What is Filtering?-এর সম্পূর্ণ প্রতিলিপি

provide the local insight and resources you need to keep your business moving forward. 21 00:02:04,664.92439442 --> 00:02:08,494.92431813 Experience the difference of working with a bank that understands Minnesota communities. 22 00:02:08,884.92418461 --> 00:02:10,374.92443257 Visit csbnet.net 23 00:02:10,634.92418461 --> 00:02:13,804.92473775 to learn how Citizens State Bank can help you achieve your goals. 24 00:02:14,12.22639353 --> 00:02:15,32.2263372 Member FDIC. 25 00:02:15,172.99772709 --> 00:02:16,252.99774206 Equal Housing Lender. 26 00:02:16,446.19472805 --> 00:02:24,746.19461331 Thanks to Citizens State Bank for backing this podcast and helping us bring valuable industry insights to Minnesota and beyond Week after week. 27 00:02:30,983.22990298 --> 00:02:34,183.22995066 Alright—now that we’ve framed the question, let’s really dig in. 28 00:02:34,773.22986483 --> 00:02:44,872.27705355 What is filtering, and why does it matter so much for Minnesota right now? And to be clear, when we talk about filtering today, we’re not just talking about theory or talking points. 29 00:02:45,342.27732058 --> 00:02:48,292.27712984 We’re talking about real, documented housing behavior. 30 00:02:48,630.67383147 --> 00:02:56,260.67394591 The research at the center of this comes from a study called “The Effect of New Market-Rate Housing Construction on the Low-Income Housing Market.” 31 00:02:56,820.67341186 --> 00:03:00,270.67417479 It was done by Evan Mast, an economist with the W.E. 32 00:03:00,510.67394591 --> 00:03:02,720.67398406 Upjohn Institute for Employment Research. 33 00:03:03,144.31640432 --> 00:03:04,794.31638047 And that’s important to say out loud. 34 00:03:05,364.31643293 --> 00:03:10,324.31623265 It’s academic research that looks at what actually happens after new apartments get built. 35 00:03:10,804.08600341 --> 00:03:20,774.08627043 Instead of just looking at rent averages or census snapshots, he followed real people—tracking tens of thousands of actual address changes across large metro areas. 36 00:03:21,314.93904572 --> 00:03:22,894.93906069 So he wasn’t guessing who MIGHT move. 37 00:03:23,214.93899394 --> 00:03:24,734.93909407 He was tracking who DID move. 38 00:03:24,967.81574095 --> 00:03:25,237.81575168 Right. 39 00:03:25,357.81572665 --> 00:03:29,7.81570281 He followed households who moved into new market-rate apartment buildings. 40 00:03:29,569.8394879 --> 00:03:31,709.83935439 Then he looked at where those households lived before. 41 00:03:32,166.66045007 --> 00:03:34,786.66033563 Then he looked at who moved into those vacated units. 42 00:03:35,193.07685359 --> 00:03:36,513.07750209 And then who moved after that. 43 00:03:36,910.54919931 --> 00:03:38,980.54913255 That chain of moves—that’s filtering. 44 00:03:39,698.04919931 --> 00:03:43,48.04910394 And once you see it laid out like that, it makes a lot of sense. 45 00:03:43,548.04910394 --> 00:03:45,838.04906579 Because nobody just appears in a new

apartment. 46 00:03:46,288.04887506 --> 00:03:47,998.04939004 They’re always coming from somewhere else. 47 00:03:48,498.04939004 --> 00:03:54,628.04923813 And what’s important for our listeners here in Minnesota—this isn’t just some abstract national idea. 48 00:03:55,293.04939071 --> 00:03:58,643.04929535 The Federal Reserve Bank of Minneapolis has looked at this too. 49 00:03:59,143.04929535 --> 00:04:06,183.0492572 In 2024, the Minneapolis Fed published a piece called “How New Apartments Create Opportunities for All.” 50 00:04:06,833.04935257 --> 00:04:09,613.04956238 And it reaches the same conclusion using local data. 51 00:04:10,255.54929535 --> 00:04:16,95.54944794 Their research shows that when new apartments get built—even market-rate ones—it frees up housing across the market. 