Kraft presents the great gilder sleeve Cheese company will also bring you Bing Crosby every Thursday night present each week at this time Harold Perry as the great gilder sleeve written by John Whedon and Sam Boyd There for the great gilder sleeve in just a moment But first what's the reason you home makers favor certain foods? Is it because they have a flavor that particularly pleases the family appetites or you buy them for reasons of economy? or maybe nutrition is your most important consideration. Well, one food that you'll find is entirely satisfactory for all three reasons is parquet, the quality margarine made by craft. Parquet margarine is a favorite in millions of homes as a spread for bread and as an appetizing seasoning for hot vegetables. You'll find too that it's grand when used for baking and pan frying. What's more, parquet margarine is wonderfully nutritious. In fact, it's one of the best energy foods you can serve and in summer as well as in winter, every pound contains 9,000 units of vitamin A. Now as for economy, parquet margarine costs a little cash and requires just five red ration points per pound. So for flavor, for good family nutrition, and for red stamp and cash economy, serve parquet, P-A-R-K-A-Y. Parquet margarine made by craft. Now let's hurry on to Summerfield where the whole town seems to be in a flurry of excitement and anticipation. Cakes are a baking and gifts are wrapping and tongues are wagging. On the morning of his last day as a bachelor, we find the Great Gilder Sleeve lingering alone over breakfast and studying his nerves with a fourth cup of coffee. Often the kitchen comes the sound of birdies rejoicing. No! Birdie! Yes, sir. For goodness sake. So you want Mr. Gilles Sleeve? If you must sing, sing something cheerful. Yes, sir. Where is everybody? Where's Marjorie? Where's Lee Roy? Mr. Gilles Sleeve. They came and they went. Lee Roy didn't even finish his Popsies. No, sir. I've been around somewhere. I don't know what's the matter with everybody here. I don't know what everybody is so sad about. Have to eat breakfast alone. Have to listen to that. Nobody knows how happy I am. Birdie! Yes, sir. Nothing. Let it go. Let it go. Don't rush off, Marjorie. Come in and sit down with your old uncle while he finishes breakfast. Won't you? But I had mine hours ago. I know. But just sit with me, won't you? Well, just a minute. I don't know what it is. Everybody seems to be avoiding me. Have I done something? No, Uncle Mort. No. Of course not. Birdie hardly speaks to me. You haven't been around all morning. I'd even be glad to see Lee Roy. What's wrong, Marjorie? Nothing, I guess. Everything. I can't explain. You wouldn't understand. Is it Ben? You miss him, don't you? Sure I miss him.  Why, Marjorie, I'm going to be around. Because I'm getting married? That doesn't mean anything's going to be changed. Marjorie, you don't think I'd... Marjorie! Don't ask me! I give up. Birdie! Yes, Mr. Gillespie? Tell me, what's the matter with everybody this morning? I don't know, Mr. Gillespie. Maybe the June bug has got him. What's the matter? Has the June bug got you too? Yes, I guess it has. I give up.  I've asked you before, please, not to sing that song. What's the matter? Don't you like it? I like the song, but I don't like your rendition. Sorry, Mr. Gillespie, excuse me. Yes, Birdie, what do you want? No good. Come here, young man. I'm just trying to put you in the mood. You're going to put me in a sanitarium. I'm trying to talk with Birdie here and you stick your shirt tail in.  Now go find something to do. Gosh, just getting to a guy can't even open his mouth around here.  I heard that. Well, Birdie, what is it you wanted to say? Well, sir, I suppose after you get married tomorrow, you probably won't be meeting me anymore, huh? Won't need you anymore. Birdie, stop talking nonsense. Well, you'll be married then and Mrs. Ranson probably got different ideas. Listen, what's going on here? Has anybody gone crazy? Just because I'm getting married, the world doesn't have to come to an end. People have gotten married before, you know. People have been getting married for 15 or 20 years now. Gods, I never saw such a gloomy place. Marjorie crying, Leroy sulking, you talking about leaving. I can't stand it. I'm getting out of here. What can I do for you this married morning? Give me something for a headache. A headache? Well, would you say you were suffering from an intestinal