Jan. 31, 2026
Comedy Podcast Neighborhoods - an analysis of who listens to what
Johnny Mac, shares insights from AI analysis of listener behavior which reveals that comedy intersecting with politics, money, and elite institutions garners high engagement, while neutral coverage underperforms. The analysis indicates Daily Comedy News shares an audience with podcasts like 'Conan O'Brien Needs a Friend,' 'WTF with Marc Maron,' 'SmartLess,' and 'Fly on the Wall.' The community prefers personality-led, long-form conversations and established figures over emerging voices and high-energy content. Mac's audience values predictability, continuity, and in-depth reflections over chaotic and confrontational shows. The insights suggest podcast discovery is driven by short-form video platforms, while podcasts maintain retention.
Become a supporter of this podcast: https://www.spreaker.com/podcast/daily-comedy-news-with-johnny-mac--4522158/support.
Daily Comedy News is the number one comedy news podcast, delivering daily coverage of standup comedy, late night television, comedy specials, tours, and the business of comedy.
COMEDY SURVIVOR in the facebook group.
Contact John at John@thesharkdeck dot com
Thanks to our sponsors!
Underdog Fantasy Promo Code DCN
For Uninterrupted Listening, use the Apple Podcast App and click the banner that says Uninterrupted Listening. $4.99/month
John's Substack about media is free.
WEBVTT
1
00:00:03.160 --> 00:00:12.880
Callaroga Shark Media. Hey there, I'm Johnnie Mack, and today
2
00:00:13.160 --> 00:00:15.000
I gotta talk about some other stuff as I've been
3
00:00:15.080 --> 00:00:17.839
talking about for the weekends of January. I just wanna
4
00:00:18.120 --> 00:00:20.199
just do some other things, experiment with the format a
5
00:00:20.239 --> 00:00:23.600
little bit. I was running the stats from twenty twenty
6
00:00:23.640 --> 00:00:26.320
five to see what was resonating or not. I'm always
7
00:00:26.320 --> 00:00:28.239
trying to grow the show and get more listeners in.
8
00:00:28.519 --> 00:00:31.079
I ran this through AI, and the AI tells me
9
00:00:31.120 --> 00:00:36.320
based on episode performance. Conflict driven stories outperform announcements. Comedy
10
00:00:36.359 --> 00:00:41.359
intersecting with politics, money or elite institutions drives engagement. Comedy
11
00:00:41.359 --> 00:00:46.039
intersecting with politics goes to both Colbert and Kimmel. Intersecting
12
00:00:46.079 --> 00:00:50.000
with money is the Rio Comedy Festival, and elite institutions
13
00:00:50.280 --> 00:00:52.960
is things around the White House or perhaps the Kennedy Center.
14
00:00:53.600 --> 00:00:57.920
The secondary episodes are comedians responding to comedians. So if
15
00:00:57.960 --> 00:01:00.479
I can find a story where you know, comedian calls
16
00:01:00.520 --> 00:01:04.239
out comedian, why those do really well and actually outperform
17
00:01:04.280 --> 00:01:09.480
the original event, that's interesting and what underperforms is neutral coverage.
18
00:01:09.560 --> 00:01:12.680
So you guys like me like a good fight, which
19
00:01:12.799 --> 00:01:17.000
brings me to today's topic of comedy neighborhoods. I use
20
00:01:17.040 --> 00:01:19.719
this website called refonic r E P h O N.
21
00:01:19.760 --> 00:01:23.799
I see. It's a podcast analytics platform that aggregates and
22
00:01:23.920 --> 00:01:28.159
models listener behavior. They pull it from the Apple podcast data.
23
00:01:28.319 --> 00:01:31.920
But what they try to do is visualize relationships between shows.
24
00:01:32.239 --> 00:01:34.840
They create this like really cool graphic where you'll see,
25
00:01:34.879 --> 00:01:37.000
like if I type in daily Coming News, they'll be
26
00:01:37.159 --> 00:01:40.840
lines connecting to other shows. So they kind of map
27
00:01:40.840 --> 00:01:42.640
it out the way they map out a star chart
28
00:01:42.640 --> 00:01:45.200
on your favorite science fiction show. So here in the middle,
29
00:01:45.280 --> 00:01:47.640
I see daily comedy news, and then there are lines
30
00:01:47.680 --> 00:01:50.359
to different shows, so I see like a direct line.
