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0:00
This. He.
0:02
Is Twists this weekend. Science
0:05
Episode number Nine Hundred Sixty
0:07
Nine Recorded on Wednesday, May.
0:09
Eight, Two Thousand and Twenty
0:11
Four. Where. Are all
0:14
the science mom's. Hey
0:16
everyone, I'm Doctor Kiki and tonight
0:18
on the show we are going
0:20
to fill your head with light
0:22
leprosy. And. Little implants,
0:25
But. First. Thanks. To
0:27
our amazing patriot sponsors for their
0:29
generous support of twists. You.
0:31
Can become a part of
0:33
the Patriot community at patriot.com/this
0:35
weekend science. The. School
0:39
I'm a disclaimer: Disclaimer: Kids.
0:42
These days. It's. A
0:44
phrase often spoken by people have a
0:46
certain age before detailing all the things
0:48
they can go wrong with the current
0:50
generation of young people. And.
0:53
Being of a certain age myself, I think
0:55
it's time that I weigh in on. Kids.
0:58
These days. Hands
1:01
these days it's. Been. A
1:03
lot of time on social
1:05
media, watching the you tubes
1:07
the influences and playing video
1:10
games online. In. My
1:12
day. We. Didn't do any of that. Online
1:15
hadn't been invented yet. For one. Instead.
1:18
Of getting information from Google, we
1:20
get a lot of information that
1:22
requires some level of so scrutiny.
1:24
Differentiate good sources from bad. In.
1:27
My day. We asked our questions to
1:30
slightly older kids. And. Went
1:32
with whatever they said. We.
1:34
hung out at malls, watch wherever
1:36
was on television, and only play
1:38
video games if we had enough
1:40
quarters. Kids. These
1:42
days, her anti war, anti
1:45
fascist, and anti corporate greed.
1:47
He also proved gender equality.
1:50
In my Day and in your
1:52
Parents and Grandparents day. Youth.
1:55
Was also anti war, anti
1:57
corporate greed and percival right.
2:00
The great grandparents are called
2:02
the greatest generation. And. They
2:04
invented Anti Fascism Fight Against
2:06
It. And. One. They.
2:08
Would be proud of you. Kids. These
2:11
days don't want to work dead end
2:13
jobs for low pay. It's neither did
2:15
your parents or grandparents and they're dead
2:17
and low paying jobs. Had. More
2:20
purchase power than yours. Kids
2:22
today believe in a better future
2:24
than the world as they found
2:26
it. And that is something
2:28
that has guided every generation. And
2:31
why kids of every generation
2:33
love this weekend Science. And
2:36
the up next. And
3:14
a good sense to you tear
3:16
just in and as a line
3:19
out there. Welcome to another episode
3:21
of this week in Science. We're
3:24
back again to talk about all
3:26
the science news that we that
3:28
would be fun to discuss. Oh
3:30
yeah with that a ton of
3:32
stuff. Oh my kids these days.
3:37
And you will make it a little
3:39
aside and considering the kids in the
3:41
world just wanna say hail You Science
3:43
Mom's It's all on his mother's day
3:45
and there are you science noms do
3:47
in the science and the morning. On
3:50
a say are amazing! You are an.
3:54
Easy like to do and if you feel like.
3:56
It yet. You can even have kids
3:58
these days. That mom's these
4:01
days. Now. But.
4:04
Science also helps a lot as well, but
4:06
I'd love to hear from the science bombs
4:08
out there. Send us a note about. Your.
4:11
Experience as a super science mom.
4:14
And I'd love to share your amazing this with
4:16
the Twist community. If you would
4:18
share it with us that would be
4:20
great. Everyone out there though thank you
4:23
for joining us or another episode. Me
4:25
does only have a great show ahead.
4:28
I'm surface. Because
4:30
I've thought a lot about it. I'll
4:33
I mean, I've brains. Lots of brain
4:35
stories that I have new. So many
4:37
stories about exciting blue balls. Parrot.
4:42
Step. Dad's bad business. A
4:44
new look at light and
4:46
lot since thought about things
4:49
and brains. But. You
4:51
have rest just an. Object
4:54
The. Bird. Flu. Their.
4:57
Carefully know just how. It
5:00
leprosy. A
5:05
Oh and know what you should
5:07
be eating right now fiverr event
5:09
dementia later. Well,
5:12
since years, we've got all
5:14
these wonderful diseases tonight I
5:17
think. Maybe you sit. Be.
5:19
Eating whatever that is, so I can't wait for
5:21
you to tell us. Okay,
5:25
But before we jump into the show a little,
5:27
love all of you. To. Be
5:29
reminded that subscribing to Twist is
5:31
a great way to support what
5:33
we're doing. Wherever you find this
5:35
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5:42
Time when it's I them. In
5:44
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5:47
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5:49
Mourning and you can subscribe to
5:52
us as a podcast. Oh
5:54
places that really good podcast their
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found look for us and. Why?
6:00
Can't find out more injured or a website or
6:02
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6:04
for this weekend Science. In
6:07
the browsers in the search engines
6:09
or visit twist.org were. Or. Show notes
6:11
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6:13
a banana that works ask a
6:15
slightly older. spitting. Or.
6:19
Ask. Somebody who is wearing a shirt
6:22
that says twist on it if you
6:24
meet them. If. They
6:26
have a twist shirt. Ask them you
6:29
know the podcast? Help me. Help
6:31
me some at the subscribe. About
6:34
They already know the podcast they want
6:36
to listen to and may remember it
6:38
really really. Be there. Are there for.
6:42
Me or their. Time. And refined and
6:44
have refined. This is. Science I know you
6:46
supposed to critique people really does look
6:48
a a good it's let's move on
6:50
to the science and the questions. Yeah.
6:53
Yeah. Okay. Glue balls.
6:58
Well. Sooner. Glue but
7:00
a groove all. Swear they important what
7:02
is the big deal? This is like
7:04
the big things as last. Week
7:06
in here. He in yeah
7:08
that he would he ever
7:10
actually seen. The. New
7:13
Bar is a lumpy,
7:15
clumpy bunch of blue
7:17
arms. Yeah. Absolutely
7:19
that's exactly what of them have
7:21
that. I
7:26
have an era of how did you
7:28
know just a to show a mirror
7:30
And I'm Yvette. Or
7:34
it so. This is
7:36
an unusual and
7:39
previously unconfirmed standard
7:41
model predicts in.
7:44
Word. Suggested there's a state where
7:46
gluons which will about. Exist.
7:51
Smudged together and so
7:54
researchers has been trying
7:56
to smash things together
7:59
for. Very long time to
8:01
break. Adams. Apart. To.
8:03
Smaller pieces to see whether the smaller
8:05
pieces do when they're broken apart. I
8:08
mean, normally like when a car
8:10
crashes into another car. They're
8:13
just smaller pieces that the pieces of
8:15
the car don't meld together. Ah, But.
8:18
That's not how matter
8:20
work, since so protons,
8:22
neutrons, electrons, they're held
8:24
together by these blue
8:26
lines. And so there's.
8:29
This idea that that lots of
8:31
ideas about how. Is.
8:33
Binding takes place, but first you
8:36
have to figure out whether or
8:38
not the gluons are behind Act
8:40
Together And so there's this new
8:42
paper that says a cool review
8:44
letters this last week and and
8:47
so this may be the light
8:49
blue ball as they discovered. As
8:52
predicted by the standard model,
8:57
And this is an exotic
8:59
particles and not exotic like
9:01
coming. Like as
9:03
are known. Pythons.
9:05
That shouldn't be in Florida.
9:07
Kind of the exotic, but
9:09
ah, exotic in that it's
9:11
rarely seen. It. Predicted.
9:15
That they didn't know that are
9:17
not legally be able to find
9:19
it and this gives more information
9:21
about how are universe is held
9:23
together. So. That's really. The
9:26
big deal here is that once
9:28
you start figuring out. How.
9:30
The gluons are sticking together. And
9:33
how this particular piece of
9:35
the standard. Model. This
9:37
new discovery the energy
9:39
that was released. In their
9:41
discovery. Can. We say discovery
9:43
because it's it's. always been there, but this is the first
9:45
time. That. Researchers.
9:47
Have been able to put together all
9:50
the energy signals in the right order
9:52
to be able to. Say
9:55
that they're seeing. This. Particular
9:57
thing and. Any.
10:01
A lot of quirks and
10:03
there's glue on his and
10:05
hers. Combinations of all these
10:07
things. and in. River runs
10:09
his forget who despise the
10:11
whole. Thing's been
10:14
further apart and having listened
10:16
attraction to the more you
10:18
pool loons apart they're stronger
10:20
every attack their can like
10:22
a rubber band as you
10:24
boom you might say it.
10:27
Is creating more attention to go back? Yes,
10:31
Sell it in an email. He had
10:33
some sort of venom in the marriage
10:36
and. Analogy. Second my
10:38
hands on about fight selling right
10:40
handed a gravity. Magnetism. All
10:42
these things get weaker. As
10:45
you pull things a great authentic. These.
10:48
Things. They get
10:51
stronger. Cell line of attack
10:53
is a failing lot of
10:55
time. To jealous as
10:57
so. Anyway, they were
11:00
able to. Do
11:02
some work at. In
11:05
Beijing, their Electron Positron collider.
11:07
that's best three, the Beijing
11:10
Spectrometer or three he's I've
11:12
been working since two thousand
11:15
and eight sleep that a
11:17
whole bunch of that particle.
11:21
Impact Advance and to have been
11:23
able to. See
11:25
the. Energy residences things
11:28
that it sees of particles
11:30
that comes from it. And
11:32
now they has said that
11:34
they have discovered these blue
11:36
balls. Government.
11:40
This. Is.
11:43
The third that with the weakest
11:45
energy other the smallest one that
11:47
they've ever seen so far. With
11:49
the only one readers. We're
11:52
and so. Those are the biggest.
11:54
The Big: as innocent as lights so that
11:57
I think it's the latest. it's predicted by
11:59
the sea. Hundred now. So the
12:01
question they plan at the scene. The.
