What specific locations are Flock located in ? Ep 3395

0:00Welcome back to Challenges of a Radio Program I'm Geary McCanns. The question is here today on episode 3395 is, flock situated more in black communities? Well, well, looking to that today. But before I begin today's discussion, I'm going to introduce to you McCanns Investigations and Security, which is a private investigative and security business. While you listen to the program, also think about how McCanns Investigations and Security can provide some form of protection for you, your loved ones, your place of worship, your business, your organization, or your community, and now until today's topic. According to Cyber News, there was a recent study that was done as released as states

1:00here in the United States with larger black populations that tend to have more flock cameras, say what? Cyber News Investigates which demographic and economic factors influence the prevalence of flock cameras in the United States and counties. Some of the key takeaways that they have is at the state level how they share the black population with the only demographic variable significantly associated with flock camera density. At the county level, higher shares of Hispanic, Latino, and Native American populations were significantly associated with higher camera density. So at the county level, each percentage point decreased in the poverty rate. It was associated with roughly a 4.3 increase in cameras per capita. That means that there are now almost three times more flock cameras in the United States

2:04than there are Wal-Mart, McDonald's, Stark-Buds, and Duncan Locations combined. The number of flock cameras is roughly equivalent to the number of K-12 schools nationwide. Flot cameras versus schools are made to change. And because flock camera comes from a crowdsource public map, map dflog.org, that's d-e capital f-l-o-c-k dot org, the real number of flock cameras is almost certainly higher. What's interesting is in this report, the Cyber News Research Team looked at whether the demographic and economic factors like race and income correlate with flock camera density in the United States and counties. What they did was use two different statistical methods to examine a relationship between flock camera density and demographic and economic factors.

3:06They first used Pearson's correlation, which measures whether two variables tend to move together. For example, whether states with a higher share of black residents also tend to have more flock cameras per resident. And those were simple. One variable at a time, relationships, and do not account for other factors in second. They used multivariate regress into compare counties within the same state while controlling for multiple factors at once, including population density, income, poverty, and demographic variables. And that helped account for differences between the states and showed whether a relationship remains after other factors were held constant. What was further interesting is that those two approaches answered different questions. So a relationship found in a state-level correlation analysis didn't unnecessarily appear in the county-level regression. Say what?

4:08What happened was cyber news where they were comparing state by state to share residents who were black. Was the only demographic variable in the analysis with the statistically important relationship to camera densities. States with higher black population shares tend to have more cameras per person. Did you hear that? You sure? They went on to say that the correlation coefficient was rather modest as 0.34. And in no way did their study imply causation? They said, it's important to note that this is between state pattern and not evidence that counties of neighborhoods with more black residents are targeted. Once counties were compared against other counties in the same state, the relationship between black population and camera density was no longer statistically important.

5:16County-level multi-bend regression, Hispanic and Native American shares linked to higher camera density. What cyber news pointing out was that using multivariate regression that they found three statistically important relationships. Within the same state counties with the largest Spanish Latino population, sharing counties with the larger Native American population, share tended to have more map cameras per resident, even after accounting for population density, income, poverty, and other demographic factors. Each additional percentage point of Hispanic Latino population share was linked to roughly 1.7% increase in cameras per capita. And each additional point of Native American population share was linked to roughly a 1.8% increase. Wow. Well, there was also a statistically important relationship between poverty levels and flock

6:18camera density and counties. What they show was that each percentage point decrease in the county's poverty rate was associated with roughly a 4.3 increase in cameras per capita as I grab a sip of water. Excuse me, you don't mind me. I know you didn't. We get cyber news indicate that the analysis couldn't establish why. And it did not prove that those demographics and economic factors influence camera installation say what? They said that road network, local funding, municipal procurement, border and transfer routes and long footed priorities could all play a role. And that those patterns could be subject to further investigation but are anything inclusive in themselves.

7:19And the larger question was, automated license plate readers? Could help locate stolen vehicles, identify one suspects and support investigation? But they also created unprecedented abilities to record the movement of ordinary people at scale. Some data breaches being so common if flock gets hacked, whether the dangers of such a wise surveillance network being exposed. Have you thought about it? Well the head of security at platform engineering at Media Tech, which is a bubbling house behind cyber news, warned that if a surveillance network this large was ever compromised, the consequences would be catastrophic. Foreign intelligence services could potentially use it to track the movements of government employees. See whatever they regularly go, who they spend time with and so forth. Stockers could potentially use assistant to track their victims.

8:20Burglars could use it to work out when someone leads home and how long they tend to be away. And unlike a leak pass where if this information gets exposed, it's not an easy fix. You can change your password, but you can't change when you leave for work because these places where you regularly visit and when you're usually away from home. And then it was a large issue as a network size and a number of organizations connected to it. Flots says agencies control which other agencies can access their data and participation and brought a network sharing is optional. For thousands of law enforcement agencies are connected to the system. Some agencies share their data with large numbers of other departments and that means the attack service is limited to flock as a company itself. Compromising the single agency with broad access could expose a very large surveillance network.

9:21And if this surveillance network does get compromised, it's possible that it wouldn't be detected and threat actors could just use the network and secrecy where you're aware of that. I'm sure you are. Are you not? Are you sure? All right. Well, listen, I hope you found today's discussion, education, and informative. I can't say it was inspiring now. Challenges of favoritio programs sponsored by McKinsey Investigations and Security. A business that provides a through Z background checks missing persons, civil criminal corporate investigations that uncover the facts that database algorithms miss. McKinsey Investigations Security also provides security consultations so that you are able to better safeguard security of safety assets, property, and community.

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