong opening, drops mid; strong finish; peak at ~15%. Deci | strong opening, drops mid; sustained to close; peak at ~25%. | strong opening, drops mid; sustained to close; peak at ~5%. | even opening-to-middle; sustained to close; peak at ~65% | Even opening-to-middle; sustained to close; peak at ~5%. Fro | strong opening, drops mid; sustained to close; peak at ~65% | even opening-to-middle; sustained to close; peak at ~5%. Dec | Even opening-to-middle; sustained to close; peak at ~5%. Rem | even opening-to-middle; sustained to close; peak at ~5%. Dec | strong opening, drops mid; sustained to close; peak at ~5%. | even opening-to-middle; sustained to close; peak at ~75%. De | even opening-to-middle; sustained to close; peak at ~25% | even opening-to-middle; energy fades at end; peak at ~25% | Energy fades throughout — peak at opening (~5%), steady decl | even opening-to-middle; sustained to close; peak at ~25%. De | even opening-to-middle; sustained to close; peak at ~65% | even opening-to-middle; sustained to close; peak at ~75% | Even opening-to-middle; sustained to close; peak at ~45%. En | even opening-to-middle; sustained to close; peak at ~95% | even opening-to-middle; sustained to close; peak at ~85%. De | ||||||||||||||||||||||||||||||||||
| V27 | Prosodic Rhythm | Overall rhythmic quality: metronomic, conversational, dramatic, jazz-like | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| D3: Fluff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| F1 | Teaching Content Ratio | % of time on core topic vs everything else | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| F2 | Tangent Frequency | How often they leave the main topic | 2 | 0 | 0 | 0 | 1 | very low — ~1 brief tangent (addressing social media misconc | low — ~1–2 brief digressions (caveat on extrapolating from s | low — ~1–2 personal digressions; they serve to establish tru | medium — ~3–4 brief opinion asides ('gurus are lying to you' | 1 | 1 | 1 | 0 | 0 | 4 | 1 | 1 | very low — ~1 brief digression (addressing hype around AI ag | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 0 | 0 | 3 | 3 | 0 | 6 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 1 | 0 | ||||||||
| F3 | Tangent Avg Duration | How long each tangent lasts | 120 | 0 | 0 | 0 | 5 | ~30s — single tangent addressing the 'everything is called a | ~45s — caveats are substantive but controlled; returns to ma | ~30–45s — personal moments are brief; credentials intro is ~ | ~20–30s — opinion asides are punchy; doesn't dwell; returns | 5 | 90 | 5 | 0 | 0 | 45 | 8 | 20 | ~20s — brief anti-hype aside quickly resolved back to the fr | 30 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 75 | 0 | 0 | 3 | 0 | 0 | 10 | 0 | 0 | 0 | 60 | 60 | 0 | 0 | 40 | 40 | 0 | 55 | 0 | 0 | 0 | 0 | 45 | 18 | 38 | 20 | 60 | 0 | 0 | 2 | 0 | 0 | 35 | 0 | 20 | 0 | ||||||||
| F4 | Tangent Return Rate | % of tangents that connect back to the main point | 100 | 100 | 100 | 100 | 100 | 100% — always returns to main thread; tangent serves to rein | 100% — uses explicit verbal markers ('then back to that engi | 100% — all personal content is bookended (opening → path, cl | 95% — almost always returns; occasional opinion bleeds into | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% — returns via explicit verbal connector; never loses tr | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 80 | 85 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 80 | 75 | 100 | 100 | 100 | 83 | n/a | n/a | n/a | 100 | 0 | 100 | 100 | 100 | n/a | 100 | 1 | n/a | n/a | 80 | 100 | n/a | ||||||||||||
| F5 | Humor Frequency | How often something is intended to be funny | 3 | 0 | 0 | 0 | 0 | very low — essentially zero; professional/neutral tone throu | very low — virtually no humor; dry analytical register throu | low — occasional light humor ('I know, I know') but not come | medium — light humor through confident irreverence ('they ha | 2 | 1 | 2 | 0 | 2 | 2 | 0 | 1 | near-zero — no humor detected; professional academic registe | 2 | 0 | 3 | 5 | 1 | 0 | 1 | 8 | 15 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 5 | 0 | 1 | 3 | 4 | 2 | 14 | 3 | 0 | 0 | 2 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 5 | 2 | 1 | 1 | ||||||
