Statistics
Some Fun Numbers
Note that these statistics are generated from not perfectly accurate computer generated transcripts and speaker detection, so they're for fun as opposed to research.
| Global Statistic |
Value |
| Total Length of all Episodes |
1174h:32m:07.5s |
| Total Number of Words Spoken |
14483934 |
| Average WPM (Words Per Minute) Across All Episodes |
205.5wpm |
| Episode Statistic |
Episode |
Value |
| Longest Episode (time) |
atp538.mp3 |
03h:34m:04.7s |
| Shortest Episode (time) |
atp1.mp3 |
14m:36.0s |
| Highest WPM episode |
atp225.mp3 |
229.8wpm |
| Lowest WPM episode |
atp578.mp3 |
167.9wpm |
Note: I did not include episodes that predated chapters in the below statistics.
| Chapter Statistic |
Episode |
Chapter |
Value |
| Highest WPM chapter |
atp343.mp3 |
3 |
285.4wpm |
| Lowest WPM chapter (likely the theme song, which voice recognition does not like) |
atp344.mp3 |
19 |
28.6wpm |
| Longest Chapter (time) |
atp573.mp3 |
16 |
01h:54m:10.2s |
| Shortest Chapter (time) |
atp453.mp3 |
4 |
00m:04.3s |
Speaker Statistics
Speaker Note: These counts will be higher than actual, as anytime two people were detected speaking we count all detected words during that period for both speakers.
Speaker Note 2: Flashlight often has difficulty detecting words that are sung, so I'd completely discount Jonathan Mann's word count.
Speaker Note 3: Pyannote speaker diarization is not correctly detecting all guests (episode 202 has some issues...), so counts are further inaccurate.
| Speaker |
Spoken Word Count Across All Episodes (est) |
| John |
7172961 words |
| Marco |
4880280 words |
| Casey |
2506441 words |
| Chris Lattner |
35019 words |
| Tiff Arment |
15591 words |
| Christina Warren |
7656 words |
| Phil Schiller |
6349 words |
| Jonathan Mann |
5570 words |
Word Cloud
Below is a word cloud generated across all episodes. Note that I manually picked out a list of ignored words so more interesting ones came to the top. The full list is below.
Ignored Words
a|s|the|an|the|to|in|for|of|or|by|with|is|on|that|be|you|like|so|but|want|don't|i|this|not|know|just|have|would|my|what|can|do|was|thing|things|think|people|more|when|right|out|get|going|way|could|me|no|now|from|really|where|even|which|make|very|well|who|say|time|yeah|much|stuff|use|good|other|how|why|see|lot|didn't|up|we|than|every|name|had|kind|first|point|little|back|will|couple|own|while|yet|should|has|said|talk|those|show|less|probably|bad|trying|feel|most|long|sure|basically|here|hey|two|maybe|enough|space|occasionally|least|whether|guess|using|over|never|many|number|half|easier|matter|miss|yes|understand|resources|room|fact|based|looks|different|roll|few|put|fine|ever|great|new|us|remember|case|hear|same|sink|year|super|having|come|working|certain|certainly|last|though|third|far|problem|let|unless|entire|worth|nice|our|seven|days|oh|three|tell|started|five|reasons|deal|brand|exactly|still|ten|needs|difference|made|making|second|find|except|months|tackle|hundred|um|eight|under|either|deal|day|follow|extraordinarily|spawned|grew|excluding|spun|consider|perceive|direct|concretely|clearly|targeting|combination|eliminates|tried|definitely|part|give|running|look|guy|listen|paragraphs|opposite|especially|extraordinarily|need|please|neither|turning|regard|through|specific|happens|tedious|process|moving|take|six|sixty|nine|got|possibly|perfect|left|worry|may|bring|gone|sell|obviously|thousand|thirty|god|past|fifty|front|happened|goes|per|man|came|happen|similar|bunch|close|twelve|called|go|four|hard|wait|big
