catatp.fm Unofficial Accidental Tech Podcast transcripts (generated by computer, so expect errors).

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 1032h:03m:11.3s
Total Number of Words Spoken 12873699
Average WPM (Words Per Minute) Across All Episodes 207.9wpm
Episode Statistic Episode Value
Longest Episode (time) atp384.mp3 03h:15m:02.0s
Shortest Episode (time) atp1.mp3 14m:36.0s
Highest WPM episode atp1.mp3 233.9wpm
Lowest WPM episode atp244.mp3 179.0wpm

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) atp434.mp3 7 01h:46m:17.9s
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 Coulton'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 6328506 words
Marco 4416178 words
Casey 2179912 words
Chris Latner 35019 words
Tiff Arment 15666 words
Christina Warren 8095 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

Word Cloud