1
00:00:00,030 --> 00:00:01,030
Okay, whenever you're ready.

2
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Whoops.

3
00:00:08,540 --> 00:00:09,439
Sorry.

4
00:00:09,440 --> 00:00:10,460
I'm gonna wreck your stuff.

5
00:00:12,480 --> 00:00:13,819
Watch your head and your feet.

6
00:00:13,820 --> 00:00:15,099
Well I'm looking through this little

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tiny square, right?

8
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There we go.

9
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So often we'll get schools

10
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of them kind of at the

11
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pond apron here, so I

12
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was hoping that would be the case so

13
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you could get some footage, but

14
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because it's sunny out they might be

15
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further out towards the edges.

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What do we have here?

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So these are walleye

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ponds. This is kind of a traditional

19
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way of raising walleye for stocking

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purposes, certainly in

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Wisconsin and the rest of the

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Midwest.

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So the vast majority walleye raised

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in aquaculture are done in ponds

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just like this.

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Raising walleye in ponds like this

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is kind of challenging because

28
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you're subject to the weather

29
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conditions and a lot of

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predators outdoors that you can't

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really control for.

32
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So we kind of stock our fish in

33
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there shortly after hatch and

34
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more or less hope for the best

35
00:01:16,760 --> 00:01:18,239
well-following best practices.

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We fertilize our ponds so that

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we get a good algae growth and

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zooplankton hatch for those fish

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to consume.

40
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Then eventually we'll be trucking in

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00:01:28,590 --> 00:01:30,429
minnows to feed them as they get

42
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to the size where they can start

43
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consuming larger fish.

44
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And then by October they should be

45
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roughly nine inches and

46
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ready to stock out into the lakes.

47
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So when did they start feeding on

48
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other fish?

49
00:01:44,399 --> 00:01:46,379
Very shortly, so as

50
00:01:46,380 --> 00:01:47,859
soon as they can fit another fish in

51
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their mouth ultimately is when

52
00:01:49,380 --> 00:01:51,959
they'll start feeding on other fish.

53
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We order different sizes

54
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of minnows so we start with what's

55
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called the tuffy size fathead minnow

56
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and then they'll

57
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be on that for a couple of weeks and

58
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then they can get full-sized fathead

59
00:02:02,680 --> 00:02:04,619
Minnows and we're ultimately

60
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feeding them fathead and it was all

61
00:02:06,160 --> 00:02:08,138
the way up until October when

62
00:02:08,139 --> 00:02:09,460
they're ready to be stocked out.

63
00:02:13,560 --> 00:02:15,279
For how many...

64
00:02:22,980 --> 00:02:24,939
We started with 50,000

65
00:02:24,940 --> 00:02:26,579
fish in each of these ponds.

66
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So these are the fish, when we were

67
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up here, we saw...

68
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Some of the fish saw

69
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some eggs come out.

70
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Yep.

71
00:02:32,810 --> 00:02:34,149
So those hatched and then they

72
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split.

73
00:02:35,740 --> 00:02:37,579
Yeah so these the

74
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same fish that are inside are

75
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the brothers and sisters of the fish

76
00:02:41,100 --> 00:02:42,739
out here so they all hatch from the

77
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same group and we just split

78
00:02:44,640 --> 00:02:46,399
them out into these different ponds

79
00:02:46,400 --> 00:02:48,819
and into the systems inside so

80
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we'll have what are ultimately the

81
00:02:50,540 --> 00:02:52,019
samefish that we're stocking both

82
00:02:52,020 --> 00:02:53,839
from outdoor ponds, and

83
00:02:53,840 --> 00:02:55,759
our indoor systems, and we'll see

84
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which ones ultimately do the best

85
00:02:57,800 --> 00:02:59,259
once they're stocked out in the lake

86
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and which ones we get the better

87
00:03:01,060 --> 00:03:02,879
return from. This is

88
00:03:02,880 --> 00:03:04,779
definitely more expensive.

89
00:03:04,780 --> 00:03:06,879
At the moment, yes, because minnow

90
00:03:06,880 --> 00:03:08,839
costs have gotten really expensive,

91
00:03:08,840 --> 00:03:10,719
this way of raising them is

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00:03:10,720 --> 00:03:12,339
now quite a bit more expensive than

93
00:03:12,340 --> 00:03:14,579
raising them indoors, but

94
00:03:14,580 --> 00:03:16,399
that can change as

95
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minnow cost change.

