Podcasts about Horrible

Today's Mystery: After a wrong turn leaves Simon Templar and taxi driver Louie dining at a lonely roadside restaurant, a flat tire leads them to discover a corpse in the trunk of Louie's cab. When the body mysteriously disappears, the Saint sets out to uncover the truth behind the "Happy Hamburger."Original Radio Broadcast: September 10, 1950Originating from HollywoodStarring Vincent Price as Simon Templar, The Saint. Also featuring Louise Erickson, Noreen Gammill, Arthur Q. Bryan, Dave Light, and Larry Dobkin as Louie. Written by Louis Vittes. Music composed and conducted by Van Dexter. Directed by Helen Mack.Announced by Don Stanley.Based on characters created by Leslie Charteris. A James L. Saphier production.Support the podcast monthly at https://patreon.greatdetectives.netPatreon Supporter of the Day: Martin, Patreon supporter since September 2017.Support the show on a one-time basis at https://support.greatdetectives.netMail a donation to:Adam GrahamPO Box 15913Boise, ID 83715Take our listener survey at https://survey.greatdetectives.netGive us a call at 208-991-4783Become one of our friends on Facebook at https://www.facebook.com/radiodetectivesFollow us on Instagram at https://instagram.com/greatdetectivesFollow us on Twitter/X at @radiodetectivesJoin us again next time for another adventure of The Saint.

An abandoned fish sauce factory?! Great for cooking, bad for sitting around.

Skippy and Doogles unpack the spectacular unraveling of Situational Awareness, a hedge fund that reportedly went from roughly $30 billion to $8 billion in a matter of weeks. Then the conversation turns to Larry Ellison and Oracle's enormous AI infrastructure gamble.Join the premium Skippy and Doogles fan club. You can also get more details about the show at skippydoogles.com, show notes on our Substack, and send comments or questions to skippydoogles@gmail.com.

tookiesoup.com

Dans cette vidéo je vous racontes les pires Affaires criminelles. N'hésite pas à t'abonner pour ne rien manquer ! Vous pouvez aussi me parler sur insta : Mogotasama

Another week, another episode of me basically repeating myself about The Yankees and their offensive flaws. So, who do I blame? Listen to the episode and find out.Trade deadline is almost here and there really doesn't seem to be much to be hopeful about. Skubal went to L.A. and I talk about that. It's crazy to hear what the ask was from Detroit when they were talking to The Yanks. Especially when you see what they got from L.A. - Yes, I talk about that in the episode too.Thank you for listening to me grow increasingly frustrated week after week with this team! I truly appreciate everyone that spends time with the show.

Más de una vez habrás escuchado sobre suegras quita maridos, o sobre señoras que les encanta bajarle el novio a sus propias hijas. ¿Te ha tocado? ¿Te gustó alguna suegra? Mantente al día con los últimos de 'El Bueno, la Mala y el Feo'. ¡Suscríbete para no perderte ningún episodio!Ayúdanos a crecer dejándonos un review ¡Tu opinión es muy importante para nosotros!¿Conoces a alguien que amaría este episodio? ¡Compárteselo por WhatsApp, por texto, por Facebook, y ayúdanos a correr la voz!Escúchanos en Uforia App, Apple Podcasts, Spotify, y el canal de YouTube de Uforia Podcasts, o donde sea que escuchas tus podcasts.'El Bueno, la Mala y el Feo' es un podcast de Uforia Podcasts, la plataforma de audio de TelevisaUnivision.

No te pierdas los directos de lunes a viernes 10 pm Transmitiendo desde Cd Mante Si quieres hacer tu Donación PayPal: julio_azuara@hotmail.com ADQUIERE LAS ENTRADAS A LOS SHOWS EN VIVO AQUI: https://sl1nk.com/ve0w4cc COMPRA MIS LIBROS AQUI: HISTORIAS DE SUCESOS PARANORMALES PARA LEER EN EL BAÑO: https://a.co/d/c0aMiuw LA CASA GRIS: https://a.co/d/2KGSTUq UNA OPORTUNIDAD: https://a.co/d/53ykau0 EL SALTO: https://a.co/d/5XM3vtY EL BOLAS DE ORO: https://a.co/d/fR0i0SI ⭐️ Únete a nuestras Redes Sociales ⭐️

Title: Would You Survive a Driving Lesson With Your Teen? Plus the Austin Food Debate That Got Heated Description: What's the one food you could actually win an eating contest with? On this episode of The JB and Sandy Show, the crew dives into everything from competitive eating and Austin's best barbecue spots to the nerve-racking reality of teaching a teenager how to drive. Listeners weigh in on parenting advice, JB shares stories about handing over the keys for the first time, and Sandy wonders if surprise driving lessons might be the ultimate test of readiness. The conversation also turns to Austin pride as Matthew McConaughey teams up with Yeti for a uniquely Texas collaboration, inspiring one of Sandy's unforgettable on-air poems. Plus, the gang debates what food they'd dominate in an eating contest, leading to some surprising answers. Memorable moments:The eating contest food each host thinks they could conquer.Listener recommendations for one of Austin area's favorite barbecue joints.Real-world advice for parents teaching teens to drive.Sandy's hilarious "Ode to the Yeti."Trisha's memorable Godfather impression.Subscribe, leave a review, and share this episode with someone who's survived teaching a teen driver or loves a great Austin story. 