12:03
The heavier ones are the more
12:06
energetic once anyway, The.
12:08
Researchers think they have great
12:10
results. Of. According
12:12
to other physicists and at.
12:15
That this. Is important.
12:18
For. Really testing parts of
12:20
the standard model which to
12:22
date. We. Really
12:24
haven't disproved in any.
12:27
Major way Celts. I'm. There.
12:30
Are lots more questions. To answer.
12:32
And so. Now I'm more
12:34
work. On Blue Balls
12:36
needs to happen and I do
12:39
hope that in as a coming
12:41
months of the able to get
12:43
eaten Siegel on the show a
12:46
who is Amazing podcast or science
12:48
writer. We've had him on
12:50
the show previously to talk about black
12:52
holes in all sorts of astrophysics stuff
12:54
and ah of we. Hopefully he'll come
12:56
back. Can be able to tell us
12:59
much more about this particular. Discovery.
13:02
I'm in particle physics. I think that
13:04
he would really be able to do
13:06
that because it's written an article for
13:08
the Big Think exactly on this subject.
13:11
That that I says, he'll have more
13:13
information than I do. So
13:16
many questions. Yes, blue.
13:19
Balls Blue balls, glue on.
13:21
It's good for us understanding
13:23
things. Talk to anyone about.
13:25
Ah taxes powers may have a
13:28
bird flu problem. No.
13:31
I'm actually potentially more dangerous.
13:33
Reluctance by cattle ranchers.
13:35
Problem. Know reluctance
13:38
to cooperate with
13:40
confronting him throwing.
13:43
Admitting that there's an outbreak. So this.
13:45
Is kind of started a while back with
13:47
reports of sick cows. Some.
13:50
Increased. Illnesses.
13:52
In workers. And.
13:54
And an alarming number of
13:57
dead birds and barn cats.
14:00
The cats also that's a big one as
14:02
well. I'm yeah we haven't talked about this
14:04
yet on the show and. Yeah,
14:07
I'm sorry, but we haven't discussed it yet.
14:09
but I'm glad you're bringing this whole thing
14:11
up. So keep going over.
14:13
I didn't ever wrote a loser.
14:16
it's been married. In
14:18
Texas who has oh forty
14:20
thousand and cattle under her
14:22
that are monitoring care. Me:
14:26
this is he goes. And
14:28
here's all these reports: They're
14:30
sick workers, dead cats, dead
14:32
birds she goes and tests
14:35
rather typical illnesses that they
14:37
have on their testing. Whitney
14:39
and. The. Results
14:42
came back. Negative. Never.
14:46
Not upright. Okay. Nothing you. Can.
14:49
Just click cheated the test singer who did the
14:51
testing. What happened. Veterinarian,
14:55
She died all the tests and see.
14:57
Them as they all come back
14:59
mayor. And so she
15:02
goes. Oh okay, so
15:04
it's something that's not in that someone
15:06
you're testing. It. Doesn't tell
15:08
you everything that's possible. Under
15:12
that a in the world they didn't
15:14
come back with Every type of diagnosis
15:16
testing is usually going to be for.
15:19
For. Standard diseases do expectancy because
15:21
every test. Is very specific.
15:23
Looking for a specific. Thing.
15:26
I. says. He takes
15:28
earth a sample set and
15:30
he sends it to their
15:32
Veterinary Diagnostic Laboratory at Iowa
15:34
State University. The. Samples
15:36
are tested, their. Air
15:39
with a a more rigorous, a
15:41
broader. Spectrum. Of of
15:43
things that it's wikia. Looking.
15:45
For and they come back positive.
15:48
Or. A bird flu virus
15:50
never before seen in cattle. It.
15:54
Was the fact that roof. But
15:56
this isn't This is a bird
15:58
flu virus that epidemiologists as. In
16:00
and people who are
16:03
concerned about. Add
16:05
new flu. Viruses.
16:08
They've been watching. They've been watching it for a
16:10
while. But
16:12
it was the first proof that bird
16:14
flu this the hype A H Five
16:16
N One. Could. Infect
16:19
Couch. Hadn't. Seen it before. And
16:24
in a in A when. When. You
16:27
look at how this plays out. Veterinarian,
16:29
My dream: Forty thousand saddle.
16:31
All of the tests come
16:34
back Negative. Under the
16:36
the normal spectrum of what
16:38
a veterinarian contest for. So.
16:42
the a happy don't see it. Yet.
16:45
Way what happened just any flu
16:47
flu and see should be. Bird.
16:49
Flu generally. Should
16:53
be part. Of the testing, right? I
16:55
haven't. No no no because his little
16:57
cattle we've ever gotten a before so it's
16:59
when you have where we have that usually
17:01
when you have these disease get he said
17:04
testing kit. They're looking
17:06
for a very specific perhaps antigen
17:08
or something in there and so
17:10
their their pre made. They're not
17:12
just going there. They're. Not
17:14
a I base that are going to look for every type
17:17
of. Thing and matched
17:19
up to databases. It's pretty simple.
17:22
So when you have a more like
17:24
if you go to a public health.
17:28
Lab. There's something at where people are getting
17:30
samples from all over and sending him and
17:32
doctors the same human to see what it
17:34
is. There this single
17:37
sample will go through a
17:39
you know a a six
17:41
hundred. Potential. Test
17:43
to see if it matches up to
17:45
different things. Here. In
17:47
the field testing much more limited
17:49
is looking for the typical things
17:51
that you know maybe hook and
17:54
mouth disease or whatever the you
17:56
know cattle earth Shadow normally him
17:58
down with wherever they can. Well
18:00
that's what is looking for. So.
18:04
Sniff kind of how this unfolds. It's
18:06
not that Mrs. Early, this hasn't been
18:08
going on before. It's that
18:11
the field tests and I have not
18:13
been down and if bird flu because
18:15
we didn't know they added. That
18:18
we know this. That swine
18:20
pigs. Are heading. Again,
18:22
third slayer that's a very know com. They
18:24
know that it is something that has. A
18:27
Herrings it's yeah there's a there's
18:29
huge reservoir for the are further
18:31
bird flu throughout. Mostly
18:34
Southeast Asia and and
18:36
America as is also
18:38
to. Send us. I
18:41
was the university kind of sounds the
18:43
alarm. hey, and now they've Now that
18:45
is. The testing is more dow then.
18:48
There's thirty six herds in the U
18:50
S known be infected. This is, actually,
18:52
it may be more than this now.
18:54
Is. Is this series of bye
18:56
week or so. At.
18:59
The time. Almost.
19:02
Every farm that had sick animals
19:04
that was being investigated. They're.
19:08
Also sick people. This
19:11
always sick people somewhere for this was
19:13
like. You know
19:15
that that? They're reliable, sturdy farmhand
19:17
who's never called him a day
19:20
sick in his life. Ah,
19:22
didn't show up. There
19:24
was a lot of like sort of saints
19:26
illness with this as so far only two
19:29
people in the Us were confirmed to be
19:31
infected with this H Five N One. At
19:33
well this was Am Rica but one of
19:35
on was a Texas dairy worker. And
19:38
it was linked to the catwalk outbreak
19:40
according to the Cdc. The
19:43
Doctor Gregory Grain Infectious Disease at
19:45
the Me our is the University
19:48
Plus medical branch in Galveston. He's
19:50
been taking samples from livestock and
19:52
people are in Texas farms. With.
19:55
Confirmed cows factions. Bit.
19:59
Weird. The route he says is
20:01
the seen a mission to be
20:03
to linked in time and space
20:05
so when sensei is biologically possible
20:08
that the infection is going from
20:10
cow the person. But.
20:12
The problem is. This
20:15
is a the disease. The degree diseases
20:17
like that it's a scarlet letter. This
20:19
is actually air sec. Hey Russo Colorado
20:21
Veterinarian. it has the stigma associated with
20:23
right now. Basically what it means is
20:26
you can't sell your cows out of
20:28
state. He. They
20:31
have to be. if you so has as they they have
20:33
to be tested. Ah,
20:35
for all other test, it's completely up
20:38
to the cattle ranches whether or not
20:40
they want to test the cattle. And
20:44
so. They're. Not.
20:47
Been. Testing. Is.
20:49
It could get. In a
20:51
way out. A test. Then you
20:54
know ever there, there's a
20:56
problem here. Have
20:59
our leader and haven't had as a new
21:02
wow health officials under their land. And
21:05
current every so we do not know
21:07
what we do not measure. Unfortunately
21:10
though, horses left the barn and
21:12
took a lot faster than well
21:14
with mobilise. This. Is
21:16
it? says. Country country doctor
21:18
talk. So
21:22
all opposite conduct tests must
21:25
report positive results to the
21:27
Agriculture Department. So many farmers
21:29
have simply decided against testing.
21:32
Hoping. To ah outlast
21:34
at last the outbreak.
21:37
And is also some reluctance.
21:39
It says reluctance of workers
21:41
and farmers. The. I
21:44
think the workers. It's sort of like. It's.
21:47
Like working. In.
21:49
An industry where if you speak out
21:51
you mean our hegemony. I feel like
21:53
it might be. Al
21:55
where that's coming from. So.
21:59
Now. We know from recent history.
22:02
How infections in
22:04
fact, Like
22:07
very. Early pandemic or. Dangerous
22:11
infections Can Irises can
22:13
impact society. The.
22:16
Economy, businesses, all sorts
22:18
effects self and. This.
22:20
Is. An
22:22
people have been talking about this and
22:25
it's It's interesting to see what's happening
22:27
for milk. So far they
22:29
ah result came out. I think it
22:31
was last week that one in five.
22:36
Gallons of milk was infected
22:38
with this avian flu virus.
22:40
However, because of pasteurization year
22:42
in the United States, it's
22:44
not an issue because the
22:46
pasteurization processed as destroy the
22:49
virus and that's and that's
22:51
fine and. Maybe mount a time
22:53
to get that unpasteurized milk? If
22:57
you're into that same am. Still
22:59
get that. He can I
23:02
meet the I? In other countries
23:04
have on. As for as long
23:06
as they're unpasteurized milk. but. The
23:09
U S not so much and. But
23:12
this the issue year though is.