31
00:01:50.879 --> 00:01:53.840
One of the closest things is the Last Laugh podcast
32
00:01:53.959 --> 00:01:57.719
that makes sense. Lewis Black's Rant cast to the Netflix
33
00:01:57.799 --> 00:02:00.799
is a joke podcast. Then some longer line things like
34
00:02:00.879 --> 00:02:04.319
Conan O'Brien and Club Random and the Weekly Show even
35
00:02:04.359 --> 00:02:07.040
to Late Night with Seth Myers. There's an overlap between
36
00:02:07.040 --> 00:02:09.560
people who like the Seth Meyers podcast and me. Now
37
00:02:09.560 --> 00:02:12.840
that's funny. If we zoom out, we go deeper into
38
00:02:12.879 --> 00:02:16.280
the universe. Out past the Seth Myers orbit is the
39
00:02:16.360 --> 00:02:19.039
Cobert orbit. If you go out far enough, you'll go
40
00:02:19.120 --> 00:02:22.960
to pot Save America. That's interesting. But then even within
41
00:02:23.280 --> 00:02:26.199
these if you zoom in here, now here is what
42
00:02:26.319 --> 00:02:30.000
they call a neighborhood. And I have tenuous connections to
43
00:02:30.080 --> 00:02:32.439
some of these shows, but all living in what they
44
00:02:32.479 --> 00:02:36.240
call the same comedy neighborhood are Two Bears, One Cave
45
00:02:36.360 --> 00:02:40.360
and Bad Friends and Whiskey Ginger, Bill Burr, Tosh Are
46
00:02:40.400 --> 00:02:43.080
You Garbage? So like you could see all those shows
47
00:02:43.199 --> 00:02:45.960
kind of sharing an audience, and I only somewhat share
48
00:02:45.960 --> 00:02:48.759
an audience with them. So as we break this down,
49
00:02:48.800 --> 00:02:50.400
and again, I was looking at this because I'm always
50
00:02:50.439 --> 00:02:52.360
trying to grow the show, and I wanted to figure out,
51
00:02:52.400 --> 00:02:54.840
all right, people who like this show also like what show?
52
00:02:54.840 --> 00:02:56.719
Maybe I should talk about that stuff a little bit more.
53
00:02:56.840 --> 00:02:59.280
And you can go to this thing. It's rafonic dot com.
54
00:02:59.319 --> 00:03:01.639
Just look up comedy neighborhoods and it explains that each
55
00:03:01.719 --> 00:03:05.800
line represents shared subscribers. Distance matters. Shows that appear close
56
00:03:05.840 --> 00:03:08.840
together share a higher percentage of the same listeners. Clusters
57
00:03:08.879 --> 00:03:11.719
form when many shows share overlapping audiences. So that list
58
00:03:11.719 --> 00:03:14.360
I just gave you of like Whiskey, Junior and Bill,
59
00:03:14.400 --> 00:03:16.360
They're all sharing an audience together. And I'm a little
60
00:03:16.400 --> 00:03:19.240
further away from them. So what did Johnny Mack learn
61
00:03:19.840 --> 00:03:22.800
AI and tells me? The first clear observation is that
62
00:03:22.919 --> 00:03:26.080
daily comedy news does not cluster with stand up comedy feeds,
63
00:03:26.159 --> 00:03:31.560
Joe compilations, improv podcasts, or TikTok driven comedy properties. Instead,
64
00:03:32.080 --> 00:03:35.360
it sits inside a dense cluster of talk based, personality
65
00:03:35.439 --> 00:03:40.520
led legacy comedian podcasts. The closest and most consistently linked
66
00:03:40.599 --> 00:03:44.719
shows include Conan O'Brien Needs a Friend. The show emphasizes
67
00:03:44.800 --> 00:03:49.280
extended conversation, recurring co hosts, and minimal topical urgency. WTF
68
00:03:49.280 --> 00:03:52.800
with Mark Maren, known for introspective interviews, long run times,
69
00:03:52.840 --> 00:03:57.039
and a focus on creative process SmartLess I should probably
70
00:03:57.039 --> 00:03:58.960