AI is everywhere, but are property management companies asking the right questions before implementing it? In this episode of the #DoorGrowShow, Jason Hull sits down with Mo Hussain to discuss why successful AI adoption has far less to do with technology and far more to do with operational clarity. Instead of chasing the latest AI tools, Mo introduces his Measure, Map, Automate framework to identify operational bottlenecks, uncover hidden profit leaks, and build workflows that actually improve business performance.  Together, they explore why clean data is the foundation of automation, how undocumented processes create costly inefficiencies, and why AI should enhance human decision-making rather than replace it.   You'll Learn [00:00] Meet Mo Hussain and the Measure, Map, Automate Framework [03:20] Why Most Companies Ask the Wrong AI Questions [08:10] The Role of Clean Data in AI Success [12:45] Mapping Workflows Before Automating Them [15:30] The Process Myth and Better Operational Systems [21:10] Building Accountability Into AI Workflows [25:15] Designing AI Agents That Actually Perform [27:45] Turning Operational Data Into Business Growth [29:15] Final Advice for Property Management Leaders Quotables "AI value really truly is workflow value." Mo Hussain  "AI depends on trusted operational data." Mo Hussain  "The winners are not gonna be the companies that have the most amount of data, but they're the ones that can convert data into consistent operating actions." Mo Hussain  Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) welcome everybody. I'm Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry.   At DoorGro, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now let's get into the show. And my guest today is Mo Hussain, and we're going to be talking about how property management companies can stop drowning in data and start turning it into real operational growth. In this episode,   Mo is breaking down the measure, map, and automate framework that he has built and approach an approach to uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio.   right.   is Mo Hussain. Mo, welcome to the show.   Mo Hussein (01:01) Hey Jason, happy to be here.   Jason Hull (01:03) So today we're going to be chatting a little bit about how property management companies can stop drowning in data and start turning it into real operational growth. And Mo's going to break down the measure, map, and automate framework, his approach for uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio. So cool, measuring is important. We'll get into that. So before we get into that, Mo,   Can you give people a little bit of background on yourself? How did you get into entrepreneurism? How did you get connected to property management? And help everybody understand who Mo is. Yeah.   Mo Hussein (01:42) Yeah.   great question. So I I've been in this industry now for probably coming up on 20 years at this point. I I worked at some of the prop tech and software providers that are prevalent in the space. Namely, I worked at both YARTI App Folio, which are both kind of headquartered in in Santa Barbara. and a little bit over ten years ago, I started a consultancy and accounting CPA practice that specifically focuses on   Jason Hull (01:56) Namely, I worked at both YARDIE and at Folio, which are both kind of headquartered in in Santa Barbara. a little bit over ten years ago, I started a consultancy and accounting TPA practice that specifically focuses   on prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point.   Mo Hussein (02:11) Prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point. and then   we've also built products for the space to help with automations, help with you know accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience.   Jason Hull (02:25) And then we've also built products for the space to help with automations, help with you know, accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience   Mo Hussein (02:40) from working as a consultant and also as an accountant and even working as some of these tech providers now being a actual supplier in the industry.   Jason Hull (02:41) from working as a consultant and also as an accountant and even working as some of these tech providers now being a aqua supplier in the industry. Very cool. Very cool. So you're a little bit nerdy.   Mo Hussein (02:52) A little bit. Data. I love data. Right.   Jason Hull (02:53) Okay, so am I. So am I. All right. So   cool. So let's talk nerdy to me, Mo. All right. So let's let's chat about this. So let's get into it. So t tell us about this. Wha why is this wh how'd you come up with this framework? Why is this important? I love frameworks because frameworks are usually where we take something that we notice a pattern in, there's some complexity involved, and we make it simple. So explain to us.   Mo Hussein (02:59) Yeah.   Jason Hull (03:18) Where does the measure map and automate framework kind of come from?   Mo Hussein (03:22) Right, right. And this is this kind of stems from a conversation you probably have with plenty of your your clients and even prospects when you start engaging, you know, the the the very popular question now of how do we use AI? I want to streamline and automate. And it's a very loaded, it's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI into our operations, right?   Jason Hull (03:23) And this is this kind of stems from a conversation you probably have with plenty of your   You know, the the the the very popular question now, how do we use AI? It's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI more.   Mo Hussein (03:48) when conversely, like you know, operators and property managers should be starting with a different qu set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects and automation really only matters when it connects to a to a revenue lever or some type of a cost lever or productivity gain or or risk reduction, right?   Jason Hull (03:50) Conversely, like you know, operators, property managers should be starting with a different set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects in automation really only matters when it connects to a to a revenue lever or some type of a cost lever, productivity gain or or risk reduction,   right? Yeah. there's there's a couple   Mo Hussein (04:14) and there's there's a couple of key components   Jason Hull (04:16) key components in even conversations that you've probably even had with with property managers today is that firstly like you know operators today they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems, hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants   Mo Hussein (04:17) in even conversations that you've probably even had with with property managers today is that firstly, like, you know, operators today, they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants to   Jason Hull (04:43) to automate and execute   Mo Hussein (04:43) automate and execute an   operational kind of workflow. But the hard part is not whether, you know, AI can really do something, but the hard part is whether a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work and manage   Jason Hull (04:45) an operational kind of workflow. The hard part is not whether you know AI can really do something, but the hard part is whether a a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work, and   manage ideally performance through some type of closed loop accountability. We just put an actual word to it, right? A framework to it, I'm sure   Mo Hussein (05:07) ideally performance through some type of a closed loop accountability. We just put an actual word to it and a framework to it, but I'm sure very   similarly to the conversations that you're probably having also even with customers.   Jason Hull (05:15) Very similarly to the conversations that you're probably having also with customers.   Yeah, yeah, got it. Yeah. it's interesting because we're now seeing a lot of these tech companies or tech forward companies that are kind of backtracking on AI a little bit. They were giving out basically blank checks to use AI as much as they could. Some were even creating sort of a contest internally, incentivizing like who could use the most tokens.   Mo Hussein (05:29) Mm.   Right.   You're right.   Jason Hull (05:41) Which is a little bit insane   to just give people a blank check as if that always the more tokens you burn, the more productivity is being created, right?   Mo Hussein (05:51) Right, right, right. And we're seeing, yeah, and you know, as we're seeing these newer models that are coming out, whether it's, you know, through Cloud, Anthropic or even these other these other LLMs, the token utilization is becoming more and more expensive, especially with these newer models. And so now the question of just like, hey, how is that utilization actually translating to actual business value? Right. And this was a question that eventually would have been would have been pushed, right?   Jason Hull (05:54) Yeah and you know.   Of just like, hey, how's that utilization actually translating to actual business value? Right.   Yeah. Yeah. Yeah. I love it. Like how to use AI. Yeah. Bad question. A better question is how do we actually make sure we're creating more profit? How do we actually make sure we are lowering costs? Like   And that's the the idea, they think, well, AI must be so much cheaper than people. And what's interesting, I've also seen some reports lately showing the amount of money these different LLMs are losing right now. They're spending a massive amount of money to deliver AI to us at a super cheap price right now. And but they're losing money. Every time we're chatting, they're losing money.   Mo Hussein (06:47) Mm-hmm.   Right.   Right.   Jason Hull (07:01) And that's that's a wild business model. They're obviously hoping to win some sort of AI race. They're hoping to get us maybe in the future. And there's a lot of talk lately as well of people thinking we gotta shift to local models. Like we gotta I gotta run this AI stuff on my own computer and not be giving all my money to anthropic or open AI you know, open AI or whatever. So okay.   Mo Hussein (07:15) Mm-hmm.   Right, right.   Right.   Jason Hull (07:26) Cool. So let's continue on. Me measure, map and automate. Yeah. Yeah.   Mo Hussein (07:29) Yeah. Yeah. And   by the way, going on your point, Jason, it's you know, you you also, you know, creating automation and leveraging these models locally, it there's definitely value in that. But you know, now more than ever, f you know, teams are kind of distributed, right? And so ideally, if you've built automations and leveraging these L LMs and   Jason Hull (07:35) Yeah, y you also you know   Locally it is definitely that   Teams are kind of distributed, right? Yeah. Ideally, if you've built automations and leveraging these LLMs   and   Mo Hussein (07:52) And things of that sort.   You probably want to have like some type of an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? and so measure, map and and automate. So you know, there's there's kind of those three components to be able to actually fully ideally leverage leverage AI. But   Jason Hull (07:55) some type of a an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? yeah. So measure, map and and automate. So you know there's there's kind of those three components to be able to actually fully ideally leverage leverage AI but   there's there's a couple like kind of key core components that feel like   Mo Hussein (08:20) There's there's a couple of like kind of key core components that I feel like   is very important for folks to to really understand before they can they they can even take advantage of of AI, right? so one is you know AI, AI value really truly is workflow value. And so like the most the biggest opportunities when it comes to automation leveraging AI is things that are repetitive.   Jason Hull (08:25) is very important for folks to to really understand before they can they they can take advantage of of AI, right? so one is, you know, a AI AI value really truly is a workflow value. And so like the most   automation leveraging AI as things that are   repetitive, you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, delinquency, turns, maintenance, triage, variance explanations. another another key thing to understand is you know AI depends on trusted ideal operational data. And so if you don't have accurate or clean property unit, resident, vendor,   Mo Hussein (08:44) you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, d delinquency, terms, maintenance triage, variance explanations. another another key thing to understand is, you know, AI depends on trusted ideally operational data. And so if you don't have accurate or clean property unit, resident vendor   payment data and it's and it's inconsistent, you know, AI just   Jason Hull (09:10) payment data and it's and it's inconsistent, you know,   AI just helps accelerate the wrong answer, right? This notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And asci you know action needs to be assigned, there needs to be some accountability that gets created there and then a measurement of of of   Mo Hussein (09:13) helps accelerate r the wrong answer, right? And the this notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And as I you know action needs to be assigned. There needs to be some accountability that gets created there and then a measurement of of of a   of of a of a result.   