| F6 | Humor Type Distribution | Kinds of humor: wordplay, callback, self-deprecating, absurdist, etc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| F7 | Personal Story Frequency | How often they share personal experience | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| F8 | Personal Story Duration | How long personal stories take on average | 30 | 0 | 0 | 127 | 90 | ~15s when present — incidental personal context, not narrati | 0s — no personal stories present | ~75s total — credentials intro ~30s, closing backstory ~45s; | short bursts — 10–20s personal credential/experience inserts | 8 | 60 | 3 | 5 | 0 | 25 | 30 | 0 | ~25s — credentials intro is compact; not narrative; no perso | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 60 | 0 | 0 | 85 | 3 | 0 | 0 | 0 | 40 | 0 | 0 | 90 | 40 | 0 | 0 | 15 | 0 | 8 | 75 | 0 | 0 | 0 | 65 | 0 | 60 | 0 | 0 | 18 | 60 | 0 | 30 | 2 | 0 | 0 | 30 | 0 | 30 | 0 | ||||||
| F9 | Filler Content Breakdown | What non-teaching time is made of: tangent, humor, meta, admin | {"humor": 2, "personal_stories": 2, "tangents_unconnected": | {"humor": 0, "personal_stories": 0, "promo": 100} | {"humor": 0, "personal_stories": 0, "promo": 100} | {"humor": 0, "personal_stories": 100, "promo": 0} | {"humor": 0, "personal_stories": 85, "promo": 15} | sponsor segment (~38s); transition signposting (~20s); closi | closing audience question (~15s); total non-teaching ~15s of | credentials intro (~30s); course recommendations as personal | credentials opening (~30s); personal experience inserts acro | {"humor": 30, "personal_stories": 40, "promo": 30} | {"humor": 1, "personal_stories": 2, "tangents_unconnected": | {"humor": 60, "personal_stories": 30, "promo": 10} | {"humor": 0, "personal_stories": 20, "promo": 80} | {"humor": 80, "personal_stories": 0, "promo": 20} | {"humor": 5, "personal_stories": 5, "tangents_unconnected": | {"humor": 0, "personal_stories": 50, "promo": 50} | {"humor": 10, "personal_stories": 0, "promo": 0, "embedded_c | credentials intro (~25s); like/subscribe outro (~20s); total | {"sponsor_cta": 10, "transitions_filler_words": 5, "intro_ou | {"preamble": 5, "recap": 0, "meta_commentary": 0, "humor": 0 | {"narrative_setup": 80, "meta_frame": 15, "hook": 5} | {"analogy_vehicle": 85, "statistical_aside": 10, "hook": 5} | {"argument": 90, "example": 5, "challenge": 5} | {"teaching": 100} | {"humor": 5, "personal_stories": 0, "tangents_unconnected": | {"humor": 60, "character_performance": 25, "actual_teaching" | {"humor": 15, "personal_stories": 7, "tangents_unconnected": | {"cta": 15, "teaching": 85} | {"cta": 15, "news_facts": 60, "interpretation": 25} | {"personal_story": 85, "greeting_asides": 15} | {"teaching_prescription": 90, "personal_disclosure": 5, "emp | {"promo": 1, "total_seconds": 4} | {"transitions_filler_words": 3, "intro_outro": 2, "humor": 0 | {"podcast_promo_intro": 7, "inspirational_rhetoric": 20} | {} | {} | {"personal_stories": 20, "sponsor_cta": 10, "transitions_fil | {"humor": 12, "personal_stories": 25, "tangents_unconnected" | {} | {"intro_self_id": 3, "follow_cta": 2, "humor_beat": 2, "tota | {"humor": 8, "personal_stories": 4, "tangents_unconnected": | {"humor": 5, "tangents_unconnected": 4, "intro_outro": 3, "t | {"disclaimer_intro": 10, "personal_anecdote_evidence": 8, "t | {"humor": 28, "personal_stories": 22, "tangents_unconnected" | {"failed_take": 9, "repeated_okays": 9, "celebration": 4, "c | {"attribution_setup": 5, "total_non_pure_argument": 5} | {"filler_words": "kinda (1 instance)", "transitions": "minim | {"personal_narrative": 0.7, "clip_context": 0.2, "teaching": | {"enthusiasm_reactions": "it's exciting, that's nice", "fill | {"humor": 0.02, "personal_stories": 0.12, "tangents_unconnec | {"self_promotion": 0.65, "humor_filler": 0.2, "meta_commenta | {"humor": 0.0, "personal_stories": 0.0, "tangents_unconnecte | {"meta_commentary": 40, "personal_stories": 30, "humor": 10, | {"humor": 0.0, "personal_stories": 0.06, "tangents_unconnect | {"series_branding": "Part 912 tag ~2s"} | {"humor": 0.01, "personal_stories": 0.03, "tangents_unconnec | {"enthusiasm_reactions": "'so cool', 'my favorite thing ever | {"dialogue_reactions": "'OK', 'Cool', 'No', 'That's crazy', | {"relatable_opener": "'I mean, it should, but it doesn't' ~2 | {"humor": 18, "personal_stories": 20, "tangents_unconnected" | {"humor": 3, "personal_stories": 0, "tangents_unconnected": | {"humor": 0.02, "personal_stories": 0.03, "tangents_unconnec | {"authority_building": "first 20s credentials establishment" | |||||||