headache or an eye strain headache or a brain fatigue headache? I've just got a great big headache, PV. Haven't you just got a plain headache cure? Well, now, Mr. Gildishly cures the word we pharmacists like to avoid. Most headache remedies, for example, simply alleviate. Oh, they do. Then for heaven's sakes, alleviate mine quick, will you? All right, sir. Let me see. I've got a new preparation here. The wholesale man has been pushing. It's called head ease. Well, give me some of that. I'll try anything. Here, take this with a little water. Thank you, PV. It'll be a few minutes before that takes effect. That is, if it does. Thank you, Frank. I might as well wait here then. If I go home, it'll just start again anyway. A headache caused by domestic difficulties, Mr. Gildishly? Yes, Mr. PV. By George, the way they're all behaving, you'd think they had to get married tomorrow. No, my tomorrow is the happy day, isn't it? It's tomorrow. Tell me, is it normal for a man to be a little twitchy at the day before his wedding? Normal, Mr. Gildishly? Well, if anyone could say for sure what's normal and what isn't, he'd be a wise man. Don't get off the track, PV. Were you nervous the day before your wedding? Well, I wouldn't say nervous exactly, although my temperature went up to 99 and 2-tenths. Fahrenheit, I suppose. Yes, I checked it on two thermometers. My symptoms are different, PV. My left eye jumps. I've got a twitch in my left elbow, too, and, well, sort of a general apprehensive feeling. I'd say it was possible that those symptoms all had some sort of psychological basis. You mean you think they'll all disappear as soon as I'm married? Well, no, I wouldn't say that. That reminds me, I hope you won't mind, but Mrs. PV and I sent Mrs. Ransom a wedding gift. Oh, well, that was very nice of you and Mrs. PV. There's nothing to get excited about, Mr. Gildersleeve. It's a radish bowl. Oh. Well, it's nice for radishes, anyway. What I started to say was we didn't have it monogrammed. Oh, that's all right, PV. Thanks, anyway. I've always been leery of monograms ever since my brother's wedding was canceled at the last minute. Uh, canceled? Yes. And, Mr. Gildersleeve, you would just can't imagine the trouble there was returning those wedding presents. Oh, it must have been terrible. How did it happen that your brothers... The monogram things were the worst, I remember. Stores won't take them back, you know. I know. You say the wedding was canceled? This particular monogram was especially awkward because it happened to be QQP. A little off the beaten path, you might say. Miles from it, PV. How did it happen your brother's wedding was canceled? Well, I'll tell you. This was my younger brother. Have you ever knew him? Lasseter, PV? No. Never met Lasseter. He was engaged to Mariah, girl. A dancer named Queenie Quinn. I told you the monogram was QQP. Yes, you told me. Well, just the day before the wedding, he went to see her and she took a fence at some remark of his. She asked him to leave the house and the next day she refused to marry him. You don't say. Yes, sir, and she was as good as her word. There was no other man involved. Oh, no. Your brother didn't lose all his money or anything. No. The girl just called the whole thing off because of a chance remark? Well, I'm not sure, Mr. Gillersleeve. Knowing the lady in question, I always thought maybe Lasseter made that remark on purpose. Yes. Well, I think I'll be running along now, PV. Well, how about a sedative for that jumpy feeling, Mr. Gillersleeve? I don't need it, PV. I feel much better now. A remark, eh? All I need is a good remark. Leela, I'll say you and I have got to have an understanding. Things are going to be different around here after we're married. Things are going to be done the way I want. And if you don't like it now, it's the time to do something about it or forever after, hold your peace. I'll tell her. Leela? I'm a darling. Leela, you and I have got to have an understanding. Darling, I'd love to have an understanding with you. Uh, you would? Of course, right now I'm a little busy. No, right now. All right, darling. I just thought with the wedding and all... The wedding can wait. If you say so, darling, of course. You don't have to be such a martyr about it. Darling, nothing in the world is as important to me as what you want to do. You know that. Huh?  I don't want to sit down. Well, then maybe you'd like to walk in the garden. The roses are gorgeous.  