23:15
Can. We get people to
23:17
communicate in away with the
23:19
reinsurers, with the people who
23:21
are working to underscore the
23:23
importance of testing and controlling
23:26
the spread of. This.
23:28
Virus since it is affecting people
23:31
that we have not yet seen
23:33
person to person spread. Leave.
23:36
That county human. Potentially.
23:38
And put it seems like or could have been caught a
23:40
cat to human. Has anyone done
23:42
that? Because there are six cats as
23:44
well at the ranch Is. So how
23:46
is the virus jumping? What mutations are
23:48
taking place? That. Allow
23:51
it to jump and. And.
23:55
The hell. They. Don't know.
23:57
remember. When. You,
23:59
we all were. For coveted flu
24:01
perez dropped wash your hands
24:03
were mask. If
24:06
you're. Concerned severity of mine is
24:08
that is is also a Cows
24:10
are so very socially and I'm
24:13
very social yes. And. If
24:16
he ever look out into a cow
24:19
pasture and eventually cows didn't hang out
24:21
with together pretty close. An
24:23
area know the and as an up
24:25
and say hello so it seems like
24:28
they're a pretty good candidate for to
24:30
spread quickly. cats. As.
24:33
I realized they were catches, especially farm
24:36
catches in our friends with anybody not
24:38
even at a cast. But
24:41
they will get they will encounter
24:43
birds. Yeah, quite
24:45
a bit. Yeah said another
24:48
question. Is it going to go back
24:50
and forth and. Have.
24:53
Been funny if any tasting
24:55
eleven bird cat chow. Lab.
24:59
At. The however it lacks any
25:01
and as. I imagine
25:03
there's an air desiccation. From.
25:06
The birds, the bird. the
25:08
grass gets eaten by someone.
25:10
or perhaps you know. I
25:13
don't know who's looking at the mall
25:15
novels and the rats and mice that
25:17
are on these plans as well. Is.
25:21
That there's a lot that needs to
25:23
be taken into account silent, genetically and.
25:27
That has not yet been reported as far
25:29
as I am aware. For
25:33
hours I would hate to see. Been.
25:36
A major outbreak on account
25:39
of the. Nobody
25:41
was allowed to check the cows. Like
25:45
it's ridiculous. It's ridiculous. especially post
25:47
over to be like. Well.
25:50
We don't want to mess with their
25:52
indices like the Make Farmers. Remain
25:54
farmer number in year of were. Finance
25:57
I lost. They lost their makes.
26:00
And then a last out of their
26:02
makes an insect Wow their marriage is
26:04
in a little more promised him. Earlier.
26:09
Maybe. And. Low enough
26:11
and that's where I think
26:13
this is where the Air
26:16
as science, communication, public health
26:18
communication were understanding the community.
26:21
Of Ranchers and the people who depend
26:23
on the ranching industry. And
26:25
figuring out how to how to
26:27
speak with them. In. A
26:30
way that makes sense seeger out. a
26:32
way that works with how they work.
26:35
To make get upset to like it
26:38
doesn't It's not all or none right
26:40
there. That can be people working together
26:42
to help solve a problem. That
26:46
I'm I'm losing. This even though
26:48
is that the and very often anymore
26:50
or. The new movies when when
26:53
you're talking about ah, any
26:55
kind of livestock industry. Public
26:58
health is. Here.
27:02
The farm income is here. I'm
27:05
sorry. It's just how it always
27:07
going to be is this shouldn't
27:09
be this. I. Will.
27:12
Give you acknowledge and food in a
27:14
factory. The. After you can come
27:16
in at any point in look at inspect
27:18
which you done as I possibly the same
27:21
way root for livestock and I don't understand
27:23
why it's not. Oh it is,
27:25
that is it. And every. Year in the process
27:27
of making the food even if it's cows
27:29
in the field. Yeah. I.
27:31
Mean our at Dairy Cows minnows
27:34
you like whenever hours and why
27:36
there's to be there the Us
27:38
government him can't say like hey
27:41
we're in as soon as I'm.
27:44
Veterinarian, And spectres into they
27:46
do. Think I'd sell, sell
27:48
at funding and at the
27:51
ability to actually enforce the
27:53
regulations. I mean, it's there.
27:55
There's a lot that is.
27:57
In place that any. The.
28:00
Our regulations and there is. A
28:02
lot of stuff happening. that's. It
28:06
is difficult, but yes we
28:08
should all be concerned about.
28:12
The cows. The. Farmers, the
28:14
ranchers, the people, the birds,
28:17
the cats. and I mean
28:19
fingers crossed is that this
28:21
one doesn't mutate and turn
28:23
into a. A
28:26
virus that. Get.
28:29
Spread among people that would not
28:32
be great. Swimmer
28:37
for word is. A
28:40
wave recover from. The flew
28:43
into and. Get
28:45
them baby birds! Were
28:49
happen. Well normally
28:52
it's when I heard
28:54
ah, scenes or. Parrot.
28:58
Parrot type species of birds
29:00
I've. Read
29:03
meet. The at the
29:05
stepdad or the mail. I mean,
29:07
sometimes even a step mom. Oh,
29:10
come into the situation, there is
29:12
a lot of infanticide in. The
29:15
parrot. Species of
29:17
birds. Lots their social species
29:19
and you know it sank
29:22
or right? Well. You're
29:24
coming in. And their these
29:26
babies that they're not yours. You.
29:29
Don't want to take care of him and you're
29:31
like I'm and I have my own babies. So.
29:34
Better for you, evolutionarily
29:37
speaking. To
29:39
kill the the step children and
29:41
then have your own babies. And
29:44
this has been like the ongoing
29:46
hypothesis and like what people are
29:48
basically seen for years and union
29:51
years and years I have personally
29:53
seen buddy regards with you. There.
30:00
In Budgies the and but as a
30:02
common word for them and blinking and
30:04
in common with the budget vigorous a
30:06
way. As. Parakeets,
30:09
And weight with blood. Dripping.
30:12
Down there southern be good, say
30:14
speakers. It was mating season and.
30:18
Oh gosh, Yes. So
30:20
it's it's. He. Does gruesome. It's
30:23
hers. Nature's the thing and
30:25
so researchers have been like okay these
30:27
parents is it looks like a. Little
30:30
lions. Male lions come in
30:32
and kill the cubs or you know it's
30:34
get rid of the other. They lose two
30:36
pounds it so many species We see it
30:39
over and over and over again. But this
30:41
new study in the Proceedings of the National
30:43
Academy of Sciences. He's
30:45
researchers out of U C.
30:47
Berkeley has been looking at
30:50
green romped. Parrot.
30:52
Lets. Them from South
30:54
America. Their. Small so that's
30:56
where their parent let's instead of
30:58
just parents. I guess the the
31:00
have Thirty years. Of
31:02
observations on these birds
31:05
and. They.
31:07
Looked at. What?
31:09
Happens The families. When.
31:12
A father died disappeared and a
31:14
step dad came in. What happened?
31:18
Did. Infanticide happen all
31:20
the time. Was. It
31:23
always on. And so the
31:25
study, like since Nineteen Eighty
31:27
Eight is researchers at it
31:29
in Venezuela. on a cattle
31:32
ranch in glory goal Venezuela
31:34
and. They've been watching the
31:36
birds and checking out what they're doing
31:38
and so they made some artificial nesting
31:40
sites at of Pvc pipes and put
31:43
them through the ranch and they banded
31:45
a bunch of them so they can
31:47
see who was doing what where and.
31:50
And. They
31:53
found. In. Some cases
31:56
dead babies, In.
31:58
Some of these. Some
32:00
of these at. And
32:03
some of these. Artificial. Nesting
32:05
sites but they didn't know exactly what
32:07
was going on and these artificial nesting
32:10
sites are very similar to like these
32:12
other kind of tree trunks and other
32:14
things. Less. The.
32:16
Babies might be raised
32:19
by their their parents
32:21
and. So one of
32:23
the graduate students of this researcher was
32:25
like, okay, why did they die. Who.
32:28
Has it's. Stepped
32:30
out or is it something
32:32
else and so on. And
32:36
we were very good. Oh yeah, they just
32:38
in time for mother Day, it's gone. Yeah
32:40
hey dad's now I'm so
32:43
anyway the the researchers were
32:45
like okay yeah we found
32:48
as as step dad or
32:50
a male who didn't belong
32:52
there exiting the nest. With.
32:56
P. Quote. From
32:58
the researchers and. This.
33:02
Research. Or by singer. So.
33:04
The been looking at it if
33:06
twenty seven hundred nests. Thirty years
33:08
checked. It all out and. Let
33:12
the sand is dead. Definitely
33:15
think. It's
33:17
not always death to the babies.
33:20
That sometimes. Stepdad.
33:24
Come in. And they take care
33:26
of the young. Those.
33:29
Step dad's are usually a little
33:32
bit younger. Than. The
33:34
average. Parrot with dad. And
33:37
then. They. Seemed
33:40
actually has no
33:42
longer. Term. More
33:45
reproductive relationships. So
33:48
they end up having at least as
33:50
many. Offspring if not
33:52
more than the offering. Than
33:55
the males who would. Kill
33:59
to bid. So. Which.
34:02
They are they older older
34:04
male houses as in have
34:06
less. Time. Possibly.
34:10
Yeah so the question is
34:13
like what's going on with
34:15
regards to resource competition and
34:17
this is a species of
34:19
bird where there are not
34:21
as many females as are
34:23
males have lots of lots
34:25
of males is lot of
34:27
competition over nesting sites so
34:29
leg there's a lot of
34:32
studying among the males that
34:34
babies are getting wounded that
34:36
this is this is is
34:38
not as nice friendly. Tiny
34:40
green rounds paint let society know
34:43
is is. Competition.