| F10 | Strategic vs Accidental Fluff | Whether non-core content reinforces lesson, builds trust, or serves no purpose | 5 | 5 | 5 | 4 | 4 | strategic — sponsor placement at ~3:30 mark (early but post- | strategic — the caveat structure is deliberate analytical fr | strategic — personal content placed at start (trust) and end | strategic — personal credential inserts reinforce authority | 4 | 2 | 5 | 5 | 4 | 5 | 5 | 5 | strategic — anti-hype positioning is deliberate brand differ | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 2 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 3 | 4 | 5 | fully_strategic | 4 | 5 | appears_spontaneous_likely_strategic | 5 | intentionally_posted_BTS | fully_strategic | strategic | strategic | mixed | 3 | mixed | 4 | 5 | 5 | strategic | 5 | mostly_strategic | strategic | strategic | 4 | 5 | 5 | strategic | ||||||
| F11 | Attention Reset Patterns | Regular breaks in dense content that re-engage the audience | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| D4: 4th Wall | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W1 | Direct Address Frequency | How often they say "you" to the audience | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W2 | Direct Address % | What fraction of sentences address the audience | 41.5 | 17.9 | 36 | 100 | 17.6 | 42.9 | 29.2 | 20.4 | 70 | 25 | 20 | 0 | 0 | 37.1 | 0 | 12 | 13.5 | 1.9 | 25.3 | 1.5 | 7 | 100 | 100 | 52.4 | 15.2 | |||||||||||||||||||||||||||||||||||||||||||||
| W3 | Audience Reference Style | How they frame the audience: "you", "we", "people", "one" | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W4 | Eye Contact Behavior | How they relate to camera: direct, looking away, alternating | — | — | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W5 | Meta-Commentary Frequency | Self-aware asides about the content/process itself | 5 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1 | 6 | 1 | 1 | 1 | 9 | 1 | 2 | 4 | 6 | 1 | 8 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 | 7 | 4 | 0 | 1 | 8 | 6 | 2 | 10 | 5 | 0 | 0 | 0 | 0 | 2 | 2 | 5 | 8 | 3 | 0 | 5 | 0 | 0 | 0 | 7 | 4 | 5 | 0 | |||||
| W6 | Audience Assumption Level | How much prior knowledge they assume: nothing to expert | intermediate | some_exposure | some_exposure | advanced | complete_beginner | intermediate | some_exposure | complete_beginner | some_exposure | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W7 | Invitation to Participate | Explicit invitations for audience to think/do something | 4 | 2 | 5 | 1 | 7 | 1 | 3 | 5 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| W8 | Permission Signals | Moments giving permission to not know/be confused | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | 3 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 3 | 1 | 5 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 2 | 4 | 5 | 1 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 1 | 4 | 1 | 1 | 0 | |||||
| W9 | Audience Surrogate Use | Using a co-host/character as stand-in for the audience | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | none | none | shared_struggle | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 1 | 12 | 0 | 6 | 0 | 1 | none | none | none | 0 | none | 1 | 3 | 1 | none | 1 | skeptical_parent_or_educator | dialogue_partner | confused_developer | 4 | 2 | 2 | named_skeptic_marcella | |||||
| W10 | Response Solicitation | Asking the audience to respond: "right?", "make sense?" | 0 | rhetorical_questions | comment_cta | none | none | rhetorical_questions | rhetorical_questions | rhetorical_questions | rhetorical_questions | none | 0 | none | genuine_questions | none | genuine_questions | genuine_questions | none | rhetorical_questions | rhetorical_questions | none | genuine_questions | none | none | implicit_reflection | none | none | none | genuine_questions | follow_save | 0 | 0 | 0 | comments | rhetorical_questions | none | none | none | implicit_shadow | none | rhetorical_questions | none | 1 | rhetorical_questions | genuine_questions | 0 | 0 | 0 | 0 | 0 | 0 | 0 | genuine_questions | 0 | none | rhetorical_questions | genuine_questions | 0 | none | 0 | 0 | 0 | 0 | rhetorical_questions | genuine_questions | 1 | |||||
