Impetus

Due to some research and related writing I’ve been working on which revolve around the potential for disruption in the auto industry, I have wanted the ability to quickly search the Asymcar and The Critical Path podcasts to locate material I remember hearing.

Naturally, this is difficult at best with the material in audio format only.  I know that an edited version of the first year of TCP was presented in a book format some time ago. But since Asymcar contains much of the content that I needed to reference, I decided that a transcription was in order.

The idea of a broader treatment of both podcasts, produced collaboratively with the shows’ audience(s) is something I’ve floated to Horace. He expressed interest, and hopefully it’s something that we can find some time to get rolling. For an hour show, if 60 people took 5 minutes to work on a 1-minute slice each, then each episode would take 5 minutes to transcribe.  Together we all could easily knock out an episode a day while eating our lunches.  🙂

In the meantime, I decided I could not wait and plunged ahead with transcribing Asymcar.  After one episode and, I estimate, in excess of 10 hours taken in lunch-break sized bits, I realized that the task really is better suited to a crowd.  And so I’ll likely need to wait.

However, I thought it would be interesting to run a bit of analysis on the one episode I did manage.  I look forward to running the same inspection on the full range to see how the metrics go over time.  This post will contain the metrics, and the next (and probably final) post for this blog will contain the transcript itself.

The copyright for the content of the transcription of the episode is held by the copyright holder(s) of the Asymcar podcast itself, as far as my meager legal knowledge goes.

Note: there are some slight inaccuracies in the data presented below.  See notes at the end of the post for details.

Word counts

Number of words: 8,872

Number of words (Horace): 8029

Number of words (Jim): 843

wordshare

Frequent words, per minute slice (English language common words filtered out)
Note: top row is time index for a minute-slice (above the frequent words for that slice) followed by number of words in that slice (above the frequency counts)

