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Transcribing ProPublica podcast with Python and Watson Speech to Text API

Using IBM Watson Speech to Text API to translate a ProPublica podcast

An example of using the Watson Speech to Text API to translate a podcast from ProPublica: How a Reporter Pierced the Hype Behind Theranos

This is just a simpler demo of the same technique I demonstrate to make automated video supercuts in this repo: https://github.com/dannguyen/watson-word-watcher

The transcription takes just a few minutes (less if you parallelize the requests to IBM) and is free...but it isn't perfect by any means. It doesn't fare super well on proper nouns:

  • Charles Ornstein's last name is transcribed as Orenstein
  • John Carreyrou's last name becomes John Kerry Roo
  • Elizabeth Holmes is Elisabeth homes
  • Theranos isn't popular enough to be a proper noun yet, so it is transcribed, variously, as their in house, their nose, and thoroughness
  • in one instance, their Palo Alto headquarters is transcribed as they're palatable headquarters

On the other hand, ProPublica, Ken Auletta, David Boies are perfectly transcribed. Anyway, it's decent enough for keyword searching.

The watson-transcribe.py script is a Python 3.x script that:

  1. downloads the podcast
  2. splits it up into smaller WAV files
  3. uploads each WAV file to Watson's API to transcribe
  4. saves the JSON response
  5. parses the JSON response into two plaintext files

This gist contains what the plaintext files look like:

  • raw.txt.md - just the line-by-line transcription from Watson
  • words.csv - The word-by-word transcription, including the confidence level and the timestamps of the words.

and nbsp walking to the ProPublica podcast I'm Charlie Orenstein and I cover healthcare here at ProPublica

today we're gonna be talking about laboratory testing

it's no secret to many that lab testing has been caught in the dark ages of medicine

or you have to go to your doctor to get a prescription for a lab test

and then your doctor gets the results of the lab test if you're lucky will share with you

and then you'll be back to going to your doctor again if you need a follow up

a company called their in house aim to change that

founded in two thousand and three by Elisabeth homes

a nineteen year old drop out of Stanford University this company and to really shake up laboratory testing

it received fawning coverage from many mainstream media outlets including The New York Times

but John Kerry Roo a reporter at the Wall Street journal took a more critical look at their in house

and found that behind this glossy surface there were a lot of questions about both its effectiveness and the science that underlie its main products

John is joining us here on the podcast John Markham hi thanks for having so how did you decide to take a look at their house

well I had read Ken Auletta as profile of Elizabeth homes in the New Yorker in which I think came out in December of two thousand fourteen and

I found it interesting there were some brief critical %HESITATION sections in there that raised questions for me but I don't think all that much more of it and then as the calendar year turned to %HESITATION two thousand fifteen a couple weeks later mid two thousand fifteen I got a tip from someone not a primary source who had any primary information but someone who is a relating to me

some you know third hand information that that things might not be exactly as they seemed at this company thoroughness

so it's interesting because I think a number of reporters got tips along the way and and you were the one to pursue them I personally heard from somebody who said that his lab results didn't match the lab results he got from a different lab so it doesn't seem like this was a huge secret that there were questions out

right and shortly after I began looking into the company in and looking into this tip a Stanford on a medical school professor I believe %HESITATION put out a critical opinion piece in the journal of the American medical association

and he didn't really have any any information other than the say this is a company that was

making very bold statements about its breakthroughs in the science of laboratory testing saying that it could test for a number of conditions off just a drop of blood **** from the finger and yet it hadn't really done what you usually do in medicine which is a peer review

and he was questioning %HESITATION this new trend of making all these assertions about what you've invented without really proving it and having it vetted by your peers and then there was another %HESITATION professor in Toronto I believe a couple weeks or couple months later who who came out with a critical medical journal and I editorial as well so people are beginning to speak out in the scientific community as I was doing my reporting

so let's just take a step back and put the science aside for a second what is the hope of fairness what it promised people

so the the fair knows invention as Elizabeth homes are

you know announced it in magazines and at conferences was that %HESITATION with a tiny drop of blood **** from a finger with the lancet

they could run the full range of laboratory tests and get you back results on all these tests within hours

and at a low cost to the latter part is true they charge very low prices and then when you look at the assertion that they can do the full range you you ask laboratory experts what that means and they say can mean anywhere from several hundred to several thousand tests

so the claim was quite bold in this hadn't been done before from just a drop of blood being able to run the full gamut of tests and get results back to the patient's very quickly %HESITATION it did sound like a real scientific breakthrough and third for listeners who may not be aware of what is it usually take as far as blood to run that gamut of test what weirdest blood come from and how much blood is needed

well if you get tested for say a a comprehensive metabolic panel which is a typical panel that you might not get a prescription for your doctor for which is about a half dozen tests

you'll go to request or a lab Corp or a hospital lab in they will draw your blood with a needle odd that they put in your arm and they'll draw about five tubes of blood so quite a bit of blood is typically %HESITATION required to to run you know half dozen tests

so Liz with homes was incredibly successful I think getting it hundreds of millions of dollars four hundred million dollars %HESITATION of invest more money and more than us more than that so that value the company at nine billion dollars or so

yeah we we went back and found some %HESITATION some regular

for filings and were able to calculate that they raised at least seven hundred and fifty million dollars most of it more than six hundred million dollars was raised in two thousand fourteen and that last fundraising round valued the company at about nine billion dollars

which is a a huge of valuation that that's our moral less what quest and LabCorp are each valued at and these companies have been around for a long time and they have a huge revenues in huge profits

are in this laboratory upstart that was founded by a college drop out ten years ago suddenly valued at at the

the same valuation as those two huge companies alright let's stop there because I think listeners Arabic %HESITATION why like how did this unicorn

get so much money what did people see it

that isn't clear what people saw in it other than %HESITATION Elizabeth homes as pitch

that she had made this scientific breakthrough is not clear because I've heard that and and pretty much ascertained during my reporting that the company did not offer really any information

about the science and about how the technology works about how it's

laboratory %HESITATION instrument worked

or about its financials so are investors who were putting up this money were for the most part going in blind

but at a star studded board right

they did they had %HESITATION Henry Kissinger

and now George Shultz and Sam Nunn and %HESITATION

Phil frets they had a bunch of older statesman some exit some retired military commanders

it was a %HESITATION heavy duty board a lot of big names

in %HESITATION the military and and former cabinet members

%HESITATION incident seemed impressive at first glance

so your first piece ran last year and you began raising questions what were the key questions that you found

so the first thing was to

look at whether they were or were not running the full range of laboratory tests

on other proprietary technology

and after a lot of reporting in talking to former employees who were in a position to know exactly what the reality of that was

I was able to determine dead of the more than two hundred and forty blood tests that they offered consumers at their blood draw centers in Walgreens stores

that at the very most at the end of two thousand fourteen fifteen of them were run on their

pride Terry lab instrument which by the way they called the Edison after the inventor Thomas Edison pretty clever out why does it matter though that who cares which instrument that tests were run

well

if you're asserting that you that you made a scientific breakthrough that it enables you

to run the full range of laboratory tests off just

a drop of blood and it turns out that you can only do fifteen tests then

you're you're probably hyping where you are in and your ability and so then the question arises whether you've told the truth to investors whether you've told the truth to the public

but then there's the the other issue that I discussed in my first piece which was published in October which is what whether or not

the testing for those fifteen tests and and that the testing for all the other test

was accurate and produced good results and and I had ex employees telling me

that %HESITATION they questioned the accuracy of the Edison machine and that their endless was also doing things like diluting small blood samples in order to create a bigger volume to run them on commercial analyzers

that also created problems with accuracy

and I would travel to Arizona and talk to patients and doctors there and came up with anecdotal evidence of

a test that didn't seem to square with comparative tests done at other laboratories and so all of that made me realize that it wasn't just about potentially company that it over hyped

it's science and its breakthroughs but it might also be a a matter of public health

right and there are no Swiss briefly aggressive it seems our interns responding to your story both before it ran an after ran Elizabeth homes

actually speaking at a Wall Street journal event %HESITATION was critical of you and this is continued sort of including into this year what is their perspective

the company has been incredibly aggressive I in dealing with our reporting from the first moment that I asked an interview %HESITATION with Elizabeth homes in April after the publication of the story and and told pretty much today in addition to sending threatening letters to some of the people have spoken to me and to %HESITATION trying to convince doctors who had given me accounts of a patient cases and trying to convince them to change their stories they've also are systematically put out

statements

saying that that are reporting was inaccurate and and we of course have very much stood by our reporting and I think the sequence of events that unfolded are since my first story has shown that there was very much something to what we were reporting

so you mentioned threats tell us a little bit about those threats

well one of my sources at one of the people who went on the record how was the widow of a %HESITATION top scientists at their nose %HESITATION Rochelle Gibbons whose husband Ian Gibbons

had worked at the company for eight years he was a an accomplished British biochemist who

before working at their nose had worked at several companies in Silicon Valley and been in Silicon Valley for

several decades

he came with their nose into thousand five and was one of their top scientists if you look at the patents that their nose has he's on all the early patents

as they are co inventor and what happened is %HESITATION Ian committed suicide and I believe it was may of two thousand thirteen

and so I talked to his widow Rochelle and as she relayed to me that I he had a repeatedly told her

and before he died that things were not really working

in the are indeed apartment and that they weren't being successful in implementing this vision that Elizabeth had at least four

%HESITATION some of the the tests

and so before we included it in October fifteenth article we ran it by a fair no sin what it there Ernest do there are no scent or a hat rather had a one of its lawyers from boys Schiller David Boies is firm send a

a threatening letter to Rochelle telling her essentially to stop talking

and Rochelle very much interpreted that letter is an attempt to intimidate her into silence for

so let's talk about that sequence of events %HESITATION maybe starting with the most significant in recent event which is a letter that came from the centers for Medicare and

it services

two there are no switch said that there was an immediate jeopardy to patient health and safety are out of there Norwalk California facility the Newark California lab which is about basically right across San Fransisco bay from there headqu headquarters

and now out to put things in context this is their main laboratory there first laboratory they originally I had it in side they're palatable headquarters and then they moved it to a building across the bay of their two labs they have another lab in the Phoenix area %HESITATION it's the first one that they created and it's also the one that %HESITATION contains their proprietary devices there Edison family of devices that also contains commercial devices but unlike the Arizona laboratory this is where %HESITATION their purported proprietary technology is

so when you learn that the inspectors for the centers for Medicare and Medicaid services one in there and discovered %HESITATION major deficiencies

and some of which are presented immediate jeopardy %HESITATION for patients

then that makes you a wonder about the accuracy of the testing that was done and whether %HESITATION the accuracy of the testing is in question for both the commercial analyzers they have in that lab but also for the

proprietary analyzers the Edison's they have their

since October what else has has happened that sort of lends credence to some of the questions you've raised

well the the FDA also %HESITATION inspected %HESITATION thoroughness is headquarters in Palo alto in the Newark lab

I believe in late August and September

first half of September and came away with the judgment that these tiny little vials that there are no excuses that that Terry calls nano trainers to collect the blood from finger pricks

that those were medical devices that the agency should have cleared and was not given the opportunity to clear

%HESITATION and so it essentially put pressure on their our nose

stop using those little vials

for all but one test a test to detect herpes which the FDA had approved in July

so once the agency essentially took away the nano Tanner their nose had to stop

drawing blood from fingers in the hole their nose proposition which is a tiny drop of blood **** from a finger about is no longer really a reality in the field

and in fact at their nose phlebotomy us at the wellness centers inside Walgreen's stores are now of for the most part almost entirely drawing blood with syringes from the vein and filling you know several tubes of blood like any other lab

in addition there been questions or the relationship between Walgreens and there are no says changing right

that's right we are hearing that I things are getting tense %HESITATION between the two partners

%HESITATION Walgreens after our October fifteenth story made it clear that it would no longer expand the thoroughness wellness center is to allow the rest of its stores

%HESITATION some eight thousand stores across the U. S. that it was freezing

ng

a partnership to the are forty stores in Arizona and the one in and Palo alto and then following the CMS a report two weeks ago about the the conditions at that lab that pose immediate jeopardy to patients Walgreens immediately shut down at the wellness center inside its store in headqu and told fairness that it could no longer test any blood samples collected

at the remaining wellness centers in Arizona at that Newark lab

I think it's worth also stepping back and looking at the role that their noses played in in a broader discussion about modernizing laboratory tests %HESITATION Elizabeth homes and their innermost played a role in getting the Arizona legislature to change a law which allowed patients to no longer require a prescription to get a lab test now allowing patients to directly go to a lab and get a test

what is the role in changing sort of the way we look at that testing at their innocence Roland

that was a pretty significant event the %HESITATION Arizona legislature I believe in about July of last year enacted into law a bill on that said that if you were a consumer out there in in Arizona you could just go

and not get your blood tested and not have a a prescription from a doctor you could go in and do it on your own now that was controversial because of their many in the medical profession who say %HESITATION including you know the general practitioners who would usually Abby the middleman who would give you that prescription who say well

how is that progress because once the the patient

you know has those %HESITATION test results

and more likely than not they're gonna need a doctor's opinion to decipher them and and to know what those results mean

and so why not keep the doctor involved from the beginning

so that first of all there is a logic for forgetting the blood tests and then and then there's an expert opinion there when the test results arrive

and to help you read them and interpret them

so you don't have a crystal ball and I don't either

and some not gonna ask you what's going to happen but I I do think it's worthwhile to get your perspective on water things that people should look for as a story evolves in terms of barometers on on where they're in our society

well the the first thing I think people should take a look at is whether %HESITATION fairness I manages to affix these major deficiencies as at its New York facility

our over the next few weeks for the next few months my understanding is that that the company just got another ten day extension it was originally given ten days I'll and on Friday obtained another ten days and it may be able to get several more extensions but at a certain point the clock is going to stop and around late March

if the company hasn't resolved those issues or at least

submitted to the agency to CMS a credible plan of correction then of the agency will make its inspection report which I'm told is lengthy

public and will start imposing sanctions

so that's the first thing toto watch out for

at the second thing is what what is going to happen to this %HESITATION partnership

tween there are no sin and Walgreens because

if Walgreens were to walk away from thoroughness altogether then it's not clear that there are no less

has any ability to generate any more revenues

%HESITATION and so then you have a private start up that's been valued at nine billion dollars

that isn't generating any revenues and so would then be interesting to watch what