Jason Hull (09:40) of of a of a   result. and then lastly like humans humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment loopholes and so   Mo Hussein (09:42) and then lastly like humans, humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment approvals. And so   Once we   have these kind of these table stake table stake items, if you will, kind of address, then you know we can move on to kind of you know the our framework of kind of measure, map, and automate. And so in each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things like where   Jason Hull (10:09) Once we have these kind of these table stakes stakeheads, if you will, kind of addressed, then you know, we can move on to kind of, you know, the our framework of kind of measure, map, and automate. And so and each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things   like where   Mo Hussein (10:36) where   time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Jason Hull (10:37) Where time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Yeah. Got it. Yeah, that that makes a lot of sense. So you've got to be you have to have good data.   Which the crux of th where their data is all probably housed is inside of their property management software.   Mo Hussein (11:06) Right.   Jason Hull (11:07) And so hopefully that software is kinda tracking some of this stuff. But, you know, everybody's had a CRM that the team didn't put enough notes in. And then it becomes kind of useless, right? So you're like, what happened with Fred on that call earlier, you know, or previously? I I think I think we talked about this. Can't remember. Why aren't you putting in notes? And so then the flaw becomes the human in the loop in a lot of instances. But then you're saying, you know, also humans matter. Like   Mo Hussein (11:14) Right.   Right.   Jason Hull (11:34) Related to fair housing. We've got to have the human in the loop making decisions. I don't think it would go fair very well to be standing in front of a judge and say, Well, the AI messed this up. It wasn't me.   Mo Hussein (11:43) Right. Right.   Right. Yeah, that's very that's very correct. the the the other thing is is that you know software is a tool, right? So they you know, for like that example that you just gave of like, hey, you know, I had a conversation with Freddie or an owner or what have you, and you know, the notes weren't captured. And so if there's if if if if there's there needs to be also a cultural   Jason Hull (11:46) Yeah, that's very that's very   Yeah, they you know, put like that example that you just gave of like, Hey, you know, I had a conversation   And you know, the notes weren't captured. And so if there's if if if if there's there needs to be also   Mo Hussein (12:06) shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I, you know, we use Salesforce in our own internal kind of CRM and you know, there's this old ad like this old saying of just, you know, hey, if it didn't happen to Salesforce, it didn't happen at all. In other words, if your system of record hasn't been updated and things haven't been added to it   Jason Hull (12:06) cultural shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I you know, we use Salesforce in our own internal kind of CRM and you know, there's this this old like this old thing of just, you know, hey, if it didn't happen in Salesforce, it didn't happen at all. Right.   Mo Hussein (12:29) to to ensure that it is correct and accurate and up to date, then   Jason Hull (12:29) to it to to ensure that it is correct and accurate and up   to date, then the organization sees it as, you know, as it didn't happen. And somebody, you know, using anecdotal feedback like, well I did this, but I just didn't update this. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's something it's a cultural shift that needs to also   Mo Hussein (12:32) the organization sees it as you know as it didn't happen. And somebody, you know, using anecdotal feedback of like, well I did this, but I just didn't update this, it means it didn't happen. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's some it's a cultural shift that needs to also cascade   also from from leadership down as well.   Jason Hull (12:57) Cascade also from leadership down.   Yeah, the advantage we have nowadays with all the AI stuff that's come out is now pretty much everything gets transcribed everywhere. So calls get transcribed, notes can be created automatically. You can also go back and ha check the transcription on a call or a zoom call or recording, figure out what happened. So that you know, not leaving notes in the CRM is a little bit less of a problem than it was in the past.   So we've so we've chatted a bit about measure. What is what's important about mapping or map? Yeah. So this is this goes back to my previous point about like you know AI value being it it is workflow value. Yeah so you know you've measured you've identified you know your measurements and KPIs. So whatever those KPIs may be. Next what you need to do is map what the actual   Mo Hussein (13:30) The mapping. Yeah. So this is this goes back to my previous point about like, you know, AI value being it is workflow value. And so, you know, you've measured, you've identified, you know, your measurements and KPIs, you know, days vacant, delinquency, whatever those KPIs may be. Next, what you need to do is map what the actual what   the actual workflows that are happening, not how leadership or staff thinks it's happening.   Jason Hull (13:53) what the actual workflows are happening, not how leadership or staff thinks it's   happening. There's a very key kind of a distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. Yeah. And and map that entire workflow end to end.   Mo Hussein (13:59) The very key kind of distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. And and map that entire workflow end to end.   identify what systems are involved, where handoffs occur, where approvals are required.   Jason Hull (14:21) identify what systems are involved, where handoffs occur, where approvals are required,   Mo Hussein (14:27) where judgment calls are are are are kind of made. And so, you know, every company has, you know, things like experienced managers and accountants and maintenance folks and and they usually know what good looks like versus what bad looks like. And so AI here is to help kind of convert that tribal knowledge ideally into a repeatable operating model. And so examples of how that mapping   Jason Hull (14:28) where judgment calls are kind of made. And so every company has you know things like experienced managers and accountants and maintenance folks, and and they usually know what good looks like versus what bad looks like. And so AI here helped kind of convert that tribal knowledge ideally into an overviewable operative model. So examples of   that mapping would be is you know, hey, what is the entire need to lease workflow?   Mo Hussein (14:50) would be is, you know, hey, what is the entire lead to lease workflow? You know,   Jason Hull (14:54) You know, what is the work order to completion, you know? what is our renewal offer to sign and executed actual renewal? And so and actually and again documenting that, a a lot of organizations have some notion of what that workflow kinda looks like. but   Mo Hussein (14:54) What is the work order to completion? You know? what is our renewal offer to signed and executed actual renewal? And so and actually, and again, documenting that. A a lot of organizations have some notion of what that workflow kind of looks like. but you know, they   haven't actually done they may not have documented, or if they did, it's not updated and they have an out of date SOP or a process diagram.   Jason Hull (15:12) you know, they haven't actually gotten any INOT documents in or if they did, it's not updated and they have an out of data so P or a process diagram.   Mo Hussein (15:22) And that's that's and that's that's that's a very important kind of key aspect of kind of this process.   Jason Hull (15:22) and that's that's and that's that's that's a very important kind of key aspect of kind of this process. Yeah, yeah. Well I a lot of times I end up talking with clients and I've noticed kind of this pattern or trend in the industry of I call it the process myth where everybody thinks if we just had better processes   all of our hopes and dreams would come true when it comes to the off side of the business and we would be more profitable. And especially see this in the two to four hundred door range in single family or small multi-residential property management. And so the challenge there is th that it's impossible to create enough processes, KPIs, and systems to make mediocre people be great. But they pe that doesn't stop business owners from trying. They they're like   Mo Hussein (15:59) Right.   Right.   Jason Hull (16:04) They they they wake up in the morning, they're like, I want to play an impossible game today. And they they still try. And I call it the process myth because if you have really great people, even if your processes are garbage, that I've seen these businesses still perform well. But the reverse is not true. You have mediocre people, you could have insane amounts of systems and processes and stuff, and the business still has a lot of headaches and problems.   Mo Hussein (16:16) Mm-hmm.   Jason Hull (16:29) And so I've kind of noticed this pattern. I call it the three levels of process. And level one is documentation. It's just like writing stuff out. But that's kind of like the owner's manual in the glove box of the car. Nobody looks at it, it doesn't get updated. You know, it's like it's it's it's gathering dust, and people don't actually, that's not actually how the processes are run. And over time, things gravitate towards ease or grace or what the flows best for the person doing the job.   Mo Hussein (16:39) Mm-hmm, mm-hmm.   Jason Hull (16:57) Not for what's best for the job sometimes. And so it gravitates a little bit towards chaos or being worse. Then there's this level two, which is checklists. This is where people are using things like Asana or Process Street or Lead Simple or they some sort of checklist space system where now they're verifying the works getting done in a certain way. But checklist has its own problems in that it's very linear and not every process is linear.   Mo Hussein (16:59) Right, right.   Read simple. Mm-hmm.   Mm-hmm.   Jason Hull (17:24) There's decisions   and splits and merges and sting things happening concurrently in property management. And so the challenge with checklist also it can tend to slow things down. It's not as efficient. So the next level and the problem I had with checklist, we used to use process street, is that it it if anytime a process got complicated, I had to build logic and you know, if-then sort of situations into it.   And it usually got to the point where I didn't even understand it. Like a year later, I'm looking at a process. I'm like, I had to retranslate this back into something that made sense to my brain. And I always, and the nerd had to be the one that did all the updates on it because nobody else could understand it. So then we eventually graduated to level three. So level three is visual workflow. This is for humans.   Mo Hussein (18:01) Right.   Mm-hmm.   Jason Hull (18:13) And so, and with with this, my tip to everybody listening, if you have a system, whether it's checklist or it's any of these three levels, you know, documentation, checklist, or visual workflow, that you your first two processes you make as an operator or as a business owner is how to create a process in this system is number one. And number two, how to QA.   Mo Hussein (18:26) Did   Jason Hull (18:37) A process that is made in the system to know it's actually a good one. If you just make those two, you don't have to do any of the other stuff. Everybody else can do it. You just make those two. That's my tip for all you business owners. And now with AI, you can start adding AI. Once you have things visually mapped out, it's you've got the map like you're talking about. Now you can figure out all right, where can AI take over some of this stuff? And where do we still need the human in the loop? Right. So yeah.   Mo Hussein (18:43) Mm.   And automation. Mm-hmm. Yep.   Yeah.   Right,   Jason Hull (19:05) So any tips for those listening to this that are already geeking out with AI, they're doing a little bit of this measuring and mapping and automating. What are some of the biggest challenges you've noticed where this kind of breaks down or people are making mistakes?   Mo Hussein (19:19) It's it's honestly it's the it's the you know, AI value. it's it's a lot of the small individual decisions that are made in a in a repetitive fashion and that that are made a lot that really are gonna unlock like true value for for any operator. And so like, you know, having very clean data, standardized, you know, systems of truth by what we mean by that is that, you know, hey, you know.   Jason Hull (19:20) It's it's honestly it's the it's the you know, AI value it's it's   like true value for for any op   clean data, standardized, you know, systems of truth. But what we mean by that is that, you know, hey,   you know, you know, whatever work order system that you're using, for example, has accurate, you know, work order data. People, you know, you're making a segment for actually closing out the work order when they complete it. Hey, the end of the week, I'm gonna now try to remember what I did earlier in the week.   Mo Hussein (19:47) you know, whatever work order systems that you're using, for example, has accurate, you know, work order data. People, you know, your maintenance technicians are actually closing out the work order when they complete it. Not just, hey, the end the week, I'm gonna now try to remember what I did earlier in the week.   