Latest / Challenges of Faith Radio Program / What specific locations are Flock located in ? Ep 3395

Transcript

What specific locations are Flock located in ? Ep 3395 · Challenges of Faith Radio Program

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  Speaker 1: Welcome back to the Challenges of Faith radio program. I'm
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  Speaker 1: Gary McCann. The question is here today on episode 3395,
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  Speaker 1: is flock situated more in black communities? Well, we'll look
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  Speaker 1: into that today. But before I begin today's discussion, I
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  Speaker 1: want to introduce to you McCann's Investigations and Securities. which
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  Speaker 1: is a private investigative and security business. While you listen
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  Speaker 1: to the program, also think about how McCann's Investigations and
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  Speaker 1: Security can provide some form of protection for you, your
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  Speaker 1: loved ones, your place of worship, your business, your organization,
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  Speaker 1: or your community. And now to today's topic. According to
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  Speaker 1: Cyber News, There was a recent study that was done
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  Speaker 1: as it relates to states here in the United States
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  Speaker 1: with larger black populations that tend to have more flock cameras.
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  Speaker 1: Say what? Cyber News investigates which demographic and economic factors
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  Speaker 1: influence the prevalence of flock cameras in the United States
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  Speaker 1: and counties. And some of the key takeaways that they
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  Speaker 1: had was at the state level how that the share
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  Speaker 1: of the black population was the only demographic variable significantly
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  Speaker 1: associated with flock camera density. At the county level, higher
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  Speaker 1: shares of Hispanic, Latino, and Native American populations were significantly
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  Speaker 1: associated with higher camera density. Also at the county level,
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  Speaker 1: each percentage point decrease in the poverty rate was associated
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  Speaker 1: with roughly a 4.3 increase in cameras per capita. That
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  Speaker 1: means that there are now almost three times more flock
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  Speaker 1: cameras in the United States than there are at Walmarts, McDonald's, Starbucks,
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  Speaker 1: and Dunkin' locations combined. The number of flock cameras is
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  Speaker 1: roughly equivalent to the number of K-12 schools nationwide. Flock
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  Speaker 1: cameras versus schools are a major change. And because flock
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  Speaker 1: camera count comes from a crowdsourced public map, dflock.org, that's D-E,
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  Speaker 1: capital F-L-O-C-K dot O-R-G, the real number of flock cameras
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  Speaker 1: is almost certainly higher. What's interesting is in this report,
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  Speaker 1: the CyberNews research team looked at whether or not demographic
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  Speaker 1: and economic factors like race, and income correlate with flock
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  Speaker 1: camera density in the United States and counties. What they
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  Speaker 1: did was use two different statistical methods to examine the
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  Speaker 1: relationship between flock camera density and demographic and economic factors.
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  Speaker 1: They first used Pearson's correlation, which measures whether two variables
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  Speaker 1: tend to move together. For example, whether states with a
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  Speaker 1: higher share of black residents also tend to have more
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  Speaker 1: flock cameras per resident. And those were simple, one variable
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  Speaker 1: at a time relationships and do not account for other factors.
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  Speaker 1: And second, they used multivariate regression to compare counties within
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  Speaker 1: the same state while controlling for multiple factors at once,
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  Speaker 1: including population density, income, poverty, and demographic variables. And that
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  Speaker 1: helped account for differences between the states and showed whether
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  Speaker 1: a relationship remains after other factors were held constant. What
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  Speaker 1: was further interesting is that those two approaches answered different questions.
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  Speaker 1: So a relationship found in the state-level correlation analysis did
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  Speaker 1: not necessarily appear in the county-level regression. Say what? So
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  Speaker 1: what happened was CyberNews, where they were comparing state by
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  Speaker 1: state the share of residents who were black, was the
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  Speaker 1: only demographic variable in the analysis with the statistically important
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  Speaker 1: relationship to camera densities, states with higher black population shares
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  Speaker 1: tend to have more cameras per person. Did you hear that?
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  Speaker 1: You sure? They went on to say that the correlation
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  Speaker 1: coefficient was rather modest at 0.34, and in no way
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  Speaker 1: Did their study imply causation? He said, it's important to
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  Speaker 1: note that this is between state pattern, not evidence, that
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  Speaker 1: counties and neighborhoods with more black residents are targeted. Once