0 (132) 1 (110) 2 (101) 3 (124) 4 (119) 5 (138) 6 (121) 7 (130) 8 (159) 9 (134) 10 (152) 11 (129) 12 (106) 13 (167) 14 (160) 15 (147) 16 (131) 17 (152) 18 (160) 19 (176) 20 (218) 21 (191) 22 (148) 23 (150) 24 (142) 25 (176) 26 (176) 27 (135) 28 (174) 29 (188) 30 (175) 31 (145) 32 (158) 33 (216) 34 (179) 35 (158) 36 (133) 37 (127) 38 (158) 39 (163) 40 (169) 41 (187) 42 (150) 43 (122) 44 (132) 45 (144) 46 (153) 47 (180) 48 (163) 49 (157) 50 (189) 51 (165) 52 (152) 53 (165) 54 (161) 55 (156) 56 (163) 57 (116)
  • car
  • huge
  • everybody
  • business
  • cars
  • 3
  • 2
  • 2
  • 2
  • 2
  • cars
  • many
  • produce
  • countries
  • companies
  • 5
  • 3
  • 2
  • 2
  • 2
  • through
  • brands
  • gotten
  • performers
  • worse
  • become
  • going
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • cars
  • whether
  • product
  • getting
  • thing
  • lot
  • side
  • more
  • success
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • toyota
  • innovation
  • product
  • admiration
  • object
  • cars
  • really
  • more
  • becoming
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • school
  • production
  • detroit
  • war
  • during
  • manufacturing
  • industry
  • book
  • great
  • thing
  • became
  • organization
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • production
  • lot
  • goes
  • actually
  • system
  • tooling
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • engines
  • industry
  • auto
  • book
  • lot
  • manufacturers
  • ii
  • war
  • world
  • aircraft
  • production
  • cars
  • 4
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • industry
  • looked
  • value
  • terms
  • aircraft
  • higher
  • 20s
  • car
  • 5
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • product
  • thing
  • tesla
  • something
  • usually
  • what’s
  • right
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • lotus
  • may
  • disrupting
  • view
  • point
  • very
  • chassis
  • based
  • launched
  • tesla
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • problems
  • service
  • idea
  • train
  • power
  • issues
  • transportation
  • car
  • disruptive
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • column
  • tesla
  • one:
  • size
  • people:
  • dollars
  • deployed
  • capital
  • approach
  • 5
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • list
  • down
  • haven’t
  • why
  • actually
  • tesla
  • done
  • job
  • thing
  • next
  • utility
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • india
  • tata
  • rethink
  • process
  • problem
  • group
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • right
  • thing
  • idrive
  • manufacturing
  • very
  • plants
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • computing
  • thing
  • computers
  • went
  • seen
  • industry
  • build
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • cars
  • frame
  • body
  • things
  • 5
  • 3
  • 2
  • 2
  • 2
  • toyota
  • japan
  • plant
  • stamping
  • together
  • done
  • cars
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • plant
  • cost
  • exactly
  • long
  • fab
  • mortgage
  • paying
  • car
  • said
  • toyota
  • yeah
  • 60
  • 40
  • 5
  • 4
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • said
  • yes
  • got
  • ask
  • people
  • car
  • guys
  • best
  • you’ve
  • let’s
  • didn’t
  • 4
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • very
  • build
  • exactly
  • cars
  • jobs
  • manufacturing
  • industry
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • printing
  • 3d
  • deal
  • train
  • power
  • 3
  • 3
  • 2
  • 2
  • 2
  • very
  • idea
  • racing
  • problem
  • run
  • process
  • car
  • 4
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • contract
  • committed
  • very
  • markets
  • 3
  • 3
  • 2
  • 2
  • contract
  • design
  • hp
  • project
  • product
  • touch
  • manufacturers
  • somebody
  • computer
  • phone
  • picks
  • computers
  • someone
  • 4
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • right
  • industry
  • tiny
  • tvs
  • brand
  • 3
  • 2
  • 2
  • 2
  • 2
  • demand
  • massive
  • right
  • batch
  • actually
  • limited
  • plants
  • existing
  • product
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • root
  • own
  • yes
  • contract
  • 3
  • 2
  • 2
  • 2
  • actually
  • maybe
  • many
  • build
  • car
  • something
  • things
  • find
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • fact
  • celebrated
  • beetle
  • vw
  • respect
  • country
  • people
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • apps
  • faith
  • things
  • impossible
  • great
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • waiting
  • problem
  • cars
  • job
  • transportation
  • more
  • somebody
  • people
  • 4
  • 4
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • cars
  • thing
  • better
  • electric
  • car
  • manufacturer
  • done
  • we’ll
  • problem
  • information
  • 5
  • 3
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • need
  • buy
  • actually
  • much
  • beyond
  • fuel
  • yeah
  • capital
  • suddenly
  • apps
  • problems
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • bought
  • brand
  • saab
  • metering
  • built
  • along
  • uk
  • pick
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • kinds
  • does
  • issues
  • self-driving
  • happen
  • 2
  • 2
  • 2
  • 2
  • 2
  • transistor
  • great
  • state
  • solid
  • story
  • cars
  • problem
  • technology
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • radios
  • quality
  • console
  • room
  • transistor
  • market
  • we’re
  • amplification
  • said
  • tvs
  • 4
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • going
  • car
  • right?
  • transistor
  • drive
  • cars
  • we’re
  • trying
  • google
  • technology
  • existing
  • 3
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • parking
  • maybe
  • self-driving
  • better
  • building
  • become
  • spot
  • itself
  • simply
  • done
  • job
  • problem
  • 4
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • whole
  • air
  • lot
  • remember
  • yep
  • small
  • ago
  • years
  • somewhat
  • right
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • lot
  • idea
  • fragile
  • too
  • 3
  • 2
  • 2
  • 2
  • rubbish
  • things
  • least
  • 2
  • 2
  • 2
  • women
  • more
  • maybe
  • (laughter)
  • cars
  • car
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • mini
  • little
  • colors
  • through
  • brand
  • 3
  • 3
  • 2
  • 2
  • 2
  • clothes
  • off
  • hire
  • sense
  • shows
  • looking
  • job
  • feeling
  • thing
  • clothing
  • little
  • car
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • mini
  • minis
  • lot
  • notice
  • start
  • drive
  • together
  • obviously
  • things
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • more
  • cars
  • done
  • job
  • anyway
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • car
  • suv
  • oh
  • compact
  • crossover
  • minivan
  • builds
  • somebody
  • buy
  • everybody
  • segment
  • language
  • talk
  • they’ll
  • 5
  • 4
  • 4
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • same
  • much
  • german
  • french
  • car
  • bmw
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • same
  • meant
  • robots
  • process
  • world
  • car
  • tools
  • start
  • brand
  • mostly
  • 12
  • 4
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • same
  • paint
  • growing
  • shop
  • world
  • process
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • lot
  • going
  • job
  • end
  • transportation
  • public
  • done
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • bus
  • driving
  • stress
  • maybe
  • school
  • son
  • exactly
  • hour
  • more
  • thing
  • figure
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • people
  • easily
  • thing
  • something
  • more
  • bit
  • little
  • cost
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • roads
  • things
  • few
  • talk
  • gets
  • process
  • mind
  • 4
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • roads
  • bikes
  • plug-compatible
  • vehicle
  • cannot
  • 3
  • 2
  • 2
  • 2
  • 2