| W11 | Vulnerability Display | Showing uncertainty, mistakes, learning moments | 2 | 1 | 1 | 2 | 1 | 1 | 2 | 1 | 2 | 3 | 2 | 2 | 1 | 3 | 3 | 3 | 1 | 1 | 1 | 1 | 4 | 1 | 1 | 1 | 1 | 1 | 3 | 3 | 1 | 0 | 5 | 2 | 1 | 2 | 2 | 4 | 1 | 1 | 3 | 2 | 1 | 0 | 2 | 2 | 2 | 4 | 4 | 0 | 0 | 1 | 0 | 1 | 3 | 3 | 3 | 2 | 0 | 1 | 1 | 0 | 0 | 3 | 2 | 2 | 0 | |||||
| D5: Visuals | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Composition | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VA1 | Framing Type Distribution | Shot sizes used: close-up, medium, wide, etc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VA2 | Framing Changes / Min | How often the framing changes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VA3 | Subject Position | Where the subject sits in frame: left, center, right third | center | left_third | center | center | left_third | left_third | center | right_third | center | right_third | center | center | center | right_third | center | center | left_third | right_third | left_third | — | center | center | center | center | left_third | center | right_third | center | center | left_third | center | center | right_third | center | center | center | right_third | right_third | center | center | right_third | right_third | right_third | center | center | center | right_third | center | center | center | center | center | center | center | right_third | left_third | left_third | center | center | center | center | left_third | right_third | center | ||||||
| VA4 | Headroom | Space above the subject's head as % of frame | 51 | 53.2 | 32.2 | 32.2 | 62.7 | 63.2 | 13.5 | 38.6 | 52.7 | 65.7 | 20.9 | 31.6 | 22.9 | 81.1 | 14.8 | 14.8 | 18.8 | 67 | 32.6 | — | 24.6 | 24.6 | 24.6 | 13.2 | 11.2 | 38.1 | 32 | 43.5 | 46.1 | 30.7 | 18.2 | 16.6 | 8.5 | 26 | 45.2 | 63.9 | 16.6 | 57.2 | 30.6 | 28.4 | 54.7 | 25.6 | 25.6 | 16.6 | 52 | 31.7 | 27.8 | 31.6 | 37.5 | 47.8 | 14.5 | 31.6 | 31.6 | 31.6 | 37.8 | 57.3 | 24.1 | 28 | 49.2 | 26.9 | 11.6 | 43.3 | 59.5 | 37.9 | ||||||
| VA5 | Look Space | Space in the direction the subject faces | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VA6 | Camera Angle | Angle relative to subject: eye-level, low, high, dramatic | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VA7 | Camera Movement | Whether camera moves: static, drift, handheld, dolly, tracking, zoom | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Color & Light | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VB1 | Dominant Color Palette | Main colors in the frame (K-means clustering → 5 hex values) | [{"hex": "#0e0b0d", "rgb": [14, 11, 13], "percentage": 36.8} | [{"hex": "#f8f7f9", "rgb": [248, 247, 249], "percentage": 46 | [{"hex": "#28201f", "rgb": [40, 32, 31], "percentage": 38.4} | [{"hex": "#585b52", "rgb": [88, 91, 82], "percentage": 30.4} | [{"hex": "#a49fa3", "rgb": [164, 159, 163], "percentage": 31 | [{"hex": "#1b140f", "rgb": [27, 20, 15], "percentage": 33.5} | [{"hex": "#111213", "rgb": [17, 18, 19], "percentage": 79.9} | [{"hex": "#121213", "rgb": [18, 18, 19], "percentage": 73.8} | [{"hex": "#000000", "rgb": [0, 0, 0], "percentage": 44.1}, { | — | [{"hex": "#342234", "rgb": [52, 34, 52], "percentage": 45.5} | [{"hex": "#2d181a", "rgb": [45, 24, 26], "percentage": 28.6} | [{"hex": "#64746c", "rgb": [100, 116, 108], "percentage": 33 | [{"hex": "#252a45", "rgb": [37, 42, 69], "percentage": 33.9} | [{"hex": "#f7f6f1", "rgb": [247, 246, 241], "percentage": 33 | [{"hex": "#000000", "rgb": [0, 0, 0], "percentage": 58.3}, { | [{"hex": "#000000", "rgb": [0, 0, 0], "percentage": 95.7}, { | [{"hex": "#02131e", "rgb": [2, 19, 30], "percentage": 67.0}, | [{"hex": "#040305", "rgb": [4, 3, 5], "percentage": 50.0}, { | [{"hex": "#010101", "rgb": [1, 1, 1], "percentage": 73.4}, { | [{"hex": "#1b1111", "rgb": [27, 17, 17], "percentage": 28.1} | [{"hex": "#1b1111", "rgb": [27, 17, 17], "percentage": 28.1} | [{"hex": "#000001", "rgb": [0, 0, 1], "percentage": 62.4}, { | [{"hex": "#0a090c", "rgb": [10, 9, 12], "percentage": 78.3}, | [{"hex": "#201716", "rgb": [32, 23, 22], "percentage": 25.9} | [{"hex": "#000000", "rgb": [0, 0, 0], "percentage": 98.3}, { | [{"hex": "#000000", "rgb": [0, 0, 0], "percentage": 98.3}, { | [{"hex": "#f9f8f4", "rgb": [249, 248, 244], "percentage": 80 | [{"hex": "#261e24", "rgb": [38, 30, 36], "percentage": 48.5} | [{"hex": "#1d1e1c", "rgb": [29, 30, 28], "percentage": 62.7} | [{"hex": "#57452d", "rgb": [87, 69, 45], "percentage": 32.9} | [{"hex": "#f8f6f4", "rgb": [248, 246, 244], "percentage": 75 | ||||||||||||||||||||||||||||||||||||||