Close it out. So the data is   the data can't be trusted, then AI is just going   Jason Hull (20:04) data the be trusted and AI   Mo Hussein (20:07) to cause additional kind of confusion. And so having accurate systems of record. And I gave that example of of of a work order when a technician kind of closes that, right? the process map, I think the you know, the three buckets are like three level that you kind of gave, I think is a great, great.   Jason Hull (20:20) Yeah, yeah. Yeah, that makes sense.   yeah.   level that you kinda gave I think it's a great,   great anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the schemes, right? So an owner somebody at some point said, okay hey this is a process we're gonna take and then over time that just kind of got changed.   Mo Hussein (20:29) anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the teams, right? It's an owner, somebody at some point said, okay, hey, this is the process we're gonna take. And then over time that just kind of got changed. And there   may be, you know, two different property managers   Jason Hull (20:55) And there may be, you know, two different property managers   Mo Hussein (20:58) operating in two different regions in the same company that are doing leasing renewal differently, right? That going back to that point that you mentioned about systematizing and having accountability loops and task base or like checklist items and ensuring that those things are actually done in that same quality and that same fashion is very, very key. And so getting data, like getting the right data, accurate data,   Jason Hull (20:58) operating in two different regions in the same company that are doing these things renewal differently. Right. That point that you mentioned about synthesizing and having accountability loops and task based or like checklist items and ensuring that those things are actually done in that same quality, in that same fashion is very, very key. And so getting data, getting the right data, accurate data   Mo Hussein (21:23) and then also like your process mapping and your   Jason Hull (21:24) And then also like your process mapping   and your processes kind of documented. I think I think the visual representation is a great way to have that. And those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and try to automate and use AI for these things like usually we're like where where they're really struggling with. got it. Yeah, I think   Mo Hussein (21:26) processes kind of documented. I think I think the visual representation is a great way to have that. Those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and trying to automate and use AI for these things like usually we're like we're where they're really struggling with.   Jason Hull (21:50) I was just on a webinar recently and they were talking about building AI agents and they were talking about if you want to make really effective AI agents, you need to give them a really good job description, just like a human. And what what's really funny is if you we coach clients on this a lot, but if we tell the clients to to go, we coach clients on   Creating job descriptions. We call our version of them R docs because each section starts with an R, like role, responsibility, et cetera, all the typical stuff. But then we have some additional sections that we found really paramount. So what we'll tell them to do is go ask your team members, give them this framework, and have them create their own R Doc. And then you take a look at this and see if that's what you would have created. Because it's never like what they think their job is. It's usually very different than what the business owner thinks their job is.   Mo Hussein (22:25) Mm-hmm.   Right.   Jason Hull (22:36) And maybe even different what the manager, the ops person thinks the job is, but then you can actually literally get on the same page with them. You can be like negotiate this and be like, this is what we think your priorities should be, and what your outcomes should be, and what we want you to be able to accomplish. And this is helpful for them to know what they're aiming for so that they can please you because your team members want to please you if they're good. But usually there's a big disconnect, like you're saying, between what   Mo Hussein (23:00) Mm-hmm. Mm-hmm.   Jason Hull (23:05) the the employee thinks their j role and job is versus what their manager thinks they should be doing versus what the business owner thinks everybody should be doing. And so nobody's on the same page. And then you're everybody's roles are a little messy. And then you're going, let's give them processes now to work on. And they're not even clear on what their job is or what their role is. Yeah. And so same thing if you were going to build an AI agent and you were like, I want you to try and be good at everything. And then suddenly it's like really   Mo Hussein (23:29) Right.   Jason Hull (23:34) Hallucinating a lot and it's messing everything up and yeah. And it's not a realistic creature, you know, just like some people give create job descriptions that are for like four different personality types. Right. And then they hire somebody that maybe can actually do all four things, and we call those really highly adaptable, weird creatures entrepreneurs. And then they wonder why that property manager left and stole all their clients.   Mo Hussein (23:34) Horrible.   Right.   Yeah.   Jason Hull (23:57) Instead of finding somebody that's like really good at being one thing. Right. Yeah. And that's how you should see Asia.   Mo Hussein (24:00) Right. That that that that role clarity is very, very, very important, right? And that's how you should see agents as well, is that   like, hey, it's like a trained employee. And so you should exp you should expect the same level of, you know, investment involvement, if you will, and trying to and try to help them be the best of like, you know, whether it's a leasing agent, a maintenance coordinator, or whatever that their role may be. And I I think another aspect is and I'm curious how like how   Jason Hull (24:12) you should expect the same level of you know investment involvement if you will and trying to and try to help them be the best of like you know whether it's a leasing agent a maintenance coordinator or whatever that their role may be and I I think another aspect is and I'm curious that   like how you know when you guys are having conversations with clients around role descriptions stuff it's the concept of ownership like hey what you know how to how to align ownership to and lining that up to hopefully the mental business   Mo Hussein (24:28) you know, when you guys having conversations with clients around role descriptions and stuff, it's the concept of ownership. Like, hey, what, you know, how to how to align ownership to and lining that up to hopefully an eventual business outcome or KPI   or something so that, you know, their performance drives also the business performance, right? How have you guys had this conversation or how do you talk about kind of that concept? I can kind of allude to it without kind of explicitly calling it out.   Jason Hull (24:42) Kate guy or something so that you know their performance derives also the business performance, right? Yeah. How do you talk about kind of that concept? You kind of allude to it without kind of explicitly calling   it out. Yeah, I think well, sometimes I'll just totally call a business owner out on things. But I think what I think will be interesting is people are building starting to build agents. I think that they should.   They should have an understanding of personality types. I think they should have an understanding maybe or a conversation with AI about what Myers Briggs type might be good for this agentic role. And because like somebody that's really good at like strategy and the strategist role, which would be like an INTJ in Myers Briggs, might be good at some operational stuff, but they would be really terrible at customer service.   Mo Hussein (25:19) Mm-hmm.   Jason Hull (25:33) Because a lot of INTJs don't even like humans, right? And so they're logical thinkers and they're really judging and they're practical and they're in you know introverted and they're really bad at understanding how the other person feels or even expressing that. And so you're you you don't want to create these try and create AI AI agents that are multiple split personality types, because I don't think they're gonna be as effective. And you can't also, just like you wouldn't want somebody building the process.   QE QA QA of the process. You don't want them both. You don't want AI to be checking itself. Right. Right. The the brain that had problems doing the messing things up, maybe, or didn't do it totally right. You don't want them checking their own work. Right. And so, yeah, so I think this is going to be interesting that people are going to be building agents and they usually think just logically here's the context it needs, here's the role, whatever. But I think also maybe give it the personality that it.   Mo Hussein (26:08) Right, right.   Right.   Jason Hull (26:29) What's the disc assessment for this person, this agent? What's the Myers Briggs type for this agent? And then if especially if they're communicating with humans or doing a task that you want them to be somewhat human like, they're going to be much better at doing this if you give it you create them in the right way. Just an idea.   the other thing to know as a business owner, you need to know who you are so that you can build your dream team around you. So your advisors, whether they're agentic or human, your advisors, your team members, it should be built ultimately around you thriving and being healthy in your own business so that you've got the tea the tools and the resources that fit you. But most business owners make the mistake.   Of trying to build the business around the business and then wonder why they're miserable and why they're kind of a slave to their own business. Right.   Mo Hussein (27:16) Right. Right. Right.   Jason Hull (27:20) So anyway, Mo, measure, map, automate, MMA. Doesn't involve fighting too much. You know, like mixed martial arts. It's a little bit on the, you know, less physical side of things. fun chatting about.   Mo Hussein (27:26) No.   Jason Hull (27:34) all the the AI stuff that's going. How can people anything else that you want to add to our conversation here about yeah this model? And then could you tell us a little bit about what you do and how maybe you help property managers with this stuff? Yeah. Yeah. so I guess just to put it succinct, kind of a a sandwich kind of takeaway. So yeah, operators need to wait for a perfect AI.   Mo Hussein (27:48) Yeah. Yeah. so I guess just to put it succinctly, kind of a a a sandwich kind of takeaway. So, yeah, operators don't need to wait for a perfect AI strategy.   Start by identifying, measuring where value exists, where things are leaking, then mapping workflows and then deciding what can be safely automated and measuring whether those actions improve performance. and so   Jason Hull (28:00) Identifying, measuring where value exists, where things are leaking, then mapping workflows, and then deciding what can be safe and automated, and measuring whether.   Mo Hussein (28:10) like you know, over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks in the business can be   Jason Hull (28:10) So like you know over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks and the business   can be optimized.   Mo Hussein (28:37) Optimized further using   Jason Hull (28:38) Further using technology and automation, we have a platform that we've built, Prop Strata, to actually connect and help with that automation type effort. and we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com, and my emails mo at propstrata.com, or you can reach out to our team at info at balance asset.   Mo Hussein (28:39) technology and automation. We have a platform that we've built, Prop Strata, to actually connect and and help with that automation kind of efforts. then we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com and and then my email is mo at at propstrata.com or you can reach out to our team at info at balanceasset solutions.com.   Jason Hull (29:03) Cool. So they could take a look at this at propstrata.com.   Mo Hussein (29:07) Correct. W dot propstrata.com.   Jason Hull (29:11) Okay, cool. Very cool. All right. yeah, check that out, everybody. It sounds interesting. All right. Well, Mo, I appreciate you coming out and hanging out with me here on the DoorGro show and sharing everything.   All right.   So if   If you have ever felt stuck or stagnant in your property management business and you want to take it to the next level, reach out to us at doorgrow.com. We are the world's best at creating high-growth property management companies in the single-family residential space or the small multi-space. And if for a free training or how to get unlimited leads for free, text the word leads to 512-648-4608. That's 512-648-4608.   Also, join our free community just for property management business owners at doorgrowclub.com. And if you want tips, tricks, and ideas to learn about our offers, subscribe to our newsletter by going to doorgrow.com slash subscribe. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review on whatever channel you saw or heard this on. We'd really appreciate it. And until next time, remember the slowest path to growth.   is to do it alone. So let's grow together. Bye everyone.

