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Welcome to the Decipher podcast.
I'm Dennis Fisher here with 

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Lindsay O'Donnell, Welch Linds. 
I think we actually made it 

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through a week without a giant 
vulnerability or targeted attack

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or anything catastrophic 
happening. 

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Knock on wood, but yes, that's. 
Yeah, I think, oh, right, that's

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true. 
It's not the weekend. 

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We have like 15 hours before. 
Yeah, things could still go 

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sideways. 
Yeah. 

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The, I think the biggest, like 
it wasn't a security event, but 

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the AWS outage took up a lot of 
people's time and energy this 

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week. 
I think I I paid a little bit of

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attention to it, like everybody 
did. 

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But once I realized it wasn't 
security related, I was like, 

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Nah, I don't care. 
They'll they'll fix the Internet

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at some point. 
I know I, I feel like those crop

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up every, you know, few months 
or weeks where you know, 

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there's, there's an outage and 
then everyone realizes just how 

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interconnected everything is. 
And yeah I did see some 

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hilarious tweets about was it 
IoT connected like beds or 

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something weren't heating up 
properly or weren't like moving,

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just first world problems. 
The first thing that came into 

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my head was like what in the 
hell have we done that? 

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Like people are getting like 
first degree burns because their

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bed won't cool down because the 
cloud platform is out. 

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Like what? 
That's I think there are bigger 

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issues at play if that's really 
your biggest problem. 

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Honest to God in it, it was one 
of those things where like it 

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happened overnight for us, like,
you know, US East Coast and I 

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kind of woke up and I don't, oh,
I know exactly how I figured out

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what had happened. 
I went to play Wordle and it 

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wouldn't work. 
And I was like, oh, there must 

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be a thing going on. 
And then, you know, noticed it 

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in some group chats or whatever.
But that's like how how 

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interconnected and dumb the 
world is that you're just like 

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Oh my word game doesn't work and
my bed might kill me and like my

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oven won't Preheat remotely. 
It is funny like that's you 

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know, in in like the movies and 
when these types of things are 

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dramatized, like it's always 
like all the power shuts down 

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and like these are black and 
everything. 

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But like even like do you 
remember the Dan you know D Dos 

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attack in like 2017? 
That was because of the Mirai 

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bot Nets, like the cute DDoS 
attack like even that I, I 

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remember I found out about that 
because I couldn't log into 

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Netflix. 
I was just like, OK, this is 

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just, there's nothing critical 
happening from my end, you know,

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as an everyday user, so. 
It's just funny. 

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Yeah. 
It was funny because it kind of 

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turned into like, almost a snow 
day for people, too, because, 

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like, my son who's in college 
texted me. 

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It was like, what the hell did 
Amazon do to the Internet? 

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I can't even do school work 
here. 

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And you know, he had like a 
bunch of laughing emojis and I 

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text him back. 
I was like, there's, I've told 

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you this, there's like 4 
companies that run the Internet.

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That's one of them. 
And when it breaks like this is 

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what happens. 
He's like, cool, I'm going to go

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play golf. 
That's good reaction. 

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Yeah, it's every, every so often
that meme pops up where it like 

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all the blocks are, you know? 
Yes. 

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Spiraling down to 1 little block
and I've and sadly I've seen 

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that over and over with, you 
know open source security issues

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and like you know just all these
out like a critical 

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infrastructure and now just this
so like it's. 

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Just. 
I think that there's a recurring

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theme here, so. 
I can't even remember what the 

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original. 
I know it's from XKCD, but I 

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don't remember what the original
like configuration of that comic

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was. 
Like what's holding up the 

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entire Internet? 
It's probably something like 

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JavaScript or, you know, some 
dumb shit like that. 

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I can't remember what it was, 
but it's used over and over and 

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over whenever there's some kind 
of cascading failure like this 

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and the general public realizes 
that everything is being held 

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together, you know, by Silly 
Putty and you know, like 4 

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people in a data center in 
Seattle. 

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Exactly. 
Yeah. 

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That's, that's not going to 
change, I don't think. 

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Unfortunately, no. 
It's only going to get worse, 

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like consolidation. 
And yeah, we know. 

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All right, let's get to some 
actual security things. 

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So you wrote a story this week, 
Linds, about this Cyber Solarium

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Commission report. 
They sort of come out with 

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these. 
I don't know if it's like a 

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regular cadence, but every few 
months or so they do some really

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good work. 
Tell us about that one that 

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came. 
Out this week. 

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Yeah, that it, this is 
interesting to write about and 

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read because those were, the 
report basically comes from this

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Commission, as you mentioned, 
the Cyberspace Solarium 

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Commission that was created I 
think like 6 or so years ago by 

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Congress to basically when the 
US was like, how can we, you 

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know, defend against really big 
cyber attacks? 

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And like, what do we need to do?
Like we need like benchmarks and

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like a step by step process to 
measure like how well we're 

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equipped to defend against these
types of things. 

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So the Commission created 82 
recommendations for how, you 

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know, different, basically 
different measures that the US 

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government could take across 
Congress, across, you know, 

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executive actions, all these 
different things like in also 

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like operationally, how its 
agencies operate, things like 

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that. 
And every year so far, the 

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report, there's been like a 
report basically that comes out 

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in matches and measures how the 
US government's doing using 

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these recommendations as a 
benchmark. 

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So you know, some of these 
things are like, you know, 

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strengthen SISA or like, you 
know, diversify workforce, yes, 

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improve cyber capacity building 
and consolidate the funding of 

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cyber foreign assistance things,
things along that those lines. 

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So like you can imagine over the
past year, just with like all 

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the craziness and chaotic nature
of what's been happening that, 

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you know, in this past report 
that they came out with this 

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week, they found that some of 
the recommendations that had 

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previously been, you know, there
a lot of progress had been made 

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towards those recommendations. 
Now we're kind of in reversal 

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and they're they basically said 
that there was a bit of a set 

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back in EU s s ability to 
protect itself from threats due 

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to things like SISA budget cuts 
and, you know, some other moves 

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that have been made over the 
past year. 

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Now, I do want to say that in 
the report, they found that some

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of this, some of the things that
they have seen over the past 

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year is just kind of the nature 
of, you know, things that 

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happened during presidential 
transitions, kind of par for the

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course. 
Like there's going to be there's

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going to be personnel turnover. 
There's going to be like a shift

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in priority. 
And like that's just kind of 

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what happens. 
But I think, you know, they 

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pointed specifically to CISA, 
which you know, as we've seen in

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the news recently has been going
through a lot of budget cuts and

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a lot of personnel cuts and then
also a couple of other, a couple

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of other concerns there as well.
Yeah, it's, it's disheartening 

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to see these kind of things 
obviously because as we just 

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detailed talking about the AWS 
thing, everything relies on the,

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you know, on the Internet in one
way or another, whether you 

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think it's disconnected or, or 
it's not. 

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And we're at a point in, you 
know, human history where you 

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can't go backwards on these 
things. 

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You really do need to be making 
progress on a continual basis 

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because we have, you know, 
nation state adversaries who are

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trying to do the same things we 
are and are also watching what 

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our defensive capabilities are 
and developing offensive 

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capabilities to exploit where 
they see weaknesses. 

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I mean, everybody talks about 
China and Russia and to some 

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degree North Korea and Iran in 
terms of their offensive 

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programs. 
And they're not, you know, 

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they're not slowing down, 
they're accelerating and in a 

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lot of cases are, are ahead of 
us in terms of some of these 

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offensive capabilities and the 
type of programs they're putting

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in the field. 
So if we're going backward on 

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defense in some cases or in 
some, some key areas, it's, you 

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know, that's a, that's a real 
problem. 