talk about those guys a little bit more. While lighter
71
00:03:59.000 --> 00:04:02.199
in tone, it is structural, similar long conversations, familiar hosts
72
00:04:02.240 --> 00:04:05.159
and minimal emphasis on topical comedy. And Fly on the
73
00:04:05.199 --> 00:04:08.840
Wall with Dana Carvey and David Spade, which interesting enough
74
00:04:08.919 --> 00:04:12.000
talk about rhads not taken. I was with Cadence thirteen
75
00:04:12.000 --> 00:04:14.120
when they did that deal. I still don't know why
76
00:04:14.120 --> 00:04:16.480
they didn't ask me to produce that. It's fine, I'm
77
00:04:16.519 --> 00:04:18.519
not upset, and my mom was pretty sick at that time,
78
00:04:18.519 --> 00:04:20.199
so that might have been the choice that maybe my
79
00:04:20.319 --> 00:04:22.800
head wasn't totally in the game. That could be the reason.
80
00:04:23.240 --> 00:04:24.839
And I don't mean that as a dick. My boss
81
00:04:24.920 --> 00:04:27.920
was very very very very very I can't say very
82
00:04:27.959 --> 00:04:30.879
enough times, very very very kind. It gave me a
83
00:04:30.920 --> 00:04:32.879
lot of rope and a lot of space to just
84
00:04:33.000 --> 00:04:35.160
do what I needed to do at that time. So
85
00:04:35.199 --> 00:04:36.839
it could have been that that they didn't want to
86
00:04:37.240 --> 00:04:40.000
burden me with having to produce another show. Because I
87
00:04:40.040 --> 00:04:41.879
do play hard, so if you give me work, I
88
00:04:41.879 --> 00:04:44.560
will do it so as I do out loud therapy here.
89
00:04:44.639 --> 00:04:46.879
That might have been an act of kindness. But on paper,
90
00:04:47.600 --> 00:04:50.959
I'm the person you know, age wise or resume wise,
91
00:04:51.160 --> 00:04:53.519
I'm the person you probably would ask to produce such
92
00:04:53.519 --> 00:04:56.079
a show regardless. We share an audience to daily comedy
93
00:04:56.079 --> 00:04:59.120
news and Fly on the Wall, a nostalgia driven interview show.
94
00:04:59.560 --> 00:05:04.000
Now it's interesting here is Maren's older than me, Carvey's
95
00:05:04.040 --> 00:05:07.480
older than me. How old Spade he's older than me? Right? Yeah,
96
00:05:07.519 --> 00:05:10.399
Spade's sixty one. I'm fifty six. In case you're curious,
97
00:05:11.040 --> 00:05:14.839
I think Jason Bateman is my age. Bateman is fifty
98
00:05:14.879 --> 00:05:17.720
six might be fifty seven by the time you hear this,
99
00:05:17.759 --> 00:05:20.480
depending on what I deployed it. January fourteenth, nineteen sixty
100
00:05:20.560 --> 00:05:23.639
nine is his birthday. Happy Birthday, Jason Bateman. So yeah,
101
00:05:23.720 --> 00:05:27.040
all right, So it makes sense that people who like
102
00:05:27.439 --> 00:05:30.720
dudes in their fifties and sixties like other dudes in
103
00:05:30.759 --> 00:05:32.800
their fifties. Does that all makes sense to me? Like,
104
00:05:32.839 --> 00:05:36.160
I don't expect the TikTok comedian fans to dig what
105
00:05:36.160 --> 00:05:38.839
I'm doing here. As I was talking with Mike Chisholm
106
00:05:38.839 --> 00:05:41.800
from The Letterman podcast recently, I was like, you know,
107
00:05:41.879 --> 00:05:43.879
we're sitting here talking about a show that came out
108
00:05:43.959 --> 00:05:47.399
forty years ago. AI tells me, also appearing within the
109
00:05:47.560 --> 00:05:50.519
cluster or shows like Rob Low, Good Hang, and other
110
00:05:50.680 --> 00:05:55.759
personality led conversation podcast that prioritize familiarity and low conflict listening.