96
00:03:18,200 --> 00:03:19,759
The other thing is you don't know

97
00:03:19,760 --> 00:03:21,019
the survival that you're going to

98
00:03:21,020 --> 00:03:22,899
get out of these fish outdoors

99
00:03:22,900 --> 00:03:24,939
because they're exposed to predation

100
00:03:24,940 --> 00:03:26,739
and weather conditions.

101
00:03:26,740 --> 00:03:28,679
So we have a bit of control over

102
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that inside.

103
00:03:29,970 --> 00:03:31,429
And we can ensure that we're gonna

104
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have a better survival,

105
00:03:33,250 --> 00:03:34,469
which makes that a little bit of a

106
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cheaper option.

107
00:03:35,560 --> 00:03:36,959
Would these fish be tougher though?

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That's what we're gonna hopefully

109
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figure out.

110
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They might be better at catching

111
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prey.

112
00:03:43,210 --> 00:03:45,129
They might better suited to lake

113
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conditions because they've been

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raised in a pond.

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It's hard to say.

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00:03:49,770 --> 00:03:51,729
So the sampling that we do in

117
00:03:51,730 --> 00:03:53,089
the next couple of years will really

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tell us the story on if

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00:03:55,350 --> 00:03:57,269
our indoor fish perform just as well

120
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as these pond fish.

121
00:03:58,410 --> 00:03:59,829
And we'll hopefully see it this

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fall, but how do you tell the

123
00:04:01,450 --> 00:04:02,429
difference?

124
00:04:02,430 --> 00:04:04,389
Yeah, so we're going to

125
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be clipping different fins for

126
00:04:06,610 --> 00:04:07,809
our indoor fish and our outdoor

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fish.

128
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That way, when we do our surveys

129
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and we pull those fish out, we can

130
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tell if it came from indoors,

131
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from outdoors, or if it's a wild

132
00:04:15,750 --> 00:04:17,528
fish that hasn't been clipped.

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So we'll look at the relative

134
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returns of those different fin clips

135
00:04:21,070 --> 00:04:22,649
in our population when we're

136
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sampling.

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00:04:23,400 --> 00:04:25,379
And that'll be through bike nets,

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sletcher shocking.

139
00:04:26,690 --> 00:04:27,809
Yeah, there's going to be a variety

140
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of sampling.

141
00:04:29,190 --> 00:04:31,169
Electroshocking, we have creel

142
00:04:31,170 --> 00:04:32,649
surveys where anglers will tell us

143
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which fins they catch if they're

144
00:04:34,090 --> 00:04:35,909
aware of it, and also

145
00:04:35,910 --> 00:04:37,809
our population assessments that

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00:04:37,810 --> 00:04:39,929
GLIFWC is going to run next

147
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year.

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00:04:44,220 --> 00:04:46,719
Do you ever have any idea how you

149
00:04:46,720 --> 00:04:48,299
say you sometimes you can see them,

150
00:04:48,300 --> 00:04:48,829
but

151
00:04:48,830 --> 00:04:50,209
Yeah, sometimes you'll be able to

152
00:04:50,210 --> 00:04:51,529
see them, but you really don't have

153
00:04:51,530 --> 00:04:53,649
any idea what your survival

154
00:04:53,650 --> 00:04:55,689
is at any given time.

155
00:04:55,690 --> 00:04:57,589
What we do do, though, is we

156
00:04:57,590 --> 00:04:58,989
monitor water quality really

157
00:04:58,990 --> 00:05:00,509
closely. We're looking at dissolved

158
00:05:00,510 --> 00:05:02,469
oxygen constantly.

159
00:05:02,470 --> 00:05:04,929
We're look at the phytoplankton

160
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population.

161
00:05:06,050 --> 00:05:07,349
We're are looking at the relative

162
00:05:07,350 --> 00:05:08,429
phosphorus and nitrogen

163
00:05:08,430 --> 00:05:10,449
concentrations, and we're

164
00:05:10,450 --> 00:05:11,689
trying to keep them in the most

165
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optimal parameters for these

166
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fish to do well.

167
00:05:14,910 --> 00:05:16,909
And if we do all of that right and

168
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we get lucky with the weather and

169
00:05:18,370 --> 00:05:19,889
get lucky with predators then we'll

170
00:05:19,890 --> 00:05:21,209
get a good amount of fish out of

171
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here. If any of those things go

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wrong it can change that

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equation quite a bit and we might

174
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not get very many fish out and that

175
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happens sometimes.

176
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So it's just a bit more of a gamble

177
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with these outdoor systems.