52 00:04:16,395.54916183 --> 00:04:17,115.54942886 People move. 53 00:04:17,375.54918091 --> 00:04:18,285.54902832 Units open up. 54 00:04:18,595.54944794 --> 00:04:19,615.54895202 Pressure eases. 55 00:04:20,115.54895202 --> 00:04:29,45.54878036 In a market like the Twin Cities—where vacancy is tight almost everywhere—that kind of movement can be the difference between a waitlist and an actual option. 56 00:04:29,903.04874155 --> 00:04:35,173.04893295 So when we talk about filtering today, we’re not just relying on one economist or one study. 57 00:04:35,723.04864685 --> 00:04:40,373.04874222 We’ve got national research and Minnesota-based analysis pointing in the same direction. 58 00:04:40,873.04874222 --> 00:04:44,63.04879944 Which makes this a really good moment to zoom in locally. 59 00:04:45,13.0486087 --> 00:04:47,183.048685 So let’s walk through this with a Minnesota lens. 60 00:04:47,935.54874222 --> 00:04:51,485.54869453 Picture a new apartment building opening in the North Loop, or in St. 61 00:04:51,485.54869453 --> 00:04:55,895.54878036 Louis Park near the Green Line extension, or downtown Rochester near Mayo. 62 00:04:56,535.54912369 --> 00:04:57,305.54862778 It’s market-rate. 63 00:04:57,985.54893295 --> 00:04:58,385.54855148 New. 64 00:04:58,765.54866592 --> 00:05:01,185.54874222 Probably nicer than what a lot of people currently live in. 65 00:05:02,185.54874222 --> 00:05:03,75.54872791 Someone moves in. 66 00:05:03,665.54876129 --> 00:05:12,95.54858963 That person might be a nurse, an engineer, a dual-income household—someone who could have stayed in their older apartment, but now doesn’t need to. 67 00:05:12,928.04874155 --> 00:05:19,288.0486087 So they leave behind a unit—maybe in South Minneapolis, or Brooklyn Center, or an older building in Burnsville. 68 00:05:19,788.0486087 --> 00:05:21,828.04857055 That unit then becomes available. 69 00:05:22,288.0486087 --> 00:05:32,438.04822723 And the next renter is often someone with fewer options—maybe a slightly lower income, maybe a family that’s been trying to move closer to work, maybe someone doubling up before. 70 00:05:33,313.0486087 --> 00:05:35,153.04864208 Then they leave a unit behind. 71 00:05:35,403.04852287 --> 00:05:37,443.04872314 And that unit gets filled by someone else. 72 00:05:38,393.04860803 --> 00:05:39,793.04855625 And that’s the part people miss. 73 00:05:40,423.04855148 --> 00:05:43,643.04881851 It’s not about whether the new building itself is affordable. 74 00:05:43,993.04872314 --> 00:05:46,153.04857055 It’s about how many moves it unlocks. 75 00:05:47,100.5486087 --> 00:05:47,800.54859678 Exactly. 76 00:05:48,230.54860393 --> 00:05:53,170.54878036 Mast’s research shows that these migration chains don’t stop at higher-income neighborhoods. 77 00:05:53,700.54851333 --> 00:05:58,400.54879944 Within just a few rounds of moves, they reach middle-income and lower-income areas. 78 00:05:59,50.5486087 --> 00:06:00,980.54855625 And importantly—this doesn’t take decades. 79 00:06:01,480.54855625 --> 00:06:02,740.54851877 Yeah, that surprised me. 80 00:06:03,160.54859507 --> 00:06:07,710.5487858 A lot of people assume filtering only happens when buildings get old and worn down. 81 00:06:08,650.54855692 --> 00:06:13,460.5484997 But the study shows that most of the measurable impact happens within about five years. 82 00:06:13,950.54874766 --> 00:06:15,720.54872858 That’s fast in housing terms. 83 00:06:16,488.04855692 --> 00:06:20,548.0484997 Which matters a lot in Minnesota, because we’ve been underbuilding for years. 