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- Per-Episode Audience
Est. listeners per new episode within ~30 days
1 - 1,000 - Monthly Reach
Unique listeners across all episodes (30 days)
1 - 5,000 - Active Followers
Loyal subscribers who consistently listen
1 - 500
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On the show
Recent episodes
Does immigration enforcement reduce crime?
Apr 22, 2026
33m 35s
Why am I seeing so many sports gambling ads? (a.k.a. The Kalshi Question)
Apr 8, 2026
38m 40s
Who decided my dog is ‘too big’ for my home?
Mar 25, 2026
27m 59s
Can we get better at measuring homelessness?
Mar 11, 2026
31m 49s
What is the poverty line? And why does it matter?
Feb 25, 2026
28m 22s
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| Date | Episode | Description | Length | |
|---|---|---|---|---|
| 4/22/26 | Does immigration enforcement reduce crime? | Immigration enforcement, and specifically Immigrations and Custom Enforcement, have taken center stage in President Trump's second term. The president has tied immigration to crime, and claims immigration enforcement will reduce crime. But data shows that immigrants are less involved in crime than U.S. citizens, and there's little evidence that enforcement of immigration laws shifts crime rates. | 33m 35s | |
| 4/8/26 | Why am I seeing so many sports gambling ads? (a.k.a. The Kalshi Question) | Sports gambling has skyrocketed in the past five years. Now, prediction markets like Kalshi allow people to bet on anything, posing legal and moral questions that do not yet have answers. | 38m 40s | |
| 3/25/26 | Who decided my dog is ‘too big’ for my home? | Only 11 percent of rental units in the United States allow “big” dogs – but what does that mean? Is a labrador a big dog? How about a pit bull? And why does your landlord care so much, anyway? Inspired by the story of one dog who ran afoul of an HOA rule, Clare tells Teo why so many dogs end up booted from loving homes to shelters and how advocates are trying to stop it. We want to answer your questions about how our world works! Click here to submit a question using our online form, or email the team at ControlF@kuow.org Support the show by supporting our home, KUOW Public Radio in Seattle. Sources in this episode: Data on dog weights from Washington State University Veterinary Teaching Hospital Data analysis on pet restrictions in housing from the Pet Inclusive Housing Initiative, based on Smart Apartment Data 2025 State of Shelter Pet Adoption Report, The Association for Animal Welfare Advancement Pets & Housing Data 2025 Edition, Pet-Inclusive Housing Initiative Interview with Dr. Jessica Bell, Veterinarian and professor at Washington State University’s College of Veterinary Medicine Interview with Alexandra Alvarado, American Apartment Owner’s Association Interview with Ross Barker, lead of the Pet Inclusive Housing Initiative Interview with Tor Berg, Poochie’s dad See omnystudio.com/listener for privacy information. | 27m 59s | |
| 3/11/26 | Can we get better at measuring homelessness? | Someone who has to survive without a regular place to sleep at night is vulnerable to danger, illness, and the more insidious harm of being shunned. One way to quantify the harm caused by homelessness is to understand how many people are experiencing it. How do we do that? We try to count them, and one city is leading the charge on a new approach. Teo tells Clare how it could change our view of our unhoused neighbors. We want to answer your questions about how our world works! Click here to submit a question using our online form, or email the team at ControlF@kuow.org Support the show by supporting our home, KUOW Public Radio in Seattle. Sources in this episode: Annual Homelessness Assessment Report, Department of Housing and Urban Development, 2024 Full Point-in-Time Counts, Housing, Infrastructure, and Communities Canada Point-in-Time Count Underway, King County Regional Homelessness Authority Point-in-Time Count presentation, King County Regional Homelessness Authority Evaluation of Respondent-Driven Sampling prevalence estimators using real-world reported network degree, Lisa Avery and Michael Rotondi, Sage Journal Point-in-Time Count: Volunteer training, Texas Homeless Network, 2020 Point-in-Time Count standards and methodologies training, Department of Housing and Urban Development, 2018 Interview with Maria Arnes, PIT volunteer, 2026 Interview with Jack Almquist, University of Washington, 2026 Interview with William Towey, King County Regional Homelessness Authority, 2026 Interview with Ann Oliva, National Alliance to End Homelessness, 2025 See omnystudio.com/listener for privacy information. | 31m 49s | |
| 2/25/26 | What is the poverty line? And why does it matter? | The Poverty Line decides who qualifies for benefits like Medicaid, food stamps and many other government programs. But the way we calculate poverty in the United States hasn't changed in 60 years. | 28m 22s | |
| 2/11/26 | Why does health care cost so much in the United States? | Healthcare costs are higher in the United States than any other country, thanks to a complex system of healthcare providers, insurers and patients that keep prices high. | 29m 48s | |
| 1/28/26 | How did we get so good at predicting the weather? | Two journalists explain how weather forecasting works, and how it has developed over the last 65 years into a more precise prediction than ever before. | 24m 50s | |
| 1/14/26 | What does your credit score really say about you? | Two journalists explain the history of credit scores, how credit scores are calculated and the complex ways that financial data impacts our daily lives. | 27m 20s | |
| 1/2/26 | Introducing Control F, a podcast about the hidden data that influences our lives | Control F is a podcast about data — hard, fuzzy, surprising, and sometimes unreliable data — and all the ways it influences our daily lives. In each episode, we dig deep on a topic and search through research, algorithms, and assumptions to bring you insights on how stuff works. In a world ruled by numbers, Control F reads between the (spreadsheet) lines to find the bigger story. Control F launches on January 14, with new episodes every other week. See omnystudio.com/listener for privacy information. | 2m 08s |
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