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00:05:32,750 --> 00:05:34,809
It keeps it fun of course,

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00:05:34,810 --> 00:05:36,829
but it's a bit more challenging for

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sure.

181
00:05:37,180 --> 00:05:38,759
What are the most common predators

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00:05:38,760 --> 00:05:39,760
out here?

183
00:05:40,440 --> 00:05:41,639
Yeah, there's you have a fence you

184
00:05:41,640 --> 00:05:42,629
have some

185
00:05:42,630 --> 00:05:44,209
Yep so you'll notice we have our

186
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fence and we have that flashing that

187
00:05:46,050 --> 00:05:48,029
goes all the way around and that

188
00:05:48,030 --> 00:05:49,989
hopefully prevents any frogs

189
00:05:49,990 --> 00:05:51,829
and turtles and

190
00:05:51,830 --> 00:05:53,369
you know anything else from getting

191
00:05:53,370 --> 00:05:54,589
in.

192
00:05:54,590 --> 00:05:56,189
In practice stuff still gets in

193
00:05:56,190 --> 00:05:57,629
certainly.

194
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So those can be predators.

195
00:05:59,370 --> 00:06:01,089
Birds are far and away the biggest

196
00:06:01,090 --> 00:06:02,209
predators that we have to worry

197
00:06:02,210 --> 00:06:03,210
about.

198
00:06:03,830 --> 00:06:05,649
We'll get mergansers flying in here,

199
00:06:05,650 --> 00:06:07,549
we get kingfisher every now and

200
00:06:07,550 --> 00:06:08,689
then.

201
00:06:08,690 --> 00:06:10,609
There'll be herons that like to

202
00:06:10,610 --> 00:06:11,889
hang out in the shallows can

203
00:06:11,890 --> 00:06:13,969
probably do. A big number on

204
00:06:13,970 --> 00:06:15,969
the population in these ponds,

205
00:06:15,970 --> 00:06:17,949
so part of it is

206
00:06:17,950 --> 00:06:19,469
trying to be out here enough to try

207
00:06:19,470 --> 00:06:21,350
to scare those birds away as well,

208
00:06:22,370 --> 00:06:23,909
but you can't be here all the time

209
00:06:23,910 --> 00:06:24,910
so they're going to find a way.

210
00:06:26,990 --> 00:06:28,309
We'll actually occasionally get

211
00:06:28,310 --> 00:06:30,789
otter, raccoons,

212
00:06:30,790 --> 00:06:32,729
all kinds of fun stuff that can

213
00:06:32,730 --> 00:06:34,609
come in here and take out your fish.

214
00:06:36,550 --> 00:06:38,369
How many ponds do you have here?

215
00:06:38,370 --> 00:06:40,429
So we have four ponds here

216
00:06:40,430 --> 00:06:42,209
and we're currently running three of

217
00:06:42,210 --> 00:06:43,210
them.

218
00:06:43,800 --> 00:06:45,659
In theory, how many fry were put

219
00:06:45,660 --> 00:06:46,660
up?

220
00:06:46,840 --> 00:06:49,319
We started with 50,000

221
00:06:49,320 --> 00:06:51,299
fly right after hatch in

222
00:06:51,300 --> 00:06:53,039
each of these ponds.

223
00:06:53,040 --> 00:06:55,239
So it's really interesting though,

224
00:06:55,240 --> 00:06:56,479
even though these- 150,000.

225
00:06:56,480 --> 00:06:58,459
150,00 in total, yep.

226
00:06:58,460 --> 00:07:00,899
And roughly 80,000 inside.

227
00:07:00,900 --> 00:07:01,719
So a little bit of a different

228
00:07:01,720 --> 00:07:02,799
number.

229
00:07:02,800 --> 00:07:04,039
But it'll be interesting, even

230
00:07:04,040 --> 00:07:05,199
though all these pond are right next

231
00:07:05,200 --> 00:07:06,879
to each other and we're doing more

232
00:07:06,880 --> 00:07:08,119
or less the same thing to each of

233
00:07:08,120 --> 00:07:10,239
this, without fail we'll

234
00:07:10,240 --> 00:07:11,599
get quite a bit of different

235
00:07:11,600 --> 00:07:13,699
survival among these pons.

236
00:07:13,700 --> 00:07:14,549
So that's why.

237
00:07:14,550 --> 00:07:15,989
It's good to have replication when

238
00:07:15,990 --> 00:07:17,410
we're doing studies, right?