Words per minute

wordsperminute_episode1

Text analysis metrics, topical impressions
  • Conversational topic arc (stacked bar – check back later)
  • Which topics the hosts are most passionate about (topic during top 5 WPM minute slices)
    (Minutes 20, 33, 29, 41, 50 appear to be the highest WPM)

    • 20 Tesla follows the plan
    • 33 How thinking about JTBD could lead an asymmetric entrant to disrupt
    • 29 Maybe it’s not even a car; how the naïve can unintentionally disrupt when they see an unmet need
    • 41 Air taxis and cramming
    • 50 Auto makers and the undifferentiated portfolio “strategy”
  • *Lexical density 30.668%
  • *Gunning-Fog index (readability; 6=easy, 20=hard) 5.456
  • *Average sentence length 8.54 words
Mentions of interest (people, car brands, car models, countries, etc.)

Note: only includes words that were present more than once in the podcast.

Car Brands/sub-brands

Marques_episode1

Car models/processes

Models_processes_episode1

Vehicle types

Vehicle_types_episode1

Non-automotive brands

Google: 3
HP: 3
Foxconn: 2

Places and peoples

Places_peoples_episode1

People

Clay: 2
Horace: 2

Most frequent words

(English language common words filtered out)

  • car: 62
  • cars: 56
  • thing: 35
  • same: 30
  • things: 28
  • right: 27
  • lot: 26
  • industry: 25
  • people: 23
  • actually: 23
  • more: 23
  • problem: 22
  • job: 22
  • going: 22
  • maybe: 21
  • done: 20
  • idea: 20
  • very: 18
  • product: 17
  • yeah: 16
  • production: 16
  • world: 16
  • something: 16
  • exactly: 15
  • need: 13
  • process: 13
  • point: 13
  • much: 13
  • built: 13
  • many: 13
  • got: 13
  • brand: 12
  • little: 12
  • plant: 12
  • whole: 12
  • manufacturing: 12
  • contract: 11
  • tesla: 11
  • problems: 11
  • right?: 11
  • really: 11
  • why: 11
  • better: 11
  • value: 11
  • build: 10
  • probably: 10
  • said: 10
  • yes: 10
  • too: 10
  • fact: 10
  • through: 10
  • great: 10
  • business: 10
  • somebody: 9
  • bit: 9
  • design: 9
  • cost: 9
  • did: 9
  • let’s: 9
  • disruptive: 9
  • being: 9
  • long: 9
  • does: 9
  • course: 9
  • model: 9
  • example: 9
  • transistor: 8
  • mini: 8
  • drive: 8
  • off: 8
  • someone: 8
  • create: 8
  • market: 8
  • might: 8
  • may: 8
  • put: 8
  • issues: 8
  • oh: 8
  • those: 8
  • sense: 8
  • start: 8
  • getting: 8
  • few: 8
  • down: 8
  • building: 8
  • terms: 8
  • roads: 7
  • they’ll: 7
  • technology: 7
  • saying: 7
  • every: 7
  • ask: 7
  • buy: 7
  • manufacturer: 7
  • together: 7
  • again: 7
  • small: 7
  • transportation: 7
  • usually: 7
  • next: 7
  • here: 7
  • anyway: 7
  • made: 7
  • run: 7
  • talk: 7
  • toyota: 7
  • country: 7
  • making: 7
  • we’re: 6
  • information: 6
  • existing: 6
  • says: 6
  • happen: 6
  • stuff: 6
  • should: 6
  • pick: 6
  • along: 6
  • trying: 6
  • plants: 6
  • company: 6
  • haven’t: 6
  • column: 6
  • driving: 6
  • power: 6
  • didn’t: 6
  • you’ve: 6
  • goes: 6
  • solve: 6
  • auto: 6
  • another: 6
  • they’ve: 6
  • best: 6
  • become: 6
  • ways: 6
  • companies: 6
  • jobs: 6
  • manufacturers: 6
  • sort: 6
  • data: 6
  • years: 6
  • everybody: 6
  • what’s: 6
  • tell: 6
  • bought: 6
  • public: 5
  • paint: 5
  • suv: 5
  • women: 5
  • obviously: 5
