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11 Oct 2024 - 10:54 pm

The WNBA is having a real moment - Caitlin Clark and the league’s historic season by the numbers
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When many of us hear the “Fall Classic,” we automatically think of baseball’s World Series. I’m not sure that will be the case for future generations.

Yes, I’m being somewhat provocative with that line, but the WNBA Finals have arrived on the heels of what can only be described as a historic season for the league. Across a metric of statistics, it’s clear that America’s interest in the WNBA is at the highest point this century in large part because of Indiana Fever star Caitlin Clark.

Let’s start simple: Google searches. They’ve been higher this WNBA season, starting with the draft in April, than at any point since we’ve had data (2004). Searches for the WNBA are up over 300% compared to last season, up over 850% compared to five seasons ago, and have risen nearly 1,400% from a decade ago.

That is, the WNBA has been rising, and this year it really took off.
This interest has translated into revenue for the league. Attendance is up a staggering 48% from 2023. There wasn’t a single team with an average regular season home attendance of five figures (10,000+) in 2023. This season, there were six.

Leading the charge was Clark’s Fever. A little more than 4,000 people attended their average game in 2023, which ranked them second to last. This season, more than 17,000 did, a 319% rise that put them far and away ahead of any other WNBA team and ahead of five NBA teams, including the hometown Indiana Pacers.

We see the same pattern in merchandise. Sales are up 600% from last year. This includes the boost from rookie sensations Clark, who had the best-selling jersey, and Angel Reese of the Chicago Sky, who had the second-best-selling jersey.

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Brianemign

11 Oct 2024 - 09:25 pm

Hong Kong plans to install thousands of surveillance cameras. Critics say it’s more proof the city is moving closer to China
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Glance up while strolling through parts of downtown Hong Kong and, chances are, you’ll notice the glassy black lens of a surveillance camera trained on the city’s crowded streets.

And that sight will become more common in the coming years, as the city’s police pursue an ambitious campaign to install thousands of cameras to elevate their surveillance capabilities.

Though it consistently ranks among the world’s safest big cities, police in the Asian financial hub say the new cameras are needed to fight crime – and have raised the possibility of equipping them with powerful facial recognition and artificial intelligence tools.

That’s sparked alarm among some experts who see it as taking Hong Kong one step closer to the pervasive surveillance systems of mainland China, warning of the technology’s repressive potential.

Hong Kong police had previously set a target of installing 2,000 new surveillance cameras this year, and potentially more than that each subsequent year. The force plans to eventually introduce facial recognition to these cameras, security chief Chris Tang told local media in July – adding that police could use AI in the future to track down suspects.
In a statement to CNN, the Hong Kong Police Force said it was studying how police in other countries use surveillance cameras, including how they use AI. But it’s not clear how many of the new cameras may have facial recognition capabilities, or whether there’s a timeline for when the tech will be introduced.

Tang and the Hong Kong police have repeatedly pointed to other jurisdictions, including Western democracies, that also make wide use of surveillance cameras for law enforcement. For instance, Singapore has 90,000 cameras and the United Kingdom has more than seven million, Tang told local newspaper Sing Tao Daily in June.

While some of those places, like the UK, have started using facial recognition cameras, experts say these early experiments have highlighted the need for careful regulation and privacy protections. Hong Kong police told CNN they would “comply with relevant laws” and follow strong internal guidelines – but haven’t elaborated in depth on what that would look like.

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