84 00:06:21,58.04872858 --> 00:06:24,188.04836619 We don’t have the luxury of waiting decades for relief. 85 00:06:24,688.04836619 --> 00:06:25,438.04836619 Exactly. 86 00:06:25,998.04830897 --> 00:06:39,958.04882395 Think about the pressure points we talk about all the time—rising rents in first-ring suburbs, limited options for workforce housing, long waitlists in Greater Minnesota communities where one new employer can throw the whole market out of balance. 87 00:06:40,458.04882395 --> 00:06:45,148.04888117 Filtering helps explain why adding supply in one place can relieve pressure in another. 88 00:06:45,648.04888117 --> 00:06:47,748.0487858 And the study actually puts numbers to this. 89 00:06:48,698.04883349 --> 00:06:58,808.04872858 Mast estimates that for every 100 new market-rate units built, a substantial number of households are effectively pulled out of lower-income housing through these chains. 90 00:06:59,308.04872858 --> 00:07:01,958.04882395 Right—and this is the stat that really sticks with me. 91 00:07:02,458.04882395 --> 00:07:15,68.04848063 Mast found that within about five years, those chains of moves result in roughly 70 new apartment openings for renters in lower-income neighborhoods—for every 100 new market-rate units that get built. 92 00:07:15,568.04848063 --> 00:07:16,168.04850447 Seventy. 93 00:07:16,278.04845917 --> 00:07:18,668.04838526 That’s not theoretical—that’s measured movement. 94 00:07:18,968.04857599 --> 00:07:22,728.04832804 Real people, real apartments, opening up relatively quickly. 95 00:07:23,305.54848063 -->

00:07:24,615.54842341 And that timing matters. 96 00:07:25,235.54842817 --> 00:07:28,595.54844248 This isn’t a 30-year wait-for-the-building-to-age scenario. 97 00:07:29,55.54848063 --> 00:07:33,375.54817545 The pressure relief shows up within a few years—when communities actually need it. 98 00:07:33,875.54817545 --> 00:07:39,415.5481373 Which is huge for Minnesota, because we’re dealing with tight markets right now, not hypothetical ones. 99 00:07:39,915.5481373 --> 00:07:46,885.5479275 The idea is that when someone moves out of an older, more affordable unit, it has a similar effect to adding a new unit at that price point. 100 00:07:47,535.54802286 --> 00:07:48,555.54848063 Demand drops. 101 00:07:48,735.54783213 --> 00:07:49,965.54832804 Competition eases. 102 00:07:50,465.54832804 --> 00:07:51,835.54833281 Again—not a silver bullet. 103 00:07:52,245.54829943 --> 00:07:53,285.54826128 But not nothing either. 104 00:07:54,78.04832804 --> 00:07:54,728.0483042 Exactly. 105 00:07:55,168.04836142 --> 00:07:59,958.04844248 And this brings us back to something we talked about a few weeks ago when we revisited Housing Solutions. 106 00:08:00,803.04832804 --> 00:08:02,723.04828512 That episode focused heavily on supply. 107 00:08:02,913.04822313 --> 00:08:06,923.0482136 Why Minnesota needs more housing—of all types, in all places. 108 00:08:07,590.54832804 --> 00:08:10,500.54841387 Filtering is the missing middle of that conversation. 109 00:08:10,960.5482136 --> 00:08:16,650.54874766 It’s the mechanism that explains how supply actually improves affordability beyond the building itself. 110 00:08:17,150.54874766 --> 00:08:20,240.54866182 And it also explains why blocking new housing can backfire. 111 00:08:20,562.74798136 --> 00:08:29,883.14327533 If that North Loop building doesn’t get built… If that Rochester project gets delayed… If that suburban infill development gets downsized… Then the chain never starts. 112 00:08:30,406.5080702 --> 00:08:30,966.50807259 Exactly. 