  • self-driving: 5
  • waiting: 5
  • apps: 5
  • tiny: 5
  • niche: 5
  • impossible: 5
  • electric: 5
  • else: 5
  • guys: 5
  • phone: 5
  • doesn’t: 5
  • exciting: 5
  • available: 5
  • happened: 5
  • computing: 5
  • bmw: 5
  • doing: 5
  • india: 5
  • list: 5
  • sure: 5
  • meant: 5
  • essentially: 5
  • capital: 5
  • train: 5
  • deal: 5
  • expensive: 5
  • suddenly: 5
  • beyond: 5
  • japan: 5
  • war: 5
  • book: 5
  • came: 5
  • rather: 5
  • innovation: 5
  • interesting: 5
  • brands: 5
  • far: 5
  • away: 5
  • selling: 5
  • huge: 5
  • mentioned: 5
  • happening: 5
  • bus: 4
  • minis: 4
  • having: 4
  • taking: 4
  • took: 4
  • quality: 4
  • can’t: 4
  • radios: 4
  • simply: 4
  • kinds: 4
  • gonna: 4
  • whatever: 4
  • end: 4
  • ago: 4
  • saab: 4
  • sell: 4
  • tvs: 4
  • ideas: 4
  • ok: 4
  • find: 4
  • big: 4
  • mostly: 4
  • robots: 4
  • anything: 4
  • themselves: 4
  • computers: 4
  • do-it-yourself: 4
  • using: 4
  • seen: 4
  • rethink: 4
  • mean: 4
  • billions: 4
  • approach: 4
  • service: 4
  • early: 4
  • solved: 4
  • looking: 4
  • happens: 4
  • growing: 4
  • least: 4
  • story: 4
  • went: 4
  • engines: 4
  • aircraft: 4
  • question: 4
  • school: 4
  • during: 4
  • system: 4
  • side: 4
  • integrated: 4
  • europe: 4
  • emerging: 4
  • money: 4
  • large: 4
  • number: 4
  • around: 4
  • industries: 4
  • bikes: 3
  • infrastructure: 3
  • german: 3
  • compact: 3
  • crossover: 3
  • clothes: 3
  • seeing: 3
  • fragile: 3
  • air: 3
  • ones: 3
  • parking: 3
  • takes: 3
  • google: 3
  • room: 3
  • radio: 3
  • amplification: 3
  • state: 3
  • solid: 3
  • itself: 3
  • wealthy: 3
  • solving: 3
  • city: 3
  • economics: 3
  • celebrated: 3
  • respect: 3
  • used: 3
  • enough: 3
  • yep: 3
  • root: 3
  • demand: 3
  • type: 3
  • today: 3
  • i’ll: 3
  • computer: 3
  • hp: 3
  • finland: 3
  • won’t: 3
  • kind: 3
  • break: 3
  • committed: 3
  • apply: 3
  • racing: 3
  • guy: 3
  • printing: 3
  • 3d: 3
  • place: 3
  • forth: 3
  • figure: 3
  • smart: 3
  • instead: 3
  • massive: 3
  • remember: 3
  • lines: 3
  • possible: 3
  • quite: 3
  • factory: 3
  • stamping: 3
  • dealing: 3
  • frame: 3
  • body: 3
  • without: 3
  • own: 3
  • putting: 3
  • hobbyist: 3
  • makes: 3
  • already: 3
  • group: 3
  • tata: 3
  • here’s: 3
  • nano: 3
  • feel: 3
  • call: 3
  • vehicle: 3
  • size: 3
  • one:: 3
  • everywhere: 3
  • hire: 3
  • view: 3
  • willing: 3
  • based: 3
  • lotus: 3
  • realize: 3
  • change: 3
  • beginning: 3
  • certainly: 3
  • changing: 3
  • proposition: 3
  • looked: 3
  • mass: 3
  • factories: 3
  • tools: 3
  • tooling: 3
  • thought: 3
  • before: 3
  • i’ve: 3
  • called: 3
  • ii: 3
  • became: 3
  • object: 3
  • wasn’t: 3
  • thinking: 3
  • once: 3
  • less: 3
  • dimension: 3
  • fuel: 3
  • whether: 3
  • focus: 3
  • parts: 3
  • purchase: 3
  • although: 3
  • decades: 3
  • markets: 3
  • gotten: 3
  • worse: 3
  • aren’t: 3
  • five: 3
  • read: 3
  • countries: 3
  • especially: 3
  • hundred: 3
  • plug-compatible: 2
  • gets: 2
  • mind: 2
  • stress: 2
  • son: 2
  • hour: 2
  • productive: 2
  • busses: 2
  • shop: 2
  • french: 2
  • category: 2
  • minivan: 2
  • builds: 2
  • segment: 2
  • language: 2
  • categories: 2