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You know, outside of the CISA, 
the personnel things and all the

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budget chaos here, our 
government is not operating at 

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the moment, which is always, you
know, which is a crazy thing if 

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you, I don't know if you've had 
these conversations, but I have 

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friends that work in the 
government in DC or, you know, 

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have recently. 
We also have friends, you know, 

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and colleagues from other 
countries that are like, I don't

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really understand. 
Your government just does not 

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work right now. 
No, Yeah. 

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They just, they just sent 
everyone home and said we'll pay

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you later. 
It's almost impossible to 

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explain. 
It's so it's crazy, yeah. 

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I mean, and we talked about this
in previous podcast too, but 

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like the impact that, you know, 
the current situation short term

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is having on cybersecurity is 
really interesting to see play 

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out. 
But then as you mentioned, when 

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you look at other countries and 
the capabilities that they have 

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that that's really scary as 
well. 

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I mean, if you look at how China
operates, like they're so 

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unified in terms of how 
different processes work 

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together. 
If you look at, you know, what 

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they're, you know, some of their
rules are their standards for 

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vulnerability disclosure and 
things like that compared to how

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you know other nations operate. 
And then you look at kind of 

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where we're at right now in 
terms of like our, the 

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operations that we currently 
have in place, it's, it's a 

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little disheartening. 
So, and the other thing too is, 

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you know, CISA, I would say does
a lot of work behind the scenes,

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both in within the government, 
but then also like they've 

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really done a good job in my 
personal opinion, like fostering

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this like public private 
collaboration over the past few 

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years and like trying to reach 
out to those like less 

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resourced, you know, entities 
like, you know, that might be in

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more of, you know, rural areas. 
So like trying to like go from 

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the ground up a little bit more 
there. 

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So I think there's just going to
be a longer term impact there in

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the private sector that 
hopefully won't be too big of a 

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hit, but we'll see. 
Yeah, there's no question about 

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it. 
We did mention this I think a 

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couple weeks ago when we were 
talking about some of the 

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specific cuts that had to do 
with funding for state, local 

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and tribal government programs, 
specifically around 

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cybersecurity, which you know 
those, those agencies tend not 

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to have large budgets and they 
don't have large personnel pools

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with cybersecurity specific 
experience. 

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And it's really difficult for 
them to go and find and pay for 

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that, that expertise when they 
don't have the funding from the 

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federal government to do it. 
You know, the, the information 

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sharing part of it is great. 
And that's all well and good 

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when Cissa sends you a bunch of 
things and says, Hey, there's 

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attacks against this F5 bug or 
whatever it happens to be. 

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But if you're a small government
agency in a, you know, in Nevada

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and you're like, well, cool. 
But we don't have anybody to 

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help us actually do anything 
about that. 

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You know, we have Fred, the IT 
guy that runs everything for an 

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entire county and doesn't, you 
know, how is he going to go find

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and patch every F5 box we have? 
But. 

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Yeah, Yeah, that's a really good
point. 

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The other thing in the report 
that, you know, I wanted to get 

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your thoughts on too was the. 
So basically it made several 

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recommendations to help, you 
know, in the coming year, get us

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back to where we need to be in 
terms of strengthening, you 

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know, different authorities and 
like getting more funding to 

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agencies. 
And obviously, you know, SISA 

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was was part of that as well as 
the State Department restoring 

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the workforce and funding there.
They also mentioned elevating 

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the role of the office of the 
National Cyber Director. 

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I thought that was interesting 
because and kind of obvious, but

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like, you know, we have so many 
different regulatory security 

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initiatives across the US and 
it's such like a patchwork and 

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00:13:45,760 --> 00:13:50,040
fragment system. 
So that's, you know, over the 

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past few years, that's that's 
been top of mind for me at least

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is like, you know, how to 
capture it basically like 

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encapsulate better unified, like
security initiatives across the 

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00:14:02,720 --> 00:14:06,320
country. 
And that was one thing that this

226
00:14:06,320 --> 00:14:09,840
report kind of highlighted was 
needed, the need for the Office 

227
00:14:09,840 --> 00:14:13,480
of the National Cyber Director 
to have these elevated 

228
00:14:13,480 --> 00:14:16,480
privileges to be able to, you 
know, help do that. 

229
00:14:17,560 --> 00:14:19,520
I completely agree with that. 
I don't know. 

230
00:14:21,040 --> 00:14:23,880
The way that the federal 
government works is an absolute 

231
00:14:23,920 --> 00:14:27,520
opaque mystery to me, even 
though, you know, we all learned

232
00:14:27,520 --> 00:14:30,840
about it in grade school and 
understand like the branches and

233
00:14:30,840 --> 00:14:33,520
all that. 
But who does what when is is 

234
00:14:33,520 --> 00:14:36,760
still kind of mysterious. 
But that seems to me like a 

235
00:14:36,760 --> 00:14:40,040
position that should be 
essentially a cabinet level 

236
00:14:40,200 --> 00:14:47,800
position given the dependency of
everything on the Internet or, 

237
00:14:47,880 --> 00:14:51,400
you know, however you want to 
classify it on, you know, 

238
00:14:51,400 --> 00:14:54,200
computer technology these days, 
networks, cyber security, 

239
00:14:54,240 --> 00:14:58,920
whatever you want to say that. 
I mean, how is that not as vital

240
00:14:58,920 --> 00:15:06,320
as, you know, the kinetic 
defense or, you know, Department

241
00:15:06,320 --> 00:15:09,120
of Treasury or things like that 
Department of Transportation 

242
00:15:09,520 --> 00:15:13,200
that are part of everybody's 
daily lives. 

243
00:15:13,560 --> 00:15:18,080
And as we see when something 
like the AWS outage happens or, 

244
00:15:18,120 --> 00:15:20,080
you know, the Mirai thing that 
you mentioned earlier, Linds, 

245
00:15:20,880 --> 00:15:23,280
people realize it when those 
things happen. 

246
00:15:23,280 --> 00:15:25,920
They don't realize it is part of
their daily lives. 

247
00:15:25,920 --> 00:15:29,520
But you know, when their car 
won't update its software 

248
00:15:29,520 --> 00:15:32,520
because there's some sort of 
like cloud problem or, yeah, 

249
00:15:32,520 --> 00:15:36,480
your, your bed tries to kill you
in the middle of the night, then

250
00:15:36,920 --> 00:15:42,400
then you realize it. 
But I do feel like that is these

251
00:15:42,400 --> 00:15:45,920
are essential things that are 
part of daily life and the 

252
00:15:45,920 --> 00:15:49,520
government needs to be paying as
close attention to those as it 

253
00:15:49,520 --> 00:15:51,800
does to any of those other bits 
and pieces. 

254
00:15:51,800 --> 00:15:57,920
So elevating that to the highest
possible level seems like a no 

255
00:15:57,920 --> 00:15:59,880
brainer to me. 
And it seems like something that

256
00:15:59,880 --> 00:16:03,320
probably, but one of the other 
problems is we've had so many 

257
00:16:03,320 --> 00:16:08,040
different versions of that 
position over the years. 

258
00:16:08,080 --> 00:16:11,280
You know, there was like a 
cybersecurity czar at various 

259
00:16:11,280 --> 00:16:14,600
times, or there was this office 
or there's this office. 

260
00:16:14,600 --> 00:16:19,440
And there's so many different 
parts of the government that are

261
00:16:19,440 --> 00:16:22,560
responsible for overlapping 
pieces of critical 

262
00:16:22,560 --> 00:16:27,800
infrastructure defense. 
And I do feel like it's in some 

263
00:16:28,200 --> 00:16:31,320
some ways sort of a game of 
telephone of like, OK, well, 

264
00:16:31,320 --> 00:16:33,480
who's in charge of this and 
who's responsible for that? 