113 00:08:31,256.50809404 --> 00:08:32,936.50804159 No first move, means no second move. 114 00:08:32,966.50801298 --> 00:08:33,666.50806066 No openings. 115 00:08:33,666.50806066 --> 00:08:34,676.50805113 No pressure relief. 116 00:08:34,951.33913532 --> 00:08:38,771.33906856 Everything stays tight—and in tight markets, rents rise everywhere. 117 00:08:39,626.33913532 --> 00:08:41,726.33903995 Which is something we’ve seen play out in Minnesota. 118 00:08:42,336.33917347 --> 00:08:48,226.33951679 When construction slows—whether because of zoning, regulation, or uncertainty—prices don’t freeze. 119 00:08:48,456.33905902 --> 00:08:49,76.33894458 They climb. 120 00:08:49,576.33894458 --> 00:08:53,16.33897386 And this is where filtering really challenges some common narratives. 121 00:08:53,516.33897386 --> 00:08:58,656.33884035 There’s a tendency to say, “That building isn’t for low-income renters, so it doesn’t help them.” 122 00:08:59,156.33884035 --> 00:09:02,416.33883081 But the research shows that housing markets are interconnected. 123 00:09:02,846.33889757 --> 00:09:05,86.33866869 What happens at the top affects the middle. 124 00:09:05,816.33868776 --> 00:09:07,916.33906923 What happens in the middle affects the bottom. 125 00:09:08,416.33906923 --> 00:09:16,766.3394507 And that’s especially true in the Twin Cities, where people move across city lines all the time for schools, jobs, transit, or just a better deal. 126 00:09:17,266.3394507 --> 00:09:17,896.33944593 Exactly. 127 00:09:18,246.33946978 --> 00:09:20,196.33951746 Filtering works because people are mobile. 128 00:09:20,706.33950792 --> 00:09:22,26.33967958 Because markets are regional. 129 00:09:22,296.33966051 --> 00:09:23,836.33962236 Because housing choices are linked. 130 00:09:24,796.33945003 --> 00:09:35,146.33956514 And the study even shows that these chains cross racial and geographic lines—something that’s especially relevant in Minnesota, given our persistent disparities in housing access. 131 00:09:35,646.33956514 --> 00:09:43,776.33941323 So when we talk about equity, filtering isn’t the whole answer—but it’s part of the ecosystem that makes other affordability tools work better. 132 00:09:44,276.33941323 --> 00:09:44,556.33941442 Right. 133 00:09:44,736.33942157 --> 00:09:49,266.33918434 Subsidies, vouchers, preservation, public housing—all of those are still essential. 134 00:09:49,616.33956581 --> 00:09:51,316.33937508 Filtering doesn’t replace them. 135 00:09:52,163.83941323 --> 00:09:55,23.83930832 But without supply, even the best programs struggle. 136 00:09:55,393.8394323 --> 00:09:59,53.83927971 And filtering shows why adding supply helps create breathing room. 137 00:09:59,553.83927971 --> 00:10:04,403.83939482 I think the big takeaway for me is this: filtering is slow, but not invisible. 138 00:10:04,663.83914687 --> 00:10:06,803.83949019 And it’s happening whether we acknowledge it or not. 139 00:10:07,303.83949019 --> 00:10:07,933.83948542 Exactly. 140 00:10:08,83.83946158 --> 00:10:10,73.83947112 The question isn’t whether filtering works. 141 00:10:10,293.83949973 --> 00:10:12,203.83958556 The research shows that it does. 142 00:10:12,866.33949019 --> 00:10:19,446.3394139 The real question is whether Minnesota will allow enough housing to be built for filtering to actually make a difference. 143 00:10:19,946.3394139 --> 00:10:28,876.33971907 Because when we don’t, the consequences are pretty clear—tight markets, rising rents, fewer options, and more pressure on the people who can least absorb it. 144 00:10:29,376.33971907 --> 00:10:35,916.3398914 So when you hear debates about development, density, or market-rate housing, this is the context that often gets lost. 145 00:10:36,416.3398914 --> 00:10:37,686.33987233 Filtering isn’t flashy. 146 00:10:37,786.33989617 --> 00:10:38,726.33983418 It’s not instant. 147 00:10:39,76.33997723 --> 00:10:44,406.33966252 But it’s real—and