34:46
And. They found
34:48
that the attacks on the children occurred more
34:50
often when the parrot lit population was high
34:52
and there was higher competition. In.
34:55
The research six coauthor Carol Berg
34:57
at the School of Inner Game
34:59
Biological and Chemical Sciences at the
35:01
University of Texas Rio Grande Valley
35:04
Brownsville Am. Quote
35:06
is great. At low population levels it's i
35:08
love and peace mate. But when you get
35:10
to to when you get a high population
35:12
densities it's a bloodbath. So.
35:18
You if. The males they want to
35:20
breed. They're driven to breed. And.
35:23
Sometimes. It
35:25
works to killed bet is that
35:27
aren't yours but ah the sickness
35:30
strategy is not. Always.
35:32
The best strategies And so
35:34
this. Suggests. That
35:37
as males who adopt unrelated
35:39
ah spring. Nest
35:42
with widowed females. They start
35:44
breeding earlier. And the
35:46
head researcher by singer sets
35:48
stepfathers scored Love a New
35:51
Meat and Real Estate and
35:53
Nests. And
35:56
us ah the C Berkeley
35:58
As press. He
36:00
didn't. Who wrote this bad? Press.
36:02
Releases fantastic but specific
36:04
sophisticated I think it
36:06
said. I.
36:09
Really do appreciate this
36:11
study because it does
36:13
give new i'm. Here.
36:16
New ideas for why these
36:18
kinds is strategies exist and
36:21
that they don't always exist
36:23
within a species, and that
36:25
there are evolutionary. trade
36:28
off. For. Tactics
36:30
like infanticide in the
36:32
success of the. Incident
36:35
reproductions be down. There
36:40
should be a yeah I've yeah
36:43
it should be at can't figure
36:45
one. but the success. As. You
36:48
would think sell. Beer
36:50
Anyway, Nasty
36:54
little green rubbed. Pair it.
36:56
let's. Tell
36:58
me something else, Jansen. Oh
37:01
evident some archaeological sites in
37:03
the Middle Road or English
37:06
City of Winchester. Meant.
37:08
To be. As
37:10
be confused with the medieval. Spanish
37:14
city of Winchester, the. Medieval.
37:18
Won't. Sell my billie say it's
37:20
a of winchester english city of
37:22
would just. Shows
37:24
that strains that caused leprosy
37:26
and people during i think
37:28
this century's or moto some
37:30
through the along outbreak of
37:32
leprosy. Came. From.
37:36
Not evil spirits. Not
37:38
unclean thoughts. Not human. Rights.
37:42
Fleas are which is curses.
37:44
clever. Red squirrels. And
37:46
apple. From Zoc remains. One
37:50
sack the only that telling them as red
37:52
squirrel. What? Genetic.
37:55
Analysis was able to identify red
37:57
squirrels the first ancient and more
37:59
host of leprosy. according to researchers,
38:02
The Mercy of Basil in Switzerland
38:04
leprosy is one of the. Oldest.
38:07
Recorded diseases, noom history and
38:09
is still prevalent to this
38:12
day and parts of Asia,
38:14
Africa, South America, and of
38:16
course Florida. People.
38:19
Places. Where. Fidget what might be as
38:22
the chorus Florida. Keys.
38:25
Of of the Florida eyes as
38:27
like has a yearly serves Murphy
38:29
and for it. Look for that
38:31
blessedly Florida. Just google it and
38:33
you'll see every year they have
38:36
a surge of leprosy. Their. I
38:39
did not know that. Also anymore
38:41
but interstate. Yeah, that
38:43
so the common denominator. Maybe
38:45
places where people eat squirrel?
38:50
As. A kit
38:53
type. So. A place.
38:56
Like a if you don't know. Small
38:59
game is still. There is still
39:02
a thing in any us at.
39:04
Parts. Of the Us. Up
39:06
were of in Tennessee a noun
39:09
in the South and especially popular
39:11
in. Florida. So
39:15
so apparently big in Vietnam. Going.
39:17
To just google researching
39:19
without betting sources. Am.
39:24
January. Until now
39:26
I've ever been pretty unclear how. Leprosy.
39:30
May have. Spread. To
39:33
people from animals in the past. This
39:36
study. Cannavaro looked at twenty
39:38
five human and twelve scroll
39:40
samples. At
39:43
to archaeological sites and Winchester.
39:45
So Winchester. Was
39:47
immediately Billie Days well
39:49
known for it's. Leprosarium.
39:54
To: They're basically air. Place
39:57
where they didn't practice on his head.
39:59
leprosy. It gets our people. are
40:01
we the place where people were
40:03
leprosy to hang out or away
40:05
from everybody else? Winters
40:08
are also had. Another.
40:13
Thing it was known for which was
40:15
the for trade. In the
40:17
Middle Ages. Squirrel. For
40:19
was fashionable. A
40:21
reasonable choice to trim inline
40:24
garments. Many people. May.
40:26
Have even been kept. Squirrels.
40:28
As pets. I
40:32
would not so and I can see they
40:34
did a fluffy tales as being something that
40:36
people who like that kind of thing sir.
40:39
He attacked and to. Help
40:41
you will have pets because they were
40:43
trapping the they would happen in the
40:46
wild and they would trap a when
40:48
you're very young one and so it's
40:50
You know this one's not big enough
40:52
the day eat or turn into a
40:54
trim for a hat. And
40:56
so you might the try to raise
40:58
it in a cage. I'm in l
41:00
with lil it's like hey this one's
41:02
a who knows it's name in as
41:04
always happy to see me in in
41:06
it. Then you. Can put it outside.
41:08
adding to I might attract other squirrels.
41:11
And it gives them. It gives
41:13
everybody leprosy. So oranges and easy
41:16
to sequence in reconstructed for genomes
41:18
representing medieval strains of a leprosy,
41:21
including one from red squirrel. And.
41:23
They also looked at some ancient
41:25
d middle age stare. People
41:28
strains that they had. And
41:31
yeah, a spam at the Medieval
41:33
Scroll strain is more closely related
41:36
to human strains. From. Medieval
41:38
Winchester to than than to modern
41:40
squirrel stream from England. Indicating
41:43
that the infection was circulating between
41:45
people and animals in the middle
41:47
ages and away that of course
41:49
had not been detected. Before.
41:53
It was always thought to be
41:55
evil spirits and clean thoughts. and
41:58
which is I
42:01
think we've been away from the unclean thoughts and
42:04
witches for a while but it's
42:06
interesting. Actually when
42:08
you say we, if
42:12
you're talking about the Hmong people
42:14
in Vietnam, this is still
42:17
a cause of leprosy. So
42:23
we need to all
42:26
get illuminated
42:30
by the light of science all
42:33
at once for us to say we. Don't
42:36
keep pet squirrels. Avoid
42:40
the bacterium, the
42:42
red squirrel harbors,
42:45
right? But
42:48
it's not the same anymore as it used to be but
42:50
it's still an out, there's still an outbreak. It's
42:52
just a different strain because it's now been circulating
42:54
and evolving for all this time. But
42:56
the point is that. It's much better at its job.
42:59
When, you know, where does leprosy come from?
43:02
How does people, why do people in Florida
43:04
keep having these leprosy outbreaks? Now unclean
43:07
thoughts, sure. Witches,
43:10
of course. Little
43:13
spirits, plenty in Florida.
43:16
Mmm, also squirrel meat.
43:20
Okay, yeah, small game
43:22
hunters. So as
43:24
we look at things like COVID-19, Breakout
43:27
breaks this bird flu that's now cow's
43:29
cat's bird. Who knows, like you
43:32
were pointing out, who knows what else. Yeah,
43:34
I mean there's this crude, so,
43:36
the, quote unquote, mad cow, they're
43:39
deer, hunters are
43:41
being exposed to the prion. Yeah,
43:47
the deer also had the
43:49
contagious protein folding disease. A
43:51
high reservoir of COVID as
43:53
well, and deer. And so
43:55
when we look at this thing and say, oh, it's a bird flu,
43:58
it's only in birds, or it's a, this is a bird flu. disease
44:00
or that disease or whatever it is, you got to
44:02
realize like even if it
44:04
hasn't hit humans on a large
44:06
scale, it may be running
44:09
through the animals and requires a
44:11
form of really close contact repeatedly
44:13
maybe for it to jump into
44:15
a human host. And
44:19
we've been doing it for a very long
44:21
time and so like I said these bacteria,
44:23
they're like, hey, I like you, I know what
44:25
to do. Yeah,
44:29
food, it's fantastic. But
44:33
yeah, at the same time, like
44:35
you were getting at, I
44:37
said we, right? Who's we? That's
44:40
my, you and me. Right, us,
44:43
right. That's my educated
44:45
white lady perspective, you know,
44:49
from a Western perspective. And
44:52
so I'm putting my own biases on
44:54
it that were unconscious when I said
44:56
we and that's good. Absolutely be, which
45:00
is evil spirits and unclean thoughts. But
45:03
in different areas, people are thinking different
45:08
things. So I think we're in
45:10
a science show. I say we, but if I, yeah, anyway,
45:15
this gets into my next story. This gets into
45:17
my next story. It's the same way. Oh, I
45:19
didn't know we were transitioning. I'm sorry. We're transitioning
45:21
because. I'm just pushing back.
45:23
Like, what are you talking about? No, there's
45:25
the right answer. Well, they can't be a
45:27
wrong answer. Science is proven there's a right
45:29
answer. Come on now. Some
45:33
researchers from North Carolina
45:35
State University's pool college
45:38
of management did
45:40
some work in Kenya in an
45:43
area. And this is a quote from Aaron
45:45
Powell, the corresponding author of the study, who
45:48
actually is an associate professor of
45:50
entrepreneurship at this college of management.
45:53
She said this area is where
45:56
society is collectivist. Everyone is accustomed
45:58
to sharing what they have. and
46:00
supporting each other to the best of
46:02
their ability, but it's also impoverished. And
46:05
so they designed an entrepreneurship program
46:08
to help people in
46:10
the community start businesses
46:13
that would help them financially.