111
00:05:56.240 --> 00:05:58.959
The data indicates that listeners who subscribe to DCN are
112
00:05:59.000 --> 00:06:02.240
the same listeners who's subscribe to those shows. That implies
113
00:06:02.240 --> 00:06:05.360
a set of preferences to this is you guys. You
114
00:06:05.439 --> 00:06:08.959
guys subscribe to hosts, not formats. Thank you. I take
115
00:06:09.000 --> 00:06:12.720
that as high compliment. They value continuity over novelty. They
116
00:06:12.759 --> 00:06:17.439
tolerate long run times in conversational pacing. They're comfortable with analysis, reflection,
117
00:06:17.560 --> 00:06:21.279
and repetition, which reminds me one time, Joe Quoitnaw, I'm
118
00:06:21.279 --> 00:06:24.240
not going to do that today. Oh this is interesting.
119
00:06:24.519 --> 00:06:28.519
This cluster skews heavily towards comedian and entertainers whose primary
120
00:06:28.560 --> 00:06:32.720
career breakthroughs occurred before the rise of social media comedy discovery.
121
00:06:33.040 --> 00:06:36.759
These are not emerging voices. These are established figures using
122
00:06:36.839 --> 00:06:41.759
podcasts retain and monetize existing audiences. Very interesting. I've got
123
00:06:41.759 --> 00:06:47.160
more analysis after this break. Continuing our look at the
124
00:06:47.240 --> 00:06:51.439
Daily Comedy News comedy neighborhood where I find myself, AYI
125
00:06:51.560 --> 00:06:54.480
tells me. The map shows adjacency to a second, smaller
126
00:06:54.600 --> 00:06:59.519
cluster focused on comedy as process rather than performance. Shows
127
00:06:59.600 --> 00:07:02.120
like Block That's Neil Brennan's Pod and Good One appear
128
00:07:02.160 --> 00:07:06.199
as secondary neighbors. These podcasts explicitly analyze how jokes are written,
129
00:07:06.240 --> 00:07:08.879
how bits evolve, and how comedians think about craft. They're
130
00:07:08.879 --> 00:07:11.839
not built for casual listening. Their presence in the Daily
131
00:07:11.879 --> 00:07:14.480
Comedy News neighborhood suggests that a meaningful portion of the
132
00:07:14.480 --> 00:07:18.319
audience is interested in how comedy works, not just consuming it.
133
00:07:18.720 --> 00:07:21.040
That makes sense to me. I would imagine that is
134
00:07:21.120 --> 00:07:24.199
one of the reasons you pick this particular program. A
135
00:07:24.319 --> 00:07:28.680
third nearby grouping consists of comfort oriented conversational podcasts. Again,
136
00:07:28.759 --> 00:07:31.079
I will take that as a compliment. I'm just trying
137
00:07:31.079 --> 00:07:33.759
to keep you company here. I'm not a comedian. I've
138
00:07:33.800 --> 00:07:36.079
never performed comedy. I don't claim to be a comedian.
139
00:07:36.120 --> 00:07:39.639
I don't claim to be funny. Hopefully I'm amusing at times.
140
00:07:39.639 --> 00:07:41.600
There seem to be some recurring bits that people like,
141
00:07:41.680 --> 00:07:45.040
but I'm obviously not here shucking jokes. The AI says
142
00:07:45.040 --> 00:07:48.399
these are low stake shows designed for passive listening. Their
143
00:07:48.399 --> 00:07:51.519
connection to DCN reinforces the idea that this audience values
144
00:07:51.600 --> 00:07:56.040
predictability and routine. Finally, at the outer edges of the cluster,
145
00:07:56.439 --> 00:08:00.759
remnants of legacy late night television ecosystems appear. Podcasts tied
146
00:08:00.800 --> 00:08:03.079
to the daily show, late night hosts, and political comedy
147
00:08:03.079 --> 00:08:06.079
are connected, but with weaker overlap. Equally important is what
148
00:08:06.160 --> 00:08:09.199
does not appear near daily comedy news. This is interesting.