investors who put up money in this company have to say about that

well great where you've been listening to John Kerry a reporter at the Wall Street journal talking about his investigative stories about their analysts

as robin

thank you for listening to the podcast we hope you'll tune in again next

mtn

and nbsp

and nbsp

from pydub import AudioSegment
from glob import glob
from math import ceil
from os.path import basename, splitext, exists
import json
import requests
import csv
WATSON_USERNAME = "YOUR-USERNAME-HERE"
WATSON_PASSWORD = "YOUR-PASSWORD"
WATSON_ENDPOINT = 'https://stream.watsonplatform.net/speech-to-text/api/v1/recognize'
WATSON_DEFAULT_PARAMS = {
'continuous': True,
'timestamps': True,
'word_confidence': True,
}
WATSON_DEFAULT_HEADERS = {
'content-type': 'audio/wav'
}
# via: http://www.propublica.org/podcast/item/how-a-reporter-pierced-the-hype-behind-theranos/
DOWNLOAD_URL = 'https://api.soundcloud.com/tracks/247345268/download?client_id=cUa40O3Jg3Emvp6Tv4U6ymYYO50NUGpJ'
AUDIO_FILENAME = 'podcast.mp3'
AUDIO_SEGMENT_SECONDS = 300
if not exists(AUDIO_FILENAME):
print("Downloading from", DOWNLOAD_URL)
resp = requests.get(DOWNLOAD_URL)
with open(AUDIO_FILENAME, 'wb') as w:
w.write(resp.content)
print("Wrote audio file to", AUDIO_FILENAME)
# convert to WAV
audio = AudioSegment.from_mp3(AUDIO_FILENAME)
xs = 0
while xs < audio.duration_seconds:
ys = min(xs + AUDIO_SEGMENT_SECONDS, ceil(audio.duration_seconds))
fname = str(xs).rjust(5, '0') + '-' + str(ys).rjust(5, '0') + '.wav'
audio[xs*1000:ys*1000].export(fname, format='wav')
print("Saved", fname)
xs = ys
## Transcribe each WAV to Watson
for fname in glob("*.wav"):
# Download watson's response
tname = splitext(basename(fname))[0] + '.json'
if exists(tname):
print("Already transcribed", tname)
else:
print("Transcribing", fname)
with open(fname, 'rb') as r:
watson_response = requests.post(
WATSON_ENDPOINT,
data=r,
auth=(WATSON_USERNAME, WATSON_PASSWORD),
params=WATSON_DEFAULT_PARAMS,
headers=WATSON_DEFAULT_HEADERS,
stream=False
)
with open(tname, 'w') as w:
w.write(watson_response.text)
print("Wrote transcript to", tname)
# Print out the raw transcript and word csv
rawfile = open("raw.txt", "w")
wordsfile = open("words.csv", "w")
csvfile = csv.writer(wordsfile)
csvfile.writerow(['word', 'confidence', 'start', 'end'])
for fname in sorted(glob("*.json")):
with open(fname, 'r') as f:
results = json.load(f)['results']
for linenum, result in enumerate(results): # each result is a line
if result.get('alternatives'): # each result may have many alternatives
# just pick best alternative
lineobj = result.get('alternatives')[0]
# rawfile.writeline(lineobj['transcript'])
word_timestamps = lineobj['timestamps']
if word_timestamps:
rawfile.write(lineobj['transcript'] + "\n")
word_confidences = lineobj['word_confidence']
for idx, wordts in enumerate(word_timestamps):
txt, tstart, tend = wordts
confidence = round(100 * word_confidences[idx][1])
csvfile.writerow([txt, confidence, tstart, tend])
rawfile.close()
wordsfile.close()
word confidence start end
and 100 0.6 0.7
nbsp 100 0.7 5.29
walking 47 5.29 5.54
to 54 5.54 5.6
the 89 5.6 5.7
ProPublica 91 5.7 6.25
podcast 100 6.25 6.93
I'm 70 6.96 7.16
Charlie 100 7.16 7.48
Orenstein 35 7.48 7.94
and 39 7.94 8.04
I 73 8.04 8.09
cover 64 8.09 8.32
healthcare 59 8.32 8.74
here 100 8.74 9.02
at 32 9.02 9.13
ProPublica 67 9.13 9.9
today 57 10.34 10.58
we're 63 10.58 10.7
gonna 76 10.7 10.83
be 81 10.83 10.91
talking 84 10.91 11.22
about 70 11.22 11.4
laboratory 100 11.4 11.98
testing 99 11.98 12.48
it's 100 13.01 13.17
no 100 13.17 13.28
secret 100 13.28 13.64
to 100 13.64 13.74
many 100 13.74 14.01
that 100 14.01 14.26
lab 100 14.26 14.51
testing 100 14.51 14.92
has 36 14.92 15.06
been 100 15.06 15.26
caught 95 15.26 15.61
in 98 15.61 15.71
the 100 15.71 15.79
dark 100 15.79 16.25
ages 99 16.28 16.68
of 84 16.68 16.82
medicine 67 16.82 17.46
or 38 17.74 17.95
you 71 17.95 18.03
have 100 18.03 18.19
to 100 18.19 18.28
go 100 18.28 18.4
to 100 18.4 18.48
your 92 18.48 18.61
doctor 74 18.61 19.25
to 100 19.25 19.33
get 95 19.33 19.47
a 100 19.47 19.51
prescription 100 19.51 20.04
for 100 20.04 20.21
a 100 20.21 20.28
lab 100 20.28 20.52
test 100 20.52 21.03
and 100 21.34 21.52
then 100 21.52 21.7
your 100 21.7 21.83
doctor 100 21.83 22.12
gets 32 22.12 22.32
the 100 22.32 22.42
results 100 22.42 22.81
of 100 22.81 22.9
the 62 22.9 23.01
lab 100 23.01 23.24
test 78 23.24 23.67
if 100 23.67 23.8
you're 100 23.8 23.92
lucky 94 23.92 24.44
will 21 24.47 24.6
share 93 24.6 25.04
with 100 25.07 25.26
you 100 25.26 25.69
and 100 26.16 26.82
then 100 26.86 27.14
you'll 100 27.14 27.3
be 100 27.3 27.41
back 100 27.41 27.69
to 100 27.69 27.8
going 100 27.8 28.03
to 100 28.03 28.12
your 38 28.12 28.21
doctor 99 28.21 28.54
again 89 28.54 28.81
if 98 28.81 28.94
you 100 28.94 29.03
need 98 29.03 29.21
a 83 29.21 29.24
follow 79 29.24 29.58
up 65 29.58 29.79
a 100 30.22 30.32
company 100 30.32 30.61
called 97 30.61 30.9
their 76 30.9 31.14
in 26 31.14 31.24
house 40 31.24 31.72
aim 64 31.88 32.14
to 92 32.14 32.28
change 100 32.28 32.61
that 99 32.61 32.89
founded 100 33.25 33.64
in 100 33.64 33.74
two 100 33.74 33.9
thousand 100 33.9 34.27
and 100 34.27 34.41
three 100 34.41 34.91
by 87 34.91 35.18
Elisabeth 48 35.18 35.68
homes 100 35.68 36.42
a 100 36.71 36.81
nineteen 100 36.81 37.16
year 100 37.16 37.29
old 100 37.29 37.45
drop 38 37.45 37.73
out 70 37.73 37.92
of 100 37.92 38.03
Stanford 100 38.03 38.48
University 100 38.48 39.27
this 100 39.52 39.73
company 95 39.73 40.16
and 21 40.16 40.29
to 86 40.29 40.39
really 96 40.39 40.64
shake 100 40.64 40.96
up 100 40.96 41.11
laboratory 100 41.11 41.63
testing 99 41.63 42.11
it 100 42.75 42.91
received 68 42.91 43.22
fawning 86 43.22 43.67
coverage 100 43.67 44.21
from 100 44.21 44.51
many 100 44.51 44.84
mainstream 100 44.84 45.36
media 100 45.36 45.66
outlets 100 45.66 46.25
including 100 46.28 46.97
The 100 47.17 47.27
New 100 47.27 47.36
York 100 47.36 47.57
Times 100 47.57 48.11
but 100 48.44 48.62
John 100 48.62 48.82
Kerry 100 48.82 49.11
Roo 41 49.11 49.34
a 44 49.34 49.43
reporter 100 49.43 49.95
at 100 49.95 50.16
the 100 50.23 50.4
Wall 60 50.4 50.59
Street 60 50.59 50.85
journal 99 50.85 51.35
took 99 51.73 51.94
a 72 51.94 52.0
more 97 52.0 52.26
critical 100 52.26 52.68
look 100 52.68 52.92
at 100 52.92 53.06
their 97 53.06 53.25
in 72 53.25 53.32
house 95 53.32 53.73
and 100 53.95 54.14
found 100 54.14 54.37
that 100 54.37 54.52
behind 100 54.52 55.0
this 100 55.0 55.33
glossy 97 55.33 55.78
surface 100 55.78 56.46
there 100 56.75 56.89
were 54 56.89 56.98
a 100 56.98 57.03
lot 100 57.03 57.22
of 100 57.22 57.3
questions 100 57.3 57.96
about 100 57.99 58.35
both 100 58.44 58.71
its 100 58.71 58.86
effectiveness 100 58.86 59.72
and 100 59.97 60.2
the 100 60.2 60.26
science 100 60.26 60.68
that 42 60.68 60.82
underlie 20 60.82 61.4
its 100 61.49 61.7
main 77 61.7 61.96
products 99 61.96 62.49
John 100 62.75 63.01
is 100 63.01 63.11
joining 100 63.11 63.42
us 100 63.42 63.52
here 100 63.52 63.84
on 100 63.84 64.07
the 100 64.07 64.15
podcast 100 64.15 64.86
John 100 64.98 65.25
Markham 67 65.25 65.62
hi 35 65.65 65.88
thanks 84 65.88 66.19
for 95 66.19 66.28
having 95 66.28 66.62
so 100 66.9 67.05
how 100 67.05 67.18
did 100 67.18 67.33
you 100 67.33 67.47
decide 100 67.47 67.86
to 100 67.86 67.99
take 100 67.99 68.18
a 100 68.18 68.23
look 100 68.23 68.41
at 100 68.41 68.53
their 86 68.53 68.73
house 35 68.73 69.02
well 100 69.35 69.58
I 100 69.58 69.75
had 100 69.75 70.08
read 100 70.11 70.64
Ken 52 70.72 71.01
Auletta 42 71.01 71.39
as 23 71.39 71.7
profile 100 71.79 72.23
of 84 72.23 72.33
Elizabeth 82 72.33 72.72
homes 90 72.72 73.02
in 73 73.02 73.1
the 84 73.1 73.18
New 97 73.18 73.32
Yorker 75 73.32 73.81
in 79 73.81 74.06
which 100 74.22 74.52
I 100 74.52 74.59
think 100 74.59 74.78
came 100 74.78 74.96
out 100 74.96 75.11
in 100 75.11 75.19
December 100 75.19 75.67
of 100 75.67 75.79
two 100 75.79 75.91
thousand 100 75.91 76.19
fourteen 100 76.19 76.71
and 66 76.71 76.97
I 82 77.46 77.68
found 99 77.68 78.0
it 92 78.0 78.1
interesting 100 78.1 78.88
there 77 79.0 79.2
were 100 79.2 79.33
some 100 79.33 79.8
brief 82 80.11 80.48
critical 100 80.48 81.15
%HESITATION 10 81.15 81.41
sections 95 81.41 81.91
in 58 81.91 82.07
there 97 82.07 82.48
that 100 82.88 83.07
raised 79 83.07 83.38
questions 100 83.38 83.88
for 100 83.88 84.03
me 99 84.03 84.41
but 98 84.44 84.79
I 100 84.95 85.1
don't 69 85.1 85.28
think 96 85.28 85.53
all 100 85.53 85.66
that 100 85.66 85.84
much 100 85.84 86.03
more 100 86.03 86.31
of 100 86.31 86.42
it 100 86.42 86.61
and 79 86.61 86.75
then 99 86.75 87.08
as 88 87.47 87.83
the 74 87.83 87.99
calendar 97 87.99 88.4
year 100 88.4 88.62
turned 38 88.62 88.94
to 100 88.94 89.21
%HESITATION 55 89.21 89.46
two 78 89.46 89.72
thousand 100 89.72 90.08
fifteen 100 90.08 90.83
a 100 90.83 90.87
couple 100 90.87 91.16
weeks 100 91.16 91.39
later 100 91.39 91.7
mid 100 91.7 91.93
two 100 91.93 92.06
thousand 100 92.06 92.35
fifteen 100 92.35 93.05
I 85 93.49 93.64
got 91 93.64 93.75
a 92 93.75 93.8
tip 100 93.8 94.25
from 100 94.39 94.63
someone 100 94.63 95.34
not 89 95.39 95.61
a 70 95.61 95.65
primary 98 95.65 96.19
source 100 96.19 96.56
who 100 96.56 96.71
had 100 96.71 96.98
any 100 96.98 97.37
primary 100 97.73 98.19
information 100 98.19 98.68
but 56 98.68 98.81
someone 100 98.81 99.11
who 93 99.11 99.29
is 43 99.29 99.62
a 50 99.65 99.81
relating 68 99.81 100.35
to 97 100.35 100.51
me 98 100.51 100.95
some 100 101.34 101.83
you 100 101.86 101.97
know 100 101.97 102.1
third 100 102.1 102.42
hand 100 102.42 102.67
information 100 102.67 103.4
that 100 103.4 103.63
that 100 103.67 103.9
things 100 103.9 104.22
might 100 104.22 104.46
not 100 104.46 104.74
be 100 104.74 105.19
exactly 100 105.48 105.99
as 100 105.99 106.12
they 100 106.12 106.23
seemed 46 106.23 106.69
at 54 106.69 106.8
this 100 106.8 106.94
company 100 106.94 107.31
thoroughness 15 107.31 107.9
so 100 108.67 108.85
it's 100 108.85 108.98
interesting 100 108.98 109.41
because 100 109.41 109.62
I 100 109.62 109.68
think 100 109.68 109.81
a 100 109.81 109.85
number 100 109.85 110.17
of 100 110.17 110.26
reporters 97 110.26 110.88
got 55 110.88 111.2
tips 83 111.2 111.5
along 100 111.5 111.85
the 100 111.85 111.95
way 100 111.95 112.24