265
00:16:33,480 --> 00:16:37,080
And who's going to do this, 
especially when we're in the 

266
00:16:37,080 --> 00:16:41,400
middle of this chaotic period 
that doesn't really seem to have

267
00:16:41,400 --> 00:16:45,120
any end on the horizon with 
budget cuts and personnel cuts, 

268
00:16:45,920 --> 00:16:48,920
You know, at CISA, which 
everybody sort of points to, is,

269
00:16:49,040 --> 00:16:52,320
and rightly so, is the flagship 
cybersecurity defense 

270
00:16:52,320 --> 00:16:54,440
organization for the federal 
government. 

271
00:16:54,960 --> 00:16:58,800
And they're being, you know, 
systematically gutted, 

272
00:16:59,880 --> 00:17:04,560
especially the cybersecurity 
portion of CISA over the last, I

273
00:17:04,560 --> 00:17:07,880
guess what, seven months, six 
months now, whatever it is, it's

274
00:17:07,880 --> 00:17:14,760
been and there's no real, I 
don't, I haven't seen any real 

275
00:17:15,119 --> 00:17:20,079
logic to those, to those 
reductions or any real game plan

276
00:17:20,599 --> 00:17:25,520
in why they're doing this. 
And you know, it, it doesn't 

277
00:17:25,520 --> 00:17:30,560
seem like it's certainly not 
improving our defenses in any 

278
00:17:30,560 --> 00:17:32,520
way. 
So I I don't know. 

279
00:17:33,760 --> 00:17:35,640
That's. 
It's kind of a rambling answer 

280
00:17:35,640 --> 00:17:37,240
to your question, but. 
No, yeah. 

281
00:17:37,240 --> 00:17:41,280
And that's an interesting like 
one thing that sticks out to me 

282
00:17:41,280 --> 00:17:44,640
is like, now we're obviously 
seeing these, you know, these 

283
00:17:44,640 --> 00:17:47,680
cuts in in personnel, these cuts
in workforce. 

284
00:17:47,680 --> 00:17:53,320
Like when it comes to security, 
is there going to be an explicit

285
00:17:53,480 --> 00:17:58,880
way that we can measure like, 
oh, we had more cyber attacks 

286
00:17:58,880 --> 00:18:00,360
this year like we, you? 
Know. 

287
00:18:00,920 --> 00:18:05,080
I think it's going to be really 
hard and like, you know, one way

288
00:18:05,080 --> 00:18:08,080
that it could be measured is, 
you know, maybe there's going to

289
00:18:08,080 --> 00:18:12,920
be like, if any, like just with 
the the challenges right now 

290
00:18:12,920 --> 00:18:17,040
around, you know, public 
collaboration and having like 

291
00:18:17,080 --> 00:18:23,160
reporting, sharing, you know, 
ways to share and report about 

292
00:18:23,720 --> 00:18:26,840
security incidents. 
Like I almost wonder if we're 

293
00:18:26,840 --> 00:18:29,720
going to see less reported 
breach it. 

294
00:18:30,000 --> 00:18:31,800
Yeah, I don't know. 
I think it's going to be tough 

295
00:18:31,800 --> 00:18:35,440
like to figure out what the 
impact is going to be for this 

296
00:18:35,440 --> 00:18:40,520
and how, how to measure that. 
But yeah, I guess it's just 

297
00:18:40,600 --> 00:18:43,480
still to be seen. 
There's a couple of things there

298
00:18:43,480 --> 00:18:44,640
that are pretty interesting to 
me. 

299
00:18:44,640 --> 00:18:50,360
One is the, IT in some ways 
reminds me of the way that 

300
00:18:50,760 --> 00:18:53,600
whenever there is a change in 
presidential administration, 

301
00:18:53,960 --> 00:19:00,000
they always sort of will 
weaponize things like jobs 

302
00:19:00,000 --> 00:19:04,480
reports and economic reports and
be like, look how well we're 

303
00:19:04,480 --> 00:19:08,000
doing since we came into office 
or, you know, those sorts of 

304
00:19:08,000 --> 00:19:10,280
things. 
Even with like a sample size of 

305
00:19:10,280 --> 00:19:16,200
like 1/2 an hour, you know, and 
you have to take that with a 

306
00:19:16,200 --> 00:19:18,800
grain of salt. 
But the thing that you mentioned

307
00:19:18,800 --> 00:19:22,520
of like are we going to, are 
these reporting mechanisms still

308
00:19:22,520 --> 00:19:27,240
going to be in place where we're
going to know about attacks that

309
00:19:27,240 --> 00:19:30,480
have happened? 
That's a great question. 

310
00:19:30,480 --> 00:19:32,000
I don't, I don't really have an 
answer. 

311
00:19:32,000 --> 00:19:36,280
I mean, there are laws in place 
in in almost every state, I 

312
00:19:36,280 --> 00:19:38,960
think at this point that you 
need to report these and there 

313
00:19:38,960 --> 00:19:41,640
are regulatory things and all 
that kind of stuff. 

314
00:19:41,640 --> 00:19:45,000
And you can go look at the SEC 
filings, but the anecdotal 

315
00:19:45,000 --> 00:19:49,840
things that get sort of reported
through CISA and other agencies 

316
00:19:49,840 --> 00:19:55,080
where a private organization 
will alert them to an ongoing 

317
00:19:55,080 --> 00:19:57,040
attack and then that gets 
disseminated. 

318
00:19:57,320 --> 00:20:01,600
I don't know because the I don't
know if those, those information

319
00:20:01,600 --> 00:20:03,640
sharing mechanisms are still 
going to be in place. 

320
00:20:04,320 --> 00:20:09,320
And it reminds me of the line 
that we see in every or in a lot

321
00:20:09,320 --> 00:20:14,000
of breach disclosures and after 
action reports will those 

322
00:20:14,240 --> 00:20:18,520
they'll say something like we 
haven't found any evidence of. 

323
00:20:19,680 --> 00:20:23,560
Active exploitation or of you 
know, source code theft or XYZ, 

324
00:20:23,560 --> 00:20:25,320
whatever, whatever you want to 
put into there. 

325
00:20:25,840 --> 00:20:28,360
And everyone with any experience
will be like, well, have you 

326
00:20:28,360 --> 00:20:32,920
looked or do you have the logs 
to tell you if this happened? 

327
00:20:33,320 --> 00:20:37,880
So if if six months from now 
somebody in the government 

328
00:20:37,880 --> 00:20:41,440
points to a thing and says look 
how much data breaches have gone

329
00:20:41,440 --> 00:20:44,680
down since, you know, the 
beginning of 2025, you've got 

330
00:20:45,360 --> 00:20:48,880
really, have they or are we just
not hearing about them, you 

331
00:20:48,880 --> 00:20:52,120
know? 
Yeah, I know it's like we could 

332
00:20:52,120 --> 00:20:55,800
do like a whole other podcast 
about, you know, stats and how 

333
00:20:55,800 --> 00:20:58,480
data is framed like that, 
especially in cybersecurity, 

334
00:20:58,480 --> 00:21:00,880
because there's always going to 
be a, you know, some sort of 

335
00:21:00,880 --> 00:21:03,560
back end context there, 
Especially when it comes to 

336
00:21:03,560 --> 00:21:06,640
incident reporting, because 
that's such a, there's so many 

337
00:21:06,640 --> 00:21:10,160
layers there, like are things 
being reported, like, you know, 

338
00:21:10,520 --> 00:21:13,760
what's happening on the back end
and all these different things. 

339
00:21:13,760 --> 00:21:15,440
So yeah, it's really 
interesting. 