149
00:08:09.959 --> 00:08:13.000
There's little to no proximity to stand up album feeds,
150
00:08:13.160 --> 00:08:16.920
short form comedy podcasts, or personality driven, shock or argument
151
00:08:16.959 --> 00:08:20.680
based shows. Those live in separate neighborhoods with different listener behavior.
152
00:08:21.160 --> 00:08:23.759
The data suggests that daily comedy news serves an audience
153
00:08:23.800 --> 00:08:28.480
that uses comedy podcasts as contextual media, not entertainment first content.
154
00:08:28.839 --> 00:08:32.879
These listeners are tracking an industry, not chasing laughs. Some
155
00:08:32.960 --> 00:08:36.120
good analysis here by the AI. This data indicates that
156
00:08:36.240 --> 00:08:40.600
podcast subscriptions, unlike social media follows, are conservative. Listeners are
157
00:08:40.600 --> 00:08:43.600
reluctant to commit time to unfamiliar voices unless trust has
158
00:08:43.600 --> 00:08:46.960
already been established elsewhere. In effect, discovery has moved out
159
00:08:46.960 --> 00:08:51.240
of podcasts. Short form video platforms now handle discovery, podcasts
160
00:08:51.240 --> 00:08:54.559
handle retention. That division explains why comedians who break on
161
00:08:54.600 --> 00:08:57.519
TikTok or Instagram often struggle to translate that audience into
162
00:08:57.519 --> 00:09:02.240
podcast subscriptions, while legacy comedian maintain strong audio audiences even
163
00:09:02.279 --> 00:09:05.759
as their television relevance declines. Another conclusion from the cluster
164
00:09:05.799 --> 00:09:10.440
structure is tone tolerance. Listeners in this neighborhood tolerate introspection, repetition,
165
00:09:10.919 --> 00:09:13.399
and even periods of low energy Hi I'm Johnny Mac.
166
00:09:14.240 --> 00:09:18.759
What they do not tolerate is chaos. Podcasts built on confrontation, outrage,
167
00:09:18.840 --> 00:09:22.039
or aggressive performance styles are structurally absent from this cluster
168
00:09:22.720 --> 00:09:25.559
that makes sense. I'm not a yeller and screamer. The
169
00:09:25.600 --> 00:09:28.679
dominant cluster around Daily Comedy News reflects listeners who likely
170
00:09:28.720 --> 00:09:31.879
aged out of appointment television and high energy stand up consumption.
171
00:09:32.399 --> 00:09:34.720
These listeners still on comedy, but in a format that
172
00:09:34.799 --> 00:09:38.919
integrates into daily life rather than demanding attention. Interesting stuff there,
173
00:09:39.399 --> 00:09:42.720
and that's today's episode of Daily Comedy News. I'll see
174
00:09:42.720 --> 00:09:43.159
you tomorrow.