and 75 112.24 112.49
and 100 112.49 112.65
you 76 112.65 112.75
were 38 112.75 112.84
the 97 112.84 112.93
one 100 112.93 113.11
to 100 113.11 113.19
pursue 100 113.19 113.57
them 99 113.57 114.04
I 71 114.27 114.49
personally 98 114.49 114.98
heard 73 114.98 115.21
from 98 115.21 115.38
somebody 100 115.38 115.73
who 100 115.73 115.87
said 100 115.87 116.37
that 100 116.56 116.78
his 100 116.78 117.0
lab 100 117.0 117.23
results 100 117.23 117.65
didn't 100 117.65 117.98
match 100 118.09 118.71
the 100 118.71 118.88
lab 100 118.88 119.09
results 100 119.09 119.4
he 42 119.4 119.48
got 100 119.48 119.68
from 100 119.68 119.84
a 100 119.84 119.9
different 100 119.9 120.23
lab 64 120.23 120.56
so 89 120.56 120.76
it 100 120.76 120.86
doesn't 100 120.86 121.18
seem 100 121.18 121.33
like 100 121.33 121.48
this 80 121.48 121.63
was 50 121.63 121.78
a 100 121.78 121.84
huge 100 121.84 122.34
secret 100 122.34 122.8
that 100 122.8 122.92
there 90 122.92 123.02
were 92 123.02 123.1
questions 100 123.1 123.57
out 47 123.57 123.75
right 99 124.75 125.12
and 60 125.15 125.29
shortly 100 125.29 125.65
after 100 125.65 126.0
I 100 126.0 126.12
began 100 126.12 126.76
looking 92 126.94 127.34
into 100 127.34 127.6
the 100 127.6 127.68
company 100 127.68 128.07
in 69 128.07 128.23
and 77 128.23 128.4
looking 100 128.4 128.7
into 100 128.7 128.89
this 96 128.89 129.19
tip 31 129.19 129.78
a 100 129.81 130.18
Stanford 99 130.26 130.97
on 18 130.97 131.13
a 39 131.13 131.17
medical 97 131.17 131.56
school 100 131.56 132.04
professor 100 132.04 132.58
I 100 132.58 132.65
believe 100 132.65 133.09
%HESITATION 93 133.09 133.55
put 100 133.81 134.0
out 99 134.0 134.27
a 99 134.27 134.73
critical 100 134.8 135.41
opinion 100 135.41 135.87
piece 88 135.87 136.42
in 100 136.45 136.67
the 100 136.67 136.95
journal 100 136.98 137.57
of 100 137.69 138.05
the 100 138.08 138.18
American 100 138.18 138.52
medical 100 138.52 138.83
association 100 138.83 139.66
and 100 140.08 140.51
he 85 140.54 140.71
didn't 100 140.71 140.98
really 100 140.98 141.21
have 100 141.21 141.42
any 100 141.42 141.78
any 100 141.81 142.09
information 100 142.09 142.71
other 100 142.71 142.91
than 100 142.91 143.07
the 100 143.07 143.16
say 88 143.16 143.57
this 93 143.57 143.79
is 91 143.79 143.96
a 69 143.96 144.02
company 99 144.02 144.43
that 100 144.43 144.62
was 100 144.62 145.02
making 99 145.53 145.98
very 95 145.98 146.22
bold 100 146.22 146.48
statements 100 146.48 146.95
about 100 146.95 147.17
its 100 147.17 147.3
breakthroughs 80 147.3 148.04
in 92 148.04 148.29
the 100 148.29 148.37
science 100 148.37 148.83
of 100 148.83 148.92
laboratory 100 148.92 149.41
testing 100 149.41 150.0
saying 100 150.0 150.42
that 100 150.42 150.64
it 100 150.67 150.87
could 100 150.87 151.32
test 99 151.43 151.81
for 100 151.81 152.19
a 72 152.23 152.59
number 100 152.59 152.97
of 100 152.97 153.27
conditions 100 153.66 154.22
off 66 154.22 154.37
just 100 154.37 154.6
a 100 154.6 154.64
drop 100 154.64 154.94
of 100 154.94 155.05
blood 99 155.05 155.42
**** 45 155.45 155.66
from 93 155.66 155.82
the 100 155.82 155.9
finger 100 155.9 156.3
and 57 156.3 156.46
yet 100 156.46 156.76
it 69 156.88 157.06
hadn't 72 157.06 157.34
really 100 157.34 157.57
done 100 157.57 158.01
what 100 158.04 158.25
you 60 158.25 158.35
usually 100 158.35 158.66
do 99 158.66 158.81
in 67 158.81 158.9
medicine 88 158.9 159.28
which 93 159.28 159.55
is 76 159.55 159.84
a 33 159.88 160.15
peer 100 160.24 160.43
review 100 160.43 160.84
and 100 161.38 161.85
he 100 161.89 162.07
was 100 162.07 162.26
questioning 99 162.26 163.05
%HESITATION 61 163.08 163.45
this 91 163.45 163.7
new 100 163.7 163.89
trend 100 163.89 164.56
of 100 164.91 165.56
making 100 165.59 165.99
all 100 165.99 166.11
these 100 166.11 166.32
assertions 100 166.32 166.94
about 100 166.94 167.2
what 100 167.2 167.36
you've 100 167.36 167.51
invented 100 167.51 168.05
without 100 168.05 168.55
really 100 168.58 169.17
proving 100 169.4 169.87
it 100 169.87 170.06
and 64 170.06 170.2
having 100 170.2 170.44
it 100 170.44 170.57
vetted 65 170.71 171.05
by 100 171.05 171.22
your 100 171.22 171.45
peers 100 171.45 172.07
and 100 172.4 172.58
then 100 172.58 172.7
there 100 172.7 172.8
was 74 172.8 172.94
another 100 172.94 173.43
%HESITATION 100 173.46 173.78
professor 100 173.78 174.49
in 91 174.49 174.76
Toronto 100 174.76 175.6
I 100 175.88 175.99
believe 100 175.99 176.27
a 100 176.27 176.31
couple 100 176.31 176.55
weeks 100 176.55 176.78
or 67 176.78 176.85
couple 100 176.85 177.11
months 100 177.11 177.35
later 100 177.35 177.76
who 95 177.76 177.95
who 100 177.98 178.11
came 100 178.11 178.36
out 100 178.36 178.56
with 96 178.56 178.74
a 70 178.74 178.94
critical 94 179.24 180.09
medical 100 180.14 180.54
journal 100 180.54 181.12
and 54 181.12 181.31
I 66 181.31 181.46
editorial 95 181.46 182.04
as 79 182.04 182.19
well 100 182.19 182.6
so 100 182.8 183.32
people 98 183.57 183.85
are 37 183.85 183.93
beginning 99 183.93 184.32
to 72 184.32 184.4
speak 100 184.4 184.8
out 95 184.8 185.09
in 100 185.09 185.43
the 100 185.43 185.68
scientific 100 185.68 186.29
community 100 186.29 186.86
as 100 186.86 187.27
I 90 187.27 187.49
was 100 187.49 187.79
doing 100 187.79 188.03
my 100 188.03 188.14
reporting 100 188.14 188.67
so 100 189.33 189.52
let's 100 189.52 189.73
just 79 189.73 189.88
take 100 189.88 190.03
a 100 190.03 190.09
step 100 190.09 190.3
back 100 190.3 190.64
and 100 190.64 191.12
put 100 191.12 191.31
the 100 191.31 191.39
science 100 191.39 191.76
aside 100 191.76 192.12
for 100 192.12 192.22
a 82 192.22 192.28
second 100 192.28 192.66
what 100 192.73 193.03
is 100 193.03 193.16
the 100 193.16 193.3
hope 100 193.3 193.69
of 100 193.69 193.8
fairness 52 193.8 194.23
what 90 194.27 194.51
it 86 194.51 194.7
promised 97 194.7 195.2
people 100 195.2 195.42
so 100 196.04 196.28
the 100 196.28 196.61
the 96 196.64 196.78
fair 65 196.78 197.09
knows 96 197.09 197.72
invention 100 197.82 198.76
as 100 198.86 199.16
Elizabeth 100 199.16 199.68
homes 98 199.68 200.19
are 36 200.19 200.65
you 100 201.08 201.23
know 100 201.23 201.39
announced 86 201.39 201.87
it 58 201.87 202.11
in 100 202.15 202.66
magazines 100 202.69 203.45
and 75 203.45 203.55
at 68 203.55 203.66
conferences 100 203.66 204.4
was 98 204.4 204.73
that 100 204.73 205.07
%HESITATION 33 205.34 205.58
with 93 205.58 205.84
a 100 205.84 205.89
tiny 100 205.89 206.56
drop 100 206.71 207.05
of 100 207.05 207.16
blood 100 207.16 207.5
**** 54 207.5 207.83
from 98 207.83 208.02
a 100 208.02 208.08
finger 100 208.08 208.53
with 100 208.53 208.69
the 51 208.69 208.76
lancet 98 208.76 209.36
they 83 209.87 210.09
could 100 210.09 210.52
run 100 210.56 210.95
the 83 210.95 211.07
full 100 211.07 211.46
range 100 211.46 212.03
of 100 212.06 212.49
laboratory 100 212.53 213.07
tests 100 213.07 213.63
and 100 213.67 213.87
get 100 213.87 214.05
you 100 214.05 214.39
back 100 214.45 214.72
results 100 214.72 215.19
on 100 215.19 215.31
all 55 215.31 215.44
these 92 215.44 215.64
tests 64 215.64 215.9
within 85 215.9 216.17
hours 100 216.17 216.72
and 96 217.17 217.44
at 55 217.44 217.56
a 100 217.56 217.61
low 88 217.61 217.79
cost 100 217.79 218.24
to 38 218.24 218.46
the 88 218.49 218.6
latter 100 218.6 219.04
part 100 219.04 219.3
is 77 219.3 219.4
true 100 219.4 219.65
they 100 219.65 219.78
charge 100 219.78 220.11
very 100 220.11 220.31
low 100 220.31 220.65
prices 100 220.95 221.69
and 100 221.8 221.97
then 100 221.97 222.09
when 100 222.09 222.21
you 100 222.21 222.32
look 100 222.32 222.49
at 100 222.49 222.62
the 100 222.62 222.96
assertion 100 223.0 223.43
that 100 223.43 223.56
they 100 223.56 223.66
can 100 223.66 223.82
do 100 223.82 223.92
the 100 223.92 224.01
full 83 224.01 224.28
range 100 224.28 224.76
you 97 224.76 225.06
you 100 225.09 225.23
ask 73 225.23 225.55
laboratory 99 225.55 226.02
experts 100 226.02 226.37
what 99 226.37 226.54
that 100 226.54 226.77
means 100 226.81 227.19
and 83 227.19 227.43
they 100 227.46 227.55
say 89 227.55 227.79
can 87 227.79 227.97
mean 100 227.97 228.11
anywhere 100 228.11 228.53
from 100 228.53 228.8
several 100 228.8 229.11
hundred 100 229.11 229.47
to 100 229.47 229.93
several 100 230.01 230.37
thousand 100 230.37 230.94
tests 99 230.94 231.46
so 100 232.08 232.57
the 100 232.65 232.78
claim 100 232.78 233.11
was 96 233.11 233.24
quite 100 233.24 233.47
bold 54 233.47 233.71
in 56 233.71 233.8
this 98 233.8 233.95
hadn't 70 233.95 234.22
been 100 234.22 234.39
done 100 234.39 234.61
before 100 234.61 235.21
from 100 235.37 235.62
just 100 235.62 235.88
a 100 235.88 235.92
drop 99 235.92 236.26
of 100 236.26 236.37
blood 100 236.37 236.67
being 100 236.67 236.94
able 100 236.94 237.32
to 100 237.68 237.83
run 100 237.83 238.1
the 100 238.1 238.19
full 100 238.19 238.5
gamut 100 238.5 238.98
of 100 239.01 239.16
tests 100 239.16 239.64
and 100 239.64 239.78
get 100 239.78 239.94
results 100 239.94 240.33
back 100 240.33 240.53
to 58 240.53 240.63
the 100 240.63 240.69
patient's 81 240.69 241.07
very 100 241.07 241.31
quickly 100 241.31 241.94
%HESITATION 36 242.31 242.51
it 88 242.51 242.68
did 100 242.68 242.86
sound 100 242.86 243.21
like 100 243.21 243.42
a 100 243.42 243.47
real 100 243.47 243.74
scientific 100 243.74 244.26
breakthrough 72 244.26 244.7
and 95 244.99 245.3
third 27 245.3 245.62
for 93 245.65 245.86
listeners 99 245.86 246.4
who 69 246.4 246.51
may 100 246.51 246.64
not 100 246.64 246.87
be 100 246.87 246.97
aware 100 246.97 247.22
of 40 247.22 247.3
what 99 247.3 247.56
is 100 247.56 247.69
it 98 247.69 247.84
usually 100 247.87 248.36
take 100 248.36 248.64
as 71 248.64 248.74
far 100 248.74 248.93
as 100 248.93 249.04
blood 100 249.04 249.44
to 100 249.44 249.67
run 100 249.67 250.03
that 100 250.03 250.22
gamut 100 250.22 250.49
of 100 250.49 250.57
test 26 250.57 250.91
what 75 250.91 251.11
weirdest 14 251.11 251.45
blood 71 251.45 251.63
come 100 251.63 251.81
from 100 251.81 251.98
and 55 251.98 252.07
how 100 252.07 252.15
much 100 252.15 252.36
blood 100 252.36 252.55
is 80 252.55 252.64
needed 71 252.64 253.0
well 100 253.43 253.84
if 100 254.0 254.19
you 100 254.19 254.32
get 100 254.32 254.68
tested 100 254.81 255.56
for 96 255.69 256.22
say 95 256.22 256.75
a 79 256.75 257.0
a 80 257.0 257.13
comprehensive 90 257.13 257.91
metabolic 100 258.07 258.63