| VB2 | Color Temperature | Warm vs cool overall feel | 12000 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 7777 | 5500 | 5500 | 5500 | 5500 | 3360 | 5500 | 5500 | 5500 | 8142 | 5500 | 5500 | — | 5500 | 5500 | 5500 | 5500 | 7772 | 3346 | 5500 | 5500 | 7932 | 5500 | 5500 | 5500 | 5500 | 5500 | 12000 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 3487 | 5500 | 3317 | 3317 | 5500 | 7772 | 5500 | 12000 | 3400 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 5500 | 3386 | 5500 | 5500 | 5500 | 5500 | 5500 | 7750 | 5500 | ||
| VB3 | Contrast Ratio | Difference between lightest and darkest areas | 0.3 | 0.6 | 0.8 | 0.8 | 0.4 | 0.6 | 0.4 | 0.3 | 0.8 | 1.0 | 0.6 | 0.6 | 0.8 | 0.4 | 0.8 | 0.8 | 0.6 | 0.6 | 0.9 | 0.5 | 0.5 | 0.5 | 0.6 | 0.3 | 0.6 | 0.7 | 0.7 | 0.6 | 0.9 | 0.6 | 0.7 | 0.8 | 0.1 | 0.4 | 0.4 | 0.8 | 0.8 | 0.5 | 0.7 | 0.8 | 0.8 | 0.7 | 0.4 | 0.7 | 0.7 | 0.6 | 0.7 | 0.6 | 0.9 | 0.5 | 0.8 | 0.6 | 0.3 | 0.0 | 0.0 | 0.0 | 0.5 | 0.9 | 0.3 | 0.7 | 0.9 | 0.6 | 0.7 | 0.6 | 0.6 | 0.4 | 0.9 | |||
| VB4 | Saturation Level | How vivid the colors are | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VB5 | Lighting Direction | Where the main light comes from: front, side, back, diffuse | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VB6 | Background Style | What's behind the subject: solid, home, studio, outdoor, blurred | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VB7 | Color Consistency | How much the palette changes across content | 0.7 | 0.8 | 0.9 | 0.9 | 0.6 | 0.8 | 0.8 | 0.8 | 0.9 | 0.9 | 0.8 | 0.8 | 0.8 | 0.9 | 0.9 | 0.9 | 0.8 | 0.7 | 0.2 | — | 0.8 | 0.8 | 0.8 | 0.9 | 0.3 | 0.9 | 0.9 | 0.7 | 0.7 | 0.8 | 0.9 | 1.0 | 0.8 | 0.7 | 0.6 | 0.3 | 0.9 | 0.7 | 1.0 | 0.9 | 0.7 | 0.9 | 0.9 | 0.8 | 0.8 | 0.8 | 0.9 | 0.9 | 0.9 | 0.6 | 0.8 | 0.7 | 0.9 | 0.7 | 0.5 | 0.5 | 0.5 | 0.7 | 0.8 | 0.7 | 1.0 | 0.8 | 0.8 | 0.7 | 0.9 | 0.6 | 0.7 | 0.9 | ||
| Text & Graphics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC1 | Text Overlay Frequency | How often text appears on screen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC2 | Text Style | Visual characteristics: font, size, color, position, animation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC3 | Text–Speech Relationship | How text relates to speech: reinforcing, supplementary, redundant | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC4 | Graphic Frequency | Non-text visual elements: icons, diagrams, illustrations | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC5 | Lower Third Use | Name/title cards: present, absent, style | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC6 | Emoji/Sticker Use | Informal visual elements overlaid on video | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VC7 | Caption/Subtitle Style | If subtitles present: burned-in, word-by-word, animated, etc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Motion & Editing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD1 | Cut Frequency | How often the video cuts to a different shot | 0.6 | 35 | 0 | 0 | 8.7 | 1.4 | 5.8 | 0.3 | 1.6 | 0 | 0 | 8.1 | 6 | 0 | 0 | 0 | 1.2 | 1 | 0 | — | 0 | 0 | 0 | 0 | 4.8 | 9.1 | 0 | 1.2 | 28.6 | 18.5 | 0 | 0 | 2 | 0 | 0.7 | 22.2 | 0 | 0 | 0 | 1.2 | 3.9 | 18.4 | 2.7 | 3 | 6.6 | 6.6 | 2.5 | 15 | 0.9 | 0 | 9.3 | 2.7 | 0 | 0 | 0 | 0 | 0 | 0.6 | 16 | 2 | 0 | 2.1 | 6.3 | 9.5 | 7.2 | 0.4 | 0.5 | 4.7 | ||
| VD2 | Transition Types | What happens between cuts: hard cut, crossfade, wipe, zoom, jump cut | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD3 | Subject Movement Level | How much the person moves within a shot (0–10 scale) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD4 | Gesture Type Distribution | What hands/body communicate: illustrative, emphatic, rhythmic, pointing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD5 | Gesture Frequency | How often they gesture | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD6 | B-Roll Frequency | How often non-subject footage is used | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD7 | B-Roll Type | Kind of supplementary footage: stock, original, diagram, screen recording | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD8 | Zoom/Pan Events | In-post camera movement effects (Ken Burns etc.) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD9 | Visual Pacing Rhythm | Temporal feel of edits: metronomic, accelerating, varied, chaotic | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| VD10 | Facial Expression Range | Range of emotions: deadpan(1) to theatrical(5) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| D6: Polish | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Production Quality | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P1 | Audio Quality (SNR) | Signal-to-noise ratio of the audio | 26.7 | 28.4 | 31.2 | 33.8 | 27.8 | 24.2 | 22.6 | 25.6 | 31.3 | 26 | 44.6 | 44.9 | 32.3 | 34.6 | 26.6 | 21.3 | 38.9 | 32.7 | 20.8 | 35.4 | 23.5 | 28.4 | 32.5 | 50.7 | 21.7 | 28.3 | 38 | 35.6 | 28.9 | 33.5 | 32 | 26.5 | 46.5 | 22.7 | 23.6 | 36.5 | 22.1 | 31.2 | 27 | 44.6 | 38.6 | 31.7 | ||||||||||||||||||||||||||||
| P2 | Video Resolution | Technical quality from file metadata | 1280x720 | 720x1280 | 1080x1920 | 1080x1920 | 1280x720 | 1280x720 | 1280x720 | 1280x720 | 540x960 | 1280x720 | 1080x1920 | 1080x1920 | 720x1280 | 1280x720 | 1080x1920 | 1080x1920 | 1280x720 | 1280x720 | 720x720 | — | 480x854 | 480x854 | 480x854 | 1080x1920 | 1280x720 | 720x1280 | 720x1278 | 1280x720 | 720x1280 | 1080x1920 | 1080x1920 | 1080x1920 | 1080x1920 | 720x1280 | 1280x720 | 1080x1920 | 1080x1920 | 720x1280 | 1080x1920 | 1280x720 | 1280x720 | 1080x1920 | 720x1280 | 1280x720 | 1280x720 | 1280x720 | 1280x720 | 1080x1920 | 1080x1920 | 1080x1920 | 1080x1920 | 720x1280 | 1080x1920 | 1280x720 | 320x240 | 320x240 | 320x240 | 1280x720 | 1080x1920 | 1280x720 | 360x640 | 1080x1920 | 1080x1920 | 1080x1920 | 1280x720 | 1280x720 | 1280x720 | 1080x1920 | ||
| P3 | Edit Cleanliness | How smooth the editing is (1–4 scale) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P4 | Color Grading | Whether color has been professionally treated | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P5 | Consistency Across Content | How much production quality varies piece to piece | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P6 | Polish–Content Contrast | Gap between production sophistication and content informality | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P7 | Production Elements Count | How many features: intro, outro, music, SFX, graphics, lower thirds | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P8 | Music / Sound Design | Presence and role of non-speech audio | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P9 | Thumbnail Quality | How much effort the thumbnail shows (1–4 scale) | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P10 | Polish Strategic Purpose | WHY this level of polish was chosen: trust, authenticity, brand, budget | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Human Error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P11 | Mistake Frequency | How often errors occur per piece | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 0 | 5 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 0 | 2 | 3 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 6 | 3 | 1 | 0 | 2 | 1 | 1 | 0 | 4 | 1 | 1 | 1 | |||||
| P12 | Mistake Type Distribution | Kinds of mistakes: verbal slip, factual error, confusion, self-correction | {"verbal_slip": 1, "self_correction": 0, "confusion_moment": | {"verbal_slip": 2, "self_correction": 2, "confusion_moment": | {"verbal_slip": 1, "self_correction": 1, "confusion_moment": | {"verbal_slip": 0, "self_correction": 0, "confusion_moment": | {"verbal_slip": 1, "self_correction": 1, "confusion_moment": | {"verbal_slip": 2, "self_correction": 2, "confusion_moment": | {"verbal_slip": 2, "self_correction": 1, "confusion_moment": | {"verbal_slip": 2, "self_correction": 1, "confusion_moment": | {"verbal_slip": 1, "self_correction": 0, "confusion_moment": | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P13 | Mistake Severity | How serious: trivial, noticeable, understanding-threatening | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 4, "noticeable": 1, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 1, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 0, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 