it’s one of the quiet forces shaping affordability across our state right now. 148 00:10:44,906.33966252 --> 00:10:52,46.33952901 And this is exactly why having a strong, coordinated housing industry matters—because these systems don’t fix themselves. 149 00:10:52,843.83966252 --> 00:10:56,333.83967206 Before we head to a quick break, we want to tee up something a little different. 150 00:10:56,833.83967206 --> 00:11:09,293.83944385 Instead of our usual Ask mira and “What’s Happening at MHA,” we’re taking a moment to look back at 2025 By The Numbers, MHA's Annual Dashboard—because when you see it all together, it’s pretty powerful. 151 00:11:09,793.83944385 --> 00:11:11,483.83950107 2025 was a big year. 152 00:11:11,873.83936755 --> 00:11:21,53.83967273 Advocacy at the Capitol, education across the state, innovation with tools like mira—and a lot of behind-the-scenes work that doesn’t always make headlines. 153 00:11:21,973.83944318 --> 00:11:24,113.83952014 And none of it happens without the members. 154 00:11:24,723.83941524 --> 00:11:31,23.83936755 MHA represents over 2,200 members, providing over 300,000 homes across Minnesota. 155 00:11:31,523.83936755 --> 00:11:34,263.83937709 That’s real impact, in real communities—statewide. 156 00:11:35,103.83936688 --> 00:11:42,583.83959644 After the break, we’ll highlight what this community accomplished in 2025 and why it matters heading into the year ahead. 157 00:11:42,870.47877988 --> 00:11:43,550.47878703 Stick with us. 158 00:11:51,714.45201601 --> 00:12:01,672.20701527 Looking to refresh your flooring without the hassle? Bloomington Carpet One has you covered—with expert guidance, quality products, and solutions tailored for multi housing professionals. 159 00:12:02,112.20707249 --> 00:12:09,102.20732045 Whether it’s one unit or an entire building, their team helps you choose flooring that’s stylish, durable, and budget-friendly. 160 00:12:09,450.93701527 --> 00:12:11,510.93695805 Visit carpet-one-bloomington.com 161 00:12:11,610.9371011 --> 00:12:16,960.93724415 or stop by their Bloomington showroom to see the difference that local expertise and national buying power can make. 162 00:12:17,349.28201601 --> 00:12:18,329.28198666 Bloomington Carpet One. 163 00:12:18,689.59901885 --> 00:12:19,689.59904865 Beautiful made affordable. 164 00:12:23,114.87574254 --> 00:12:25,564.87576229 This episode is also sponsored by Renova One. 165 00:12:25,977.70974187 --> 00:12:37,277.70939989 You may remember them as Renovation Systems—but they’ve grown, evolved, and rebranded to reflect what they truly are: a nationwide, one-stop partner for all your unit turns and property improvements. 166 00:12:37,614.12674232 --> 00:12:47,254.12704839 From flooring and painting to restoration and full turnkey renovations, Renova One delivers it all—fast, responsive, and without the headache of juggling multiple vendors. 167 00:12:47,608.70674396 --> 00:12:48,268.70672176 Still local. 168 00:12:48,518.70672176 --> 00:12:49,758.7067909 Still the hustle you trust. 169 00:12:50,8.7067909 --> 00:12:52,568.70697209 Now with even more ways to scale with your portfolio. 170 00:12:52,942.85674232 --> 00:12:54,742.85677659 Learn more at Renova One .com 171 00:12:54,842.85680043 --> 00:12:57,842.85680043 and see how they're redefining service in multifamily. 172 00:13:06,181.82174781 --> 00:13:11,371.82180503 Alright—we’re back, and for this final part of the episode, we’re doing something a little different. 