panel 100 258.63 259.0
which 100 259.0 259.22
is 100 259.22 259.36
a 100 259.36 259.54
typical 100 259.74 260.11
panel 100 260.11 260.54
that 100 260.54 260.72
you 100 260.72 260.86
might 100 260.86 261.15
not 16 261.59 261.74
get 99 261.74 261.89
a 100 261.89 261.93
prescription 100 261.93 262.47
for 100 262.47 262.66
your 100 262.66 262.79
doctor 100 262.79 263.16
for 100 263.16 263.48
which 100 263.48 263.64
is 100 263.64 263.73
about 100 263.73 263.95
a 78 263.95 263.99
half 100 263.99 264.18
dozen 100 264.18 264.47
tests 99 264.47 264.98
you'll 77 265.44 265.71
go 100 265.71 266.25
to 100 266.28 266.84
request 51 266.87 267.38
or 43 267.38 267.46
a 60 267.46 267.52
lab 54 267.52 267.78
Corp 30 267.78 268.18
or 99 268.18 268.52
a 64 268.52 268.68
hospital 100 268.68 269.12
lab 100 269.12 269.48
in 62 269.48 269.59
they 89 269.59 269.72
will 100 269.72 270.23
draw 82 270.27 270.49
your 99 270.49 270.67
blood 100 270.67 271.23
with 100 271.48 272.02
a 100 272.06 272.52
needle 100 272.52 273.05
odd 59 273.47 273.85
that 100 273.85 273.99
they 100 273.99 274.35
put 100 274.38 274.55
in 100 274.55 274.64
your 100 274.64 274.78
arm 74 274.78 275.18
and 100 275.27 275.66
they'll 100 275.69 275.96
draw 65 275.96 276.24
about 67 276.24 276.61
five 100 276.61 276.91
tubes 100 276.91 277.2
of 100 277.2 277.28
blood 99 277.28 277.67
so 100 278.04 278.48
quite 100 278.62 278.88
a 100 278.88 278.93
bit 100 278.93 279.15
of 100 279.15 279.25
blood 99 279.25 279.75
is 100 279.79 279.97
typically 100 279.97 280.82
%HESITATION 92 280.85 281.37
required 95 281.37 282.14
to 55 282.22 282.44
to 98 282.47 282.6
run 79 282.6 283.1
you 97 283.13 283.25
know 99 283.25 283.53
half 100 283.84 284.13
dozen 100 284.13 284.39
tests 100 284.39 284.85
so 100 285.38 285.58
Liz 12 285.58 285.77
with 90 285.77 285.92
homes 100 285.92 286.19
was 100 286.19 286.38
incredibly 100 286.38 286.93
successful 100 286.93 287.45
I 100 287.45 287.51
think 100 287.51 287.76
getting 99 287.89 288.42
it 28 288.42 288.54
hundreds 100 288.64 289.04
of 100 289.04 289.1
millions 100 289.1 289.34
of 60 289.34 289.4
dollars 100 289.4 289.77
four 98 289.77 289.96
hundred 100 289.96 290.2
million 100 290.2 290.49
dollars 99 290.49 290.97
%HESITATION 85 291.0 291.37
of 77 291.72 291.87
invest 71 291.87 292.13
more 73 292.13 292.24
money 96 292.24 292.49
and 79 292.49 292.59
more 100 292.59 292.71
than 92 292.71 292.89
us 39 292.89 293.17
more 100 293.21 293.46
than 100 293.46 293.61
that 34 293.61 293.87
so 100 293.87 294.06
that 100 294.06 294.23
value 31 294.23 294.48
the 93 294.48 294.56
company 99 294.56 294.91
at 43 294.91 295.04
nine 100 295.08 295.45
billion 87 295.45 295.71
dollars 100 295.71 296.02
or 94 296.02 296.11
so 98 296.11 296.44
yeah 100 296.85 297.07
we 100 297.07 297.33
we 98 297.33 297.54
went 100 297.54 297.8
back 100 297.8 298.09
and 100 298.09 298.21
found 100 298.21 298.48
some 89 298.48 298.77
%HESITATION 30 298.77 299.13
some 100 299.42 299.69
regular 96 299.69 299.95
for 66 0.03 0.15
filings 100 0.15 0.96
and 100 1.37 1.8
were 80 1.83 1.99
able 100 1.99 2.23
to 100 2.23 2.34
calculate 100 2.34 2.93
that 100 2.93 3.1
they 100 3.1 3.22
raised 100 3.22 3.82
at 100 3.82 3.95
least 100 3.95 4.28
seven 100 4.28 4.55
hundred 99 4.55 4.8
and 48 4.8 4.89
fifty 100 4.89 5.23
million 100 5.23 5.63
dollars 99 5.63 6.25
most 100 6.28 6.91
of 100 6.91 7.04
it 100 7.04 7.3
more 100 7.54 7.78
than 100 7.78 7.92
six 100 7.92 8.16
hundred 100 8.16 8.41
million 100 8.41 8.73
dollars 100 8.73 9.16
was 100 9.16 9.36
raised 100 9.36 9.94
in 100 9.97 10.2
two 100 10.2 10.36
thousand 100 10.36 10.69
fourteen 100 10.69 11.37
and 98 11.68 11.86
that 57 11.86 12.07
last 100 12.07 12.45
fundraising 47 12.45 13.0
round 58 13.0 13.4
valued 60 13.4 13.75
the 78 13.75 13.83
company 97 13.83 14.29
at 71 14.29 14.41
about 100 14.41 14.68
nine 100 14.68 14.94
billion 81 14.94 15.28
dollars 99 15.28 15.8
which 100 16.18 16.34
is 98 16.34 16.46
a 80 16.46 16.72
a 61 16.72 16.88
huge 100 16.88 17.48
of 52 17.51 17.78
valuation 95 17.78 18.46
that 82 18.46 18.68
that's 100 18.71 19.11
our 82 19.11 19.48
moral 82 19.95 20.36
less 57 20.36 20.69
what 99 20.69 21.0
quest 67 21.0 21.68
and 51 21.74 22.09
LabCorp 58 22.09 22.74
are 69 22.77 22.93
each 100 22.93 23.3
valued 87 23.3 23.78
at 86 23.78 24.08
and 98 24.11 24.31
these 54 24.31 24.61
companies 100 24.71 25.11
have 48 25.11 25.2
been 100 25.2 25.33
around 100 25.33 25.77
for 100 25.77 26.08
a 85 26.38 26.51
long 85 26.51 26.75
time 100 26.75 27.15
and 100 27.15 27.3
they 100 27.3 27.52
have 100 27.52 27.88
a 100 27.88 27.93
huge 100 27.93 28.25
revenues 100 28.25 28.79
in 56 28.79 28.9
huge 94 28.9 29.18
profits 100 29.18 29.95
are 34 30.27 30.7
in 62 30.7 30.82
this 97 30.82 31.05
laboratory 100 31.05 31.58
upstart 71 31.58 32.22
that 57 32.26 32.43
was 100 32.43 32.57
founded 100 32.57 32.86
by 100 32.86 33.0
a 51 33.0 33.05
college 100 33.05 33.4
drop 61 33.4 33.67
out 60 33.67 33.88
ten 100 33.88 34.05
years 100 34.05 34.29
ago 88 34.29 34.56
suddenly 64 34.56 34.93
valued 100 34.93 35.35
at 99 35.35 35.54
at 92 35.62 35.78
the 100 35.78 36.05
the 72 36.68 36.74
same 100 36.74 36.98
valuation 90 36.98 37.56
as 42 37.56 37.7
those 100 37.7 37.91
two 100 37.91 38.1
huge 100 38.1 38.4
companies 100 38.4 38.87
alright 56 39.25 39.45
let's 65 39.45 39.61
stop 24 39.61 39.81
there 100 39.81 39.98
because 100 39.98 40.23
I 100 40.23 40.3
think 100 40.3 40.58
listeners 61 41.03 41.45
Arabic 18 41.45 41.81
%HESITATION 57 41.93 42.26
why 100 42.26 42.8
like 94 42.83 43.06
how 100 43.06 43.25
did 56 43.25 43.36
this 76 43.36 43.52
unicorn 100 43.52 44.32
get 55 44.73 45.05
so 99 45.05 45.37
much 100 45.37 45.61
money 100 45.61 45.89
what 68 45.89 46.1
did 29 46.1 46.23
people 100 46.23 46.51
see 99 46.51 46.79
it 85 46.79 47.12
that 100 47.82 48.04
isn't 78 48.04 48.33
clear 78 48.33 48.61
what 100 48.61 48.87
people 100 48.9 49.28
saw 50 49.28 49.66
in 37 49.66 49.81
it 96 49.81 50.06
other 100 50.09 50.69
than 88 50.72 51.35
%HESITATION 73 51.43 51.63
Elizabeth 27 51.63 52.07
homes 92 52.07 52.38
as 30 52.38 52.56
pitch 98 52.56 53.24
that 100 53.6 53.92
she 100 53.92 54.3
had 100 54.3 54.77
made 91 54.99 55.42
this 77 55.42 55.6
scientific 100 55.6 56.18
breakthrough 84 56.18 57.04
is 92 57.04 57.32
not 100 57.32 57.57
clear 100 57.57 57.95
because 98 57.95 58.63
I've 84 58.99 59.26
heard 100 59.26 59.73
that 100 59.76 60.14
and 100 60.17 60.35
and 100 60.35 60.52
pretty 100 60.52 60.73
much 100 60.73 60.98
ascertained 41 60.98 61.63
during 96 61.69 62.02
my 100 62.02 62.13
reporting 100 62.13 62.74
that 100 62.74 63.14
the 100 63.14 63.23
company 100 63.23 63.61
did 100 63.61 63.82
not 100 63.82 64.07
offer 100 64.07 64.58
really 100 64.78 65.07
any 100 65.07 65.43
information 100 65.43 66.24
about 100 66.63 67.06
the 100 67.06 67.15
science 99 67.15 67.7
and 53 67.7 67.8
about 100 67.8 68.15
how 100 68.18 68.41
the 84 68.41 68.52
technology 98 68.52 69.26
works 47 69.26 69.62
about 100 69.62 69.87
how 100 69.87 70.09
it's 100 70.09 70.42
laboratory 99 70.65 71.6
%HESITATION 46 71.63 71.94
instrument 99 71.98 72.55
worked 76 72.58 73.11
or 81 73.55 74.02
about 98 74.02 74.35
its 100 74.35 74.49
financials 100 74.49 75.24
so 100 75.32 75.82
are 84 75.82 76.07
investors 100 76.07 76.71
who 100 76.71 76.89
were 65 76.89 77.02
putting 63 77.02 77.51
up 100 77.51 77.68
this 100 77.68 77.88
money 100 77.88 78.2
were 100 78.2 78.61
for 100 78.71 78.85
the 100 78.85 78.93
most 100 78.93 79.15
part 97 79.15 79.37
going 99 79.37 79.6
in 100 79.6 79.73
blind 99 79.73 80.21
but 93 80.96 81.11
at 31 81.11 81.28
a 90 81.28 81.33
star 100 81.33 81.6
studded 100 81.6 81.94
board 100 81.94 82.49
right 90 82.56 82.98
they 100 83.52 83.66
did 100 83.66 84.06
they 100 84.11 84.38
had 100 84.38 84.98
%HESITATION 99 85.01 85.45
Henry 98 85.45 85.75
Kissinger 100 85.75 86.41
and 100 86.98 87.33
now 43 87.33 87.54
George 93 87.54 87.9
Shultz 100 87.9 88.56
and 100 88.59 88.98
Sam 100 88.98 89.32
Nunn 100 89.32 89.82
and 100 89.96 90.37
%HESITATION 69 90.37 90.66
Phil 26 91.16 91.33
frets 43 91.33 91.83
they 100 91.86 92.04
had 80 92.04 92.37
a 100 92.5 92.61
bunch 100 92.61 92.97
of 100 92.97 93.31
older 100 93.37 94.04
statesman 94 94.08 95.02
some 100 95.27 95.53
exit 11 95.53 95.99
some 65 95.99 96.11
retired 99 96.11 96.52
military 100 96.52 97.01
commanders 100 97.01 97.72
it 100 98.13 98.36
was 100 98.36 98.6
a 100 98.6 98.84
%HESITATION 100 98.84 99.37
heavy 100 99.41 99.79
duty 99 99.79 100.44
board 85 100.47 101.01
a 100 101.04 101.13
lot 100 101.13 101.32
of 100 101.32 101.54
big 100 101.7 102.01
names 100 102.01 102.6
in 100 102.86 103.15
%HESITATION 35 103.2 103.47
the 68 103.47 103.6
military 100 103.6 104.26
and 99 104.26 104.54
and 98 104.54 104.83
former 100 104.83 105.14
cabinet 100 105.14 105.55
members 100 105.55 106.13
%HESITATION 99 106.48 106.94
incident 17 106.94 107.46
seemed 100 107.46 107.82
impressive 96 107.82 108.4
at 79 108.4 108.47
first 100 108.47 108.7
glance 71 108.7 109.05
so 100 109.56 109.94
your 100 109.97 110.34
first 100 110.34 110.67
piece 100 110.67 110.93
ran 100 110.93 111.26
last 100 111.26 111.58
year 100 111.58 111.86
and 100 111.86 112.11
you 100 112.11 112.3
began 100 112.3 112.67
raising 100 112.67 113.01
questions 100 113.01 113.5
what 100 113.5 113.71
were 81 113.71 113.84
the 99 113.84 114.03
key 100 114.03 114.48
questions 85 114.48 114.95
that 70 114.95 115.09
you 75 115.09 115.31
found 96 115.31 115.71
so 100 116.38 116.91
the 100 116.94 117.07
first 100 117.07 117.38
thing 100 117.38 117.6
was 100 117.6 118.04
to 100 118.04 118.72
look 100 119.11 119.47
at 100 119.47 119.65
whether 83 119.65 120.24
they 100 120.27 120.41
were 100 120.41 121.01
or 100 121.18 121.62
were 100 121.65 121.86
not 100 121.86 122.3
running 100 122.56 123.25
the 100 123.41 123.72
full 100 123.72 124.02
range 100 124.02 124.69
of 100 124.98 125.21
laboratory 100 125.21 125.77
tests 100 125.77 126.39
on 100 126.84 127.36
other 55 127.41 127.75
proprietary 100 127.75 128.43
technology 100 128.43 129.27
and 100 129.78 130.12
after 100 130.12 130.7
a 93 130.7 130.77
lot 100 130.77 130.98
of 100 130.98 131.04
reporting 100 131.04 131.59
in 52 131.59 131.68
talking 99 131.68 132.07
to 100 132.07 132.22
former 100 132.22 132.59
employees 100 132.59 133.29
who 100 133.29 133.46