239
00:07:18,710 --> 00:07:20,669
So, but yeah, 150 fish in

240
00:07:20,670 --> 00:07:22,209
total in these ponds, at least at

241
00:07:22,210 --> 00:07:24,429
the start, roughly 80,000

242
00:07:24,430 --> 00:07:26,769
total indoors, and

243
00:07:26,770 --> 00:07:28,629
hopefully we'll get the numbers that

244
00:07:28,630 --> 00:07:30,169
the Lake Association and Red Cliff

245
00:07:30,170 --> 00:07:32,189
are looking for for stocking and

246
00:07:32,190 --> 00:07:33,609
enough numbers to get those returns

247
00:07:33,610 --> 00:07:34,959
for our study.

248
00:07:34,960 --> 00:07:36,659
So Red Cliff has ponds as well,

249
00:07:36,660 --> 00:07:37,019
right?

250
00:07:37,020 --> 00:07:39,359
Yep, Red Cliff has three ponds.

251
00:07:39,360 --> 00:07:40,359
They look a little bit different

252
00:07:40,360 --> 00:07:42,219
because they're lined with

253
00:07:42,220 --> 00:07:43,420
a HDPE liner.

254
00:07:45,340 --> 00:07:47,499
And that's one of the studies that

255
00:07:47,500 --> 00:07:49,339
I'm hoping to get funding

256
00:07:49,340 --> 00:07:51,179
to look at is, in the

257
00:07:51,180 --> 00:07:52,999
state of Wisconsin, the

258
00:07:53,000 --> 00:07:54,779
Wisconsin DNR has noticed that a lot

259
00:07:54,780 --> 00:07:57,059
of the walleye raised in ponds

260
00:07:57,060 --> 00:07:59,079
will have really skewed sex

261
00:07:59,080 --> 00:08:01,999
ratios towards female

262
00:08:02,000 --> 00:08:03,939
sex ratios in those ponds, and

263
00:08:03,940 --> 00:08:05,309
we're not really sure why.

264
00:08:05,310 --> 00:08:06,929
It could be due to temperature

265
00:08:06,930 --> 00:08:07,729
differences.

266
00:08:07,730 --> 00:08:09,689
Those lined ponds are darker, so the

267
00:08:09,690 --> 00:08:10,909
water temperatures might be warmer

268
00:08:10,910 --> 00:08:12,869
at critical periods.

269
00:08:12,870 --> 00:08:14,689
But it also could be, due

270
00:08:14,690 --> 00:08:16,849
to something leaching from those

271
00:08:16,850 --> 00:08:18,709
HDPE pond liners, that could

272
00:08:18,710 --> 00:08:20,909
have endocrine disrupting potential.

273
00:08:20,910 --> 00:08:22,829
So I've put in a grant to look at

274
00:08:22,830 --> 00:08:24,869
that, take water samples,

275
00:08:24,870 --> 00:08:26,829
and look at if there's any endocrin

276
00:08:26,830 --> 00:08:29,049
disruptors that are at biologically

277
00:08:29,050 --> 00:08:30,709
relevant concentrations that could

278
00:08:30,710 --> 00:08:33,488
be causing those skewed sex ratios.

279
00:08:33,489 --> 00:08:35,329
Essentially killing the males,

280
00:08:35,330 --> 00:08:37,079
not changing the males into females.

281
00:08:37,080 --> 00:08:38,899
No, certainly not killing the

282
00:08:38,900 --> 00:08:41,019
males, but leaching

283
00:08:41,020 --> 00:08:43,259
compounds that mimic

284
00:08:43,260 --> 00:08:45,079
estrogen and can bind to

285
00:08:45,080 --> 00:08:47,239
the estrogen receptor and

286
00:08:47,240 --> 00:08:49,539
can therefore cause

287
00:08:49,540 --> 00:08:51,459
maturation and development to go

288
00:08:51,460 --> 00:08:52,619
a little bit differently for the

289
00:08:52,620 --> 00:08:53,599
males.

290
00:08:53,600 --> 00:08:55,979
Increased the telogenin expression,

291
00:08:55,980 --> 00:08:57,959
which is an egg yolk protein that

292
00:08:57,960 --> 00:08:59,339
males aren't supposed to express.

293
00:08:59,340 --> 00:09:01,919
And you'll see males,

294
00:09:01,920 --> 00:09:03,119
otherwise male fish,

295
00:09:04,500 --> 00:09:06,439
producing ovaries and

296
00:09:06,440 --> 00:09:07,959
having testes that have ovary,

297
00:09:07,960 --> 00:09:09,739
ovarian cysts inside of them and

298
00:09:09,740 --> 00:09:11,859
stuff. So it's really interesting

299
00:09:11,860 --> 00:09:13,059
when that happens.