Oh, well then...  Let's sit down. All right, lads. Darling, your tie's all crooked here. Let me fix it. You know, you need someone to take care of you. You rarely do. What's the matter with my tie? I like it the way it is. Throck Martin, you're being just a teensy bit difficult this morning. Who's being difficult? Just because I make a chance remark about a tie, you try to make a great big issue out of it. Well, if you don't like it... Oh, darling, don't misunderstand me. I love you when you're being difficult. Huh? It reminds me of Beauregard. Beauregard? I'll never forget when I was married to Beauregard. When he got up in the morning, he was always cross as a bear till it had his breakfast. Well, I've had breakfast. Why, why, someone, as he'd feel so mean, he deliberately tried to pick a quarrel with me. And then I'd kiss him and it made him so mad. You mean he quarreled with you and you liked him for it? Oh, gracious, no woman wants a man who has no spirit. Huh, Peavey ought to get around more. Oh, I said, I'm sorry if I seem Peavey. Great. The fact is, uh, well, I've come here to confess something, Leela. Oh, I love confessions. Leela, please, be serious. I'm serious, darling, go on. Well, I feel I should tell you this, Leela. I feel that I should warn you. I'm not worthy of you, my dear. Oh, throughout, Martin, don't be silly. I'm not. I'm a terrible fellow, really. Hardly anybody likes me. There are things about me you don't know, Leela. I've done things you wouldn't believe. Why, how fascinating! Tell me about it. I couldn't, Leela. I couldn't. They're the kind of things people don't speak about.  Much as it hurts me to say it. Oh, now, Schrock, Martin, don't you worry. I'm going to tell you a secret. Beauregard was no saint either. Beauregard? Always Beauregard. I guess I never told you about my tragedy with Beauregard. It's a thing I don't talk about much. Even after all these years, the memory is too painful. It's all right with me if I never hear about Beauregard again. Oh, I'll never forget him standing there on the doorway that night. So pried and so hideous. We'd had words about something, and he said some dreadful things to me, and I guess I said some dreadful things to him. And as he went out, he paused, and he said, Well, woman, is that all you have to say to me? And that's all I said to him, Schrock, Martin. With just one word, one single word, I could have held him, but I didn't. I'll let him go. And that's the last time he was ever seen alive. I'll never forgive myself. There, there, Leland. That's why I'll never let you go through, I'll never, never, never. Pee me. Oh, I know we're going to be happy together, darling. Say we're going to be happy together. Just you and I. Sure, just you and I in full regard. A geller's leave will be with us again in just a few seconds. Meanwhile, you know the old saying, waste not, want not. Well, it certainly applies to food in these days of shortages. And it applies to everything related to food. For example, cash and red ration stamps. Now, one of the best ways to affect real economy of cash and red stamps is to buy foods that are low in point cost and high in food value, like parquet, the quality margarine made by Kraft. Parquet tents the appetite in many ways. It's highly nourishing and it requires a surprisingly small cash outlay and only five red ration points per pound. Your family will like parquet margarine as a spread for bread and as a delicate seasoning in cooking vegetables from your victory garden. You'll like it for baking and for pan-frying, too. Besides delicious flavor, parquet is wonderfully nourishing. In fact, it's one of the best energy foods you can serve and every pound contains 9,000 units of vitamin A. So, for all these reasons, serve your family parquet, P-A-R-K-A-Y, parquet margarine made by Kraft. Now, what of the Great Gilder Sleeves? Well, the condemned man ate a hearty dinner, sat silently for half an hour puffing on a cigar, which he'd forgotten to light, and excused himself early, big day ahead. For hours, he tossed and turned in his bed, unable to sleep. And now at last, with the first pale light of dawn breaking over the South Street Church, he's dozed off. The figure of Gilder Sleeve lies a dormant mass in a twisted sheet, but through his tortured brain race wild dreams, the dreams of a desperate man. Buck up, old man, buck up. No, I can't go through with it.  