173 00:13:11,871.82180503 --> 00:13:27,361.82249257 Instead of Ask mira or a traditional “What’s Happening at MHA,” we’re closing with a look at the 2025 MHA by the numbers Dashboard—the snapshot members received at the beginning of the year that really shows what this community accomplished together. 174 00:13:28,179.32203481 --> 00:13:32,299.32192037 Because before we sign off, it’s worth pausing and saying: this work adds up. 175 00:13:32,799.32192037 --> 00:13:40,179.32203481 We spent today talking about systems—how housing markets function, how supply moves, how policy decisions ripple. 176 00:13:40,719.32199666 --> 00:13:45,839.32188222 The dashboard shows what it looks like when an industry shows up intentionally, across every front. 177 00:13:46,561.82192037 --> 00:13:51,921.82205388 Let’s start with Information, because in housing, what you know—and when you know it—matters. 178 00:13:52,641.8219197 --> 00:13:58,1.82178685 In 2025, MHA’s Weekly Update had an average open rate of 46 percent. 179 00:13:58,471.82205388 --> 00:14:01,881.82237813 That tells you members weren’t just subscribed—they were relying on it. 180 00:14:02,381.82237813 --> 00:14:09,361.82239721 That update is where changes in law, compliance reminders, advocacy alerts, and industry context all come together. 181 00:14:09,871.82214925 --> 00:14:13,261.82249257 It’s how members stay ahead instead of reacting after the fact. 182 00:14:13,994.32237813 --> 00:14:15,844.32240197 And members weren’t just opening emails. 183 00:14:16,154.32246396 --> 00:14:24,84.32253072 They were actively using MHA’s online resources too—logging nearly 4,800 unique website page views over the year. 184 00:14:24,956.82237813 --> 00:14:30,676.82240674 That’s people looking for answers, tools, and clarity—because good information makes better decisions possible. 185 00:14:31,384.32238767 --> 00:14:33,234.32241151 That leads directly into Advocacy. 186 00:14:33,989.322387 --> 00:14:43,119.32223508 In 2025, MHA had 173 contacts with public officials and delivered 21 instances of public testimony on behalf of the industry. 187 00:14:43,954.32238797 --> 00:14:45,884.32238767 That’s consistent representation. 188 00:14:46,484.3222923 --> 00:14:56,974.32254026 It’s not just showing up when something’s on fire—it’s building relationships, educating lawmakers, and making sure housing providers have a seat at the table before decisions are made. 189 00:14:57,474.32254026

--> 00:15:00,204.32255933 And that advocacy didn’t stay behind closed doors. 190 00:15:00,944.32256887 --> 00:15:08,754.32227323 MHA had 34 media mentions in 2025—helping shape the public narrative around rental housing and housing providers. 191 00:15:09,474.32254026 --> 00:15:15,864.32240674 That matters, because public understanding influences policy, investment, and trust in the industry as a whole. 192 00:15:16,826.82254026 --> 00:15:17,876.82249257 Next up...Innovation. 193 00:15:18,551.82254026 --> 00:15:22,711.82238767 2025 was a year where MHA didn’t just keep up—it pushed forward. 194 00:15:23,381.82246396 --> 00:15:27,161.82219693 The launch of mira, MHA’s AI assistant, is a perfect example. 195 00:15:27,741.82212064 --> 00:15:36,161.82315061 In just a few months, mira answered over four thousand member questions—on compliance, operations, and real-world scenarios members face every day. 196 00:15:36,751.82254026 --> 00:15:38,91.82257364 That’s innovation with purpose. 197 00:15:38,321.82259271 --> 00:15:45,491.82231137 Not technology for technology’s sake—but tools that reduce stress, save time, and help members do their jobs better. 