340
00:21:15,800 --> 00:21:18,360
Oh, yeah, I'm sure some of our 
stat nerd friends are like 

341
00:21:18,360 --> 00:21:22,280
screaming at their, you know, 
podcast players right now about 

342
00:21:22,280 --> 00:21:26,760
this stuff and like sample size 
and all kinds of other phrases I

343
00:21:26,760 --> 00:21:29,880
don't want to hear about. 
But yeah, I, I think it's going 

344
00:21:29,880 --> 00:21:32,320
to be something to watch going 
forward. 

345
00:21:32,320 --> 00:21:34,120
That's it's a really good point 
you raised. 

346
00:21:35,200 --> 00:21:39,000
Yeah. 
So what was the other? 

347
00:21:39,000 --> 00:21:41,200
Oh, there was a couple of other 
things I wanted to mention that 

348
00:21:42,200 --> 00:21:47,360
you mentioned the F5 thing 
briefly that, you know, incident

349
00:21:47,360 --> 00:21:50,560
that happened a few I guess two 
weeks ago now. 

350
00:21:51,560 --> 00:21:56,680
Gosh, yeah. 
With the F5 intrusion and and 

351
00:21:56,680 --> 00:22:00,280
sort of a supply chain attack, 
and I saw some reporting this 

352
00:22:00,280 --> 00:22:03,160
week sort of tied to the SISA 
thing. 

353
00:22:03,160 --> 00:22:06,040
We were just talking about how, 
you know, SISA put out the 

354
00:22:06,040 --> 00:22:08,600
emergency directive for the F5 
thing. 

355
00:22:10,080 --> 00:22:14,440
Essentially what those say is, 
hey, agencies go find all these 

356
00:22:14,440 --> 00:22:18,160
F5 things and disconnect them if
they're vulnerable or try and 

357
00:22:18,200 --> 00:22:19,800
patch them. 
And, you know, they're kind of 

358
00:22:19,800 --> 00:22:22,320
boilerplate and they happen all 
the time. 

359
00:22:23,440 --> 00:22:25,560
But some of the reporting, I 
think it was Cyberscoup 

360
00:22:25,560 --> 00:22:28,280
specifically went and kind of 
did a story and talked to some 

361
00:22:28,280 --> 00:22:32,960
former CISA folks and some Cisos
that said, well, they didn't 

362
00:22:33,040 --> 00:22:38,000
actually know where all part of 
the reason that that emergency 

363
00:22:38,000 --> 00:22:40,440
directive went out is because 
they didn't know. 

364
00:22:40,440 --> 00:22:43,680
Well, all this F5 stuff was 
inside the federal government, 

365
00:22:43,800 --> 00:22:47,320
despite billions of dollars 
spent on these various programs 

366
00:22:47,320 --> 00:22:49,480
that are designed to know 
exactly where all these things 

367
00:22:49,480 --> 00:22:53,280
are inside these agencies, 
which, you know, it's just kind 

368
00:22:53,280 --> 00:22:56,400
of another, I don't know if data
pointer is the right word, but 

369
00:22:56,400 --> 00:23:02,160
anecdotal anecdote. 
There we go in the, in the 

370
00:23:02,320 --> 00:23:08,720
timeline that shows it's not, 
you know, we're kind of taking 

371
00:23:08,720 --> 00:23:12,840
steps back here. 
You know, it's not to keep 

372
00:23:13,600 --> 00:23:19,440
beating this drum, but it is 
kind of more, you know, evidence

373
00:23:19,440 --> 00:23:22,720
to the on that side of the fence
that things are not going well. 

374
00:23:23,760 --> 00:23:26,240
Yeah, that was, that report was 
really interesting. 

375
00:23:26,240 --> 00:23:33,440
I didn't read too much into it. 
But so basically there was they 

376
00:23:33,440 --> 00:23:35,760
didn't understand like where the
different assets were. 

377
00:23:35,760 --> 00:23:38,800
Is that what you're saying? 
Like, yeah, OK, yeah, it's not 

378
00:23:38,800 --> 00:23:40,480
great. 
No, it's not great. 

379
00:23:40,520 --> 00:23:44,800
I mean, an old cliche of like, 
you can't secure what you don't 

380
00:23:44,800 --> 00:23:48,200
know you have, which is, you 
know, one of my favorites. 

381
00:23:48,200 --> 00:23:50,480
But it's so true. 
It's a cliche for a reason. 

382
00:23:51,120 --> 00:23:53,760
You can't go and fix something 
if you don't know that you 

383
00:23:53,800 --> 00:23:58,920
actually own it. 
You know, we saw this so often 

384
00:23:58,920 --> 00:24:01,880
with things like the, you know, 
the SolarWinds attack was, you 

385
00:24:01,880 --> 00:24:04,720
know, one of the most obvious 
examples where tons of 

386
00:24:04,720 --> 00:24:07,840
organizations were like, no, we 
don't have that. 

387
00:24:07,840 --> 00:24:11,720
And then, you know, three days 
later, they're like, oh, we do, 

388
00:24:12,320 --> 00:24:13,600
yeah. 
Or you that. 

389
00:24:14,000 --> 00:24:18,320
Yeah, I, I feel like that's 
really interesting cuz like 

390
00:24:18,400 --> 00:24:24,200
asset inventory is like the 
number one basic thing that, and

391
00:24:24,520 --> 00:24:27,760
the other thing is like these 
aren't like like, I guess 

392
00:24:27,760 --> 00:24:31,320
SolarWinds like you kind of were
like, oh, that's something maybe

393
00:24:31,320 --> 00:24:36,320
some people didn't know where it
was, but like big IP appliances 

394
00:24:36,680 --> 00:24:41,280
like these are like historically
targeted devices that you got to

395
00:24:41,280 --> 00:24:43,400
know like. 
Right. 

396
00:24:43,560 --> 00:24:50,400
If you you, I would have 
assumed, like if I worked in any

397
00:24:50,520 --> 00:24:54,520
government agency, I would have 
assumed that we had a bunch of 

398
00:24:54,520 --> 00:24:58,600
these somewhere. 
Like just by default, you know, 

399
00:24:58,840 --> 00:25:01,360
they almost certainly do. 
I can't imagine that there's any

400
00:25:01,360 --> 00:25:06,240
government agency in, in DC that
doesn't, you know, unless 

401
00:25:06,240 --> 00:25:07,880
they've like, ripped them out at
some point. 

402
00:25:07,880 --> 00:25:09,960
But I mean, it's ubiquitous 
stuff. 

403
00:25:09,960 --> 00:25:15,200
But it's yeah. 
Yeah, that's not great. 

404
00:25:15,720 --> 00:25:17,280
No, it's not. 
It's not. 

405
00:25:19,160 --> 00:25:22,160
The other thing I wanted to just
talk briefly about was like, 

406
00:25:22,160 --> 00:25:25,160
we've been doing these The 
Hacker Movie podcasts, which 

407
00:25:25,160 --> 00:25:29,040
have been super fun. 
The one we did this last this 

408
00:25:29,040 --> 00:25:32,040
past week that came out on 
Wednesday, Tuesday or Wednesday.

409
00:25:32,040 --> 00:25:36,160
I think it was real genius, 
which I loved in your first time

410
00:25:36,160 --> 00:25:38,840
watching that movie. 
And I got a lot of like, I don't

411
00:25:38,840 --> 00:25:40,880
know if you did, but a lot of 
feedback from people that were 

412
00:25:40,880 --> 00:25:43,120
like, how had Lindsay never seen
this movie? 

413
00:25:43,120 --> 00:25:47,640
It was so delightful, like 
listening to her talk about this

414
00:25:47,640 --> 00:25:49,600
after having watched it for the 
first time. 

415
00:25:50,120 --> 00:25:54,720
Caring like an innocent child. 
Completely. 

416
00:25:54,720 --> 00:25:56,640
Yeah. 
You're like, there's a dude that

417
00:25:56,640 --> 00:25:58,520
lives in the tunnels. 
I don't get it. 