D-da-doo! And do you, Throckmorton, take this woman to be thy wedded wife, to love, honor and obey, till death do you part? No! The Annie V. Mulhouser Memorial Window. Good boy. Run for it. We'll step on it some more. Leroy, remind me to get the oil change next time we get there. Here they come. They're gaining on us. Oh, my goodness. Judge Hooker's at the wheel. Hooker, he'll stop at nothing. We haven't a chance, honk. He's got a seat card, and we've only got an A. Hope? If we can just make the house, I know a swell place to hide in the cedar closet. Here we are. I know he's not here. I mean, he is so here. He's right here with me. I mean, I'm him. Uh, never mind what I mean. Let me in, Bertie. Who's that? He's down at the church getting married. Oh, he's not here. He's right here. Don't you recognize me, Bertie? It's me, Mr. Gillisleave. Open the door, and you'll see. I ain't taking no chances. Let me get a laugh. Will you protect me? Who's after you? Judge Hooker ain't going to get you. Not while I've got this meat chopper. There's nobody home but the maids. Then what will you do? Why are you talking about gilding? It's time to wake up. Mr. Gillisleave, wake up the judges here. My land. Look how he's tangled up that bed. Wake up, old man. Wake up. Oh, there was sausage, hot pen, and pulp in it. Judge, Bertie. Oh, my goodness. I had the most horrible dream. I dreamed it was my wedding day.  It is. And whoever invented an ascot tie, I hope he chokes. And he will if he wears one like this. Now, Gilly, you look fine. Here, slip on the vest. Vest in the middle of July? Who said July was a good month for weddings? It's not July, Gildy. It's only June. June's no good either. Give me the coat. There. I got you looking like a model bridegroom. I don't believe it. Look in the glass. How's that? I look like a barefooted floor walker. Well, shoes will help. And for heaven's sake, get going. We're due at the church in half an hour. Oh, don't keep saying that. Well, we are. Hurry up now. I'm putting on your shoes. I'm waiting for my socks. Birdie's ironing my blue socks. Blue. Something old, something new, something borrowed, something blue. Gildy. Am I blue? Morton, please. Now, it's getting late and you're behaving like an irresponsible child.  I'm sorry, horse. I'll be all right. I'll go through with it. That's the stuff, Gildy. Judge, how would it be if I sent her an anonymous letter, warning her not to marry me? She'd recognize your handwriting. Yes, darn it. Uncle Mort, are you almost ready? Oh, yes, my dear. Just trying to pull the judge together. Is he all right, Judge? He looks terrible. You're right, my dear. I do look terrible. I'm not going to wear this thing. Oh, now, Uncle Mort, you look very nice. Oh, thank you, my dear. You look nice, too. Oh, do I really look all right? I've been so rushed to hardly know what I've got on. What's been keeping you so busy? Well, Lila got her run on her last pair of nylons and I simply tore all over town to find her another pair. And then she lost the key to her suitcase, so I had to take it to the lock man. Why not let Leroy do that? He's guarding the wedding presents. Oh, my goodness. Whose idea was that? Don't tell me. Well, I've got to go, Uncle Mort.  Hurry, hurry, hurry. You think this wedding was being put on by a family of trained dispatchers. What are you doing, Hooker? Just checking over a few last things. Did you remember to send the brides bouquet? Yes, Horace. I sent the brides bouquet. That's good. What'd you say? Daisy's. Daisy's? Mercyful Heavens, gildishly. What was the idea of sending her daisies? They were all out of geraniums. Geraniums would have been worse. Geraniums happened to be her favorite flower. She told me so. Yeah, but she wouldn't want to get married in them. Judge, I could get myself arrested. Maybe I could rob a bank. The banks are all closed now. Oh, yeah. There must be some way to get in jail. Excuse me, Mr. Gilson. You case your socks. Oh, thank you, Bertie. Loyal to the last. Thank you, Mr. Gilson. And if I don't see you again before you're married, I wish you all the happiness in the world. Thank you, Bertie. Thank you. Come on, guilty. Come on. Get your shoes on now. All right. Oh, throughout Morton, there's one other little matter. It's customary for the best man to pay the minister. All right. Go ahead and pay him. Don't bother me with details. Yeah, but the groom always provides the money. What? You put the fee in a little envelope with Dr. Needham's name on it, I hand it to him. Oh, no, you don't, Hooker. I wasn't born yesterday.  