La horrible realidad comercial de Ceuta en la crisis migratoria: "El 99% de los negocios están cerrados"

Joey Johns didn’t hold back after North Queensland copped an 82–12 pounding in Townsville.See omnystudio.com/listener for privacy information.

Joey Johns didn’t hold back after North Queensland copped an 82–12 pounding in Townsville.See omnystudio.com/listener for privacy information.

SPONSORS: Visit https://www.sleep.ME/ymh and never fight with your partner at bedtime again. Text YMH to 64000 for your 2 free gifts with the purchase of any Pocket Hose Ballistic hose. By Texting 64000, you agree to receive recurring automated marketing messages from Pocket Hose. Message frequency varies and data rates may apply. Text STOP at any time to opt out. Text HELP for additional Information. No purchase required. Terms apply, available at https://PocketHose.com/terms. Sup, chomos! Tom Segura welcomes the shaman himself, Matt McCusker of Matt and Shane's Secret Podcast back to the Mommy Dome. Tom opens the show with a clip of a man getting pepper sprayed off a plane sends them down a rabbit hole of taser videos, body cam channels, and sovereign citizens. Matt reveals his wife spent five years as a Philly cop, pulling her gun by week three, and Tom recalls his LAPD ride-along with an officer who answered "which time?" when asked if he'd ever fired his weapon. From there: Anthony Weiner debating his way out of a 3-on-1, why psychology is a fake science, the news that oysters are alive when you eat them, and how the World Cup is really America saying "you're welcome." Plus: a grizzly eats a black bear, a man sexually attracted to forests, a Horrible or Hilarious pool fall for the ages, and Matt's dad discovering Buc-ee's. Enjoy! Your Mom's House Ep. 870 https://tomsegura.com/tourhttps://christinap.com/https://store.ymhstudios.comhttps://www.reddit.com/r/yourmomshousepodcast Chapters 00:00:00 - Intro 00:03:55 - Opening Clip: You're Gonna Get Sprayed 00:04:55 - Tasers, Body Cams & Sovereign Citizens 00:08:52 - Matt's Wife Was Philly PD 00:14:33 - The Ride-Along Cop Who Killed Four People 00:18:27 - Taser Clips 00:24:19 - Trolling Telemarketers 00:30:51 - Pastor Manning 00:37:04 - Elite Debaters & Anthony Weiner 00:45:31 - Clip: Sexually Attracted To Forrests 00:47:11 - Animal Violence 00:51:54 - Welcome To USA 00:56:22 - Horrible Or Hilarious 01:05:26 - World Cup 01:12:21 - Closing Song - "Cool Guy Megamix" by Fart Simpson Learn more about your ad choices. Visit megaphone.fm/adchoices

I look for blind spots in my thinking or reasoning daily. I want to make sure that I'm not being delusional. You see, we are smart people, so we can't fall in the trap that everybody is as smart as we are. They are not. Now, I'm not being pompous. We are not always the smartest people in the room, but we are politically. And what I love about Trump is his ability to relate to the common man.  Add to that the fact that he knows how Democrats are, and he remains in IDGAF mode, and you get WINNING! All I can say is don't believe the hype.  Normally, we get one or two issues on either side that separate us. This is the first time politically that Leftist have NOTHING. Iran was their major issue and that's slowly dying, and after Trump finishes with Iran and building the coalition for that region of the world, that will be a feather in his cap. I expect this to happen soon. I can tell you that I have nothing but GREAT news for America today, which means it's HORRIBLE for the Left. Cracker Barrel's woke CEO Julie Felss Masino is stepping down after completely destroying the company. Kevin Jackson has been called, the "white-collar" Joe Rogan. Given their similar backgrounds in TV, comedy, and martial arts, it's easy to see why people enjoy Kevin's show so much. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We go pond jumping this week and head to the Isle of Wight for one of the strangest paranormal encounters ever reported: All Colours Sam, better known as the Sandown Clown.In 1973, two children claimed they met a nearly seven-foot-tall, three-fingered, three-toed, ghost-like humanoid living in a metal hut near Sandown Airport. Normal British stuff, we are pretty sure. Sam wore a pointed yellow hat, spoke through a strange device, said he was “a ghost in an odd sort of way,” and somehow managed to make eating berries look like advanced alien surgery.So what was All Colours Sam? An extraterrestrial? A robot? A folkloric entity? A man in a costume? Or one of the most bizarre childhood stories ever to escape into UFO and cryptid lore?We break down the full encounter, the witnesses, the weirdest details, what believers think happened, what skeptics say, and why the Sandown Clown mystery is still confusing paranormal researchers more than 50 years later this week on Hysteria 51.SourcesBUFORA Journal, Vol. 6, No. 5, Jan/Feb 1978 – “Ghost or Spaceman '73?”Internet ArchiveThink Anomalous – The Sandown “Ghost Clown,” 1973Think AnomalousOnTheWight – All Colours Sam, aka Sam the Sandown ClownOnTheWightOnTheWight – The Sandown Clown: Exploring Sam, the Isle of Wight's Surreal 1973 EncounterOnTheWightBBC Radio 4 / Uncanny – Cold Cases: Case 5: The Sandown ClownApple PodcastsOnTheWight – BBC Sounds and Cease to Exist Podcasts Turn Their Attention to All Colours SamOnTheWightSpooky Isles – The Sandown Clown: Fact or Fiction?Spooky IslesWeird Darkness – The Sandown Clown: All Colours Sam and the Isle of WightWeird DarknessIsland Echo – The Sandown Clown Returns to the Isle of WightIsland EchoBedtime Stories – The Sandown ClownThe Sandown ClownShrouded Hand – The Sandown Clown Incident: A Creepy Encounter With an Unknown EntityThe Sandown Clown IncidentEmail your Contest Entries to:ForthHandmedia@gmail.comEmail us your favorite WEIRD news stories:weird@hysteria51.comSupport the ShowGet exclusive content & perks as well as an ad and sponsor free experience at https://www.patreon.com/Hysteria51 from just $1ShopBe the Best Dressed at your Cult Meeting!https://www.teepublic.com/stores/hysteria51?ref_id=9022See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Note: "Act 1" was a separate published audio podcast.*Check out EZ's morning radio show "The InZane Asylum Q100 Michigan with Eric Zane" Click here*Get a FREE 7 day trial to Patreon to "try it out."*Watch the show live, daily at 8AM EST on Twitch! Please click here to follow the page.Email the show on the Shoreliners Striping inbox: eric@ericzaneshow.comTopics*Two dudes switched at birth...figure it out 40 years later; hospital getting sued.*LeBron the the 76ers. Trump hates LeBron; thinks he's racist.*Stupid kids getting burnt by NeeDoh,*Horrible gymnastics mishap*Brat kicks the shit out of opponent in futsal game.*Dudes jump out of space needle.*EZ now hates Jase and Josh.*Bro impales himself on hiking pole, walks down mountain to hospital; has sex with two dudes.*Asshole of the DaySponsors:Lexi Marie Photography, West Michigan Whitecaps, Impact Powersports, Kuiper Tree Care, Frank Fuss / My Policy Shop Insurance, Kings Room Barbershop, Shoreliners,  Ervines Auto Repair Grand Rapids Hybrid & EV, TC PaintballInterested in advertising? Email eric@ericzaneshow.com and let me design a marketing plan for you.Contact: Shoreliners Striping inbox eric@ericzaneshow.comDiscord LinkEZSP TikTokSubscribe to my YouTube channelHire me on Cameo!Tshirts available herePlease subscribe, rate & write a review on Apple Podcastspatreon.com/ericzaneInstagram: ericzaneshowTwitterAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

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Horrible stories of illegal immigrants committing crimes come to light even after ICE issued detainers, but sanctuary cities refused to honor the detainers and New Jersey confirming that non citizens were entered onto the voter rolls. Learn more about your ad choices. Visit megaphone.fm/adchoices