418
00:26:00,440 --> 00:26:03,080
Yeah, that was great. 
I loved I. 

419
00:26:03,240 --> 00:26:06,040
What's funny is I I actually 
bought that movie, so I'm going 

420
00:26:06,040 --> 00:26:07,440
to go watch it again. 
Oh. 

421
00:26:07,440 --> 00:26:11,480
Hell yeah, I'd love that yes I 
own it for sure I own it on like

422
00:26:11,640 --> 00:26:15,440
AI probably have a couple copies
of it, but I just I rented it on

423
00:26:15,440 --> 00:26:19,840
Amazon just for like convenience
sake too just so I could watch 

424
00:26:19,840 --> 00:26:22,000
it but. 
Comfort movie. 

425
00:26:22,640 --> 00:26:25,040
It's so good. 
It's it's such a delight. 

426
00:26:25,040 --> 00:26:28,200
So if people haven't watched or 
listened to that episode, I 

427
00:26:28,200 --> 00:26:29,800
would encourage you to go check 
it out. 

428
00:26:29,800 --> 00:26:33,560
We had our friend Wendy Nether 
on, which is so great. 

429
00:26:33,560 --> 00:26:38,720
Just not just because Wendy is 
great, but she tells some really

430
00:26:38,880 --> 00:26:43,440
incredible stories. 
She was part of the, I guess you

431
00:26:43,440 --> 00:26:47,800
would call it hacker scene. 
I mean, she explains it, but in 

432
00:26:47,800 --> 00:26:53,600
the early 80s, early to mid 80s,
that is sort of portrayed in 

433
00:26:53,600 --> 00:26:57,560
real genius. 
And she knew the woman who the 

434
00:26:57,560 --> 00:27:00,520
character of Jordan was was 
pretty loosely based on. 

435
00:27:00,520 --> 00:27:06,240
But she Wendy's just got some 
great sort of stories about that

436
00:27:06,360 --> 00:27:11,360
time and some some explorations 
that they did that were pretty 

437
00:27:11,360 --> 00:27:14,080
funny. 
Her and her friends and yeah. 

438
00:27:15,000 --> 00:27:17,960
It was definitely some great 
background, I would say to the 

439
00:27:17,960 --> 00:27:20,720
movie. 
And I feel like you have, you 

440
00:27:20,720 --> 00:27:23,880
know, we've got a couple more of
these in the pipeline, you know,

441
00:27:23,880 --> 00:27:27,880
going down the road for in terms
of picking other movies. 

442
00:27:27,880 --> 00:27:31,960
So if people have, you know, 
things that they want us to talk

443
00:27:31,960 --> 00:27:35,480
about, specific movies or TV 
shows or anything, would love 

444
00:27:35,480 --> 00:27:38,040
to, we'd be open to it and want 
to continue this. 

445
00:27:39,160 --> 00:27:41,160
Yeah, absolutely. 
We have a spreadsheet with like 

446
00:27:41,440 --> 00:27:47,000
a very long list of of these 
movies and you know, we've done 

447
00:27:47,000 --> 00:27:49,160
sneakers and war games and real 
Genius already. 

448
00:27:49,160 --> 00:27:52,160
And there's a bunch of others 
that are, you know, considered 

449
00:27:52,160 --> 00:27:56,800
hacker movies, things like the 
Net and hackers, the Matrix, 

450
00:27:56,800 --> 00:27:59,080
things like that. 
But then, you know, the 

451
00:27:59,080 --> 00:28:02,400
definition gets a little looser 
after that with, you know, 

452
00:28:02,400 --> 00:28:05,840
things like Die Hard. 
And we do have Black Hat on 

453
00:28:05,840 --> 00:28:08,320
there, which is I don't have you
ever seen that? 

454
00:28:09,200 --> 00:28:13,560
I think I have a while ago. 
Is that with Chris Hemsworth? 

455
00:28:13,680 --> 00:28:16,280
Yes, yes. 
I think I saw it a while ago. 

456
00:28:16,320 --> 00:28:20,240
Yeah, we need like a bad hacker 
movie like offshoot. 

457
00:28:21,600 --> 00:28:26,600
We're going to do that. 
I mean, we've done, we did all 

458
00:28:26,600 --> 00:28:28,240
of those. 
You weren't you weren't involved

459
00:28:28,240 --> 00:28:34,480
in these, but we did a lot of 
these movies previously, me and 

460
00:28:34,480 --> 00:28:37,640
Pete Baker and Zoe Lindsay, 
usually with some some guests 

461
00:28:37,640 --> 00:28:39,760
like back in the day. 
And now we're we're redoing a 

462
00:28:39,760 --> 00:28:43,000
bunch of them. 
But we do have a long list and I

463
00:28:43,480 --> 00:28:46,640
I sent that list to a bunch of 
our friends too and said, hey, 

464
00:28:46,640 --> 00:28:49,960
if you have, if you want to come
on a on an episode, let me know.

465
00:28:49,960 --> 00:28:53,680
And people added a couple of 
other movies like Superman 3, 

466
00:28:53,680 --> 00:28:56,080
which I'm there's no way on 
earth you've seen that movie. 

467
00:28:56,160 --> 00:29:02,360
There's no way OK you if you, if
and when you watch it, you'll 

468
00:29:02,360 --> 00:29:06,920
understand why it's on there. 
But it's it's incredibly dated. 

469
00:29:06,920 --> 00:29:11,520
It's from like 1983, I think. 
But it's extremely goofy. 

470
00:29:11,520 --> 00:29:16,840
But there is, there is like a 
computer, computer aspect to it,

471
00:29:16,840 --> 00:29:19,920
which is quite funny. 
But there's other ones, you 

472
00:29:19,920 --> 00:29:23,400
know, like Independence Day and 
like Catch Me If You Can, which 

473
00:29:23,400 --> 00:29:25,600
is a great social engineering 
movie, obviously. 

474
00:29:26,240 --> 00:29:29,600
Yeah, I was going to say all the
social engineering movies like 

475
00:29:29,640 --> 00:29:31,800
Home Alone would be a good one. 
Around Christmas. 

476
00:29:32,920 --> 00:29:36,720
The Ferris Bueller's Day Off has
some good stuff in there. 

477
00:29:36,960 --> 00:29:40,640
Yeah, catch what you can. 
So I I think all that stuff is 

478
00:29:40,640 --> 00:29:42,000
really fun. 
Yeah. 

479
00:29:42,000 --> 00:29:45,480
Oh, Ferris Bueller's common we 
got, we got a special episode on

480
00:29:45,480 --> 00:29:46,800
that one. 
We've talked about that. 

481
00:29:47,960 --> 00:29:49,080
Yeah. 
Catch me if you can. 

482
00:29:49,080 --> 00:29:52,240
There was a it might have been 
probably right around the time 

483
00:29:52,240 --> 00:29:56,320
you started covering security. 
There was like a whole two to 

484
00:29:56,320 --> 00:30:01,320
three-year period where that guy
Frank Abingnail was like he was 

485
00:30:01,320 --> 00:30:04,200
just available at every hacker 
conference. 

486
00:30:04,600 --> 00:30:07,120
He was out there like giving 
keynotes and things. 

487
00:30:07,160 --> 00:30:09,800
It might have been maybe a 
little before your time, I'm not

488
00:30:09,800 --> 00:30:12,560
sure. 
But he was around like you would

489
00:30:12,560 --> 00:30:17,240
see him at like Black Hat or 
things like that. 

490
00:30:17,360 --> 00:30:22,000
Yeah, yeah, that's, that's kind 
of funny. 

491
00:30:22,040 --> 00:30:23,520
You're just like, all right, 
buddy. 

492
00:30:23,520 --> 00:30:25,640
I mean, I'm all for everybody 
getting their money. 