198 00:15:46,281.82253959 --> 00:15:47,441.82259748 And finally, Education. 199 00:15:48,106.82253959 --> 00:15:56,396.82223508 In 2025, nearly 2,000 unique attendees participated in MHA education—classes, conferences, and breakout sessions. 200 00:15:57,6.82284543 --> 00:16:01,816.82231137 Certification numbers continued to grow, strengthening professionalism across the industry. 201 00:16:02,714.32254026 --> 00:16:04,54.32257364 That’s frontline impact. 202 00:16:04,684.32256887 --> 00:16:05,774.32248304 Better-trained teams. 203 00:16:05,774.32248304 --> 00:16:06,744.32275006 Stronger leadership. 204 00:16:06,824.32267377 --> 00:16:07,834.32242582 Higher standards. 205 00:16:08,134.32261655 --> 00:16:10,974.32276914 And ultimately, better housing outcomes for residents. 206 00:16:11,651.82254026 --> 00:16:17,881.82255933 When you step back and look at all four—Information, Advocacy, Innovation, and Education—you see alignment. 207 00:16:18,241.82269284 --> 00:16:20,131.82208249 Each piece reinforces the others. 208 00:16:20,801.82254026 --> 00:16:23,441.82264516 And that’s what membership in MHA really represents. 209 00:16:23,861.82248304 --> 00:16:29,361.82295987 Not just access to benefits—but participation in a healthier, stronger housing ecosystem. 210 00:16:30,214.32254026 --> 00:16:33,324.32243535 When providers are informed, the industry is more stable. 211 00:16:33,654.32259748 --> 00:16:36,664.32234952 When providers are educated, housing quality improves. 212 00:16:37,164.32234952 --> 00:16:40,14.322731 When there’s a unified voice, policy gets smarter. 213 00:16:40,726.8225403 --> 00:16:47,926.8223495 And when the industry is stronger, everyone benefits—housing providers, residents, communities, and Minnesota as a whole. 214 00:16:48,669.3225396 --> 00:16:56,949.3229599 So whether you’ve been part of MHA for years or you’re just beginning to engage, this dashboard is a reminder that being involved matters. 215 00:16:57,719.3225396 --> 00:17:00,189.3225403 A healthy housing system doesn’t happen by accident. 216 00:17:00,539.3224449 --> 00:17:03,769.322464 It happens because people choose to show up—together. 217 00:17:04,576.8225403 --> 00:17:06,266.8225975 That’s it for this episode of The Brief. 218 00:17:06,596.8225212 --> 00:17:10,756.8223686 Thanks for listening—and thank you for being part of the MHA community. 219 00:17:13,402.2839129 --> 00:17:18,972.2840845 This has been The Brief, an original podcast produced by the Minnesota Multi Housing Association. 220 00:17:19,272.2840845 --> 00:17:24,252.2839278 It is hosted by your two favorite AI voices—me, Denise Wilson… …and me, Logan Garcia. 221 00:17:24,552.2839278 --> 00:17:26,532.2839469 Our story editor is Todd Lillgenquist. 222 00:17:26,872.2838611 --> 00:17:29,722.2840041 Aubrey Albrecht is our showrunner and managing producer. 223 00:17:30,202.2840232 --> 00:17:32,512.283966 The Brief’s executive producer is Sesil Smith. 224 00:17:32,872.2836227 --> 00:17:36,802.2839278 Follow and listen on Spotify, Apple Podcasts, mmha.com, 225 00:17:37,82.2836608 --> 00:17:38,852.2841186 and wherever you get your podcasts. 226 00:17:39,152.2841186 --> 00:17:42,792.2841955 And one more big thank-you to Citizens State Bank, our founding sponsor. 227 00:17:43,182.284062 --> 00:17:49,402.2838522 Their support powers this podcast—and their team powers smart financial solutions for Minnesota’s housing providers. 228 00:17:49,732.2837759 --> 00:17:51,462.2842718 Visit csbnet.net 229 00:17:51,802.2844244 --> 00:17:52,502.2842337 to learn more. 230 00:17:52,802.2842337 --> 00:17:53,712.2842599 See you next time!