46:17
They wanted to understand the
46:19
religious backgrounds, faith backgrounds, how
46:21
that informed entrepreneurship. So
46:26
they got people in rural,
46:29
impoverished Kenya to start small businesses and they
46:31
helped them do that and they gave them
46:33
a model to follow to start doing that.
46:36
But it wasn't great.
46:39
No, look, you
46:42
have a collective society where people are
46:44
sharing and helping each other in every
46:46
way they can. You're like, no, no,
46:48
here's a way to be selfish and
46:51
hey, capitalized for the rest of your
46:53
society. Here's a way to do things
46:56
completely against the grain. It's like being
46:58
collectivist in a capitalist society that also
47:00
probably doesn't work too great. Yeah,
47:03
so it wasn't great for the
47:05
entrepreneurs or other community members. They
47:08
did end up interviews with 25
47:10
participants in the program and
47:13
this was over four and a half years. They also
47:16
visited the villages and observed this
47:18
stuff and the interactions between the
47:20
entrepreneurs, the people in the villages
47:22
and everything. And the
47:26
community wasn't happy. They're like,
47:28
wait a minute, what? We share stuff and now
47:30
all of a sudden you're asking me to pay
47:32
for things for like what?
47:34
And so there was what they
47:36
say, social friction and
47:39
entrepreneurs were threatened with being
47:42
cursed. Yeah, there
47:44
you go. Yeah. But they
47:46
found that there were some individuals
47:48
who continued. They were able to
47:51
rationalize their entrepreneurship because in those
47:53
cases, their religious backgrounds actually played
47:56
a role. And so some of
47:58
them were traditionally religious, we're
48:00
afraid of the curses, we're like, I'm
48:03
out. Others were
48:05
able to kind of make
48:09
it a break between what was business and
48:11
what was their personal life and they were
48:14
able to continue with that because they were like, oh
48:17
no, no, no, this is not me personally,
48:19
it's my business. So the curse is not going to affect
48:21
my business. So like, this is going to be fine, it's
48:23
going to be great. And then
48:25
there was another subset who identified as Christian and
48:28
because they were Christian, they felt
48:30
protected from the curses
48:32
because it was not a traditional
48:34
belief anymore and so the compartmentalization
48:36
was totally different. I
48:40
think this is just a fascinating paper,
48:43
the title to profit or not to
48:45
profit founder. You're charging me for the
48:48
bread. My cousin brought
48:50
you the flower. I
48:53
personally brought all
48:55
of the firewood that you used. I
48:57
dropped that off as I was going around, dropped
48:59
off firewood to everybody else and
49:02
somebody else even collected water
49:04
and brought it over for you to do your
49:06
big and then you put it together. I get
49:08
it. You put time and energy doing that. But
49:11
you didn't collect any wood, you didn't collect the
49:13
flower and you didn't collect the water and now
49:15
you're charging people. This is the problem with being
49:18
the entrepreneur, which
49:24
I thought word in the
49:27
way that it's used in the US
49:29
nowadays is like, hey, are you delusional?
49:32
Do you want to think rich
49:35
while losing money?
49:39
Here's how. You
49:41
too can do my thing. Yeah.
49:44
Yes. Or people who
49:46
are already wealthy from inherited wealth,
49:49
calling themselves entrepreneurs. No,
49:51
you're not an entrepreneur. You just
49:53
had enough money to bring you
49:55
before. They're thought
49:57
leaders. Whatever.
50:00
Anyway, the important take-home for this is, oh my God, the way we
50:02
think about money and business
50:13
and all this stuff. If we're
50:15
just like, we're going to pick up what
50:17
we do and take it to another country
50:19
and just tell them, well, teach them how,
50:21
you know, teacher man had a fish, you
50:23
know, our way. Because
50:26
of course, you know, their way of fishing
50:28
isn't good, you know. So
50:32
the researchers say
50:34
that if you're overseeing programs
50:37
focused on introducing entrepreneurship to
50:39
alleviate poverty, maybe you should
50:41
actually take local cultures
50:44
and context into account.
50:49
Do I have to say this out loud? I
50:53
guess I do. Yeah. Yeah,
50:55
yeah, yeah. Yeah. Because,
50:57
but again, you know, anyway, I want
50:59
to... Yeah,
51:05
there's so much to talk about, but we got to get
51:07
through a few more stories before you have to leave very
51:09
soon. So we're going to... Cut a roll. We're
51:12
going to bucket through some things. I just want to say very
51:15
quickly, a study came out a couple of weeks ago, wanted
51:17
to talk about it, but we didn't have the show last
51:19
week. What they're calling is
51:21
a photo molecular effect discovered by MIT.
51:24
This is something...
51:27
People have had this question forever about evaporation
51:31
of water from the surface
51:33
of things. It's like very
51:35
often the math doesn't work out because
51:37
what you would think of the vaporization based
51:40
on the heat that would cause condensation,
51:42
vaporization, like water leaving a
51:44
body of water
51:47
and going into
51:49
the air, it's never quite worked out. There's
51:52
always more water in the air than
51:54
they had accounted for. And
51:57
so these researchers at MIT, G... just
52:01
figured this thing out, photomolecular
52:04
effect, which basically
52:06
means photons of light are
52:08
bumping into the photons, not
52:10
photons, the molecules of water
52:12
and breaking them apart. But
52:15
there is a, they're bumping
52:17
into each other and the
52:19
energy of smashing
52:22
photons into water molecules
52:25
leads to more vaporization. Anyway.
52:34
Nobody ever, people didn't, this is
52:36
like crazy. And
52:39
the effect is strongest when light hits water at
52:41
an angle of 45 degrees. Also
52:44
with transverse magnetic polarization
52:47
and green light apparently is the best. So
52:50
if you want to start working in desalination
52:52
or in anything that has to do with
52:54
cleaning water and a little of vaporization, but
52:56
these are the things that you need to
52:59
think, you don't understand why
53:01
green light is the thing that works the best. But
53:03
anyway. New
53:06
news. It's still the sun
53:08
that's doing a lot of. But not the
53:10
heat, it's not heat. It's
53:13
actual the light. The
53:15
light interacts with water and
53:18
goes, go in the
53:20
air now, water and it does. And that's what
53:22
happens. So, but there's also like heat
53:25
is also, does it though?
53:28
It does, no, that's a part of it. And
53:30
that's what we've calculated for ages. That's
53:33
the physics that has been calculated
53:35
for ages, but nobody took into
53:37
account the like actual molecular interactions
53:39
with the light, the
53:41
photons. And
53:44
there's also like the existing humidity in the air
53:47
to determine whether or not evaporation
53:49
occurs, even under, like so. There
53:53
are so many things to take
53:56
into consideration. I'm so glad everyone
53:58
is here. Robbie
54:00
things with us. This is the
54:02
second science. If you aren't loving
54:05
the show, make sure you share
54:07
it with a friend and he
54:09
can head over to twist.org to
54:11
access a link to our Zazzle
54:13
store. Also to Our Patriot on
54:15
where you can support the show
54:18
in an ongoing fashion. You can
54:20
decide to. To.
54:22
Support us as a patron from whatever amount
54:24
you're able to give. Ten dollars and more
54:27
per month and you will be thanked by
54:29
name at the end of the show. The
54:31
get a whole bunch of people doing that
54:34
and you know I know. I know people
54:36
have financial difficulties and I see some people
54:38
who have had to turn their. That
54:41
their donations often. Do you know?
54:43
Listening to the show. Tell.
54:46
People About Twists. I just hope you keep
54:48
enjoying it. But you know we really cannot
54:50
do any of this without you. So. For
54:54
all of it. All. It takes for
54:56
being here and thank you for your support. Hey,
54:59
just and you want to tell me a couple of
55:01
stories, or do you want me to time our brains.
55:04
Are them over there are just go
55:06
to a to the as a good
55:08
for you schedule for that if the
55:10
holiday. Your
55:12
and other things are stiff
55:14
for him. It's a holiday
55:16
here. I don't know which
55:18
one because way way more
55:20
holidays. There's. Like a lotta
55:22
lotta holidays and love holidays. And at
55:25
is that the liberation day that I
55:27
thought that was last week. but anyway,
55:30
Ah oh so this this story.
55:32
The. As the meander face And this
55:34
is not a Marxist, it's just this
55:37
link. If we
55:39
can certainly didn't. Like my face. Me:
55:43
And her face up will do so.
55:45
I'm gonna have a minute by minute
55:48
do This whole knows my face. This
55:50
is not demanded this. Year's
55:52
is not. As
55:54
little me, this. How.
55:56
Much Neanderthal do you have? Like almost
55:59
none. More than
56:01
or so, And I was actually disappointed
56:03
at how little. Oh
56:05
I'm sorry. Okay, nice
56:08
and or sees. We
56:13
will see this some unique
56:15
alert which is amazing at
56:17
sharing. These as releases and
56:19
bit of there was no. Losers
56:22
their be as it to their
56:24
reconstructed face of a seventy five.
56:27
Thousand. Year old female. From.
56:30
The. Hours
56:33
that are Shannon Dar
56:36
Care. This.
56:39
In Iraq is one of the.
56:42
The. Sort of more more
56:44
famous meander early manner so
56:47
sites that became very well
56:49
publicized. For.
56:52
Be burials. Oh
56:55
right. right? Burials.
56:59
The flowers in the day. I die
57:01
A happy ending. Oh they thought they
57:03
were good habits and they weren't like
57:05
but it's actually kind of even more
57:07
interesting because I think they've since determined
57:09
that a think the current version is
57:11
that it was burrowing these the had
57:13
dropped all the power main account. My
57:16
way that means is. What
57:18
that means? is it actually. While.
57:20
It took away like the flower thing
57:22
was people thought was really. Like.
57:25
This neat level of excitement about
57:27
oh they they live our and
57:29
offerings to their than. Actually
57:32
ends up reconfirming.