493
00:30:25,640 --> 00:30:29,880
But like, once you've heard his 
stories about like, yeah, OK, 

494
00:30:29,880 --> 00:30:31,720
you impersonated there and, 
like, got it, Got it, Got it, 

495
00:30:32,040 --> 00:30:34,880
Yeah. 
That's yeah, sounds about right.

496
00:30:35,320 --> 00:30:38,400
Sorry about your childhood. 
Yeah. 

497
00:30:42,000 --> 00:30:46,320
I feel like the there's also 
like some good TV shows too that

498
00:30:46,480 --> 00:30:50,080
that are worth and I don't know,
I feel like another cool thing 

499
00:30:50,080 --> 00:30:55,480
is like, you know, now with like
AI, like, yeah, there's a lot of

500
00:30:55,480 --> 00:31:00,160
movies that have like 
interesting philosophical takes 

501
00:31:00,160 --> 00:31:03,640
on AI and like machine learning 
and all that too. 

502
00:31:03,640 --> 00:31:07,000
And there's a little bit of a 
cybersecurity twist in it. 

503
00:31:07,000 --> 00:31:09,920
So I think that would be a cool 
angle to take to. 

504
00:31:10,520 --> 00:31:13,640
There's so many AI Movies Now, 
like just in the last probably 

505
00:31:13,640 --> 00:31:17,360
four years, we both watched this
absolute trash movie called 

506
00:31:17,360 --> 00:31:22,400
Heart of Stone that has Gal 
Gadot and I can't even remember 

507
00:31:22,400 --> 00:31:28,680
who else but her just in front 
of a green screen AI thing for 

508
00:31:28,680 --> 00:31:31,800
90. 
It's absolute nonsense. 

509
00:31:31,800 --> 00:31:33,360
There could not have been a 
script. 

510
00:31:33,360 --> 00:31:36,680
I don't we'll we'll do that at 
some point, but there's a lot of

511
00:31:36,680 --> 00:31:42,360
those, the most recent Mission 
Impossible movies too, all AI 

512
00:31:42,800 --> 00:31:47,120
based crap. 
But yeah, there's a lot of the 

513
00:31:47,200 --> 00:31:51,080
TV part of it. 
We we had talked about trying to

514
00:31:51,080 --> 00:31:55,400
do something with Mr. Robot when
that was still on, but we 

515
00:31:55,400 --> 00:31:57,000
couldn't really figure out a way
to. 

516
00:31:57,440 --> 00:31:59,920
I mean, I guess now that it's 
been off the air, like the whole

517
00:32:00,000 --> 00:32:04,040
series is completed and, you 
know, there's no real way to do 

518
00:32:04,040 --> 00:32:07,560
it episode by episode, but we 
could sort of talk about it in 

519
00:32:07,560 --> 00:32:09,120
general. 
Yeah. 

520
00:32:09,680 --> 00:32:12,360
You know, because there are 
people that we know who worked 

521
00:32:12,360 --> 00:32:16,880
on that show, which could be 
kind of fun to do. 

522
00:32:16,880 --> 00:32:19,680
It got pretty far away from the 
hacker stuff towards the end, 

523
00:32:19,680 --> 00:32:20,920
but. 
It did, yeah. 

524
00:32:21,280 --> 00:32:24,240
I think probably the first like 
3 episodes would be the best for

525
00:32:24,240 --> 00:32:27,200
that, but yeah, yeah. 
I remember when that started the

526
00:32:27,200 --> 00:32:30,360
first episode where he's just 
like, I thought it was going to 

527
00:32:30,360 --> 00:32:34,400
be kind of hacker of the week, 
like, you know, kind of ACSI 

528
00:32:34,680 --> 00:32:38,400
thing where he was just going to
go and take down, you know, like

529
00:32:38,400 --> 00:32:44,320
sort of soft blackmail, you 
know, criminals. 

530
00:32:45,280 --> 00:32:46,640
And I was like, oh, this will be
cool. 

531
00:32:46,680 --> 00:32:50,040
That sounds great, but it very 
clear, you know, very quickly 

532
00:32:50,040 --> 00:32:52,720
you're like, Oh no, that's not 
what this is at all. 

533
00:32:53,480 --> 00:32:56,520
This is real weird. 
This is some Doctor Jekyll and 

534
00:32:56,520 --> 00:33:00,640
Mr. Hyde type shit going on. 
Yeah, so good though. 

535
00:33:01,120 --> 00:33:02,400
It is. 
It's really good. 

536
00:33:03,960 --> 00:33:07,120
All right, before we go animal 
updates. 

537
00:33:07,840 --> 00:33:09,160
Yes, do. 
You do, I have. 

538
00:33:09,640 --> 00:33:13,920
Nope, don't have a dog yet, but 
some very important dog related 

539
00:33:13,920 --> 00:33:17,560
news. 
I was on a walk on the bike path

540
00:33:17,560 --> 00:33:22,320
in my town a few days ago and 
there's tons of dogs in there 

541
00:33:22,320 --> 00:33:25,720
all the time, always stopping to
pet them if they'll let me. 

542
00:33:26,400 --> 00:33:30,280
I met a little golden retriever 
puppy named Rigatoni. 

543
00:33:31,600 --> 00:33:33,240
Amazing name. 
I know. 

544
00:33:34,000 --> 00:33:37,640
I couldn't believe it because 
her owner kept calling her Tony.

545
00:33:37,640 --> 00:33:39,320
And I was like, oh, that's her 
name's Tony. 

546
00:33:39,320 --> 00:33:42,480
And she said Rigatoni. 
It was this older woman, like in

547
00:33:42,480 --> 00:33:44,360
her 70s, and she was so proud of
it. 

548
00:33:44,680 --> 00:33:48,800
Like Rigatoni. 
She's like, yes, I'd love it. 

549
00:33:49,040 --> 00:33:51,600
It's incredible. 
A+ name. 

550
00:33:51,800 --> 00:33:54,000
I'm going to have to steal that 
when we get Future. 

551
00:33:54,120 --> 00:33:56,480
When we get her second dog, 
whenever that is. 

552
00:33:56,680 --> 00:34:01,480
Yeah, yeah. 
So no dog for me, but I did meet

553
00:34:01,480 --> 00:34:04,360
Rigatoni, which is great. 
I loved him or her actually. 

554
00:34:04,600 --> 00:34:08,120
It was great. 
OK, on your end, you have a much

555
00:34:08,120 --> 00:34:12,960
more concerning animal update. 
Yes, well, I, I, I was talking 

556
00:34:13,040 --> 00:34:17,280
to you on Twitter about this, 
but I, we basically had what we 

557
00:34:17,280 --> 00:34:20,239
thought was a squirrel in our 
bathroom. 

558
00:34:20,920 --> 00:34:24,239
And we discovered it 1:00 AM. 
It was in it literally in the 

559
00:34:24,239 --> 00:34:27,719
toilet, still alive. 
Alive. 

560
00:34:27,719 --> 00:34:31,400
Yeah. 
And we were like, that's, you 

561
00:34:31,400 --> 00:34:34,040
know, really weird, but 
whatever. 

562
00:34:35,199 --> 00:34:40,840
And by the way, so I didn't see 
this alleged squirrel in there. 

563
00:34:40,880 --> 00:34:42,520
So he was like, oh, it was a 
squirrel. 

564
00:34:42,520 --> 00:34:48,000
Like it had a bushy tail. 
The next night we we were just 

565
00:34:48,000 --> 00:34:51,199
watching TV, my husband and I 
and we look over and on the 

566
00:34:51,199 --> 00:34:55,760
couch across the room there was 
another squirrel that he thought

567
00:34:55,760 --> 00:34:59,120
was a squirrel but Nope it was 
actually a rat. 