were 85 133.46 133.81
in 84 133.81 133.94
a 78 133.94 133.98
position 100 133.98 134.4
to 100 134.4 134.48
know 100 134.48 134.73
exactly 100 134.73 135.16
what 100 135.16 135.36
the 100 135.36 135.44
reality 100 135.44 135.89
of 100 135.89 136.04
that 100 136.04 136.29
was 98 136.29 136.9
I 100 137.38 137.54
was 100 137.54 137.71
able 100 137.71 137.93
to 100 137.93 138.02
determine 88 138.02 138.66
dead 61 138.66 138.97
of 100 138.97 139.2
the 100 139.2 139.59
more 100 139.59 139.84
than 100 139.84 139.98
two 100 139.98 140.17
hundred 100 140.17 140.47
and 77 140.47 140.58
forty 100 140.58 140.96
blood 100 140.96 141.31
tests 100 141.31 141.89
that 95 141.89 142.13
they 100 142.13 142.29
offered 100 142.29 142.76
consumers 100 142.76 143.53
at 100 143.6 143.81
their 100 143.81 144.14
blood 100 144.42 144.71
draw 78 144.71 144.95
centers 77 144.95 145.39
in 62 145.39 145.47
Walgreens 90 145.47 145.92
stores 100 145.92 146.56
that 69 147.11 147.46
at 96 147.46 147.79
the 100 147.92 148.05
very 100 148.05 148.3
most 99 148.3 148.9
at 100 148.93 149.1
the 100 149.1 149.21
end 100 149.21 149.33
of 100 149.33 149.41
two 100 149.41 149.54
thousand 100 149.54 149.84
fourteen 100 149.84 150.26
fifteen 100 150.26 150.94
of 100 150.94 151.1
them 100 151.1 151.36
were 97 151.36 151.6
run 89 151.6 152.1
on 100 152.14 152.43
their 99 152.43 152.87
pride 64 153.23 153.59
Terry 100 153.59 153.83
lab 64 153.83 154.17
instrument 87 154.17 154.67
which 100 154.67 154.87
by 100 154.87 154.98
the 100 154.98 155.08
way 100 155.08 155.27
they 100 155.27 155.64
called 80 155.79 156.08
the 100 156.08 156.23
Edison 73 156.23 156.79
after 99 156.82 157.28
the 100 157.28 157.43
inventor 100 157.43 158.05
Thomas 100 158.42 158.79
Edison 100 158.79 159.23
pretty 100 159.55 159.75
clever 53 159.75 160.15
out 59 160.34 160.58
why 100 160.58 160.79
does 97 160.79 160.92
it 81 160.92 161.02
matter 100 161.02 161.35
though 100 161.35 161.6
that 100 161.6 162.07
who 82 162.17 162.87
cares 100 162.87 163.23
which 98 163.23 163.57
instrument 100 163.57 164.1
that 58 164.1 164.21
tests 85 164.21 164.46
were 67 164.46 164.55
run 87 164.55 164.99
well 99 165.65 166.19
if 100 166.78 167.08
you're 100 167.08 167.48
asserting 100 167.48 168.08
that 100 168.08 168.26
you 55 168.26 168.37
that 96 168.37 168.5
you 50 168.5 168.62
made 97 168.62 168.78
a 100 168.78 168.82
scientific 100 168.82 169.36
breakthrough 84 169.36 170.1
that 100 170.1 170.28
it 85 170.28 170.46
enables 100 170.61 171.19
you 100 171.19 171.67
to 100 172.03 172.19
run 100 172.19 172.59
the 93 172.59 172.72
full 100 172.72 173.17
range 100 173.17 173.63
of 99 173.63 173.72
laboratory 96 173.72 174.29
tests 99 174.29 174.82
off 99 174.85 175.19
just 71 175.19 175.66
a 78 176.19 176.53
drop 100 176.53 176.87
of 100 176.87 176.98
blood 100 176.98 177.37
and 57 177.37 177.51
it 100 177.51 177.63
turns 100 177.63 177.94
out 100 177.94 178.15
that 86 178.15 178.28
you 100 178.28 178.38
can 80 178.38 178.5
only 100 178.5 178.74
do 100 178.74 178.91
fifteen 100 178.91 179.36
tests 54 179.36 179.75
then 74 179.75 180.24
you're 92 180.69 180.92
you're 100 180.92 181.1
probably 100 181.1 181.66
hyping 73 181.66 182.35
where 100 182.59 182.89
you 100 182.89 183.08
are 100 183.08 183.41
in 64 183.41 183.62
and 93 183.65 183.84
your 100 183.84 183.99
ability 99 183.99 184.54
and 67 184.54 184.7
so 100 184.7 184.93
then 100 184.93 185.1
the 100 185.1 185.17
question 100 185.17 185.73
arises 94 185.73 186.27
whether 100 186.46 186.99
you've 50 186.99 187.22
told 100 187.22 187.45
the 100 187.45 187.52
truth 100 187.52 187.9
to 99 187.9 188.28
investors 100 188.47 189.07
whether 100 189.07 189.3
you've 72 189.3 189.48
told 100 189.48 189.7
the 100 189.7 189.78
truth 100 189.78 190.16
to 100 190.16 190.29
the 100 190.29 190.38
public 100 190.38 191.01
but 100 191.68 191.83
then 100 191.83 192.02
there's 58 192.02 192.29
the 100 192.29 192.57
the 100 192.6 192.72
other 100 192.72 192.99
issue 100 192.99 193.37
that 100 193.37 193.69
I 100 193.8 194.2
discussed 74 194.2 194.67
in 69 194.67 194.75
my 99 194.75 194.86
first 100 194.86 195.17
piece 100 195.17 195.41
which 100 195.41 195.6
was 100 195.6 195.74
published 100 195.74 196.07
in 84 196.07 196.14
October 100 196.14 196.55
which 100 196.55 196.77
is 87 196.77 196.94
what 82 196.94 197.2
whether 100 197.2 197.53
or 95 197.53 197.66
not 97 197.66 198.07
the 100 198.61 198.69
testing 100 198.69 199.01
for 100 199.01 199.15
those 100 199.15 199.33
fifteen 100 199.33 199.7
tests 52 199.7 199.98
and 60 199.98 200.09
and 59 200.09 200.23
that 100 200.23 200.37
the 100 200.41 200.54
testing 100 200.54 200.94
for 100 200.94 201.11
all 100 201.11 201.26
the 100 201.26 201.37
other 100 201.37 201.59
test 50 201.59 202.01
was 97 202.4 202.94
accurate 99 203.01 203.53
and 82 203.53 203.65
produced 87 203.65 204.02
good 100 204.02 204.18
results 100 204.18 204.65
and 100 204.65 205.0
and 98 205.0 205.18
I 100 205.18 205.31
had 99 205.31 205.59
ex 97 205.59 205.84
employees 100 205.84 206.31
telling 100 206.31 206.68
me 100 206.68 207.05
that 99 207.48 207.8
%HESITATION 48 207.95 208.18
they 95 208.18 208.35
questioned 67 208.35 209.05
the 100 209.08 209.41
accuracy 100 209.44 210.07
of 100 210.07 210.21
the 100 210.21 210.34
Edison 78 210.34 210.74
machine 100 210.74 211.48
and 100 211.82 211.99
that 85 211.99 212.14
their 90 212.14 212.33
endless 15 212.33 212.56
was 97 212.56 212.72
also 100 212.72 213.35
doing 100 213.38 213.62
things 100 213.62 213.9
like 99 213.9 214.08
diluting 99 214.08 214.85
small 100 215.18 215.53
blood 100 215.53 215.87
samples 100 215.9 216.57
in 100 216.57 216.68
order 100 216.68 217.01
to 82 217.01 217.33
create 100 217.41 217.72
a 100 217.72 217.75
bigger 100 217.75 218.03
volume 100 218.03 218.45
to 100 218.45 218.54
run 100 218.54 218.8
them 100 218.8 218.97
on 97 218.97 219.08
commercial 100 219.08 219.52
analyzers 100 219.52 220.35
that 80 220.79 221.08
also 100 221.08 221.62
created 99 221.62 222.08
problems 100 222.08 222.48
with 100 222.48 222.64
accuracy 100 222.64 223.4
and 100 223.75 224.13
I 87 224.13 224.2
would 20 224.2 224.36
travel 36 224.39 224.7
to 55 224.7 224.81
Arizona 100 224.81 225.31
and 100 225.31 225.45
talk 100 225.45 225.63
to 80 225.63 225.72
patients 100 225.72 226.12
and 100 226.12 226.23
doctors 100 226.23 226.64
there 99 226.64 227.11
and 100 227.14 227.45
came 100 227.45 227.66
up 100 227.66 227.81
with 100 227.81 227.97
anecdotal 100 227.97 228.52
evidence 100 228.52 229.0
of 100 229.0 229.4
a 30 229.79 229.82
test 36 229.82 230.15
that 100 230.15 230.32
didn't 34 230.32 230.65
seem 72 230.71 231.18
to 97 231.18 231.69
square 100 231.88 232.45
with 100 232.45 232.93
comparative 100 232.93 233.56
tests 85 233.56 233.96
done 99 233.99 234.19
at 81 234.19 234.31
other 100 234.31 234.53
laboratories 100 234.53 235.21
and 90 235.21 235.36
so 100 235.36 235.67
all 100 236.03 236.31
of 100 236.31 236.46
that 100 236.46 236.82
made 100 236.85 237.16
me 100 237.16 237.43
realize 100 237.43 237.87
that 100 237.87 237.98
it 64 237.98 238.05
wasn't 100 238.05 238.35
just 100 238.35 238.72
about 100 238.72 239.21
potentially 98 239.28 239.73
company 94 239.73 240.08
that 95 240.08 240.26
it 43 240.26 240.39
over 73 240.39 240.64
hyped 73 240.64 241.21
it's 89 241.58 241.82
science 97 241.82 242.31
and 65 242.31 242.43
its 100 242.43 242.61
breakthroughs 59 242.61 243.31
but 96 243.31 243.65
it 100 243.68 243.89
might 100 243.93 244.22
also 100 244.22 244.66
be 96 244.66 244.99
a 18 244.99 245.27
a 35 245.31 245.38
matter 35 245.38 245.7
of 100 245.7 245.8
public 100 245.8 246.13
health 98 246.13 246.51
right 100 247.28 247.55
and 100 247.55 247.83
there 100 247.87 248.01
are 52 248.01 248.07
no 100 248.07 248.19
Swiss 93 248.19 248.71
briefly 100 248.85 249.36
aggressive 99 249.36 250.01
it 98 250.01 250.16
seems 98 250.16 250.69
our 27 250.69 251.12
interns 36 251.16 251.55
responding 70 251.55 252.08
to 80 252.08 252.16
your 76 252.16 252.27
story 100 252.27 252.53
both 97 252.53 252.77
before 100 252.77 253.13
it 64 253.13 253.2
ran 99 253.2 253.51
an 49 253.51 253.61
after 97 253.61 253.95
ran 48 253.95 254.23
Elizabeth 5 254.23 254.61
homes 100 254.61 255.16
actually 100 255.42 255.68
speaking 100 255.68 256.02
at 60 256.02 256.11
a 94 256.11 256.14
Wall 62 256.14 256.4
Street 62 256.4 256.7
journal 100 256.7 257.26
event 98 257.56 258.1
%HESITATION 100 258.13 258.42
was 100 258.42 258.68
critical 100 258.68 259.22
of 100 259.22 259.42
you 100 259.42 259.78
and 100 260.07 260.39
this 100 260.39 260.58
is 100 260.58 260.7
continued 100 260.7 261.26
sort 100 261.26 261.47
of 99 261.47 261.63
including 100 261.75 262.41
into 100 262.44 262.68
this 100 262.68 262.87
year 100 262.87 263.27
what 94 263.45 263.71
is 73 263.71 263.81
their 98 263.81 264.03
perspective 96 264.03 264.71
the 100 265.14 265.28
company 100 265.28 265.72
has 100 265.72 265.93
been 74 265.93 266.27
incredibly 99 266.27 267.29
aggressive 100 267.32 268.2
I 70 268.36 268.65
in 92 268.65 268.92
dealing 100 268.92 269.5
with 100 269.5 269.96
our 100 269.99 270.24
reporting 100 270.24 270.99
from 100 271.02 271.27
the 100 271.5 271.64
first 100 271.64 271.98
moment 100 271.98 272.3
that 63 272.3 272.43
I 100 272.43 272.52
asked 64 272.52 272.86
an 24 272.86 273.28
interview 85 273.28 273.82
%HESITATION 88 274.24 274.48
with 100 274.48 274.7
Elizabeth 100 274.7 275.07
homes 100 275.07 275.59
in 53 275.63 275.93
April 76 275.93 276.58
after 100 276.94 277.33
the 100 277.33 277.42
publication 100 277.42 277.97
of 85 277.97 278.03
the 100 278.03 278.12
story 100 278.12 278.67
and 62 278.67 278.89
and 64 278.89 279.06
told 52 279.06 279.39
pretty 94 279.39 279.61
much 99 279.61 280.05
today 100 280.08 280.64
in 100 281.04 281.23
addition 100 281.23 281.81
to 100 281.81 282.44
sending 100 282.6 283.05
threatening 100 283.25 283.63
letters 100 283.63 284.04
to 100 284.04 284.18
some 100 284.18 284.39
of 100 284.39 284.47
the 100 284.47 284.72
people 96 284.78 285.11
have 34 285.11 285.23
spoken 97 285.23 285.66
to 95 285.66 285.81
me 100 285.81 286.09
and 100 286.43 286.74
to 99 286.74 287.07
%HESITATION 15 287.07 287.35
trying 93 287.35 287.85
to 99 287.85 288.27
convince 100 288.51 289.13
doctors 100 289.38 290.07
who 67 290.1 290.25
had 59 290.25 290.38
given 100 290.38 290.72
me 98 290.72 291.13