57:35
The. The notion that it was
57:37
the were intentional burials as opposed to
57:40
know falling into a ditch and having
57:42
dirt follow the cave ruffalo on you
57:44
or something silly like this because. The
57:49
bees. The. Wearing
57:51
these are attracted to
57:53
loosen soil. so
57:56
it at running like now is that
57:58
there are places where these Neanderthals
58:00
were buried was dug out
58:02
first and then
58:04
several hours have to pass for
58:07
burrowing bees to find it and
58:09
decide to drop pollen and burrow
58:11
into it and then, only
58:14
then were the Neanderthals placed
58:16
in it. So
58:18
it shows a very intentional burial that
58:21
wasn't also just on site but like
58:23
it was dug out in advance and
58:26
then the deer departed
58:28
were then laid to rest
58:31
in these. So
58:34
yeah, face of the Neanderthal
58:36
woman though, reconstruction and
58:40
you know she kind of looks very
58:43
modern human-y. You
58:47
know, doesn't seem to have, can
58:51
you bring that photo up again? Oh I
58:55
can't hear you though, I don't know what happened.
58:58
It's a flattened skull. So it
59:01
was in the sediment, it
59:03
was flattened and then they
59:05
reconstructed it to
59:07
create, you know, took all the pieces like a
59:09
puzzle and made it a 3D skull
59:13
and then recreated
59:15
the face.
59:20
It's interesting though because it, I mean
59:23
there's some brow rigidness there I guess, it
59:25
just doesn't seem quite as pronounced, maybe it's
59:27
just the angle of the... Or maybe
59:30
it's because it's a female as opposed to
59:32
a male, maybe female Neanderthal didn't have as
59:34
prominent of a brown. I don't know these
59:36
things, I'm just asking a question. Yes,
59:39
somebody knows. She seems like
59:41
pretty modern human-y, doesn't, you
59:44
know, that too. And
59:46
they gave her a little smile, she
59:48
said, nice day, good day
59:51
in the cave. I
59:56
love the modern techniques that are
59:59
being used to reconstruct ancient
1:00:03
people. When you can
1:00:05
see a face, it makes things more real. Even
1:00:08
if it's a T-Rex,
1:00:12
get it right in the movies, dudes. Final
1:00:18
story for me, too, as a
1:00:20
team of nutritionists and
1:00:22
medical researchers at the Harvard TH
1:00:24
Chan School of Public Health has found
1:00:26
evidence that daily consumption
1:00:29
of olive oil may
1:00:31
reduce the chances of developing
1:00:33
dementia. So this
1:00:35
is kind of a correlative story,
1:00:39
study, in a sense, although
1:00:42
it's sort of picking apart
1:00:46
another correlative, which
1:00:48
is the Mediterranean diet. So
1:00:53
in a couple of different databases,
1:00:55
they put together from more
1:00:57
than, let's see, the
1:01:00
researchers studied patient data for more than 60,000 women,
1:01:03
including the nurses' health study and
1:01:05
more than 31,000 men
1:01:08
in the health professionals follow-up
1:01:10
study. Both databases
1:01:12
include historical information following
1:01:14
patients for up to 30 years. Researchers
1:01:17
found that 4,751 of their 92,383 patients listed
1:01:19
in the two databases had died from dementia-related
1:01:29
causes. In comparing diet
1:01:31
information, they found that those
1:01:33
who had consumed at least a half a
1:01:36
teaspoon of olive oil per day over the
1:01:38
course of the study's years were 28% less
1:01:41
likely to have died from diseases
1:01:43
related to the development of dementia.
1:01:46
So this is a big correlation
1:01:51
of one data
1:01:53
point of
1:01:56
olive oil. supposed
1:02:00
to be really great for the brain
1:02:02
and not part of this study. And
1:02:05
actually it may be killing people. Be
1:02:07
careful of fish oil. It may be killing
1:02:09
people. It definitely kills fish. But
1:02:12
like, you know, the
1:02:16
other flip of this might be true
1:02:18
that olive oil doesn't keep you healthier
1:02:20
but if the inverse was that other
1:02:23
people were using butter, butter leads to
1:02:26
dementia at higher rates and that olive oil
1:02:28
just keeps you at the plateau. So it's
1:02:31
all correlative and it depends on what angle
1:02:33
you're attacking this from. But
1:02:35
what I think was interesting about this is it
1:02:39
performed better than the Mediterranean
1:02:42
diet as a whole. Oh,
1:02:45
that's interesting. So just the whole
1:02:47
like eating everything. Right.
1:02:51
So then you can almost get to the
1:02:53
point where you're drilling down and saying, okay,
1:02:55
what is it about the Mediterranean diet? Maybe
1:02:58
it's just the olive oil. Olive oil.
1:03:01
Like that could be that could be that,
1:03:03
you know. So when you have these
1:03:05
correlations, part of what you're supposed to do
1:03:07
is then sort of eliminate
1:03:09
other factors. And you may
1:03:12
still have correlation and after correlation all
1:03:14
the way down but at some point
1:03:17
you might go, okay, we've actually limited so much
1:03:19
of the other correlations that we're now at
1:03:22
getting to the causal. This is still a long way off.
1:03:25
But yeah, olive
1:03:28
oil performed better and
1:03:33
mayonnaise kills people. But
1:03:36
the interesting thing. So
1:03:42
mayonnaise, if you're
1:03:44
really making your own mayonnaise, you make
1:03:46
it with olive oil. No, no,
1:03:48
no, no. You could make olive oil mayonnaise. Mayonnaise was
1:03:50
fine. Mayonnaise was fine. Mayonnaise was
1:03:52
fine. It's butter. I'm sorry, butter is killing
1:03:54
everyone. Butter. There's
1:03:58
a lot more stuff in the butter. I've
1:04:00
been different a very. Very early
1:04:02
sigrid on of it's other all of us
1:04:04
other vegetable oils to that i don't know.
1:04:08
The Fifth Avenue at the review
1:04:10
None of them, but as. I.
1:04:13
Think I think this is a very
1:04:16
interesting question. Ah, just. Off
1:04:18
the top my head from
1:04:20
basic neuroscience and dietitian like
1:04:22
nutrition science. And scuse
1:04:24
me. A
1:04:27
sense. Are good for
1:04:29
you. I don't want to have eight
1:04:31
everything in moderation, right? But your nervous
1:04:33
system. Requires. For
1:04:36
it's insulation. That is what
1:04:39
maintains the mailing seats. That is
1:04:41
what mean teams and fans like
1:04:43
set is important for your brain
1:04:46
to it may be that olive
1:04:48
oil is and more accessible type
1:04:50
of fat. For. The nervous system.
1:04:53
I mean cause they're specifically looking at dementia
1:04:55
and but I think this is a very
1:04:57
interesting question and died. I hope that. It.
1:05:00
Is. That is figured out at
1:05:02
some point by the heck. But I love olive
1:05:04
oil. And he
1:05:07
is it because this other things that
1:05:09
are good in life to. I
1:05:14
I I actually I like the
1:05:16
study also because I'm already almost
1:05:18
exclusively used olive oil for everyone.
1:05:22
So. I'm
1:05:24
not going to scramble. My A now in
1:05:26
Wales. sorry I didn't die like that.
1:05:28
I like it because it's convenient because
1:05:31
I've already done a. Wonderful
1:05:34
olive oil. Yeah, it's amazing.
1:05:36
things. Are you can
1:05:38
also do olive oil? Man is it's a whole
1:05:40
thing. He can make your own. Very
1:05:42
delicious and. But it I think
1:05:44
this is very interesting. Why
1:05:47
Now I hope the a correlation
1:05:49
We don't understand it. We do
1:05:52
know that a dairy based kind
1:05:54
of this app products do have
1:05:56
a less healthy effect most often,
1:05:59
but. My. I remember that
1:06:01
is not great. My alarm raf I
1:06:03
gotta go. You Have To go.
1:06:05
Item. Run Like now. You have
1:06:07
to go either. So many cool brain stories Zoc
1:06:09
about. Okay to. Bring him here. Bring a
1:06:11
with army as I just can't be here. I
1:06:14
have to go. Have
1:06:17
a wonderful day! I'll see you next
1:06:19
week! Or.
1:06:22
right? To this
1:06:24
does is you and me everybody. says.
1:06:28
You. And me and we're
1:06:30
going to talk about things in
1:06:32
your brains. That's what I want
1:06:34
to talk about now because as
1:06:36
we've talked about olive oil been
1:06:38
good for your brain as you
1:06:40
age. potentially a smokeless the Mediterranean
1:06:43
diet and. Turns
1:06:45
out that a your
1:06:47
brain works better. Thanks.
1:06:50
To cartilage. Like.
1:06:53
Are we talking about? oh
1:06:55
my guests, are there are
1:06:57
cartilage like structures that have
1:06:59
been sound. In
1:07:02
the brain, in the and
1:07:04
like a scaffolding that hold
1:07:06
little. Hope neurons
1:07:08
together in clusters. So if you've
1:07:10
ever taken, can Drayton. Calcium
1:07:13
and can to written for your
1:07:15
knees for the cartilage In this
1:07:17
they're helping to support the structures
1:07:20
that it that are part of
1:07:22
your joints. Might
1:07:24
also be helping your brain is
1:07:26
loud. This study finds that there
1:07:28
are and what are called and
1:07:31
Drayton sulfate clusters. They call it
1:07:33
C S Six and as a
1:07:35
result of their experimental manipulation this
1:07:37
seeing as six they found is.
1:07:40
Necessary. Necessary.
1:07:44
For. Synaptic plasticity. So.
1:07:47
When you learn new things when
1:07:49
you change behaviors. Alice if. You
1:07:51
know we talk about all their brains are so
1:07:53
plastic. It's like a great thing we learned in
1:07:55
the last twenty years. Great. Because
1:07:59
there. Little scaffolds that
1:08:01
are holding little neuron.
1:08:04
Clusters together and.
1:08:07
They. Allow those
1:08:09
clusters of neurons to respond
1:08:12
to environmental stimuli and they
1:08:14
are involved in a spatial
1:08:17
memory and this might actually
1:08:19
be. The. Brain.