568
00:34:59,120 --> 00:35:03,680
It was not a squirrel. 
So we have a bit of a rat 

569
00:35:04,280 --> 00:35:11,240
infestation going on now. 
The tail was like slightly 

570
00:35:11,240 --> 00:35:15,560
furry, so I understood why he 
maybe thought it was a squirrel,

571
00:35:15,560 --> 00:35:17,760
but I was, I took one look at 
it. 

572
00:35:17,760 --> 00:35:19,280
I was like, that is not a 
squirrel. 

573
00:35:19,280 --> 00:35:25,160
That that. 
And yeah, we saw, we saw that 

574
00:35:25,160 --> 00:35:27,120
one. 
We saw another one, the other, 

575
00:35:27,240 --> 00:35:29,760
you know, at like 1:00 AM the 
same night. 

576
00:35:29,760 --> 00:35:34,960
So yeah, it's. 
We're dealing OK, All right. 

577
00:35:34,960 --> 00:35:40,840
This is both more concerning and
clears up a few things because I

578
00:35:40,840 --> 00:35:45,240
couldn't figure out how a 
squirrel had a gotten into your 

579
00:35:45,240 --> 00:35:48,720
house and B would want to be in 
the toilet. 

580
00:35:48,720 --> 00:35:51,120
I didn't know that. 
Didn't make a lot of sense to 

581
00:35:51,120 --> 00:35:53,000
me. 
Squirrels are dumb, but like 

582
00:35:54,760 --> 00:35:57,400
they they wouldn't. 
I don't consider them aquatic 

583
00:35:57,400 --> 00:35:59,080
creature. 
I couldn't imagine why he would 

584
00:35:59,080 --> 00:36:04,240
be in the toilet and. 
I like literally like Speaking 

585
00:36:04,240 --> 00:36:07,320
of CSI, like spent half the day.
I was like there we have like an

586
00:36:07,360 --> 00:36:09,600
air vent on the ceiling. 
So I was like, maybe it jumped 

587
00:36:09,600 --> 00:36:11,560
from the ceiling down into the 
toilet. 

588
00:36:11,560 --> 00:36:14,880
Like, yeah, I like measured out 
all the holes. 

589
00:36:15,080 --> 00:36:16,320
I was just like how? 
Did. 

590
00:36:16,320 --> 00:36:19,320
Oh yeah, yeah, I'm familiar with
that. 

591
00:36:21,040 --> 00:36:23,560
But the rat thing makes more 
logical sense. 

592
00:36:23,560 --> 00:36:27,840
Like from a animal perspective I
can understand how a rat gets 

593
00:36:27,840 --> 00:36:31,440
into a house and specifically a 
toilet. 

594
00:36:31,440 --> 00:36:34,560
I guess I don't know if you guys
have a septic tank or I'm the 

595
00:36:34,560 --> 00:36:37,160
sewer but if. 
Yes, we do. 

596
00:36:37,600 --> 00:36:42,160
OK, so the septic I don't know, 
but yeah, who knows? 

597
00:36:42,160 --> 00:36:44,440
Like, you know, we've had mice 
in our house. 

598
00:36:44,440 --> 00:36:45,840
Everybody get has mice in your 
house. 

599
00:36:45,840 --> 00:36:47,160
You're like, how do they even 
get in here? 

600
00:36:47,160 --> 00:36:49,920
I don't know. 
Who knows deal with mice. 

601
00:36:50,280 --> 00:36:54,880
I yeah, rats are different. 
This I'm going to next time I 

602
00:36:54,880 --> 00:36:58,240
see one, which I will, I'm going
to take a picture of it and 

603
00:36:58,240 --> 00:37:01,320
I'll, I'll post it on Twitter 
and people, yeah, please sells. 

604
00:37:01,320 --> 00:37:03,280
But I mean, I thought it was a 
rat. 

605
00:37:04,160 --> 00:37:07,360
You know, my husband still is 
like, I don't know a squirrel, 

606
00:37:07,360 --> 00:37:11,680
but I I definitely think it's 
not a squirrel, but it looks, 

607
00:37:11,720 --> 00:37:15,000
but it's like a mat, a mouse rat
basically like. 

608
00:37:16,240 --> 00:37:20,400
It's but it has a tail. 
Do you oh, do you think it's a 

609
00:37:20,400 --> 00:37:22,360
vole? 
Have you ever seen one of those?

610
00:37:22,880 --> 00:37:24,880
I so I that was one of my 
options. 

611
00:37:24,880 --> 00:37:27,840
I looked it up and I don't think
it's a vole. 

612
00:37:27,840 --> 00:37:31,840
It has like the body of a mouse,
like a very big mouse, but then 

613
00:37:31,920 --> 00:37:37,320
not like a rat tail. 
It's like a, it's like a furry 

614
00:37:37,440 --> 00:37:40,400
tail. 
I'm so confused by this. 

615
00:37:40,520 --> 00:37:43,480
So it's it's too bad this isn't 
a video episode. 

616
00:37:43,480 --> 00:37:46,040
Our faces are just like too 
much. 

617
00:37:47,160 --> 00:37:50,880
I have maybe one of our honest 
nurses got some thoughts on 

618
00:37:50,880 --> 00:37:52,800
this. 
There'll probably be like 40 

619
00:37:52,800 --> 00:37:54,880
people that'll be like, hey, 
dummies, it's this. 

620
00:37:56,480 --> 00:37:59,240
But I can't think of anything. 
I was going to have some 

621
00:37:59,240 --> 00:38:00,520
questions for your husband 
about. 

622
00:38:00,520 --> 00:38:03,800
Like squirrels and rats don't 
really look all that much alike 

623
00:38:04,120 --> 00:38:07,120
at all. 
That's that's why I was like, 

624
00:38:07,280 --> 00:38:10,400
that's, that's a rat. 
That's not a squirrel. 

625
00:38:11,560 --> 00:38:15,120
That's a rat, yeah. 
I'm not, I'm not afraid of 

626
00:38:15,120 --> 00:38:17,800
squirrels at all. 
I mean that they're stupid and I

627
00:38:17,800 --> 00:38:20,440
don't like them, but like rats, 
I wouldn't say I'm afraid of 

628
00:38:20,440 --> 00:38:21,920
them, but I don't want to be 
anywhere near them. 

629
00:38:22,120 --> 00:38:25,040
Like they're like, if you've 
ever walked down like in New 

630
00:38:25,040 --> 00:38:27,880
York City street or whatever, 
and you just see one and they're

631
00:38:27,880 --> 00:38:31,200
black and just like, this is the
most disgusting creature on 

632
00:38:31,200 --> 00:38:35,840
earth. 
I, yeah, I, I so I did, I looked

633
00:38:35,840 --> 00:38:38,720
at more pictures. 
I think the closest I could see 

634
00:38:38,720 --> 00:38:42,520
if people go look up this on 
their phone is a pack rat 

635
00:38:42,800 --> 00:38:46,640
because it kind of has like the 
body of a mouse, but then it has

636
00:38:47,280 --> 00:38:49,840
like a tail that's a little 
furry. 

637
00:38:49,840 --> 00:38:53,000
So. 
But then I saw that they're not 

638
00:38:53,000 --> 00:38:57,240
really native to Massachusetts, 
which is where I'm based, so. 

639
00:38:58,760 --> 00:39:00,560
I have to be honest, I'm not 
sure. 

640
00:39:00,560 --> 00:39:02,720
I did not know that a pack rat 
was a real thing. 

641
00:39:02,720 --> 00:39:06,520
I thought a pack rat was just 
like somebody who collects a 

642
00:39:06,520 --> 00:39:07,840
bunch of shit that they don't 
need. 

643
00:39:08,360 --> 00:39:12,320
It's an actual. 
OK, I know a. 