1, "understanding_threatening": | none | {"trivial": 3, "noticeable": 1, "understanding_threatening": | none | none | none | none | {"trivial": 0, "noticeable": 0, "understanding_threatening": | none | {"trivial": 3, "noticeable": 0, "understanding_threatening": | none | none | low | none | none | {"trivial": 4, "noticeable": 1, "understanding_threatening": | none | none | none | minor | {"trivial": 3, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 1, "understanding_threatening": | none | {"trivial": 2, "noticeable": 0, "understanding_threatening": | {"trivial": 2, "noticeable": 1, "understanding_threatening": | 2 | {"trivial": 1, "noticeable": 1, "understanding_threatening": | 2 | none | none | minimal | {"trivial": 1, "noticeable": 0, "understanding_threatening": | none | {"trivial": 5, "noticeable": 1, "understanding_threatening": | {"trivial": 3, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | none | {"trivial": 2, "noticeable": 0, "understanding_threatening": | minimal | minor | none | {"trivial": 3, "noticeable": 1, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | {"trivial": 1, "noticeable": 0, "understanding_threatening": | minimal | |||||||
| P14 | Mistake Timing | WHEN in the content mistakes happen: early, middle, late, at key moment | {"early": 0, "middle": 1, "late": 0} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 0, "late": 0} | {"early": 1, "middle": 3, "late": 1} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 1, "late": 0} | {"early": 0, "middle": 1, "late": 0} | {"early": 0, "middle": 1, "late": 2} | {"early": 0, "middle": 0, "late": 0} | {"early": 0, "middle": 0, "late": 0} | none | {"early": 1, "middle": 3, "late": 0} | none | none | none | none | {"early": 0, "middle": 0, "late": 0} | none | none | none | throughout | none | none | {"early": 1, "middle": 3, "late": 1} | none | none | none | mid | {"early": 1, "middle": 2, "late": 0} | none | {"early": 0, "middle": 2, "late": 1} | 37 | {"early": 0, "middle": 2, "late": 0} | 0 | n/a | n/a | mid_demo | {"early": 0, "middle": 1, "late": 0} | n/a | {"early": 1, "middle": 3, "late": 2} | {"early": 0, "middle": 2, "late": 1} | {"early": 0, "middle": 1, "late": 0} | n/a | {"early": 1, "middle": 1, "late": 0} | opening | early | n/a | {"early": 2, "middle": 1, "late": 1} | {"early": 0, "middle": 1, "late": 0} | {"early": 0, "middle": 1, "late": 0} | mid_content | ||||||||||||||||
| P15 | Mistake-to-Correction Ratio | How many mistakes get corrected | 0 | 40 | 67 | 100 | 100 | 33 | 33 | 25 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P16 | Correction Style | How they handle mistakes: smooth, explicit, comedic, ignored | ignored | none | none | none | none | smooth_recovery | smooth_recovery | smooth_recovery | smooth_recovery | none | smooth_recovery | none | ignored | ignored | explicit_acknowledgment | none | none | smooth_recovery | smooth_recovery | none | comedic_spin | none | none | none | none | smooth_recovery | none | smooth_recovery | none | none | none | none | none | explicit_acknowledgment | none | none | none | none | smooth_recovery | smooth_recovery | none | smooth_recovery | explicit_acknowledgment | immediate_restart | comedic_spin | explicit_collaborative | n/a | n/a | n/a | ignored | n/a | explicit_acknowledgment | smooth_recovery | smooth_recovery | n/a | ignored | n/a | n/a | n/a | explicit_acknowledgment | comedic_spin | ignored | n/a | |||||||
| P17 | Humanization Effect | Whether mistakes increase (+) or decrease (-) trust | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| P18 | Mistake–Content Placement | % of mistakes at crucial explanatory moments vs non-critical | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| D7: Rhythm | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| R1 | Energy Arc | Composite trajectory of intensity over full content (0–100%) | even opening-to-middle; sustained to close; peak at ~5% | Even opening-to-middle; sustained to close; peak at ~5%. Rem | Even opening-to-middle; sustained to close; peak at ~85%. La | even opening-to-middle; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~85% | even opening-to-middle; sustained to close; peak at ~5% | Even opening-to-middle; sustained to close; peak at ~65%. En | Even opening-to-middle; sustained to close; peak at ~15%. Fr | even opening-to-middle; sustained