accounts 100 291.43 292.12
of 99 292.12 292.49
a 60 292.52 292.67
patient 90 292.67 293.12
cases 84 293.12 293.57
and 54 293.57 293.68
trying 91 293.68 293.89
to 100 293.89 293.97
convince 100 293.97 294.47
them 100 294.47 294.8
to 84 294.83 295.24
change 59 295.77 296.11
their 89 296.11 296.26
stories 100 296.26 296.96
they've 100 297.31 297.65
also 100 297.65 298.32
are 100 298.32 298.58
systematically 100 298.58 299.34
put 93 299.53 299.77
out 48 299.77 299.95
statements 100 0.12 0.86
saying 100 1.16 1.61
that 93 1.61 1.86
that 58 1.86 1.98
are 83 1.98 2.08
reporting 100 2.08 2.51
was 100 2.51 2.68
inaccurate 94 2.68 3.52
and 67 3.88 4.26
and 100 4.26 4.45
we 100 4.45 4.57
of 100 4.57 4.68
course 95 4.68 5.05
have 89 5.09 5.31
very 100 5.31 5.47
much 100 5.47 5.66
stood 100 5.66 6.01
by 100 6.01 6.44
our 68 6.47 6.68
reporting 100 6.68 7.37
and 100 7.68 7.92
I 100 7.92 7.99
think 100 7.99 8.34
the 100 8.34 8.45
sequence 100 8.45 8.88
of 100 8.88 9.0
events 100 9.0 9.41
that 51 9.41 9.65
unfolded 91 9.69 10.37
are 33 10.44 10.71
since 65 10.71 10.92
my 100 10.92 11.05
first 100 11.05 11.42
story 100 11.42 12.0
has 100 12.41 12.61
shown 100 12.61 13.24
that 90 13.29 13.52
there 100 13.52 13.64
was 72 13.64 13.94
very 82 13.94 14.24
much 100 14.24 14.43
something 100 14.43 14.82
to 100 14.82 14.94
what 100 14.94 15.07
we 81 15.07 15.2
were 75 15.2 15.3
reporting 100 15.3 15.83
so 23 16.17 16.37
you 52 16.37 16.47
mentioned 53 16.47 16.88
threats 99 16.88 17.32
tell 98 17.32 17.56
us 100 17.56 17.7
a 100 17.7 17.75
little 100 17.75 17.96
bit 100 17.96 18.09
about 100 18.09 18.53
those 100 18.56 18.76
threats 83 18.76 19.2
well 100 19.7 20.15
one 100 20.18 20.35
of 97 20.35 20.44
my 97 20.44 20.55
sources 99 20.55 21.18
at 18 21.18 21.49
one 39 21.49 21.62
of 36 21.62 21.68
the 92 21.68 21.74
people 100 21.74 22.0
who 100 22.0 22.1
went 100 22.1 22.33
on 100 22.33 22.54
the 100 22.54 22.62
record 99 22.62 23.24
how 46 23.27 23.45
was 99 23.45 23.67
the 100 23.67 23.79
widow 57 23.79 24.46
of 100 24.49 24.84
a 98 24.89 25.17
%HESITATION 16 25.17 25.4
top 87 25.4 25.7
scientists 100 25.7 26.41
at 62 26.44 26.62
their 91 26.68 26.91
nose 86 26.91 27.38
%HESITATION 33 27.41 27.58
Rochelle 88 27.58 28.06
Gibbons 100 28.06 28.55
whose 85 28.55 28.85
husband 100 28.85 29.47
Ian 71 29.52 29.82
Gibbons 78 29.82 30.35
had 100 30.81 31.04
worked 100 31.04 31.43
at 100 31.43 31.55
the 100 31.55 31.64
company 100 31.64 32.33
for 100 32.36 32.53
eight 100 32.53 32.77
years 100 32.77 33.27
he 99 33.31 33.47
was 100 33.47 33.88
a 100 33.92 34.35
an 36 34.38 34.47
accomplished 67 34.47 35.17
British 100 35.17 35.54
biochemist 100 35.54 36.24
who 99 36.24 36.53
before 89 36.95 37.46
working 100 37.46 37.81
at 94 37.81 37.96
their 100 37.96 38.14
nose 84 38.14 38.39
had 98 38.39 38.58
worked 100 38.58 38.97
at 100 38.97 39.23
several 100 39.26 39.57
companies 100 39.57 40.05
in 79 40.05 40.12
Silicon 99 40.12 40.56
Valley 100 40.56 40.9
and 56 40.9 41.06
been 21 41.06 41.22
in 80 41.22 41.31
Silicon 99 41.31 41.75
Valley 100 41.75 42.02
for 100 42.02 42.3
several 100 42.72 43.07
decades 100 43.07 43.74
he 46 44.13 44.19
came 96 44.19 44.45
with 52 44.45 44.6
their 63 44.6 44.78
nose 13 44.78 45.0
into 16 45.0 45.19
thousand 100 45.19 45.51
five 100 45.51 46.18
and 100 46.48 46.82
was 100 46.82 46.98
one 100 46.98 47.14
of 100 47.14 47.23
their 100 47.23 47.35
top 100 47.35 47.61
scientists 74 47.61 48.13
if 96 48.13 48.26
you 100 48.26 48.37
look 100 48.37 48.52
at 100 48.52 48.64
the 100 48.64 48.72
patents 100 48.72 49.46
that 100 49.49 49.65
their 76 49.65 49.82
nose 55 49.82 50.02
has 100 50.02 50.56
he's 76 50.59 50.85
on 100 50.85 51.08
all 100 51.08 51.29
the 100 51.29 51.5
early 100 51.5 51.86
patents 100 51.86 52.47
as 100 52.89 53.12
they 34 53.12 53.45
are 49 53.45 53.64
co 89 53.64 53.9
inventor 100 53.9 54.61
and 100 54.64 55.19
what 83 55.52 55.73
happened 60 55.73 56.14
is 97 56.14 56.44
%HESITATION 95 56.48 56.79
Ian 80 56.79 57.36
committed 99 57.39 57.69
suicide 100 57.69 58.28
and 56 58.28 58.63
I 96 58.63 58.87
believe 100 58.87 59.17
it 100 59.17 59.24
was 100 59.24 59.41
may 100 59.41 59.72
of 100 59.72 59.9
two 100 59.9 60.07
thousand 100 60.07 60.45
thirteen 99 60.45 61.15
and 56 61.58 61.68
so 100 61.68 61.8
I 100 61.8 61.85
talked 64 61.85 62.15
to 100 62.15 62.25
his 100 62.25 62.4
widow 99 62.4 62.94
Rochelle 78 62.97 63.7
and 91 64.08 64.55
as 85 64.55 64.72
she 100 64.72 64.92
relayed 35 64.92 65.28
to 93 65.28 65.41
me 100 65.41 65.79
that 100 65.82 66.22
I 45 66.47 66.72
he 93 66.72 67.01
had 92 67.01 67.44
a 100 67.48 67.71
repeatedly 100 67.71 68.33
told 100 68.33 68.73
her 99 68.73 69.14
and 31 69.61 69.73
before 100 69.73 70.12
he 100 70.12 70.23
died 99 70.23 70.77
that 98 70.8 71.22
things 100 71.27 71.56
were 100 71.56 71.66
not 100 71.66 71.86
really 100 71.86 72.12
working 99 72.12 72.71
in 100 73.08 73.32
the 93 73.32 73.47
are 54 73.47 73.63
indeed 23 73.63 73.9
apartment 18 73.9 74.48
and 100 74.51 74.82
that 100 74.82 75.05
they 100 75.08 75.18
weren't 100 75.18 75.55
being 100 75.55 75.9
successful 100 75.9 76.97
in 100 77.3 77.77
implementing 100 77.82 78.81
this 99 78.84 79.0
vision 84 79.0 79.61
that 100 79.64 79.92
Elizabeth 72 79.95 80.43
had 100 80.43 80.89
at 100 80.92 81.07
least 100 81.07 81.36
four 100 81.36 81.82
%HESITATION 22 82.38 82.64
some 85 82.64 82.93
of 100 82.93 83.06
the 100 83.06 83.33
the 76 83.37 83.55
tests 71 83.55 84.11
and 100 84.48 84.73
so 100 84.73 85.22
before 100 85.5 85.89
we 100 85.89 86.02
included 99 86.02 86.61
it 100 86.61 86.78
in 33 86.83 87.19
October 100 87.26 87.71
fifteenth 100 87.71 88.13
article 100 88.13 88.5
we 100 88.5 88.84
ran 80 88.87 89.14
it 79 89.14 89.31
by 99 89.31 89.74
a 59 89.8 89.95
fair 52 89.95 90.22
no 74 90.22 90.39
sin 75 90.39 90.78
what 98 91.0 91.26
it 65 91.26 91.37
there 92 91.37 91.54
Ernest 6 91.54 91.85
do 87 91.85 92.09
there 78 92.09 92.23
are 50 92.23 92.3
no 93 92.3 92.4
scent 97 92.4 93.08
or 86 93.35 93.57
a 41 93.57 93.63
hat 45 93.63 93.85
rather 72 93.85 94.12
had 100 94.12 94.44
a 34 94.47 94.62
one 83 94.62 94.83
of 100 94.83 94.89
its 100 94.89 95.05
lawyers 100 95.05 95.46
from 99 95.46 95.88
boys 74 95.96 96.26
Schiller 100 96.26 96.63
David 99 96.63 96.94
Boies 59 96.94 97.2
is 32 97.2 97.35
firm 74 97.35 97.68
send 29 97.68 98.02
a 65 98.02 98.37
a 56 98.84 98.87
threatening 98 98.87 99.31
letter 99 99.31 99.8
to 100 99.83 100.1
Rochelle 78 100.1 100.76
telling 100 100.76 101.19
her 100 101.19 101.47
essentially 55 101.47 101.87
to 100 101.87 101.95
stop 100 101.95 102.36
talking 99 102.36 102.94
and 100 103.53 104.1
Rochelle 59 104.2 104.86
very 89 104.86 105.08
much 100 105.08 105.32
interpreted 100 105.32 105.84
that 100 105.84 106.07
letter 89 106.07 106.49
is 47 106.49 106.71
an 100 106.71 106.81
attempt 100 106.81 107.18
to 100 107.18 107.31
intimidate 100 107.31 107.86
her 100 107.86 108.09
into 89 108.09 108.32
silence 89 108.32 108.8
for 37 108.8 109.03
so 67 109.77 109.9
let's 100 109.9 110.07
talk 100 110.07 110.27
about 100 110.27 110.43
that 100 110.43 110.61
sequence 100 110.61 110.94
of 100 110.94 111.05
events 100 111.05 111.56
%HESITATION 100 111.6 112.02
maybe 81 112.35 112.65
starting 100 112.65 113.1
with 100 113.1 113.25
the 100 113.25 113.34
most 100 113.34 113.82
significant 93 113.92 114.68
in 51 114.68 114.79
recent 95 114.79 115.21
event 100 115.21 115.56
which 100 115.56 115.85
is 97 115.85 116.25
a 80 116.25 116.33
letter 100 116.33 116.63
that 100 116.63 116.86
came 100 116.86 117.14
from 100 117.14 117.47
the 100 117.47 117.56
centers 100 117.56 117.93
for 100 117.93 118.04
Medicare 100 118.04 118.43
and 57 118.43 118.53
it 32 118.82 118.9
services 97 118.9 119.39
two 100 119.52 119.95
there 62 120.2 120.47
are 27 120.47 120.55
no 27 120.55 120.78
switch 61 120.78 121.22
said 68 121.22 121.56
that 100 121.56 121.73
there 100 121.73 121.88
was 74 121.88 122.39
an 42 122.57 122.75
immediate 99 122.75 123.25
jeopardy 100 123.25 123.84
to 100 123.84 123.99
patient 100 123.99 124.55
health 100 124.71 124.98
and 100 124.98 125.11
safety 99 125.11 125.72
are 26 125.72 125.88
out 56 125.88 125.97
of 80 125.97 126.17
there 100 126.2 126.66
Norwalk 100 126.83 127.51
California 100 127.54 128.13
facility 100 128.13 128.68
the 100 128.71 128.83
Newark 61 128.83 129.24
California 98 129.24 129.83
lab 52 129.83 130.17
which 97 130.2 130.5
is 96 130.5 130.7
about 45 130.7 131.07
basically 98 131.07 131.47
right 84 131.47 131.62
across 72 131.62 131.95
San 5 131.95 132.11
Fransisco 5 132.11 132.51
bay 12 132.51 132.8
from 100 132.8 133.14
there 97 133.14 133.4
Palo 80 133.43 133.7
alto 79 133.7 134.12
headquarters 100 134.28 135.06
and 87 135.6 135.8
now 98 135.8 136.19
out 51 136.19 136.57
to 100 136.57 136.68
put 100 136.68 136.87
things 100 136.87 137.07
in 100 137.07 137.16
context 100 137.16 137.71
this 100 137.71 137.94
is 100 137.94 138.29
their 100 138.32 138.83
main 100 138.86 139.11
laboratory 95 139.11 139.58
there 79 139.58 139.7
first 100 139.7 140.01
laboratory 100 140.01 140.45
they 81 140.45 140.6
originally 100 140.6 141.18
I 38 141.21 141.39
had 46 141.39 141.62
it 49 141.62 141.75
in 100 141.78 142.17
side 77 142.45 142.78
they're 100 142.78 142.89
palatable 100 142.89 143.49
headquarters 89 143.52 144.05
and 82 144.05 144.14
then 50 144.14 144.27
they 94 144.27 144.35
moved 100 144.35 144.68
it 100 144.68 144.84
to 100 144.87 145.08
a 65 145.08 145.32
building 86 145.59 146.06
across 100 146.06 146.48
the 100 146.48 146.59
bay 100 146.59 147.0
of 100 147.39 147.55
their 100 147.55 147.68
two 100 147.68 147.89
labs 95 147.89 148.22
they 100 148.22 148.31
have 100 148.31 148.45
another 100 148.45 148.72
lab 76 148.72 149.02
in 100 149.02 149.09
the 100 149.09 149.16
Phoenix 100 149.16 149.56
area 99 149.56 149.97
%HESITATION 39 150.3 150.54
it's 92 150.54 150.77
the 100 150.77 150.85
first 100 150.85 151.15
one 100 151.15 151.35
that 100 151.35 151.48
they 100 151.48 151.58
created 99 151.58 152.0
and 49 152.0 152.09
it's 100 152.09 152.26
also 100 152.26 152.77
the 100 152.77 152.87
one 87 152.87 153.21
that 98 153.21 153.55
%HESITATION 100 153.58 153.97
contains 100 154.32 154.81
their 100 154.81 154.94
proprietary 100 154.94 155.71
devices 100 155.71 156.31
there 94 156.31 156.48
Edison 59 156.48 156.91
family 100 156.91 157.32