644
00:39:13,040 --> 00:39:16,040
Lot about rats right now. 
I've done extensive research. 48

645
00:39:16,040 --> 00:39:16,320
hours. 
Oh my. 

646
00:39:18,040 --> 00:39:22,720
God this is the nightmare. 
My you know my wife. 

647
00:39:22,720 --> 00:39:26,320
She would have sold our house in
1/2 an hour. 

648
00:39:27,560 --> 00:39:29,800
Yes, I did. 
Not, but you just moved into 

649
00:39:29,800 --> 00:39:35,320
your house, yeah. 
It's we set up so many traps 

650
00:39:35,320 --> 00:39:39,560
like we, we haven't called an 
exterminator, but we're going to

651
00:39:39,560 --> 00:39:42,920
see how, you know, last night 
went and they actually didn't 

652
00:39:42,920 --> 00:39:45,520
appear again last night. 
This was two nights ago that all

653
00:39:45,520 --> 00:39:50,800
this happened and went down but.
I assume you have not informed 

654
00:39:50,800 --> 00:39:53,080
your children of this. 
Have they seen this thing? 

655
00:39:53,560 --> 00:39:58,280
OK. 
We caught one on on sticky tape.

656
00:39:58,360 --> 00:40:00,720
I I don't know if like I'm going
to get cancelled for talking 

657
00:40:00,720 --> 00:40:03,000
about the ways that. 
These I have glue traps. 

658
00:40:03,480 --> 00:40:07,240
Get out of here with that. 
But so we, we kind of like hid 

659
00:40:07,240 --> 00:40:08,920
that from them. 
But yeah, they're they're 

660
00:40:08,920 --> 00:40:12,400
blissfully unaware right now. 
That's good. 

661
00:40:12,400 --> 00:40:14,760
Yeah. 
I told you we had like, this is,

662
00:40:14,880 --> 00:40:19,360
we've been in our house a very 
long time, like 15, almost 20 

663
00:40:19,360 --> 00:40:21,880
years ago probably. 
We had a bat in our house. 

664
00:40:22,520 --> 00:40:23,400
We. 
No. 

665
00:40:23,640 --> 00:40:27,120
Oh, yeah, I, we have a ceiling 
fan in our bedroom. 

666
00:40:27,240 --> 00:40:32,640
I woke up in the middle of the 
night one night and looked up 

667
00:40:32,640 --> 00:40:35,840
and I, you know, just kind of 
rolling over and I saw something

668
00:40:35,840 --> 00:40:38,080
just flying around the ceiling 
fan. 

669
00:40:38,080 --> 00:40:41,280
I was in the middle of the 
summer and just saw it. 

670
00:40:41,280 --> 00:40:46,320
And I was like, Oh my God. 
And the like, the only thing 

671
00:40:46,320 --> 00:40:48,680
people know about bats is that 
they're like, they follow 

672
00:40:48,680 --> 00:40:50,320
motion, right? 
So I was like, that's got to be 

673
00:40:50,320 --> 00:40:52,560
a bat. 
I turn on the light. 

674
00:40:52,560 --> 00:40:56,240
I was like, Oh my God, turn the 
light back off real quick. 

675
00:40:56,360 --> 00:41:00,800
Like kind of woke my wife up and
was like, don't freak out. 

676
00:41:00,800 --> 00:41:05,360
But and you know, she somehow 
like didn't freak out and got 

677
00:41:05,360 --> 00:41:07,880
out of the room. 
We both got out of the room and 

678
00:41:08,480 --> 00:41:13,800
I opened the bedroom window and 
then we just left the room and 

679
00:41:13,800 --> 00:41:16,400
eventually didn't see the bat 
anymore. 

680
00:41:16,400 --> 00:41:20,160
But for like weeks after that. 
Or because you read so anything 

681
00:41:20,160 --> 00:41:22,640
online and they're just like, Oh
no, they could be hiding in your

682
00:41:22,640 --> 00:41:25,240
walls. 
They can they can squish down 

683
00:41:25,240 --> 00:41:30,760
into the size of like, you know,
a tiny little thing and crawl 

684
00:41:30,760 --> 00:41:33,400
into. 
I was like just kept waiting for

685
00:41:33,400 --> 00:41:34,720
it to. 
Yeah, exactly. 

686
00:41:35,720 --> 00:41:37,440
You feel. 
Like itchy like that. 

687
00:41:37,440 --> 00:41:38,160
Oh, I know. 
Yeah. 

688
00:41:38,840 --> 00:41:41,160
But there's like a million ways 
that a back can get in your 

689
00:41:41,160 --> 00:41:43,200
house, apparently. 
Like, it's not usually through 

690
00:41:43,200 --> 00:41:44,960
an open window. 
It's probably your attic or 

691
00:41:44,960 --> 00:41:47,600
something like that, which 
totally makes sense. 

692
00:41:47,600 --> 00:41:49,000
Went and checked out the attic, 
did all that. 

693
00:41:49,000 --> 00:41:55,840
But yeah, that was not a fun 
like 4 hours, like 2 in the 

694
00:41:55,880 --> 00:41:57,320
morning and. 
The worst part is when you have 

695
00:41:57,320 --> 00:41:59,920
to go in there and you're like, 
you have to make sure that it's 

696
00:41:59,920 --> 00:42:03,360
gone and you're you go in and 
you're like, is it gone? 

697
00:42:04,160 --> 00:42:06,400
Oh, yeah. 
And they will. 

698
00:42:06,880 --> 00:42:11,200
As I discovered, it was like 
sitting on like, the curtains by

699
00:42:11,200 --> 00:42:14,160
the wind. 
You just like, oh, yeah. 

700
00:42:14,160 --> 00:42:16,920
And our kids were really young 
at the time, so it was just, you

701
00:42:16,920 --> 00:42:20,480
know, we didn't tell them till 
much later in their lives. 

702
00:42:22,960 --> 00:42:26,240
Oh, that's so gross. 
Yeah, it was not great, not 

703
00:42:26,240 --> 00:42:30,560
ideal, but yeah, maybe you send.
We should post a picture of 

704
00:42:30,560 --> 00:42:32,160
whatever it is that you 
eventually find. 

705
00:42:32,960 --> 00:42:35,680
I need to do it. 
I'm going to keep my phone handy

706
00:42:35,680 --> 00:42:37,200
in case I come. 
Across. 

707
00:42:37,200 --> 00:42:38,600
I'm sure I want to see it for 
sure. 

708
00:42:39,080 --> 00:42:41,040
Yeah. 
I'm a little like, I'm really 

709
00:42:41,040 --> 00:42:44,360
confused by your husband's 
assessment of it as a squirrel. 

710
00:42:46,160 --> 00:42:49,800
Maybe it was just like hopeful. 
Oh yeah, it's just a squirrel. 

711
00:42:49,800 --> 00:42:50,600
It's fine. 
I. 

712
00:42:50,720 --> 00:42:52,960
Think it was just like hopeful 
wishing. 

713
00:42:53,120 --> 00:42:55,480
Yeah, exactly. 
Wish casting. 

714
00:42:55,560 --> 00:42:57,800
Yeah, it is totally harmless. 
Yeah. 

715
00:42:58,720 --> 00:43:01,080
Oh God. 
OK, well, that's been Animal 

716
00:43:01,080 --> 00:43:05,080
Corner with Dennis and Lindsay 
anyway. 

717
00:43:05,120 --> 00:43:08,200
OK, that was fun. 
We'll we'll keep everyone 

718
00:43:08,200 --> 00:43:11,560
updated on the wildlife and also
security. 

719
00:43:12,080 --> 00:43:16,080
So, yeah. 
And have a good weekend all. 

720
00:43:16,400 --> 00:43:17,320
Right, you too see. 
Ya, bye.