  • second: 2
  • often: 2
  • notice: 2
  • competent: 2
  • shows: 2
  • feeling: 2
  • clothing: 2
  • colors: 2
  • following: 2
  • somehow: 2
  • absolutely: 2
  • (laughter): 2
  • answer: 2
  • phrase: 2
  • rubbish: 2
  • against: 2
  • states: 2
  • still: 2
  • suggesting: 2
  • customers: 2
  • bet: 2
  • never: 2
  • planes: 2
  • several: 2
  • somewhat: 2
  • spot: 2
  • console: 2
  • single: 2
  • aid: 2
  • hearing: 2
  • meantime: 2
  • research: 2
  • development: 2
  • transistors: 2
  • taxis: 2
  • network: 2
  • uk: 2
  • wasting: 2
  • supplied: 2
  • owning: 2
  • different: 2
  • potential: 2
  • myself: 2
  • what?: 2
  • we’ll: 2
  • traffic: 2
  • indeed: 2
  • likely: 2
  • change?: 2
  • tablet: 2
  • smartphone: 2
  • shift: 2
  • missing: 2
  • months: 2
  • faith: 2
  • outsider: 2
  • beetle: 2
  • vw: 2
  • though: 2
  • times: 2
  • engineering: 2
  • hey: 2
  • local: 2
  • looks: 2
  • bad: 2
  • fisker: 2
  • disruption: 2
  • hasn’t: 2
  • supplier: 2
  • batch: 2
  • limited: 2
  • set: 2
  • fitting: 2
  • porsche: 2
  • case: 2
  • vehicles: 2
  • buses: 2
  • trucks: 2
  • foxconn: 2
  • cayman: 2
  • couple: 2
  • tv: 2
  • stage: 2
  • involved: 2
  • touch: 2
  • center: 2
  • please: 2
  • picks: 2
  • yourself: 2
  • indigenous: 2
  • try: 2
  • outside: 2
  • performance: 2
  • optimized: 2
  • modular: 2
  • calls: 2
  • trajectory: 2
  • regulatory: 2
  • off-the-shelf: 2
  • certain: 2
  • differently: 2
  • existence: 2
  • definitely: 2
  • governments: 2
  • matter: 2
  • brightest: 2
  • indians: 2
  • cars?: 2
  • structures: 2
  • fab: 2
  • anymore: 2
  • mortgage: 2
  • paying: 2
  • move: 2
  • part: 2
  • sometimes: 2
  • steel: 2
  • hybrid: 2
  • sheet: 2
  • kit: 2
  • panels: 2
  • shelf: 2
  • components: 2
  • economy: 2
  • certified: 2
  • cannot: 2
  • modularized: 2
  • complicated: 2
  • dream: 2
  • dramatically: 2
  • changes: 2
  • germans: 2
  • idrive: 2
  • designers: 2
  • repurposed: 2
  • top: 2
  • produced: 2
  • given: 2
  • board: 2
  • clay: 2
  • taken: 2
  • exact: 2
  • utility: 2
  • b: 2
  • poor: 2
  • people:: 2
  • rich: 2
  • wall: 2
  • dollars: 2
  • line: 2
  • deployed: 2
  • checklist: 2
  • filling: 2
  • running: 2
  • particular: 2
  • drives: 2
  • fundamentally: 2
  • opportunity: 2
  • support: 2
  • sales: 2
  • aspect: 2
  • evolve: 2
  • distribution: 2
  • let: 2
  • disrupting: 2
  • behind: 2
  • opposite: 2
  • pay: 2
  • begin: 2
  • technologies: 2
  • chassis: 2
  • launched: 2
  • diesel: 2
  • places: 2
  • wonders: 2
  • services: 2
  • urbanization: 2
  • road: 2
  • higher: 2
  • 20s: 2
  • points: 2
  • 30s: 2
  • airplanes: 2
  • history: 2
  • automobiles: 2
  • later: 2
  • germany: 2
  • picked: 2
  • hired: 2
  • detroit: 2
  • blueprint: 2
  • stories: 2
  • amazing: 2
  • ship: 2
  • able: 2
  • structure: 2
  • organization: 2
  • marketing: 2
  • admiration: 2
  • differentiate: 2
  • becoming: 2
  • largest: 2
  • success: 2
  • volkswagen: 2
  • ownership: 2
  • form: 2
  • compromise: 2
  • bigger: 2
  • performers: 2
  • between: 2
  • across: 2
  • who’s: 2
  • produce: 2
  • means: 2
  • automobile: 2
  • developed: 2
  • economic: 2
  • driver: 2
  • knows: 2
  • subject: 2
  • talking: 2
  • horace: 2

