Comprehensible input in English

Find something to watch

The number on each thumbnail is its difficulty score out of 100: mostly speaking pace, partly vocabulary load. How it is measured →

71/1002:54:09AUTONvidia Part III: The Dawn of the AI Era (2022-2023) (Audio)B2-C2 · ~8,000 words · fastAcquired71/10020:44AUTOBuild Podcast | Episode 196: My Personal Healthy HomeB2-C2 · ~7,000 words · fastMatt Risinger71/10033:45AUTOThe 2003 Aston Martin Vanquish Is Beautiful and UnderratedB2-C1 · ~6,000 words · fastDoug DeMuro71/10032:16AUTOImprove Flexibility with Research-Supported Stretching Protocols | Huberman Lab EssentialsB2-C2 · ~10,000 words · fastAndrew Huberman71/10033:05What happens if you just keep squaring?B2-C1 · ~7,000 words · fastVeritasium71/10029:59Let's Learn English! Topic: The Nouns of Your Day! ⏰✒️🪑 (Lesson Only)A2-B2 · ~3,000 words · fastLearn English with Bob the Canadian71/1004:24:20AUTOAmazon.comB2-C2 · ~6,000 words · fastAcquired71/1002:40:34AUTOJoe Rogan Experience #2375 - Tim DillonB1-C1 · ~4,000 words · fastPowerfulJRE71/1003:39:30AUTOGoogle Part I: Origins of Search. How the Best Business in Human History Happened (Audio)B2-C2 · ~7,000 words · fastAcquired71/1001:50:55AUTOSecret Buddhist Practice To Stop Self Hate & Overthinking!B1-B2 · ~4,000 words · fastThe Diary Of A CEO71/10030:55AUTOTime Perception, Memory & Focus | Huberman Lab EssentialsB2-C2 · ~9,000 words · fastAndrew Huberman71/10019:22LED Christmas lights still annoy me. Let's try some more fixes.B2-C2 · ~10,000 words · fastTechnology Connections71/10042:51AUTOIs Trump winning? | The Gray AreaB2-C2 · ~7,000 words · fastVox71/1002:25:58Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494B2-C2 · ~7,000 words · fastLex Fridman71/1001:00:50AUTOGoing Deep on the Vera Rubin Observatory, with Željko IvezićB2-C2 · ~7,000 words · fastStarTalk71/10029:03Why This Island Could Trigger World War 3B2-C2 · ~8,000 words · fastJohnny Harris71/10017:43Do Retention Ponds Actually Work?B2-C2 · ~11,000 words · fastPractical Engineering71/10014:47Why Hold Music Still SucksB2-C2 · ~8,000 words · fastSciShow71/10022:01The Impossible Ethical Bargain Behind African SafarisB2-C2 · ~11,000 words · fastWendover Productions71/10021:59Let's Learn English! Topic: Before and After! 🌼🏃‍♀️🏋🏼 (Lesson Only)B1-B2 · ~4,000 words · fastLearn English with Bob the Canadian71/10037:29Truth vs Lies: The Science of Why We Believe MisinformationB1-C1 · ~5,000 words · fastJohnny Harris71/1004:23:45AUTOMicrosoft Volume I: The Complete History and Strategy of founding through Windows 95 (Audio)B2-C2 · ~8,000 words · fastAcquired71/10040:50Plug-n-play solutions for home electrification, and options for power outages (Part 2)B2-C2 · ~8,000 words · fastTechnology Connections71/10015:38Austin Butler & Zoë Kravitz vs. Lie Detector | Vanity FairB1-B2 · ~3,000 words · fastVanity Fair

Which English channel to start with

Ranked by median difficulty, easiest first. The bar is a range, not a label — a channel typically spans a wide stretch of the scale, so one level would be false for its own hardest videos.

6 of these 7 channels carry the same vocabulary band (B1-B2), and their scores still run from 0 to 88. That gap is pace: what separates the easiest of these channels from the hardest is how fast people talk, not which words they use. How that is measured →