300
00:09:13,060 --> 00:09:14,239
So we'll be able to look at these

301
00:09:14,240 --> 00:09:15,639
fish and kind of see if that is

302
00:09:15,640 --> 00:09:17,459
happening with those plastic lined

303
00:09:17,460 --> 00:09:18,499
ponds.

304
00:09:18,500 --> 00:09:19,919
Because interestingly we don't see

305
00:09:19,920 --> 00:09:21,799
the same skewed sex ratios in our

306
00:09:21,800 --> 00:09:23,379
clay lined ponds that don't have a

307
00:09:23,380 --> 00:09:25,019
plastic liner.

308
00:09:25,020 --> 00:09:26,799
So, are they technically

309
00:09:26,800 --> 00:09:29,259
hermaphroditic then, or what is the,

310
00:09:29,260 --> 00:09:30,979
how do we describe that?

311
00:09:30,980 --> 00:09:32,859
Yeah, so fish are really

312
00:09:32,860 --> 00:09:34,939
interesting in sex determination and

313
00:09:34,940 --> 00:09:36,039
maturation.

314
00:09:36,040 --> 00:09:38,039
So we're still figuring out a lot

315
00:09:38,040 --> 00:09:40,259
about the processes involved

316
00:09:40,260 --> 00:09:42,119
in sex determination for

317
00:09:42,120 --> 00:09:43,899
walleye. It's looking like they're

318
00:09:43,900 --> 00:09:45,819
not XY sex

319
00:09:45,820 --> 00:09:47,699
determining, but a lot more

320
00:09:47,700 --> 00:09:48,799
research has to be done to figure

321
00:09:48,800 --> 00:09:50,479
out the exact mechanism for sex

322
00:09:50,480 --> 00:09:51,480
determination.

323
00:09:52,060 --> 00:09:54,159
There's a lot of organisms that have

324
00:09:54,160 --> 00:09:56,539
temperature-dependent

325
00:09:56,540 --> 00:09:58,839
maturation and sex determination.

326
00:09:58,840 --> 00:10:00,639
And it's possible that walleye fall

327
00:10:00,640 --> 00:10:02,219
into that category.

328
00:10:02,220 --> 00:10:03,959
So that's why we're also looking at

329
00:10:03,960 --> 00:10:05,739
the temperature aspect with those

330
00:10:05,740 --> 00:10:07,019
lying ponds that might be a little

331
00:10:07,020 --> 00:10:07,859
bit warmer.

332
00:10:07,860 --> 00:10:09,619
That could be the mechanism and not

333
00:10:09,620 --> 00:10:11,279
endocrine disruptors for those

334
00:10:11,280 --> 00:10:12,559
skewed sex ratios.

335
00:10:12,560 --> 00:10:14,259
So you can, can you sex the fish

336
00:10:14,260 --> 00:10:15,419
when you're stocking them when

337
00:10:15,420 --> 00:10:16,739
they're that size?

338
00:10:16,740 --> 00:10:18,159
It's difficult, it's probably about

339
00:10:18,160 --> 00:10:20,719
as early as you can sexless fish,

340
00:10:20,720 --> 00:10:22,599
but we'll take some samples

341
00:10:22,600 --> 00:10:24,479
and look at the histology

342
00:10:24,480 --> 00:10:26,299
and be able to tell if they have

343
00:10:26,300 --> 00:10:28,139
testes or ovaries at that

344
00:10:28,140 --> 00:10:28,140
point.

345
00:10:28,141 --> 00:10:29,309
So in the lab, you can do that right

346
00:10:29,310 --> 00:10:30,068
now? Yep.

347
00:10:30,069 --> 00:10:31,829
You wouldn't be able to take one and

348
00:10:31,830 --> 00:10:32,830
visually look at it.

349
00:10:33,840 --> 00:10:34,979
Spring when you're harvesting eggs

350
00:10:34,980 --> 00:10:36,779
you have to express them to try and

351
00:10:36,780 --> 00:10:37,799
figure out male and female.

352
00:10:37,800 --> 00:10:39,139
Yeah, yep.

353
00:10:39,140 --> 00:10:41,039
And when they're nine inches, it's

354
00:10:41,040 --> 00:10:42,179
almost impossible.