1
00:00:03.160 --> 00:00:12.880
2
00:00:13.160 --> 00:00:15.000
3
00:00:15.080 --> 00:00:17.839
4
00:00:18.120 --> 00:00:20.199
5
00:00:20.239 --> 00:00:23.600
6
00:00:23.640 --> 00:00:26.320
7
00:00:26.320 --> 00:00:28.239
8
00:00:28.519 --> 00:00:31.079
9
00:00:31.120 --> 00:00:36.320
10
00:00:36.359 --> 00:00:41.359
11
00:00:41.359 --> 00:00:46.039
12
00:00:46.079 --> 00:00:50.000
13
00:00:50.280 --> 00:00:52.960
14
00:00:53.600 --> 00:00:57.920
15
00:00:57.960 --> 00:01:00.479
16
00:01:00.520 --> 00:01:04.239
17
00:01:04.280 --> 00:01:09.480
18
00:01:09.560 --> 00:01:12.680
19
00:01:12.799 --> 00:01:17.000
20
00:01:17.040 --> 00:01:19.719
21
00:01:19.760 --> 00:01:23.799
22
00:01:23.920 --> 00:01:28.159
23
00:01:28.319 --> 00:01:31.920
24
00:01:32.239 --> 00:01:34.840
25
00:01:34.879 --> 00:01:37.000
26
00:01:37.159 --> 00:01:40.840
27
00:01:40.840 --> 00:01:42.640
28
00:01:42.640 --> 00:01:45.200
29
00:01:45.280 --> 00:01:47.640
30
00:01:47.680 --> 00:01:50.359
31
00:01:50.879 --> 00:01:53.840
32
00:01:53.959 --> 00:01:57.719
33
00:01:57.799 --> 00:02:00.799
34
00:02:00.879 --> 00:02:04.319
35
00:02:04.359 --> 00:02:07.040
36
00:02:07.040 --> 00:02:09.560
37
00:02:09.560 --> 00:02:12.840
38
00:02:12.879 --> 00:02:16.280
39
00:02:16.360 --> 00:02:19.039
40
00:02:19.120 --> 00:02:22.960
41
00:02:23.280 --> 00:02:26.199
42
00:02:26.319 --> 00:02:30.000
43
00:02:30.080 --> 00:02:32.439
44
00:02:32.479 --> 00:02:36.240
45
00:02:36.360 --> 00:02:40.360
46
00:02:40.400 --> 00:02:43.080
47
00:02:43.199 --> 00:02:45.960
48
00:02:45.960 --> 00:02:48.759
49
00:02:48.800 --> 00:02:50.400
50
00:02:50.439 --> 00:02:52.360
51
00:02:52.400 --> 00:02:54.840
52
00:02:54.840 --> 00:02:56.719
53
00:02:56.840 --> 00:02:59.280
54
00:02:59.319 --> 00:03:01.639
55
00:03:01.719 --> 00:03:05.800
56
00:03:05.840 --> 00:03:08.840
57
00:03:08.879 --> 00:03:11.719
58
00:03:11.719 --> 00:03:14.360
59
00:03:14.400 --> 00:03:16.360
60
00:03:16.400 --> 00:03:19.240
61
00:03:19.840 --> 00:03:22.800
62
00:03:22.919 --> 00:03:26.080
63
00:03:26.159 --> 00:03:31.560
64
00:03:32.080 --> 00:03:35.360
65
00:03:35.439 --> 00:03:40.520
66
00:03:40.599 --> 00:03:44.719
67
00:03:44.800 --> 00:03:49.280
68
00:03:49.280 --> 00:03:52.800
69
00:03:52.840 --> 00:03:57.039
70
00:03:57.039 --> 00:03:58.960
71
00:03:59.000 --> 00:04:02.199
72
00:04:02.240 --> 00:04:05.159
73
00:04:05.199 --> 00:04:08.840
74
00:04:08.919 --> 00:04:12.000
75
00:04:12.000 --> 00:04:14.120
76
00:04:14.120 --> 00:04:16.480
77
00:04:16.519 --> 00:04:18.519
78
00:04:18.519 --> 00:04:20.199
79
00:04:20.319 --> 00:04:22.800
80
00:04:23.240 --> 00:04:24.839
81
00:04:24.920 --> 00:04:27.920
82
00:04:27.959 --> 00:04:30.879
83
00:04:30.920 --> 00:04:32.879
84
00:04:33.000 --> 00:04:35.160
85
00:04:35.199 --> 00:04:36.839
86
00:04:37.240 --> 00:04:40.000
87
00:04:40.040 --> 00:04:41.879
88
00:04:41.879 --> 00:04:44.560
89