Big Dipper and Meatball welcome the hilarious Eliot Glazer to talk about his new book and unpack mustache grooming, and hosting sex parties without spiraling. They swap locker room sexual awakenings and get into why gay people love labeling everything. Meatball reveals she's a supersmeller, declares Dipper a sex pest, and Dipper gives tips on how to photograph your own booty hole. Plus, the trio debate boyfriend twins and the changing world of stand-up comedy, and remind us all that body hair is not a crime.Listen to Sloppy Seconds Ad-Free AND One Day Early on MOM Plus⁠Call us with your sex stories at 213-536-9180!Or e-mail us at ⁠sloppysecondspod@gmail.com⁠⁠FOLLOW SLOPPY SECONDS⁠⁠FOLLOW BIG DIPPER⁠⁠FOLLOW MEATBALL⁠⁠SLOPPY SECONDS IS A FOREVER DOG AND MOGULS OF MEDIA (M.O.M.) PODCASTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Non-linearly begin and end your journey across a wide range of cursed islands! We discuss Christopher Nolan’s “The Odyssey,” a film now in theatres and a story that’s (nearly) 3,000 years old! Pig sculpting! Lotus eating! Horrible horse hiding! Were we the sea people all along? That’s a tale as old as time. Jason Snell with Brian Warren, Glenn Fleishman, Kathy Campbell and Moisés Chiullán.

John Harbaugh gave one of the worst hype speeches ever in front of the Giants, and Michelle talks about it as part of All the Small Things. Also, have we gotten any closer to LeBron James making a decision on where he'll play? Plus, Lane Kiffin talked about what it means to be the coach of LSU. Learn more about your ad choices. Visit podcastchoices.com/adchoices

John Harbaugh gave one of the worst hype speeches ever in front of the Giants, and Michelle talks about it as part of All the Small Things. Also, have we gotten any closer to LeBron James making a decision on where he'll play? Plus, Lane Kiffin talked about what it means to be the coach of LSU. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Non-linearly begin and end your journey across a wide range of cursed islands! We discuss Christopher Nolan’s “The Odyssey,” a film now in theatres and a story that’s (nearly) 3,000 years old! Pig sculpting! Lotus eating! Horrible horse hiding! Were we the sea people all along? That’s a tale as old as time. Jason Snell with Brian Warren, Glenn Fleishman, Kathy Campbell and Moisés Chiullán.

The Pirates got two great starts on Wednesday, but the bullpen faltered once more. Chandler had one of his best starts ever. DK made a horrible decision. A caller gives his take.

The Pirates got two great starts on Wednesday, but the bullpen faltered once more. Chandler had one of his best starts ever. DK made a horrible decision. A caller gives his take. Colin Beazley joins to give his thoughts on the game-ending replay challenge, the decision to pull Chandler, who the internal bullpen options are, how much longer Ozuna be on the roster, if the Pirates should extend Valdez soon and his great approach, Jacob Gonzalez's future role, Brandon Lowe's struggles, is Oneil Cruz could be moved, who Colin would be willing to trade. 

Quit smoking in only 30 days: https://quitsmokingtodaypodcast.com/hypnosis

The Prophecy Pros discuss the pagan history, and prophetic significance of the valley that runs along the south-western side of ancient Jerusalem. *PROPHECY PROS ACADEMY* *LATEST BOOK RELEASES FROM THE PROPHECY PROS** The Non-Prophet's Guide to the Rapture — Todd Hampson The Non-Prophet's Guide to Heaven — Todd Hampson The End of the World According to Jesus of Nazareth — Jeff Kinley The Non-Prophet's Guide to the Book of Daniel — Todd Hampson The Prophecy Pros' Illustrated Guide to Tough Questions About the End Times — Jeff Kinley, Todd Hampson God's Grand Finale — Jeff Kinley For more resources, visit HarvestProphecyHQ.com

EZ back Monday, July 27, 2026Segments include:*EZ out in the wild at the mall leads to some poignant observations*Pooh Bear with more hot flashes...gives us a too much info*Gettysburg College racist incident*Shithead Detroit Mayor paying the price for being an asshole*EZ on Bud Dwyer. If you look hard enough, you can find the video I'm describing.*A little more on Corey being a huge cock to Kenney.*Kenney's star has never been brighter. He's 50 pounds lighter, everyone loves him, He has been ghosted yet. What a time to be Kenney!*EZ still loving the pic of Kenney at Christmas*EZ as a kid wasting tons of time doing stupid computer programs from "Compute! Magazine"*Local dumbshit drug addict gets nose rearranged.*Years of EZ's "neck crackin'" is coming back to haunt him.*Bosco's Pub news.*Horrible behavior at Atlanta Falcons game.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Donald Trump is cratering in several new polls: They have his approval at an average of 22 points underwater. That's just abysmal. Indeed, as CNN's Harry Enten notes in a striking on-air analysis, it's a “record” and “the worst this century,” worse than both George W. Bush and Barack Obama at similar points in their second terms, which produced midterm wipeouts. And Enten points out that Trump is 45 points underwater with independents, also a new record. Enten concludes: “These are horrible numbers!” And yet there are numerous signs that Democrats are not converting this into quite the midterm edge they need. So we talked to veteran Democratic strategist Christina Reynolds. We discuss why the Democratic advantage is insufficient as of now, what's really making that happen, how to turn it around, and why Trump's awful numbers will likely prove impossible for the GOP to outrun in the end.  Looking for More from the DSR Network? Click Here: https://linktr.ee/deepstateradio Learn more about your ad choices. Visit megaphone.fm/adchoices