1:08:23
Privilege. May. Be
1:08:25
a A and M Am taking liberty
1:08:27
with the word cartilage because it is
1:08:29
a very specific molecules are these. Can
1:08:31
Drayton sulfate. Clusters and. That
1:08:35
they might actually be parts. As
1:08:38
howl of these neurons work
1:08:40
together and part of the
1:08:42
synaptic processing of information this
1:08:45
came from. I'll sell reports
1:08:47
and it says. Brand new
1:08:49
study at a University of
1:08:52
Toronto in the German Center
1:08:54
for Neurodegenerative Diseases. I
1:08:59
don't think I ever considered
1:09:01
the idea that synaptic plasticity
1:09:03
and can Drayton or. Part.
1:09:06
The stuff that's involved in cartilage? Did
1:09:09
that would go together as. So.
1:09:12
This. Is a veer. I think this is
1:09:14
a really interesting. Piece of
1:09:16
work in this is started
1:09:18
distorted several years back ah
1:09:20
and has been ongoing. These.
1:09:23
Hundred and Sulfates word described back
1:09:25
in Two Thousand and Seven by
1:09:27
a Japanese research team and they
1:09:30
seemed kinda random and and people
1:09:32
that have forgot about him and
1:09:34
then. A.
1:09:36
Group. Brought. Him back
1:09:39
and this. Been studying them and
1:09:41
have found that they are associated
1:09:43
with glial cells in the brain.
1:09:45
Ah end when people have psychotic
1:09:47
disorders. These clusters
1:09:49
and they can. Drayton. Are
1:09:51
reduced, Or they've been looking
1:09:54
at the function of these clusters and.
1:09:56
Get. Organized, not just randomly throughout
1:09:58
the brain that. when they
1:10:00
are located somewhere,
1:10:03
they're in a recognizable geometric
1:10:05
shape according to these researchers.
1:10:10
So they did
1:10:12
experimental expression of this in
1:10:14
the brains of mice, and
1:10:21
were able to really
1:10:23
see how they affected
1:10:25
different neurons in the brain. I
1:10:30
think it's so cool. I love it. We
1:10:34
think of the brain as a jello, like,
1:10:36
I don't know, I have always thought of
1:10:38
the brain as something similar
1:10:41
to like a, I
1:10:44
don't know, a jello mold or something. And to
1:10:47
actually think that there is a
1:10:49
much more solid structure, a
1:10:52
scaffolding almost, that
1:10:54
I think is fascinating. So I'd love
1:10:56
to know more about how that's involved
1:10:59
in disorders
1:11:01
of the brain, in when
1:11:03
people have brain traumas, how
1:11:06
does that impact what's going on in the
1:11:08
brain? And is the
1:11:11
scaffolding potentially, if we could focus
1:11:13
on the scaffolding, could
1:11:15
we potentially help fix
1:11:19
what's happening or the
1:11:21
recovery of people who have undergone brain
1:11:24
traumas? Traumatic
1:11:28
brain traumas. Yeah,
1:11:31
yeah, so Robert Varner in YouTube, you say and
1:11:33
you take that stuff for your joints, you're
1:11:36
not old, no, but maybe
1:11:39
it's helping your brain too. I don't
1:11:41
know, but conjointing, it's involved in your
1:11:43
brain, your memory, learning spatial
1:11:45
memory, synaptic plasticity.
1:11:47
This to me is wonderful
1:11:50
and incredible, and I
1:11:52
don't know if you appreciate it as much as
1:11:54
I do, but this is I think a very
1:11:56
exciting discovery and I hope that they look into
1:11:58
it much more deeply. Because
1:12:01
really, it's like,
1:12:05
I don't know. It's very odd to
1:12:07
think of little bits of scaffolding,
1:12:11
holding up little bits of brain, holding
1:12:13
them together and going, okay, now you work together.
1:12:17
What else does it do? I want
1:12:19
to know. I really do want to know more. And
1:12:23
then when we move, it does make
1:12:25
me sad that Justin's not here right
1:12:28
now. When we move from these cartilage-like
1:12:30
structures, I would like to talk for
1:12:32
a moment about a study
1:12:34
that was published again in the
1:12:36
journal Cell. And researchers
1:12:42
created hybrid mice.
1:12:45
They incorporated rat stem
1:12:47
cells into mouse blastocysts
1:12:49
so that the mice
1:12:52
offspring that came from
1:12:55
this union would
1:12:58
have two species
1:13:00
neurons in their brains. This
1:13:06
experiment, we've
1:13:08
had lots of experiments where they've tried
1:13:10
to create chimeras and hybrid brains
1:13:15
put things together. And they've had limited
1:13:17
success, but it's been growing as
1:13:19
researchers have gotten better models and methods and been able
1:13:22
to put things together more and more and more. And
1:13:25
in this particular situation,
1:13:28
the researchers were able to
1:13:32
successfully integrate the rat
1:13:34
neurons into the mouse
1:13:36
brains. And
1:13:39
in creating this situation, the
1:13:41
mice were fine. They were totally
1:13:43
like normal mice. So the
1:13:45
question is, is like, OK, if you're a mouse
1:13:49
with a lot of rat neurons, are
1:13:51
you really a mouse or are you a rat? What's
1:13:53
going on? How does that work? They
1:13:56
behaved like mice. They didn't behave
1:13:58
like rats, but they were. absolutely
1:14:03
fine in terms of how
1:14:06
they developed and how they
1:14:08
behaved. So the researchers then
1:14:10
decided that they wanted
1:14:13
to know more about what
1:14:15
would happen if they disabled the
1:14:18
rat neurons and
1:14:22
how that would impact the mouse
1:14:24
behaviors. In
1:14:26
this situation, when they
1:14:29
disabled these circuits, there
1:14:33
was a difference in the ability
1:14:36
of these mice and how
1:14:38
they were able to behave.
1:14:40
So in
1:14:42
getting rid of the
1:14:45
rat neurons, they found that
1:14:48
if the mice didn't have
1:14:50
their own neurons in
1:14:53
there, their neurons weren't really able to
1:14:55
work and so there
1:14:57
was just dysfunctional mouse neurons in there and
1:14:59
so the mice weren't able, were the
1:15:03
mouse able to smell it? The mice able to smell a cookie?
1:15:05
If you give a mouse a cookie, anyway
1:15:08
they did that. They hit a cookie in
1:15:10
every mouse cage and they
1:15:13
were able to find it with the rat neurons but
1:15:16
if the mouse neurons
1:15:18
were silenced, they couldn't find it.
1:15:20
If the rat neurons were silenced,
1:15:23
it didn't quite work. The
1:15:25
main point is that the researchers
1:15:28
bring home is that
1:15:33
replacing neurons isn't plug and
1:15:35
play. You can't just, oh
1:15:38
you got a dysfunctional neuron, we'll put another
1:15:41
one in. And so
1:15:44
this potentially, what they hope is that the
1:15:47
hybrid brains like this will not only allow
1:15:49
us to understand more about our own brains
1:15:52
but also understand more about how
1:15:54
we can repair and replace parts
1:15:56
of the brain when brain cells
1:15:59
get sick. and die. So
1:16:01
do you have to empty out
1:16:03
the dysfunctional neurons first and
1:16:06
allow time for the other neurons
1:16:09
to develop? This
1:16:12
is the question. If
1:16:15
you give a mouse a cookie, if
1:16:18
they have a rat brain, they're probably still
1:16:20
going to like the cookie. All
1:16:25
right, moving on to my final couple of stories
1:16:27
really quickly here. Researchers have
1:16:29
created little teeny tiny implants,
1:16:32
nano sized, they're neuron
1:16:35
sized implants that
1:16:37
are going hopefully
1:16:40
to be able
1:16:42
to help people who have gone blind
1:16:45
see again. These are
1:16:48
brain interfaces that are specifically
1:16:50
right now being created for
1:16:52
the retina to replace damaged
1:16:54
retina. These what
1:16:58
they call highly flexible thin
1:17:00
polyimide shanks which
1:17:03
have little tiny less
1:17:05
than 15 micrometer
1:17:07
electrodes are
1:17:10
able to micro stimulate
1:17:14
neurons that lead to the
1:17:16
visual cortex. And so
1:17:18
it's not like, oh, yay, we
1:17:21
put it in a mouse and they can see
1:17:23
again, whoop, doo doo. It's kind
1:17:25
of like, like pixels
1:17:27
of light. There's light, dark,
1:17:29
light, dark, the resolution is
1:17:31
not great. But at the
1:17:33
same time, if they can up regulate
1:17:37
the or increase
1:17:40
the resolution of the implants
1:17:43
that they're creating, the hope is that
1:17:45
one day they would be able to
1:17:47
replace a damaged retina
1:17:50
and be able to fully replace
1:17:54
the damaged vision and
1:17:56
the interface between
1:17:58
how light comes in. Into the eye
1:18:01
and then gets turned into an
1:18:03
electro chemical stimulus that moves on
1:18:05
to the visual cortex. Eyes. As
1:18:08
we know I say we again
1:18:10
do that All the types of
1:18:12
this in. Not just
1:18:14
in the I raid. mostly are
1:18:16
visual cortex. Vision. And perception
1:18:19
is mostly a result. The brain.
1:18:23
Cell. Ah the. Initial
1:18:25
tests have suggested that they can
1:18:28
last. These implants can last at
1:18:30
least as long as a lifetime
1:18:32
of a mouse. So if they
1:18:35
could last for a long time,
1:18:37
which could be really cool, Because
1:18:40
one of the problems with implants is
1:18:43
that we can we worry. Whether.
1:18:45
Or not. They'll. Have to
1:18:47
be replaced. How long
1:18:49
are they gonna last? Are they gonna
1:18:52
deteriorated over time? What's
1:18:54
gonna go on there? How's it gonna
1:18:56
work? And so. With
1:18:59
these at with these.
1:19:01
Micro. Micro.
1:19:05
Electrodes that they have created this nano sized.