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  Speaker 1: counties were compared against other counties in the same state,
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  Speaker 1: the relationship between black population and camera density was no
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  Speaker 1: longer statistically important. County-level multivariate Regression, Hispanic and Native American
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  Speaker 1: shares linked to higher camera density. What CyberNews pointed out
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  Speaker 1: was that using multivariate regression that they found three statistically
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  Speaker 1: important relationships. Within the same state, counties with a larger
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  Speaker 1: Hispanic-Latino population share in counties with a larger Native American
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  Speaker 1: population share tended to have more map cameras per resident.
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  Speaker 1: even after accounting for population density, income, poverty, and other
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  Speaker 1: demographic factors. Each additional percentage point of Hispanic-Latino population share
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  Speaker 1: was linked to roughly 1.7% increase in cameras per capita,
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  Speaker 1: and each additional point of Native American population share was
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  Speaker 1: linked to roughly a 1.8% increase. Wow. But there was
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  Speaker 1: also a statistically important relationship between poverty levels and flock
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  Speaker 1: camera density in counties. What they showed was that each
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  Speaker 1: percentage point decrease in the county's poverty rate was associated
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  Speaker 1: with roughly a 4.3 increase in cameras per capita. As
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  Speaker 1: I grab a sip of my water. Excuse me, you
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  Speaker 1: don't mind, do you? I know you didn't. But cyber
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  Speaker 1: news indicates that the analysis couldn't establish why, and that
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  Speaker 1: it did not prove that those demographics and economic factors
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  Speaker 1: influenced camera installations. Say what? They said that road network,
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  Speaker 1: local funding, municipal procurement, border and transit routes, and law
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  Speaker 1: enforcement priorities could all play a role. and that those
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  Speaker 1: patterns could be subject to further investigation but are inconclusive
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  Speaker 1: in themselves. And the larger question was, automated license plate
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  Speaker 1: readers could help locate stolen vehicles, identify wanted suspects, and
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  Speaker 1: support investigation. But they also created unprecedented ability to record
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  Speaker 1: the movement of ordinary people at scale. With data breaches
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  Speaker 1: being so common, if Flock gets hacked, what are the
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  Speaker 1: dangers of such a wide surveillance network being exposed? Have
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  Speaker 1: you thought about it? Well, the head of security at
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  Speaker 1: Platform Engineering at MediaTek, which is the public house behind CyberNews,
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  Speaker 1: warned that if a surveillance network this large was ever compromised,
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  Speaker 1: the consequences would be catastrophic. Foreign intelligence services could potentially
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  Speaker 1: use it to track the movements of government employees, see
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  Speaker 1: where they regularly go, who they spend time with, and
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  Speaker 1: so forth. Stalkers could potentially use the system to track
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  Speaker 1: their victims. Burglars could use it to work out when
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  Speaker 1: someone leaves home and how long they tend to be away.
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  Speaker 1: And unlike a leaked password, if this information gets exposed,
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  Speaker 1: it's not an easy fix. You can change your password,
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  Speaker 1: but you can't change when you leave for work because
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  Speaker 1: these places are where you regularly visit and when you're
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  Speaker 1: usually away from home. And then there was a large issue,
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  Speaker 1: is the network size and the number of organizations connected
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  Speaker 1: to it. Flock says agencies control which other agencies can
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  Speaker 1: access their data and participation in broader network sharing is optional.
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  Speaker 1: But thousands of law enforcement agencies are connected to the system.
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  Speaker 1: And some agencies share their data with large numbers of
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  Speaker 1: other departments, and that means the attack surface isn't limited
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  Speaker 1: to Flock as a company itself. Compromising a single agency
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  Speaker 1: with broad access could expose a very large surveillance network.
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  Speaker 1: And if this surveillance network does get compromised, it's possible
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  Speaker 1: that it wouldn't be detected and threat actors could just
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  Speaker 1: use the network in secrecy Were you aware of that?
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  Speaker 1: I'm sure you are. Are you not? You sure? All right. Well, listen,
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  Speaker 1: I hope you found today's discussion educational and informative. I
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  Speaker 1: can't say it was inspiring now. Challenges of Faith radio
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