of 100 157.32 157.44
devices 100 157.44 157.96
that 34 157.96 158.06
also 100 158.06 158.5
contains 99 158.68 159.18
commercial 99 159.18 159.64
devices 100 159.64 160.29
but 100 160.29 160.52
unlike 100 160.55 161.04
the 100 161.04 161.15
Arizona 99 161.15 161.8
laboratory 100 162.06 162.75
this 100 162.75 162.99
is 100 162.99 163.15
where 100 163.15 163.69
%HESITATION 89 164.02 164.36
their 99 164.36 164.87
purported 37 164.9 165.61
proprietary 100 165.64 166.29
technology 79 166.29 167.03
is 95 167.03 167.59
so 100 167.96 168.51
when 100 168.54 168.66
you 100 168.66 168.77
learn 61 168.77 169.21
that 92 169.21 169.52
the 100 169.52 169.64
inspectors 100 169.64 170.26
for 100 170.26 170.41
the 100 170.41 170.5
centers 100 170.5 170.84
for 100 170.84 170.95
Medicare 100 170.95 171.37
and 100 171.37 171.57
Medicaid 100 171.67 172.05
services 100 172.05 172.46
one 85 172.46 172.65
in 100 172.65 172.81
there 99 172.81 173.2
and 100 173.63 174.0
discovered 99 174.0 174.77
%HESITATION 91 174.8 175.24
major 100 175.56 176.3
deficiencies 79 176.34 177.25
and 100 177.65 177.89
some 100 177.89 178.08
of 100 178.08 178.2
which 100 178.2 178.74
are 66 178.87 179.12
presented 100 179.12 179.62
immediate 100 179.62 180.12
jeopardy 99 180.12 180.83
%HESITATION 100 180.86 181.17
for 96 181.17 181.36
patients 57 181.36 182.18
then 100 182.48 183.04
that 100 183.07 183.31
makes 100 183.31 183.65
you 100 183.65 184.07
a 60 184.1 184.42
wonder 99 184.42 185.05
about 100 185.32 185.83
the 100 185.83 185.98
accuracy 100 185.98 186.55
of 100 186.55 186.65
the 100 186.65 186.74
testing 100 186.74 187.31
that 100 187.31 187.52
was 100 187.52 187.7
done 100 187.7 188.0
and 63 188.0 188.14
whether 91 188.14 188.65
%HESITATION 100 188.68 189.04
the 100 189.23 189.37
accuracy 100 189.37 189.82
of 100 189.82 189.88
the 100 189.88 189.97
testing 100 189.97 190.66
is 63 190.95 191.14
in 52 191.14 191.23
question 98 191.23 191.68
for 71 191.68 191.86
both 97 191.86 192.15
the 100 192.15 192.24
commercial 100 192.24 192.69
analyzers 88 192.69 193.17
they 100 193.17 193.29
have 92 193.29 193.46
in 67 193.46 193.52
that 89 193.52 193.7
lab 98 193.7 194.03
but 98 194.03 194.17
also 100 194.17 194.42
for 100 194.42 194.57
the 100 194.57 194.75
proprietary 100 195.16 195.75
analyzers 82 195.75 196.32
the 100 196.32 196.44
Edison's 50 196.44 196.85
they 100 196.85 196.95
have 100 196.95 197.16
their 96 197.16 197.38
since 100 197.79 198.08
October 100 198.08 198.45
what 100 198.45 198.64
else 53 198.64 198.86
has 100 198.86 199.14
has 100 199.14 199.4
happened 100 199.4 199.92
that 93 199.95 200.37
sort 100 200.37 200.58
of 93 200.58 200.84
lends 100 201.07 201.36
credence 100 201.36 201.71
to 100 201.71 201.97
some 100 201.97 202.18
of 100 202.18 202.24
the 100 202.24 202.3
questions 100 202.3 202.72
you've 50 202.72 202.87
raised 82 202.87 203.24
well 51 203.72 203.85
the 97 203.85 204.13
the 100 204.16 204.26
FDA 76 204.26 204.79
also 100 204.79 205.44
%HESITATION 82 205.47 205.8
inspected 99 205.8 206.63
%HESITATION 100 206.66 207.06
thoroughness 38 207.09 207.55
is 39 207.55 207.65
headquarters 81 207.65 208.15
in 71 208.15 208.23
Palo 99 208.23 208.5
alto 100 208.5 208.85
in 65 208.85 208.92
the 77 208.92 209.0
Newark 52 209.0 209.43
lab 55 209.43 209.82
I 100 210.31 210.38
believe 100 210.38 210.7
in 100 210.7 210.77
late 100 210.77 210.99
August 100 210.99 211.61
and 100 211.65 212.14
September 100 212.14 212.86
first 92 213.29 213.63
half 100 213.63 213.83
of 100 213.83 213.91
September 100 213.91 214.7
and 100 214.73 215.16
came 99 215.16 215.49
away 100 215.49 216.19
with 100 216.45 216.8
the 66 216.8 216.88
judgment 98 216.88 217.46
that 100 217.46 217.7
these 100 217.95 218.25
tiny 100 218.25 218.59
little 100 218.59 218.87
vials 83 218.87 219.4
that 100 219.4 219.67
there 92 219.67 219.81
are 85 219.81 219.88
no 47 219.88 220.01
excuses 36 220.01 220.5
that 90 220.5 220.77
that 99 220.77 220.95
Terry 25 220.95 221.12
calls 50 221.12 221.47
nano 73 221.47 221.83
trainers 27 221.83 222.33
to 100 222.33 222.45
collect 100 222.45 223.08
the 100 223.19 223.31
blood 100 223.31 223.69
from 100 223.69 224.0
finger 100 224.0 224.3
pricks 100 224.3 224.85
that 61 225.33 225.52
those 100 225.52 225.69
were 100 225.69 225.8
medical 100 225.8 226.13
devices 78 226.13 226.59
that 100 226.59 226.76
the 100 226.76 226.88
agency 100 226.88 227.35
should 100 227.35 227.64
have 100 227.64 227.82
cleared 100 227.82 228.31
and 91 228.31 228.6
was 100 228.6 228.76
not 100 228.76 229.01
given 100 229.01 229.38
the 100 229.38 229.52
opportunity 100 229.52 230.12
to 100 230.12 230.21
clear 99 230.21 230.72
%HESITATION 62 231.24 231.61
and 90 231.61 231.8
so 96 231.8 231.99
it 69 231.99 232.1
essentially 97 232.1 232.98
put 100 233.15 233.38
pressure 100 233.38 234.07
on 98 234.1 234.42
their 88 234.45 234.63
our 99 234.63 234.74
nose 44 234.74 235.28
stop 95 235.69 236.09
using 100 236.09 236.67
those 100 236.98 237.24
little 100 237.24 237.48
vials 99 237.48 238.21
for 100 238.69 238.89
all 100 238.89 239.14
but 100 239.14 239.36
one 100 239.36 239.61
test 97 239.61 240.08
a 60 240.08 240.15
test 94 240.15 240.64
to 100 240.88 240.98
detect 100 240.98 241.44
herpes 100 241.44 241.91
which 93 241.91 242.14
the 83 242.14 242.53
FDA 100 242.57 242.92
had 100 242.92 243.15
approved 100 243.15 243.64
in 100 243.64 243.74
July 99 243.74 244.29
so 91 244.85 245.32
once 91 245.35 245.96
the 100 246.18 246.34
agency 100 246.34 246.86
essentially 100 246.86 247.41
took 84 247.41 247.74
away 100 247.74 248.3
the 53 248.66 248.8
nano 52 248.8 249.12
Tanner 10 249.12 249.71
their 64 249.97 250.19
nose 97 250.19 250.45
had 46 250.45 250.71
to 98 250.71 250.83
stop 100 250.83 251.56
drawing 99 251.9 252.24
blood 100 252.24 252.62
from 100 252.62 252.84
fingers 84 252.84 253.37
in 83 253.37 253.47
the 98 253.47 253.56
hole 99 253.56 254.06
their 65 254.3 254.6
nose 81 254.6 254.81
proposition 99 254.81 255.65
which 96 255.65 255.94
is 87 255.94 256.06
a 68 256.06 256.13
tiny 96 256.13 256.45
drop 100 256.45 256.73
of 100 256.73 256.84
blood 99 256.84 257.27
**** 25 257.52 257.77
from 97 257.77 257.95
a 97 257.95 258.0
finger 99 258.0 258.52
about 25 258.55 258.84
is 94 258.84 258.96
no 100 258.96 259.08
longer 98 259.08 259.42
really 99 259.42 259.85
a 100 259.85 259.93
reality 100 259.93 260.56
in 100 260.56 260.68
the 100 260.68 260.75
field 100 260.75 261.24
and 100 261.66 261.85
in 100 261.85 262.01
fact 100 262.04 262.51
at 70 262.57 262.76
their 87 262.76 262.91
nose 84 262.91 263.12
phlebotomy 35 263.12 263.65
us 8 263.65 263.86
at 93 263.86 264.04
the 100 264.04 264.12
wellness 100 264.12 264.48
centers 71 264.48 264.9
inside 74 264.9 265.22
Walgreen's 21 265.22 265.62
stores 100 265.62 266.03
are 90 266.03 266.12
now 100 266.12 266.53
of 51 266.92 267.31
for 97 267.31 267.44
the 100 267.44 267.52
most 100 267.52 267.79
part 100 267.79 268.07
almost 99 268.07 268.44
entirely 100 268.44 269.29
drawing 100 269.33 270.05
blood 100 270.46 270.75
with 100 270.75 271.04
syringes 100 271.04 271.62
from 100 271.62 271.89
the 100 271.89 271.98
vein 85 271.98 272.31
and 92 272.31 272.46
filling 66 272.46 272.9
you 95 272.9 273.05
know 100 273.05 273.18
several 100 273.18 273.51
tubes 74 273.51 273.76
of 39 273.76 273.82
blood 97 273.82 274.16
like 100 274.16 274.41
any 100 274.41 274.61
other 100 274.61 274.79
lab 92 274.79 275.2
in 100 275.97 276.11
addition 100 276.11 276.45
there 100 276.45 276.58
been 100 276.58 276.73
questions 100 276.73 277.33
or 100 277.33 277.66
the 100 277.84 277.98
relationship 100 277.98 278.56
between 100 278.56 278.81
Walgreens 100 278.81 279.41
and 100 279.41 279.64
there 98 279.64 279.77
are 44 279.77 279.83
no 69 279.83 279.97
says 16 279.97 280.21
changing 97 280.21 280.56
right 99 280.56 280.88
that's 100 281.37 281.58
right 100 281.58 281.89
we 61 281.97 282.19
are 40 282.19 282.28
hearing 100 282.28 282.87
that 50 282.87 283.12
I 100 283.17 283.31
things 100 283.31 283.58
are 81 283.58 283.66
getting 100 283.66 284.17
tense 78 284.21 284.74
%HESITATION 37 284.8 285.07
between 97 285.07 285.48
the 100 285.48 285.58
two 100 285.58 285.76
partners 100 285.76 286.53
%HESITATION 30 287.1 287.29
Walgreens 98 287.29 287.91
after 100 287.91 288.24
our 100 288.24 288.55
October 100 288.64 289.06
fifteenth 68 289.06 289.51
story 100 289.51 290.12
made 100 290.24 290.49
it 100 290.49 290.61
clear 100 290.61 291.06
that 100 291.06 291.38
it 100 291.38 291.57
would 100 291.57 291.75
no 100 291.75 291.94
longer 100 291.94 292.6
expand 100 292.8 293.38
the 100 293.38 293.44
thoroughness 54 293.44 293.84
wellness 20 293.84 294.16
center 56 294.16 294.45
is 47 294.45 294.58
to 100 294.58 295.0
allow 8 295.05 295.17
the 85 295.17 295.28
rest 100 295.28 295.53
of 100 295.53 295.59
its 85 295.59 295.72
stores 100 295.72 296.37
%HESITATION 24 296.86 297.06
some 48 297.06 297.33
eight 64 297.33 297.47
thousand 100 297.47 297.83
stores 100 297.83 298.17
across 100 298.17 298.51
the 100 298.51 298.63
U. 100 298.63 298.77
S. 100 298.77 299.05
that 100 299.05 299.25
it 100 299.25 299.34
was 100 299.34 299.53
freezing 49 299.53 299.98
ng 47 0.03 0.27
a 50 0.66 0.7
partnership 98 0.7 1.45
to 98 1.45 1.7
the 100 1.7 2.07
are 45 2.1 2.46
forty 100 2.81 3.15
stores 100 3.15 3.54
in 77 3.54 3.63
Arizona 100 3.63 4.29
and 76 4.35 4.58
the 100 4.58 4.65
one 100 4.65 4.91
in 62 4.91 5.14
and 100 5.17 5.33
Palo 100 5.33 5.57
alto 100 5.57 6.02
and 100 6.02 6.18
then 100 6.18 6.51
following 100 6.71 7.3
the 100 7.3 7.41
CMS 69 7.41 8.0
a 52 8.04 8.21
report 95 8.21 8.76
two 100 8.86 9.01
weeks 100 9.01 9.24
ago 100 9.24 9.54
about 100 9.54 9.94
the 100 10.26 10.51
the 83 10.51 10.66
conditions 98 10.66 11.17
at 66 11.17 11.3
that 99 11.3 11.48
lab 27 11.48 11.74
that 100 11.74 11.87
pose 100 11.87 12.09
immediate 100 12.09 12.49
jeopardy 99 12.49 12.89
to 67 12.89 12.98
patients 60 12.98 13.69
Walgreens 100 13.88 14.46
immediately 100 14.46 15.23
shut 73 15.23 15.55
down 96 15.58 16.05
at 36 16.47 16.79
the 100 16.79 16.87
wellness 100 16.87 17.2
center 100 17.2 17.48
inside 83 17.48 17.9
its 30 17.9 18.02
store 100 18.02 18.35
in 100 18.35 18.43
Palo 100 18.43 18.73
alto 100 18.73 19.29
and 100 19.57 20.07
told 100 20.11 20.49
fairness 8 20.49 21.03
that 97 21.03 21.17
it 78 21.17 21.26
could 100 21.26 21.43
no 100 21.43 21.62