355
00:10:42,180 --> 00:10:44,119
There is a

356
00:10:44,120 --> 00:10:45,979
sexual dimorphism where

357
00:10:45,980 --> 00:10:47,899
males will be quite a bit smaller

358
00:10:47,900 --> 00:10:49,879
than females on average, but that's

359
00:10:49,880 --> 00:10:51,559
not a reliable enough metric that

360
00:10:51,560 --> 00:10:53,419
you can take a cohort and

361
00:10:53,420 --> 00:10:55,259
just measure them and say this

362
00:10:55,260 --> 00:10:57,079
smaller population is likely all

363
00:10:57,080 --> 00:10:58,080
male, so.

364
00:11:02,340 --> 00:11:03,340
Otherwise

365
00:11:04,280 --> 00:11:05,280
How does it look?

366
00:11:06,560 --> 00:11:08,399
So our ponds, we had

367
00:11:08,400 --> 00:11:10,599
a really overcast week last

368
00:11:10,600 --> 00:11:12,499
week. And that can be a

369
00:11:12,500 --> 00:11:14,699
challenge, because even if we have

370
00:11:14,700 --> 00:11:16,799
optimal nitrogen and phosphorus

371
00:11:16,800 --> 00:11:18,779
ratios in the

372
00:11:18,780 --> 00:11:20,599
ponds if we don't have sun,

373
00:11:20,600 --> 00:11:22,199
we're not getting that algal bloom

374
00:11:22,200 --> 00:11:22,999
that we want.

375
00:11:23,000 --> 00:11:24,560
And we don't have as good of a

376
00:11:24,561 --> 00:11:26,039
zooplankton bloom.

377
00:11:26,040 --> 00:11:27,999
So these are much clearer than we

378
00:11:28,000 --> 00:11:29,419
would like. We want them to be more

379
00:11:29,420 --> 00:11:31,599
turbid. The walleye like that and

380
00:11:31,600 --> 00:11:33,239
the things with a lot of meat like

381
00:11:33,240 --> 00:11:34,240
that.

382
00:11:34,520 --> 00:11:36,219
So they're clearer than we would

383
00:11:36,220 --> 00:11:37,439
like. You don't want to be able to

384
00:11:37,440 --> 00:11:38,460
see the bottom generally.

385
00:11:40,240 --> 00:11:42,159
But we have a nice sunny day so

386
00:11:42,160 --> 00:11:43,659
hopefully that'll kick things off

387
00:11:43,660 --> 00:11:45,659
and we'll see some some algal

388
00:11:45,660 --> 00:11:47,759
blooms and really good zooplankton

389
00:11:47,760 --> 00:11:48,469
hatch.

390
00:11:48,470 --> 00:11:49,629
All the stuff over here, that's

391
00:11:49,630 --> 00:11:51,079
good. That's what we need.

392
00:11:51,080 --> 00:11:52,580
Yeah, yeah, ultimately.

393
00:11:54,020 --> 00:11:56,259
Granted, we want the smaller

394
00:11:56,260 --> 00:11:59,399
algae, like the small little

395
00:11:59,400 --> 00:12:01,459
green algae, so

396
00:12:01,460 --> 00:12:03,739
not the large kind of filamentous

397
00:12:03,740 --> 00:12:04,740
algae on the top.

398
00:12:08,630 --> 00:12:10,189
I think we're just going to get some

399
00:12:10,190 --> 00:12:12,249
b-roll out here and then we'll

400
00:12:12,250 --> 00:12:13,250
join you back in.

401
00:12:20,000 --> 00:12:21,139
Plastic, man.

402
00:12:21,140 --> 00:12:22,299
Makes you want another punch of your

403
00:12:22,300 --> 00:12:23,420
being a touch of plastic again.

404
00:13:03,079 --> 00:13:04,899
Does their thing not working affect

405
00:13:04,900 --> 00:13:05,979
our schedule at all?

406
00:13:07,040 --> 00:13:07,879
Oh, no.

407
00:13:07,880 --> 00:13:09,519
As long as they start today in time,

408
00:13:09,520 --> 00:13:10,739
they'll see some video recording.

409
00:13:10,740 --> 00:13:12,579
Sure. We don't even desperately need

410
00:13:12,580 --> 00:13:13,580
them.

411
00:16:52,850 --> 00:16:54,569
Yeah, just drop one down the grave,

412
00:16:54,570 --> 00:16:56,409
but it'll be there

413
00:16:56,410 --> 00:16:57,410
tomorrow.