00:04:44.639 --> 00:04:46.879
90
00:04:47.600 --> 00:04:50.959
91
00:04:51.160 --> 00:04:53.519
92
00:04:53.519 --> 00:04:56.079
93
00:04:56.079 --> 00:04:59.120
94
00:04:59.560 --> 00:05:04.000
95
00:05:04.040 --> 00:05:07.480
96
00:05:07.519 --> 00:05:10.399
97
00:05:11.040 --> 00:05:14.839
98
00:05:14.879 --> 00:05:17.720
99
00:05:17.759 --> 00:05:20.480
100
00:05:20.560 --> 00:05:23.639
101
00:05:23.720 --> 00:05:27.040
102
00:05:27.439 --> 00:05:30.720
103
00:05:30.759 --> 00:05:32.800
104
00:05:32.839 --> 00:05:36.160
105
00:05:36.160 --> 00:05:38.839
106
00:05:38.839 --> 00:05:41.800
107
00:05:41.879 --> 00:05:43.879
108
00:05:43.959 --> 00:05:47.399
109
00:05:47.560 --> 00:05:50.519
110
00:05:50.680 --> 00:05:55.759
111
00:05:56.240 --> 00:05:58.959
112
00:05:59.000 --> 00:06:02.240
113
00:06:02.240 --> 00:06:05.360
114
00:06:05.439 --> 00:06:08.959
115
00:06:09.000 --> 00:06:12.720
116
00:06:12.759 --> 00:06:17.439
117
00:06:17.560 --> 00:06:21.279
118
00:06:21.279 --> 00:06:24.240
119
00:06:24.519 --> 00:06:28.519
120
00:06:28.560 --> 00:06:32.720
121
00:06:33.040 --> 00:06:36.759
122
00:06:36.839 --> 00:06:41.759
123
00:06:41.759 --> 00:06:47.160
124
00:06:47.240 --> 00:06:51.439
125
00:06:51.560 --> 00:06:54.480
126
00:06:54.600 --> 00:06:59.519
127
00:06:59.600 --> 00:07:02.120
128
00:07:02.160 --> 00:07:06.199
129
00:07:06.240 --> 00:07:08.879
130
00:07:08.879 --> 00:07:11.839
131
00:07:11.879 --> 00:07:14.480
132
00:07:14.480 --> 00:07:18.319
133
00:07:18.720 --> 00:07:21.040
134
00:07:21.120 --> 00:07:24.199
135
00:07:24.319 --> 00:07:28.680
136
00:07:28.759 --> 00:07:31.079
137
00:07:31.079 --> 00:07:33.759
138
00:07:33.800 --> 00:07:36.079
139
00:07:36.120 --> 00:07:39.639
140
00:07:39.639 --> 00:07:41.600
141
00:07:41.680 --> 00:07:45.040
142
00:07:45.040 --> 00:07:48.399
143
00:07:48.399 --> 00:07:51.519
144
00:07:51.600 --> 00:07:56.040
145
00:07:56.439 --> 00:08:00.759
146
00:08:00.800 --> 00:08:03.079
147
00:08:03.079 --> 00:08:06.079
148
00:08:06.160 --> 00:08:09.199
149
00:08:09.959 --> 00:08:13.000
150
00:08:13.160 --> 00:08:16.920
151
00:08:16.959 --> 00:08:20.680
152
00:08:21.160 --> 00:08:23.759
153
00:08:23.800 --> 00:08:28.480
154
00:08:28.839 --> 00:08:32.879
155
00:08:32.960 --> 00:08:36.120
156
00:08:36.240 --> 00:08:40.600
157
00:08:40.600 --> 00:08:43.600
158
00:08:43.600 --> 00:08:46.960
159
00:08:46.960 --> 00:08:51.240
160
00:08:51.240 --> 00:08:54.559
161
00:08:54.600 --> 00:08:57.519
162
00:08:57.519 --> 00:09:02.240
163
00:09:02.279 --> 00:09:05.759
164
00:09:05.799 --> 00:09:10.440
165
00:09:10.919 --> 00:09:13.399
166
00:09:14.240 --> 00:09:18.759
167
00:09:18.840 --> 00:09:22.039
168
00:09:22.720 --> 00:09:25.559
169
00:09:25.600 --> 00:09:28.679
170
00:09:28.720 --> 00:09:31.879
171
00:09:32.399 --> 00:09:34.720
172
00:09:34.799 --> 00:09:38.919
173
00:09:39.399 --> 00:09:42.720
174
00:09:42.720 --> 00:09:43.159