“One thing have I desired of the Lord, that will I seek after: that I may dwell in the house of the Lord all the days of my life.” — Psalm 27:4 Few passages in St. Isaac the Syrian can be as easily misunderstood as this one. Read superficially, it can sound severe, even offensive to modern ears. His warnings about women, nuns, relatives, and young companions may appear to reflect suspicion toward persons rather than wisdom about the spiritual life. Yet such a reading overlooks both the monastic setting in which Isaac writes and the deeper concern that governs every line of his counsel. Isaac is not teaching that women are a source of evil, nor is he diminishing the goodness of family or friendship. Throughout his writings, his attention is never fixed upon others as dangers in themselves. His gaze remains fixed upon the heart and its extraordinary capacity both for communion with God and for subtle distraction. The repeated refrain of this passage reveals its true center: “lest your heart be chilled from the love of God.” This is the thread that binds together everything he says. The heart, once awakened to divine love, must be protected, not because God is fragile, but because we are. Human desire is easily dispersed. Our attention becomes fragmented. Emotional attachments, conversations, familiarities, anxieties, ambitions, and countless innocent occupations can gradually occupy the inner sanctuary that belongs to Christ alone. Rarely does this happen through great acts of rebellion. More often it happens through slow diffusion, until the fire quietly burns less brightly than before. For this reason Isaac begins, not with avoidance, but with humility. Refuse no lowly task. Judge no one. Consider yourself accountable for another's fall. Hide your spiritual struggles. Seek only one wise and God-fearing confidant. Live quietly. Every one of these counsels gathers the heart inward. They free it from the endless outward movement of self-assertion and return it to the simplicity of standing before God. His counsel regarding relationships belongs within this same ascetical vision. He is writing to monks who have embraced a radical vocation of celibacy and solitude, where even legitimate human affections must be carefully ordered lest they become substitutes for the all-consuming love of Christ. His language reflects the rigor of that calling and the assumptions of his own historical and monastic world. It should not be detached from that context or mechanically applied to every Christian life. Yet beneath these historically conditioned expressions lies a spiritual principle of enduring importance. Every disciple of Christ must ask what quietly draws the heart away from its first love. For some, it may indeed be disordered relationships. For others, it is success, constant activity, endless news, resentment, comfort, or the subtle desire to be admired. The forms differ from person to person, but the interior movement remains the same. Anything that gradually occupies the deepest affection of the heart risks cooling the love that belongs to Christ. Isaac's asceticism is therefore not an asceticism of fear but of love. He is not constructing walls around the monk because the world is unclean. He is protecting a flame. The one who has begun to taste the sweetness of communion with God discovers that there is nothing more precious than preserving that intimacy. Every act of vigilance becomes an expression of love. Every renunciation becomes the joyful refusal to exchange what is eternal for what is passing. Paradoxically, this vigilance does not diminish our capacity to love others. It purifies it. Detached from possessiveness and emotional need, the heart becomes capable of a deeper tenderness, one that seeks the good of the other without making the other the source of its life. The more wholly the heart belongs to Christ, the more freely it can belong to everyone else. This is where Isaac is leading us. Not toward fear of the world, nor toward suspicion of human relationships, but toward that simplicity of heart in which nothing is loved apart from God and everything is loved within Him. Only such a heart remains truly free. Only such a heart can receive every person as gift without ever losing the Giver. --- Text of chat during the group: 00:01:53 Fr. Charbel Abernethy: Page 215 paragraph 5 00:09:59 Fr. Charbel Abernethy: https://www.philokaliaministries.org/post/a-new-book-from-city-a-desert-press 00:14:47 Maureen Cunningham: How do I find Christina the Nun I was telling a friend 00:15:00 John ‘Jack': ❤️ 00:15:26 James Hickman: Second Sunday of Easter (or Sunday of Divine Mercy) https://bible.usccb.org/bible/readings/041226.cfm 00:15:37 Adam Paige: search "Nun Christina" on Amazon 00:15:40 Ambrose Little: Hi, Ren! 00:15:52 Ren Horcher: Reacted to "Hi, Ren!" with ❤️ 00:18:31 Bob Čihák, AZ: P 215, #5, second paragraph 00:21:52 Bob Čihák, AZ: Reacted to "Hi, Ren!" with ❤️ 00:35:13 Aaron: What would ‘linger' and ‘gaze'? Do those terms have different meanings? 00:35:32 Aaron: What would ‘linger' and ‘gaze' mean?* 00:37:06 David Swiderski: A spiritual director I had always said when you stop seeing Christ look away back towards him 00:38:19 Bob Čihák, AZ: P 215, #5, second paragraph 00:39:29 Rebecca Thérèse: I've spent a lot of time travelling alone in Morocco wearing Muslim clothing so I would not stand out. Muslim men do not look directly at women who they are not related to. This felt a little unusual at first but eventually I felt very respected by it. They listened very attentively to me and were very helpful but they never looked at me at all after the first glance. (Moroccan women looked at me and would also touch my hands and my clothing). 00:40:33 Rebecca Thérèse: The attitude of Muslim men is that they do not have the right to look at women. 00:53:04 Aaron: What does St. Isaac mean when he says ‘one who is poor in his place of dwelling' ? 00:54:40 John ‘Jack': One of my very closest confidants is a dear freind who has Glioblastoma Brian cancer 26 years ago, was given 24 hours to live.  He's had 7 years of Hama radiation abs a lobotomy, he's one of the most sincere followers I know, and makes a wonderful confidant as he has a HORRIBLE memory as he literally only has about 1/2 a brain, he's a beautiful man 00:55:31 John ‘Jack': I love him dearly 00:55:34 James Hickman: Unless a side fall and die 00:55:43 James Hickman: Seed 00:59:49 Maureen Cunningham: Wow he looks perfect 01:11:46 James Hickman: We can judge those we are closest with, for the tempter wants to trap us in that familiarity 01:15:48 Maureen Cunningham: Seem the world hate Christians we can easily join in 01:15:48 Adam Paige: I found Fr Charbel's upcoming volume as a Kobo e-book, and you can read a 26-page preview (Author's Note and Prologue): https://kobo.com/en/ebook/the-monastic-heart-and-the-future-of-the-church 01:17:44 Rachel: Yes! So beautiful 01:18:19 Ben: Anna: These paragraphs are heavy and my inclination is to turn away from them as something for someone else. 01:18:24 James Hickman: Will this be an audiobook? 01:19:16 Sr Barbara Jean Mihalchick: For me it's shades of novitiate training... 01:20:41 John ‘Jack': Be plucky 01:21:00 Joan Chakonas: Books are the deposit of the faith- essential 01:22:12 Joan Chakonas: I think where would we be without all of these pages of wisdom? 01:25:25 David Swiderski: Thank you Father may God bless you, your mother and Ren and her husband 01:25:28 Rebecca Thérèse: Thank you☺️ 01:25:34 Art: Thank you! 01:26:08 Rachel: Thank you! 01:26:08 Aaron: Thank you Father 01:26:11 Gwen's iPhone: Ty

Donald Trump is cratering in several new polls: They have his approval at an average of 22 points underwater. That's just abysmal. Indeed, as CNN's Harry Enten notes in a striking on-air analysis, it's a “record” and “the worst this century,” worse than both George W. Bush and Barack Obama at similar points in their second terms, which produced midterm wipeouts. And Enten points out that Trump is 45 points underwater with independents, also a new record. Enten concludes: “These are horrible numbers!” And yet there are numerous signs that Democrats are not converting this into quite the midterm edge they need. So we talked to veteran Democratic strategist Christina Reynolds. We discuss why the Democratic advantage is insufficient as of now, what's really making that happen, how to turn it around, and why Trump's awful numbers will likely prove impossible for the GOP to outrun in the end.  Looking for More from the DSR Network? Click Here: https://linktr.ee/deepstateradio Learn more about your ad choices. Visit megaphone.fm/adchoices

Donald Trump is cratering in several new polls: They have his approval at an average of 22 points underwater. That's just abysmal. Indeed, as CNN's Harry Enten notes in a striking on-air analysis, it's a “record” and “the worst this century,” worse than both George W. Bush and Barack Obama at similar points in their second terms, which produced midterm wipeouts. And Enten points out that Trump is 45 points underwater with independents, also a new record. Enten concludes: “These are horrible numbers!” And yet there are numerous signs that Democrats are not converting this into quite the midterm edge they need. So we talked to veteran Democratic strategist Christina Reynolds. We discuss why the Democratic advantage is insufficient as of now, what's really making that happen, how to turn it around, and why Trump's awful numbers will likely prove impossible for the GOP to outrun in the end.  Looking for More from the DSR Network? Click Here: https://linktr.ee/deepstateradio Learn more about your ad choices. Visit megaphone.fm/adchoices

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Spain were the best team throughout this World Cup and deserved their victory over a vicious, petulant Argentina side in Sunday's final in New Jersey. We dissect the chaos of the final at the MetLife, why Spain's win was a win for football and whether we will ever see Messi on the world stage again. Plus we reflect on England's campaign after a wild 10-goal thriller against France in the ridiculously named bronze medal match. SUBSCRIBE NOW: ⁠https://footballsocialdaily.supportingcast.fm/⁠NEW: Instagram: ⁠https://www.instagram.com/fsdpod?igsh=MjQ5d29veGdoMmZ4&utm_source=qr⁠ Twitter: ⁠https://twitter.com/FSDPod⁠ TikTok: ⁠https://www.tiktok.com/@footballsocialdaily⁠ Telegram Group: ⁠https://t.me/FootballSocialMerch Store: https://www.etsy.com/uk/shop/FootballSocialDaily Learn more about your ad choices. Visit podcastchoices.com/adchoices

Land of the Lost is a disaster on almost every level… but is still one of Kade's favorite movies. We break down how Universal bought the rights to this movie with the sole purpose of putting Will Ferrell in it at the peak of his career, and how it still managed to flop harder than almost any movie in Hollywood history. We talk about why this is the only movie Will Ferrell and Danny McBride ever made together and why that alone makes it worth watching. We get into how the original creators of the TV show publicly apologized at Comic-Con and called it one of the worst films ever made. And we discuss why despite all of that, this movie gets exponentially funnier every single time you rewatch it.Chapters:00:00 Announcements & Intro0:52 Why are we watching this movie?9:03 Horrible plot16:08 Massive flop24:57 Jorma Taccone out of nowhere32:16 A universally hated movie42:02 The lines that made it's way into Kade's vocabulary54:22 Adam McKay almost graced us with directing59:26 Has Will Ferrell lost his touch?1:05:29 Final thoughts

tookiesoup.com

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¿Cómo un supuesto atajo terminó convirtiéndose en una de las tragedias más impactantes de la historia de Estados Unidos?  En este episodio de Leyendas Legendarias, Badía, Eduardo Espinosa y Mario Capistrán cuentan la escalofriante historia del Grupo Donner, una expedición de pioneros que quedó atrapada durante meses en la Sierra Nevada tras seguir una ruta que prometía ahorrar tiempo... y terminó condenándolos. Una historia de errores, orgullo, supervivencia extrema, hambre, decisiones imposibles y uno de los casos de canibalismo más famosos de la historia.  Entre datos históricos, humor negro y el inconfundible estilo de Leyendas Legendarias, descubrirás por qué esta tragedia sigue fascinando casi dos siglos después. También puedes escucharnos en Spotify, Apple Podcasts, Amazon Music o tu app de podcasts favorita. Apóyanos en Patreon:https://www.patreon.com/leyendaspodcast Apóyanos en YouTube:https://www.youtube.com/c/leyendaslegendarias/join Visita nuestra página para ver contenido extra:https://www.leyendaslegendarias.com Síguenos:https://instagram.com/leyendaspodcasthttps://www.tiktok.com/@leyendaspodcasthttps://twitter.com/leyendaspodcasthttps://facebook.com/leyendaspodcast #Podcast #LeyendasLegendarias