longer 100 21.62 22.28
test 87 22.49 22.95
any 100 22.98 23.44
blood 100 23.47 23.75
samples 100 23.75 24.19
collected 100 24.19 24.94
at 100 25.38 25.7
the 100 25.75 25.86
remaining 100 25.86 26.56
wellness 46 26.88 27.28
centers 75 27.28 27.62
in 44 27.62 27.7
Arizona 99 27.7 28.13
at 100 28.13 28.38
that 99 28.38 28.57
Newark 67 28.57 28.91
lab 62 28.91 29.3
I 100 30.25 30.35
think 100 30.35 30.53
it's 100 30.53 30.65
worth 100 30.65 31.0
also 100 31.05 31.34
stepping 100 31.34 31.7
back 100 31.7 31.93
and 100 31.93 32.03
looking 100 32.03 32.29
at 100 32.29 32.41
the 100 32.41 32.5
role 100 32.5 32.75
that 100 32.75 32.94
their 87 32.94 33.1
noses 9 33.1 33.44
played 98 33.44 33.78
in 61 33.78 33.94
in 100 33.97 34.08
a 100 34.08 34.13
broader 100 34.13 34.49
discussion 100 34.49 34.97
about 100 34.97 35.29
modernizing 100 35.29 35.95
laboratory 100 35.95 36.68
tests 100 36.98 37.53
%HESITATION 15 37.56 37.79
Elizabeth 60 37.79 38.19
homes 99 38.19 38.57
and 80 38.57 38.7
their 75 38.7 38.86
innermost 4 38.86 39.21
played 91 39.21 39.42
a 100 39.42 39.46
role 100 39.46 39.86
in 100 39.86 40.02
getting 100 40.02 40.27
the 91 40.27 40.35
Arizona 75 40.35 40.89
legislature 100 40.89 41.57
to 100 41.57 41.67
change 99 41.67 42.04
a 79 42.04 42.09
law 91 42.09 42.39
which 98 42.39 42.65
allowed 100 42.65 43.1
patients 60 43.4 43.93
to 100 43.93 44.2
no 100 44.2 44.4
longer 100 44.4 44.74
require 100 44.74 45.31
a 84 45.31 45.37
prescription 100 45.37 45.96
to 100 45.96 46.12
get 100 46.12 46.4
a 100 46.4 46.46
lab 91 46.46 46.74
test 37 46.74 47.07
now 94 47.07 47.44
allowing 57 47.64 47.94
patients 72 47.94 48.33
to 98 48.33 48.47
directly 100 48.47 48.85
go 100 48.85 48.98
to 100 48.98 49.07
a 57 49.07 49.15
lab 70 49.15 49.5
and 98 49.5 49.9
get 87 50.12 50.3
a 50 50.3 50.34
test 37 50.34 50.72
what 100 51.08 51.3
is 100 51.3 51.39
the 100 51.39 51.5
role 100 51.5 51.78
in 78 51.78 51.89
changing 98 51.89 52.33
sort 100 52.33 52.49
of 100 52.49 52.55
the 100 52.55 52.62
way 100 52.62 52.8
we 100 52.8 52.93
look 100 52.93 53.13
at 100 53.13 53.24
that 96 53.24 53.47
testing 99 53.47 53.85
at 56 53.85 53.99
their 97 53.99 54.15
innocence 11 54.15 54.51
Roland 74 54.51 54.93
that 100 55.79 56.02
was 100 56.02 56.28
a 100 56.28 56.55
pretty 100 56.55 56.91
significant 100 56.91 57.71
event 84 57.71 58.14
the 100 58.17 58.62
%HESITATION 100 58.65 59.03
Arizona 100 59.13 59.56
legislature 94 59.56 60.52
I 100 60.52 60.63
believe 88 60.63 61.16
in 36 61.2 61.6
about 27 61.63 61.89
July 100 61.89 62.55
of 100 62.82 62.96
last 100 62.96 63.32
year 100 63.32 63.55
enacted 100 63.55 64.15
into 100 64.18 64.56
law 100 64.56 65.03
a 100 65.39 65.56
bill 100 65.56 66.0
on 21 66.0 66.33
that 100 66.33 66.49
said 100 66.49 66.87
that 100 66.87 67.09
if 87 67.15 67.6
you 100 67.6 67.74
were 89 67.74 68.15
a 83 68.18 68.21
consumer 97 68.21 68.75
out 100 68.75 68.95
there 86 68.95 69.21
in 53 69.21 69.41
in 84 69.41 69.57
Arizona 100 69.57 70.02
you 96 70.02 70.18
could 61 70.18 70.32
just 99 70.32 70.59
go 99 70.59 70.96
and 100 71.46 71.8
not 73 71.8 72.12
get 100 72.12 72.27
your 100 72.27 72.38
blood 100 72.38 72.65
tested 100 72.65 73.28
and 100 73.31 73.57
not 98 73.57 73.89
have 99 73.89 74.52
a 100 74.73 74.96
a 100 74.96 75.05
prescription 100 75.05 75.6
from 100 75.6 75.81
a 81 75.81 75.86
doctor 100 75.86 76.19
you 100 76.19 76.31
could 79 76.31 76.44
go 99 76.44 76.68
in 80 76.68 76.85
and 100 76.88 77.21
do 100 77.21 77.35
it 100 77.35 77.42
on 100 77.42 77.54
your 100 77.54 77.7
own 100 77.7 77.87
now 98 77.87 78.2
that 100 78.61 78.85
was 100 78.85 79.01
controversial 100 79.01 79.87
because 100 79.87 80.34
of 30 80.34 80.62
their 86 80.62 80.73
many 100 80.73 81.06
in 100 81.06 81.18
the 100 81.18 81.41
medical 100 81.55 81.91
profession 100 81.91 82.4
who 100 82.4 82.51
say 100 82.51 83.04
%HESITATION 42 83.46 83.7
including 100 83.7 84.2
you 100 84.2 84.3
know 67 84.3 84.51
the 94 84.55 84.66
general 100 84.66 84.96
practitioners 100 84.96 85.65
who 100 85.65 85.76
would 86 85.76 85.91
usually 99 85.91 86.36
Abby 60 86.36 86.67
the 100 86.67 86.77
middleman 55 86.77 87.29
who 100 87.29 87.43
would 87 87.43 87.69
give 97 87.73 87.92
you 100 87.92 88.04
that 100 88.04 88.22
prescription 98 88.22 88.72
who 96 88.72 88.83
say 61 88.83 89.06
well 61 89.06 89.39
how 98 89.95 90.25
is 77 90.25 90.41
that 99 90.41 90.68
progress 99 90.68 91.39
because 99 91.39 92.12
once 100 92.15 92.57
the 68 92.57 92.9
the 100 92.93 93.02
patient 88 93.02 93.64
you 100 94.09 94.23
know 98 94.23 94.33
has 97 94.33 94.69
those 100 94.69 95.21
%HESITATION 41 95.24 95.46
test 99 95.46 95.84
results 99 95.84 96.51
and 78 96.89 97.15
more 100 97.15 97.29
likely 100 97.29 97.63
than 100 97.63 97.79
not 99 97.79 98.09
they're 94 98.09 98.22
gonna 51 98.22 98.47
need 100 98.47 99.08
a 100 99.43 99.59
doctor's 100 99.59 100.25
opinion 100 100.25 100.79
to 100 100.79 100.94
decipher 100 100.94 101.43
them 100 101.43 101.69
and 49 101.69 101.86
and 95 101.86 102.21
to 100 102.21 102.33
know 100 102.33 102.59
what 100 102.59 102.9
those 100 102.9 103.1
results 100 103.1 103.51
mean 100 103.51 103.98
and 100 104.42 104.67
so 100 104.67 104.83
why 100 104.83 105.11
not 100 105.11 105.52
keep 100 105.61 105.9
the 100 105.9 106.0
doctor 100 106.0 106.36
involved 100 106.36 107.07
from 100 107.07 107.28
the 100 107.28 107.36
beginning 100 107.36 108.08
so 100 108.56 108.88
that 98 108.88 109.21
first 100 109.21 109.55
of 100 109.55 109.65
all 100 109.65 109.76
there 100 109.76 109.95
is 100 109.95 110.15
a 100 110.15 110.23
logic 100 110.23 110.76
for 100 110.76 111.08
forgetting 59 111.11 111.68
the 100 111.68 111.77
blood 100 111.77 112.05
tests 83 112.05 112.46
and 96 112.46 112.6
then 100 112.6 112.9
and 100 113.15 113.31
then 100 113.31 113.45
there's 66 113.45 113.69
an 100 113.69 113.78
expert 100 113.78 114.13
opinion 100 114.13 114.58
there 100 114.58 114.79
when 72 114.79 115.01
the 64 115.01 115.13
test 75 115.13 115.5
results 100 115.5 115.93
arrive 100 115.93 116.59
and 100 116.97 117.18
to 100 117.18 117.29
help 100 117.29 117.53
you 97 117.53 117.64
read 100 117.64 117.91
them 100 117.91 118.1
and 64 118.1 118.25
interpret 100 118.25 118.72
them 97 118.72 118.94
so 100 119.48 119.64
you 100 119.64 119.78
don't 89 119.78 119.93
have 99 119.93 120.02
a 100 120.02 120.06
crystal 100 120.06 120.42
ball 100 120.42 120.66
and 100 120.66 120.78
I 100 120.78 120.86
don't 98 120.86 121.06
either 98 121.06 121.45
and 100 122.02 122.24
some 70 122.24 122.4
not 100 122.4 122.55
gonna 37 122.55 122.67
ask 100 122.67 122.84
you 100 122.84 122.93
what's 100 122.93 123.18
going 85 123.18 123.31
to 85 123.31 123.37
happen 100 123.37 123.72
but 100 123.72 123.88
I 100 123.88 123.99
I 97 124.07 124.2
do 92 124.2 124.43
think 100 124.43 124.62
it's 65 124.62 124.73
worthwhile 61 124.73 125.11
to 100 125.11 125.2
get 100 125.2 125.36
your 100 125.36 125.45
perspective 100 125.45 125.97
on 100 125.97 126.14
water 77 126.14 126.39
things 100 126.39 126.7
that 100 126.7 126.84
people 100 126.84 127.1
should 100 127.1 127.34
look 100 127.34 127.6
for 100 127.6 128.05
as 97 128.23 128.45
a 68 128.45 128.52
story 99 128.52 128.93
evolves 100 128.93 129.37
in 100 129.37 129.46
terms 100 129.46 129.76
of 72 129.76 129.86
barometers 34 129.86 130.51
on 47 130.51 130.89
on 95 131.1 131.3
where 37 131.3 131.48
they're 71 131.48 131.69
in 34 131.69 131.77
our 18 131.77 131.88
society 42 131.88 132.3
well 84 133.47 133.59
the 76 133.59 133.83
the 100 133.95 134.08
first 100 134.08 134.42
thing 100 134.42 134.6
I 100 134.6 134.66
think 100 134.66 134.87
people 95 134.87 135.42
should 53 135.45 135.65
take 100 135.65 135.88
a 100 135.88 135.92
look 100 135.92 136.17
at 81 136.17 136.41
is 70 136.41 136.57
whether 98 136.57 137.16
%HESITATION 47 137.19 137.43
fairness 10 137.43 138.25
I 26 138.28 138.41
manages 86 138.41 139.13
to 99 139.13 139.67
affix 19 139.7 140.3
these 97 140.3 140.79
major 92 140.86 141.25
deficiencies 100 141.25 141.94
as 56 141.94 142.18
at 97 142.25 142.42
its 100 142.42 142.65
New 62 142.65 142.77
York 46 142.77 142.96
facility 100 142.96 143.73
our 78 144.17 144.63
over 100 144.63 144.82
the 100 144.82 144.92
next 100 144.92 145.15
few 100 145.15 145.3
weeks 94 145.3 145.78
for 10 145.98 146.06
the 97 146.06 146.19
next 100 146.19 146.45
few 100 146.45 146.58
months 100 146.58 146.81
my 97 146.81 146.97
understanding 100 146.97 147.74
is 100 148.04 148.3
that 100 148.3 148.53
that 40 148.56 148.85
the 74 148.85 148.92
company 75 148.92 149.26
just 97 149.26 149.48
got 100 149.48 149.65
another 100 149.65 149.91
ten 100 149.91 150.14
day 100 150.14 150.25
extension 100 150.25 150.77
it 45 150.77 150.84
was 99 150.84 150.96
originally 100 150.96 151.38
given 100 151.38 151.68
ten 100 151.68 151.96
days 100 151.96 152.51
I'll 62 152.85 153.22
and 57 153.22 153.44
on 100 153.44 153.56
Friday 100 153.56 154.3
obtained 100 154.34 154.87
another 98 154.87 155.19
ten 100 155.19 155.48
days 100 155.48 156.0
and 100 156.27 156.56
it 100 156.56 156.69
may 100 156.69 156.86
be 100 156.86 156.98
able 100 156.98 157.14
to 100 157.14 157.23
get 99 157.23 157.55
several 100 157.58 158.03
more 99 158.03 158.55
extensions 100 158.58 159.26
but 100 159.26 159.45
at 93 159.45 159.73
a 100 159.73 159.79
certain 100 159.79 160.06
point 100 160.06 160.33
the 100 160.33 160.41
clock 100 160.41 160.77
is 100 160.77 160.87
going 60 160.87 161.01
to 60 161.01 161.07
stop 100 161.07 161.53
and 72 161.53 161.84
around 100 161.89 162.23
late 100 162.23 162.49
March 100 162.49 163.09
if 100 163.45 163.89
the 100 163.92 164.03
company 100 164.03 164.55
hasn't 100 164.55 165.11
resolved 100 165.2 165.98
those 100 166.36 166.62
issues 100 166.62 167.04
or 57 167.04 167.15
at 100 167.15 167.25
least 100 167.25 167.76
submitted 100 167.96 168.51
to 100 168.51 168.66
the 100 168.66 168.81
agency 100 168.81 169.31
to 100 169.31 169.46
CMS 35 169.46 170.14
a 78 170.17 170.44
credible 97 170.44 171.03
plan 100 171.03 171.35
of 100 171.35 171.45
correction 100 171.45 172.23
then 86 172.57 173.07
of 39 173.1 173.42
the 100 173.42 173.54
agency 100 173.54 173.91
will 100 173.91 174.07
make 100 174.07 174.38
its 100 174.38 174.64
inspection 100 174.68 175.21
report 100 175.21 175.65
which 100 175.65 175.81
I'm 100 175.81 175.94
told 100 175.94 176.2