It's just to save you embarrassment at a time when you'll have your hands full. If you'd rather give him the envelope yourself, go ahead. Well, how much do I put in the envelope? Oh, the usual amount. Well, what is the usual amount? Well, I don't know. I believe it's just whatever you think the minister deserves for marrying you. I'll have to give him more than that, judge. Well, maybe $10. Well, hi, judge. How's the bridegroom coming along? Well, well, little Leroy. Little Leroy. Come here, my boy. Leroy, it's nice to see you dressed up for a change. Thanks, Hong. Same to you. Stick your shirt tail in. Yes. Well, won't be long now, my boy. No, won't be long now. You've got to stick together, my boy. After all, we're the men of the family. That's right, Hong. Leroy, you remember that old haunted house? Yeah. What if we sneaked out there right now and you tied me up with a lot of ropes and left me there till this thing blows over, huh? That's a great idea. We could go out. All right, Gildy. No more of that.  Your uncle's got a lot of things on his mind. What's that? That's the taxi I ordered to take us to the church. Come on, Gildy. We're late now. But, judge. Hurry up, Gildy. Taxis cost money. But, Horace. Gilder, sleep. What on earth are you doing? I'm looking for my good luck piece. Oh, I can't find my good luck piece. Never mind it. Let go of me, Horace. I can't go without my good luck piece. I mean, remember. But I'm supposed to do more. Just stand here, Throckmore. Here? Yes.  Way up there? Of course. Where will you be, Horace? I'll be right behind you, old boy. Now, here comes Lila. Go on up. Too... Slowly, Lila. Taxis! Well, I... Oh! We are gathered here in the presence of this company to join together this man and this woman in holy matters. We'll be joined together. Let him now speak, or else hereafter forever hold his peace. Hmm! Martin, will thou have this woman to be thy wedded wife to live together and hold... I'll make you pardon, doctor, just one moment, please. Who's that? A soldier. I happen to be this lady's husband. And I never felt better in my... It was a narrow squeak for me, wasn't it, folks? Good old bull-regard. This is our last broadcast this season, but we'll return again in just eight weeks. Before saying goodbye, we want to thank you for all the Sunday evenings you've given us and the nice letters you've written us. We want to thank our sponsors, the Kraft Cheese Company, for their sympathetic understanding and cooperation. And we want to give the credit to all the members of the Gillisley family, whom you have come to know over the past year. Shirley Mitchell, who plays Leela, Lorraine Tuttle as Marjorie, Lillian Randolph, who plays Birdie, Walter Tetley, who plays Leroy, Earl Ross, who plays Judge Hooker, Ben Alexander as Bashful Ben, and Richard Legrand, our Mr. Peavey. Thanks, too, to Claude Sweeten for his excellent music and three low bows to our writers, John Whedon and Sam Moore, and to our chief, the producer, Cecil Underwood. Good night, everybody. Have a pleasant summer. This is Ken Carpenter speaking for the Kraft Cheese Company. We hope you'll be listening. When the great Gillisley returns again, the end of August at the same time and over these same places. Homemakers, I want to tell you about something that's a point saver, a time saver, and a money saver all in one. It's Kraft Dinner, the product that gives you swell macaroni and cheese in just seven minutes cooking time. The package that serves four takes just one red ration point and a cost per serving is only a few cents. Does all this sound too good to be true? Well, get one of those yellow and blue packages of Kraft Dinner. See how the special Kraft Dinner macaroni cooks fluffy tender just in boiling water. See how the Kraft grated in every box lets you whisk cheese goodness through and through that fluffy macaroni. Then listen to the folks compliment you on that speedy macaroni and cheese. If company's coming, you might mold that hot macaroni and cheese into a ring and serve it with a little cream meat or fish or vegetables. You see Kraft Dinner is an all-round wartime meal helper. It can help you stretch other foods. So look for it at your food store. Look for Kraft Dinner. This program has come to you from Hollywood. This is the National Broadcasting Company.