Note: I set a filter to exclude words that were only mentioned a single time throughout the episode.  As a consequence there are a few omissions.  One example I know of is in the graph regarding Places and Peoples we have French represented with 2 instances.  I know for a fact that Horace said the word “Frenchness” which I’d count in with the French slice.  The aim of the analysis was to get in the ballpark.  Also, the JS code I used to parse and analyze the text prolly has bugs in it.  And to top it off, you’ll notice that I generally omitted filler words in the transcription itself (see next post containing the transcription).  Such was my wont.

A note:  my time and financial means are rather restricted (as you can see from my using the free WordPress account).  But then, I find that constraints can be quite catalytic of creativity, don’t you? 😉

Another note:  I discovered that the dictation feature of iOS can save on a lot of the initial typing.  I’m uncertain as to whether it actually saved any time, since there was enough cleanup and missed words/sentences that it still took a lot of time to go through what I had captured in that way and get it looking right.

Further note: I originally was using this tool to do textual analysis.  But it can only handle up to 1000 words, as far as I can tell.  So wrote my own here: http://jsfiddle.net/jinglesthula/77fxafes/  I also used this other one to do the pie charts.  Mmm. Pie.  http://jsfiddle.net/jinglesthula/vyjoc8ym/

* – These are very very rough.  I decided I couldn’t be bothered to write my own lexical density, ASL, or Fog index algorithms.  So I analyzed just under 10k characters at a time on http://www.usingenglish.com/resources/text-statistics.php, which is similar to the site linked above.  They’re only probably in the ballpark of what the actual numbers are, but should give some idea of where the content is at in those dimensions.

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Impetus

7 thoughts on “Impetus

  1. roger schutte says:

    The overcast iOS app has ability to slow down playback so I figured I’d try using it into Siri speech recognition into textedit on the Mac. Summary…this may not be too difficult to do automagically. 😉 Some transcriptionists on odesk.com look interesting. Maybe a kickstarter project to fund transcription? – Roger

    Like

    1. The Apple podcast app can also slow down playback, which is how I ended up doing most of the first episode. I only tried the playback + Siri capture at normal speed though. I’ll have to try it at 1/2 speed and see how it goes.

      As far as kickstarter, my issue isn’t money, but rather time. I have very little to spare. I think even better than crowdfunding a small number of people to do the work, crowdsourcing the work itself would be the most effective. Then, as new episodes arrive they could be completed within a day or two if 50-60 people pitch in 5 minutes each. The only thing is what platform to use.

      Like

  2. Vatdoro says:

    I’m working on a platform to transcribe podcasts. Podscribe. I love the concept of using crowdsourcing for podcast transcription. Sign up for the email list to be notified when it launches. This will be fun!

    Like

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