¿Cómo un supuesto atajo terminó convirtiéndose en una de las tragedias más impactantes de la historia de Estados Unidos?  En este episodio de Leyendas Legendarias, Badía, Eduardo Espinosa y Mario Capistrán cuentan la escalofriante historia del Grupo Donner, una expedición de pioneros que quedó atrapada durante meses en la Sierra Nevada tras seguir una ruta que prometía ahorrar tiempo... y terminó condenándolos. Una historia de errores, orgullo, supervivencia extrema, hambre, decisiones imposibles y uno de los casos de canibalismo más famosos de la historia.  Entre datos históricos, humor negro y el inconfundible estilo de Leyendas Legendarias, descubrirás por qué esta tragedia sigue fascinando casi dos siglos después. También puedes escucharnos en Spotify, Apple Podcasts, Amazon Music o tu app de podcasts favorita. Apóyanos en Patreon:https://www.patreon.com/leyendaspodcast Apóyanos en YouTube:https://www.youtube.com/c/leyendaslegendarias/join Visita nuestra página para ver contenido extra:https://www.leyendaslegendarias.com Síguenos:https://instagram.com/leyendaspodcasthttps://www.tiktok.com/@leyendaspodcasthttps://twitter.com/leyendaspodcasthttps://facebook.com/leyendaspodcast #Podcast #LeyendasLegendarias

El primer beso jamás se olvida, sobretodo si fue con esa personita especial que tanto te gustaba en la escuela. Aunque a veces sale muy bien, hay veces que sale tan horrible que deseamos que nunca hubiera pasado. Mantente al día con los últimos de 'El Bueno, la Mala y el Feo'. ¡Suscríbete para no perderte ningún episodio!Ayúdanos a crecer dejándonos un review ¡Tu opinión es muy importante para nosotros!¿Conoces a alguien que amaría este episodio? ¡Compárteselo por WhatsApp, por texto, por Facebook, y ayúdanos a correr la voz!Escúchanos en Uforia App, Apple Podcasts, Spotify, y el canal de YouTube de Uforia Podcasts, o donde sea que escuchas tus podcasts.'El Bueno, la Mala y el Feo' es un podcast de Uforia Podcasts, la plataforma de audio de TelevisaUnivision.

Howie Kurtz on the sudden passing of Senator Lindsey Graham and the conspiracy theories surrounding his death, a federal judge's rejection of a multi-billion dollar fund for January 6th convicts, and a multi-state lawsuit aiming to block Paramount's acquisition of Warner Bros. Discovery. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode 1994 - brought to you by our incredible sponsors: Ultra Pouches - Don't sleep on @ultrapouches. New customers get 15% Off with code HARDFACTOR at takeultra.com!  Better Help - Don't let stigma stand in the way of support. Start therapy with BetterHelp. Sign up and get 10% off at BetterHelp.com/HARDFACTOR. 00:00:00 Timestamps 00:02:00 Zuess was a dogg 00:04:30 Toddler pronounced dead by Dr. found alive in morgue five hours later 00:19:30 Horrible flooding in China leads to 900 snakes swimming around towns 00:29:30 Man cuts off own penis and then sets it on fire and gets arson charge  For more head over to patreon.com/hardfactor for weekly bonus episodes and most importantly HAGFD! Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's episode, the boys are back together. Steve plays a game, Elliott loses his Internet, and Joe loses his patience. We talk about Steve being patient zero for Covid, AND we talk about a new horrible sickness that just dropped. How exciting! Music/SFX: If you like our sounds, sign up for ONE FREE MONTH on us at Epidemic Sound! Over 30,000 songs: http://share.epidemicsound.com/n96pc Follow The Valleyfolk across the digital globe: http://twitter.com/TheValleyfolk http://instagram.com/TheValleyfolk http://facebook.com/TheValleyfolk Follow the group on their personal socials: Joe Bereta: http://twitter.com/JoeBereta http://instagram.com/joebereta Elliott Morgan: http://twitter.com/elliottcmorgan http://instagram.com/elliottmorgan Steve Zaragoza: http://twitter.com/stevezaragoza http://instagram.com/stevezaragoza http://twitch.tv/elliottmorgan It's a poop thing.

Today's Sports Daily covers a possible solution for how to end World Cup games that are tied?, the USMNT's horrible record when giving up the first goal, Mark Cuban not happy with Mavs management, and the 5-for-5 model coming in college sports.       Music written by Bill Conti & Allee Willis (Casablanca Records/Universal Music Group)  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Rod and Karen recap “House of the Dragon.” Patreon: https://www.patreon.com/theblackguywhotips Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@rodimusprime⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@SayDatAgain⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@TBGWT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@TheBlackGuyWhoTips⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theblackguywhotips@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blog: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.theblackguywhotips.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Teepublic Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- https://the-black-guy-who-tips-podcast.dashery.com/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazon Wishlist⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – https://www.amazon.com/hz/wishlist/ls/1PDD9JUQUNVY5?ref_=wl_share ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Crowdcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – https://www.crowdcast.io/theblackguywhotips Voicemail: ‪(980) 500-9034Go Premium: https://www.theblackguywhotips.com/premium/See omnystudio.com/listener for privacy information.

Well Eli had an absolutely surreal 12 hours immediately before recording, so the dudes get into it. At least we all have each other. Join the Facebook Group! facebook.com/groups/dearolddads For comments, email thedads@dearolddads.com

This week on the Just Sayin Podcast, the hilarious Eliot Glazer makes his triumphant return to promote his new book “The Terrible, Horrible, No Good, Very Bad Gay.” Available now to order and avail in stores August 11th. Order here at bit.ly/VeryBadGay This week we dive into the 4th of July, Our Lillith Fair Astrology signs, Queer Eye Drama…surprise, growing up not knowing, and of course Taylor and Travis. Make sure to get Eliot's book for your summer reading pleasure and like and subscribe in the comments below. More Justin! ⁠IG: ⁠⁠https://www.instagram.com/justinmartindale/⁠⁠⁠ ++++++++++++++++++++++++++++ Produced by Keida Mascaro IG: ⁠⁠⁠https://www.instagram.com/keidamascaro/⁠⁠⁠ Alphabet City Studio ⁠⁠⁠https://keidamascaro.com⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Christina P is back touring! Check her out in Chicago September 18th and 19th. Get your tickets at https://christinap.com/pages/tour-dates SPONSORS: Look for Mountain Dew in stores near you at https://mountaindew.com. Go to https://quince.com/mom for free shipping and 365-day returns Sign up for your $1 per month trial and start selling today at https://shopify.com/ymh For simple, online access to personalized and affordable care for Hair Loss, Weight Loss, and more, visit https://Hims.com/YMH. Sup, chomos! This week, Caleb Hammer, host of Financial Audit joins the Mommy Dome to talk money, mayhem, and the chaos of his own show. Caleb grew up broke and clawed his way out of massive debt, all while interviewing some of the internet's most financially unhinged people on Financial Audit. The conversation covers the actual hard math behind why most Americans can't survive an $800 rent payment, the case for buying a house even when renting is cheaper, and how nearly 40 states now require a personal finance class in high school, which means "nobody told me" will officially stop working as an excuse. Caleb also breaks down the wildest things his guests have said on camera, including unprompted racism, casual tax evasion confessions, and one woman who's never filed a return in her life with zero consequences. They also run through Horrible or Hilarious clips, debate whether financial domination clients just need to "drop the N-word" more, and dive deep into Mike Fedele, the only tax man offering both IRS advice and detailed sexual positioning tips in the same breath. Caleb also opens up about a serious flying phobia that led him to charter a tiny private jet just to feel in control, and gets talked into a future helicopter ride by Tom. Enjoy! Your Mom's House Ep. 866 https://tomsegura.com/tourhttps://christinap.com/https://store.ymhstudios.comhttps://www.reddit.com/r/yourmomshousepodcast Chapters 00:00:00 - Intro 00:01:26 - Delusions, Maxed Credit Cards, & Decades of Debt 00:05:14 - Building Financial Audit From Scratch 00:17:28 - Opening Clip: Hey Retard 00:18:53 - The "Blackie" Cruise Couple & Hard R Drops 00:27:35 - YMH Staff Financial Questions & Confessions 00:34:16 - 50/30/20 Budgeting, Diverse Portfolios, & Success Stories 00:41:37 - Mike The Tax Guy 00:46:37 - Cool Sales Pitches 00:47:58 - Horrible Or Hilarious 00:50:17 - General Advice & Fear Of Flying 00:56:26 - Clip: Leaky Rump 00:57:32 - Clip: Fancy Chef Wants To Meet The Mayor 00:59:11 - Austin Property Taxes & Niagara Falls 01:03:51 - More YMH Staff Confessions 01:08:41 - Food Stamps, Roommates & The Best Head Debate 01:15:51 - Closing Song - "Brass Tax" by The Onibaka Learn more about your ad choices. Visit megaphone.fm/adchoices