to close; peak at ~25% | Wave pattern — even opening-to-middle with dips at 20% and 7 | Builds from opening; sustained to close; peak at ~55%. Energ | Builds from opening; energy fades at end; peak at ~35%. Clas | {"decile_energy_db": [-15.1, -18.4, -17.6, -14.7, -15.5, -11 | even opening-to-middle; sustained to close; peak at ~45% | Even opening-to-middle; sustained to close; peak at ~5%. Ver | strong opening, drops mid; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~5% | strong opening, drops mid; strong finish; peak at ~15% | strong opening, drops mid; sustained to close; peak at ~25% | strong opening, drops mid; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~65% | Even opening-to-middle; sustained to close; peak at ~5%. Fro | strong opening, drops mid; sustained to close; peak at ~65% | even opening-to-middle; sustained to close; peak at ~5% | Even opening-to-middle; sustained to close; peak at ~5%. Ext | even opening-to-middle; sustained to close; peak at ~65% | builds from opening; energy fades at end; peak at ~45% | even opening-to-middle; sustained to close; peak at ~5% | strong opening, drops mid; sustained to close; peak at ~5% | even opening-to-middle; sustained to close; peak at ~75% | even opening-to-middle; sustained to close; peak at ~25% | even opening-to-middle; energy fades at end; peak at ~25% | Descending arc — energy peaks at opening (~5%) and steadily | even opening-to-middle; sustained to close; peak at ~35% | even opening-to-middle; sustained to close; peak at ~55% | even opening-to-middle; sustained to close; peak at ~25% | even opening-to-middle; sustained to close; peak at ~65% | even opening-to-middle; sustained to close; peak at ~75% | Even opening-to-middle; sustained to close; peak at ~45%. En | even opening-to-middle; sustained to close; peak at ~95% | even opening-to-middle; sustained to close; peak at ~85% | |||||||||||||||||||||||||||
| R2 | Tension-Release Cycles | Build-then-release patterns where multiple parameters rise then drop | 4 | 1 | 0 | 0 | 1 | 4 | 4 | 5 | 8 | 4 | 5 | 2 | 1 | 2 | 4 | 2 | 3 | 4 | 5 | 0 | 6 | 2 | 1 | 1 | 0 | 2 | 1 | 6 | 1 | 1 | 1 | 1 | 1 | 5 | 2 | 1 | 3 | 0 | 4 | 5 | 1 | 3 | 6 | 8 | 2 | 6 | 2 | 2 | 1 | 1 | 1 | 3 | 0 | 3 | 4 | 4 | 1 | 7 | 2 | 3 | 1 | 5 | 5 | 4 | 3 | |||||
| R3 | Format Consistency | How similar the rhythm is across different pieces by same educator | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| R4 | Attention Reset Frequency | How often the format shifts to re-engage | 90 | 120 | 75 | 15 | 45 | 90 | 60 | 60 | 45 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| R5 | Pacing Variation | How much temporal feel changes within a single piece | 2.8 | 0.1 | 0.5 | 3.9 | 0.8 | 0 | 10.8 | 7.8 | 34 | 0 | 0 | 0 | 0 | 5.3 | 11.3 | 0 | 2 | 0 | 0 | 3.6 | 82.4 | 71.5 | 3.3 | 21.4 | 3.5 | 3.7 | 2.1 | |||||||||||||||||||||||||||||||||||||||||||
| R6 | Climax Placement | Where the most intense moment falls as % through content | 5 | 5 | 85 | 5 | 5 | 5 | 85 | 65 | 15 | 25 | 55 | 55 | 35 | 55 | 45 | 5 | 5 | 5 | 15 | 25 | 5 | 65 | 5 | 65 | 5 | 5 | 5 | 5 | 75 | 25 | 25 | 5 | 35 | 55 | 25 | 65 | 75 | 45 | 95 | 85 | ||||||||||||||||||||||||||||||
| R7 | Segment Length Consistency | How regular the chunks are (coefficient of variation) | mostly_regular | very_regular | very_regular | mostly_regular | mostly_regular | mostly_regular | mostly_regular | very_regular | very_regular | very_regular | mostly_regular | mostly_regular | mostly_regular | varied | varied | mostly_regular | varied | mostly_regular | mostly_regular | single_block | varied | single_narrative | candidate_units | argument_chain | uniform_parallel | very_regular | loose_vignette | irregular | single_arc | single_arc | stream_of_consciousness | argument_then_steps | high | very_regular | low | high | high | perfect | mostly_regular | mostly_regular | high | high | mostly_regular | very_regular | none | mostly_regular | none | none | consistent_news_format | consistent_narrative_voice | consistent_demo_format | mostly_regular | consistent_conversational | mostly_regular | mostly_regular | mostly_regular | single_segment_format | very_regular | consistent_review_format | consistent_qa_dialogue | consistent_explainer_format | mostly_regular | mostly_regular | mostly_regular | consistent_numbered_debunk | |||||