1:19:07
They are. Individually.
1:19:10
Able to interact. With. An
1:19:12
Iran. Which. Was very course
1:19:14
who knows where it'll go at. But.
1:19:17
It were treat. The mice
1:19:20
were able to perceive light
1:19:22
if this was something that
1:19:24
lasted their lifetime, and it
1:19:27
is something. That.
1:19:29
Could lead to treatments for people in
1:19:31
the future and I'm not gonna do
1:19:33
the same fi we ask cow. But
1:19:36
I hope that you'll do that yourself
1:19:38
because. So
1:19:41
many places and be. But it's. That.
1:19:43
My final story comes back to this
1:19:46
and that really big way. because what
1:19:48
Do you do? With. An
1:19:50
implant in your head. When.
1:19:52
It's gone. obsolete. So.
1:19:55
Many of our devices in this world.
1:19:58
Blues are you. Apple.
1:20:00
People. I
1:20:03
don't know. My dishwasher
1:20:05
refrigerate planned obsolescence? Or
1:20:08
software updates. What?
1:20:11
If you know what you don't want
1:20:13
to, you've got a plugin for your
1:20:15
implant and you don't want to update
1:20:17
the software because you don't wanna mess
1:20:19
up the way that it works with
1:20:22
your brain. And
1:20:25
suddenly. You. Have
1:20:28
a bricked implants. He
1:20:31
knew what do we do? What?
1:20:34
Are we going to do?
1:20:36
Researchers are talking now about
1:20:38
this issue which never was
1:20:40
an issue before, but Ah
1:20:43
has now. Is
1:20:45
something that people are talking about.
1:20:48
Tech abandonment and. The
1:20:50
idea that. Implants, Could
1:20:53
potentially. Not be.
1:20:55
Supported. By their producers anymore.
1:21:00
They have the researchers
1:21:02
who have have published
1:21:05
their study this last
1:21:07
week. They are acknowledging
1:21:09
exceptions. Like devices
1:21:11
that are being tested in clinical
1:21:13
trials are, they are. Talking
1:21:17
about things like Elon Musk, said
1:21:19
link or there are a lot
1:21:21
of things going on and they
1:21:23
hope. With. This research that's
1:21:25
been published in Jama Jammers
1:21:27
Network opened. It's that. Some
1:21:31
regulations can be put in place.
1:21:35
If. An implant manufacturer, Goes
1:21:38
bankrupt, What? Happens
1:21:40
to the patient. Do
1:21:43
take it away. Does it
1:21:46
stay? With.
1:21:48
What's going To happen? So
1:21:50
I think this is. This
1:21:52
is one of our satisfy. Questions.
1:21:56
rate that this is our future and how
1:21:58
did we get here to even considering
1:22:00
this particular question.
1:22:03
But I leave that to you all for the
1:22:06
rest of tonight. I am on
1:22:09
my own here. I'm sad that Justin had to
1:22:11
run away, but he had to catch a train
1:22:13
and go to work. I'd love to
1:22:15
know what you all think. Do you
1:22:18
have cochlear implants? Do you have
1:22:20
other implants? Have you ever had
1:22:22
an implant that stopped working? What
1:22:25
happened? What happened? How do you
1:22:27
deal with it? How would you deal with it? What
1:22:29
would you do with old technology
1:22:31
abandoned, not in a in
1:22:34
a dump somewhere or in a pick
1:22:37
and pull, but in your
1:22:39
body? What are we going to do with that? So
1:22:44
many questions for the future. I'm
1:22:46
so glad that somebody's thinking about something
1:22:48
these days. I'm
1:22:50
really glad that you are all here
1:22:52
thinking about things with me. I
1:22:56
do appreciate it. And to reiterate
1:22:58
once again, for all you
1:23:00
science moms out there doing all the science and
1:23:02
the momming, I think you're
1:23:05
amazing. It's not
1:23:07
easy. And if you feel
1:23:09
like it, you want to share, send me a
1:23:11
note about being a science mom,
1:23:13
what your experience is like. And I
1:23:15
would love to share your experience with
1:23:18
our twist community. Everyone
1:23:21
else, I just want to say thank you
1:23:23
so much for being here. Thanks for listening.
1:23:25
Thanks for watching. I hope you did enjoy
1:23:27
the show. Shout outs, Fata. Thank you for
1:23:29
all the show notes and the social media
1:23:32
and the support over the last couple of
1:23:34
weeks with stuff my family's been going through.
1:23:37
And Gord, Arne Lore,
1:23:39
everyone, thank you for
1:23:41
keeping the chat room
1:23:43
good places. Identify for thank
1:23:45
you for recording the show. Rachel,
1:23:47
thank you for editing
1:23:50
the show. Everyone in the chat
1:23:52
rooms. I see you my discord.
1:23:54
I see you.
1:23:56
YouTube. There's a
1:23:58
twitcher. Who's there? Oh, Is there other
1:24:00
Facebookers? Are there Facebookers here? Anyway, I've got Facebook also.
1:24:03
I see you and thank
1:24:06
you for chatting and thank you for
1:24:08
putting your comments into the chat. I
1:24:10
do watch them as
1:24:12
they roll past and I try to keep them in
1:24:14
mind. And yeah,
1:24:17
you're the reason we're here anyway. So
1:24:19
I love being able to talk with all
1:24:21
of you. Thank you
1:24:23
also, of course, to our
1:24:26
Patreon sponsors. I
1:24:28
definitely have to say thank you. To
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our Twist Patrons, Alan Viola, Aaron
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Anathema, Arthur Kepler, Craig Pottsberry, Gertz
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Theresa Smith, Richard Badge,
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Korus, Pierre Villazar, John Wetneswamy,
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Chris Wozniak, Weigart, Sheffstad, Jonathan
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Stiles. Okay, good. I'm
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on the right page. That's awesome.
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AKA Don Stilo, Ellie Carfin, Reagan
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Shubru, Sarah Forfar, Don Mundis, PIG,
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Kevin Reardon, Noodles, Shaq, Brian Carrington,
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David Youngblood, Sharon, Sean Grin, Slam,
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Tan, Christopher Rappin, Richard Brendan Minnish,
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Johnny Gridley, Remy Day, G. Burton,
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Lattimore, Flying Out, Christopher Dreyer, Artyom, Greg
1:25:18
Griggs. Hope you're having fun on that
1:25:20
boat. John Atwood, Rudy Garcia, Dave Wilkinson,
1:25:23
Rodney Lewis, Paul Rick, Ramis, Phillip Shane,
1:25:25
who's also doing some awesome documentary work
1:25:27
these days and hosts the What If
1:25:29
podcast. Kurt Larsen, Craig Landon, Sue Doster,
1:25:32
Jason Olds, Dave Neighbor, Eric Knapp, Lon
1:25:36
Makes, Shnocko, I see
1:25:38
you. EO, Adam Michkahn, Aaron
1:25:40
Luthan, Bob Calder, Marjorie Paul, Disney,
1:25:42
David Simmerle, Patrick Pecoraro, and Tony
1:25:44
Steele, an amazing artist who just
1:25:46
is so sharing and giving of
1:25:48
his work. It is constantly
1:25:51
improving and doing amazing things. I
1:25:54
appreciate all the support from
1:25:56
all of you. Really, I
1:25:58
see you. Yes, Robert. It's
1:26:00
over already. It
1:26:02
is. Maybe
1:26:05
we actually hit a tight 90 tonight. Anyway,
1:26:09
thank you. Let me finish, I guess,
1:26:11
with what we normally do together, Justin
1:26:13
and I. On next week's show, we...
1:26:15
Oh wait, no, I gotta say, thank
1:26:18
you for supporting us on Patreon. If
1:26:20
you're interested in supporting us, you can
1:26:23
find information at twist.org.
1:26:25
There's a link to Patreon there. On next week's show, we're
1:26:27
going to be back once again,
1:26:30
broadcasting Wednesday at 8pm Pacific time, live
1:26:32
from our Twitch, YouTube and Facebook channels.
1:26:34
But if you want to listen to
1:26:36
us on a podcast, you can look
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1:26:41
are found. If you enjoy the show,
1:26:43
you know, don't keep it to yourself.
1:26:45
Make sure you share it with your
1:26:47
friends and get them to subscribe as
1:26:49
well. For more information on
1:26:51
anything that you've heard today, show notes
1:26:54
and links to stories are going to
1:26:56
be available at twist.org. You can also
1:26:58
sign up for our newsletter. I
1:27:00
will send one again someday. I
1:27:03
do love your feedback. I really love hearing
1:27:05
from people. So if there's a topic that
1:27:07
you want us to cover, address or a
1:27:09
suggestion for an interview, let us
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know. On one of our social
1:27:13
media accounts, sometimes I check them, but you
1:27:15
can also send an email. Just
1:27:18
put twists in the subject
1:27:20
line so that your email
1:27:23
does not get spam filtered
1:27:25
into a
1:27:27
dysfunctional mouse neuron in
1:27:29
a hybrid brain that a rat neuron
1:27:33
thing is taking over. Oh my
1:27:35
goodness. Everyone,
1:27:38
we look forward to discussing science with
1:27:41
you again next week and we hope
1:27:43
that you'll join us once again.
1:27:45
And remember, if you have
1:27:47
learned anything
1:27:49
from this show,
1:27:52
it's all in your head. This
1:28:01
is the end of the world.
1:28:08
So I'm heading up shop, got my banner up for a
1:28:10
look. And
1:28:14
as the science is in,
1:28:17
I'm going to sell my
1:28:19
knife. Children have found the
1:28:21
robot with a simple device.
1:28:23
I'll reverse follow me with
1:28:25
a wave of mine. And
1:28:27
all this heatball is coming
1:28:30
your way. So
1:28:34
everybody listen to what I say.
1:28:37
I use the scientific methods for
1:28:39
all that is worth. And I'll
1:28:41
broadcast my opinion all over the
1:28:43
Earth. This
1:28:46
week is science. This
1:28:49
week is science. This
1:28:52
week is science.
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