A winter weather warning was issued for eastern Kentucky beginning at 4 p.m. on Friday, February 16th and running into 4 a.m. Saturday, February 17th. There's still a accumulation of about an inch and they said most of higher elevations will get it. I don't know down the valleys here in Floyd County how much will we get of this accumulation. But they said this year's cautionary use like winter driving approaches, I mean travel safes will eat the hawk flat but it should be hopefully it overpass or it didn't last week. Don't think it's that bad. Find love in every connection at Appalachian Wireless even if you want to connect with no credit check, no contracts and most features are postpaid. Talk about forward pay. This month give $50 off select pre-paid devices. It's forward pay because we are you. We are Appalachian Wireless. One to three inches of snow is expected with higher elevations being at greater risk for accumulation. Despite the low amount of snow expected, drivers are reminded to stay vigilant and drive safely on the roads making sure to give yourself plenty of time to get to where you're going and keeping plenty of space between you and the car in front of you. Slow driving. I mean take your time. Give yourself enough time to get there and of course follow behind cars in a safe distance. But it's plenty of head a little bit and packaged up just in case it does get worse like some higher elevations be worse weather report. For more information or further weather updates be sure to stay tuned to mountaintop news on Facebook. For mountaintop news, I'm Kelsea Fidel.


Aloha, and welcome today to Hawaii Together on the Think Tech Hawaii broadcast network. I'm Keeley Ikeena. My guest today, Steve Lipscomb, ran recently for the Lieutenant Governor's slot in the Hawaii Republican primary in 2018, and it's our pleasure today to be able to welcome him to the program and talk a little bit about what it's like to go from a private life to a public one. What it's like to run for office and why anyone would do that. I want to introduce you to him now and welcome him to the program. Steve, Aloha. Thanks a lot for having me on the show. Well thanks for joining us here today. My pleasure. It's always a delight to chat with you and just to learn a little bit about your perspectives. Now tell me a little bit about your background. You were in the Air Force, weren't you? I was in the Air Force for just over 20 years, originally teaching young men and women how to fly in a trainer jet. I always say it's the only... Oh, so you were a pilot. I was a pilot. I always say it's the only airplane where the enemy's in the cockpit with you, so you had to be on your toes all the time. So then after that you were in the corporate world a bit. You worked for some pretty prestigious companies. I worked for two Fortune 500 companies. I worked at Dell for three years and then Microsoft for six. Out here in the Pacific my sales patch was Japan, Korea, Alaska, Guam and Hawaii. So in some sense America has treated you well. You've benefited by being a United States citizen. You know today our country gets so much criticism. What are your thoughts about the U.S.? I'm a big pro-U.S. sort of guy. I've been all over the world. I've lived all over the world. I've been in combat zones. I've been in peace areas. I've seen the best the world has to offer. I've seen the worst. I've seen where civilizations where people are sort of afraid to be a policeman or where the police officer force is corrupt. So America's a great place and I'm a big pro-American kind of guy. Does this mean you don't see any of the problems that we face today or the difficulties, the inequity? No, definitely. I mean of all the places I would live I'd still live in America and certainly there's always going to be challenges to overcome but that's what we do. Well now you live in Hawaii. Why do you make Hawaii your home? Well it's a good story.  Where do you want to live? Because the military gives you a one-way ticket and she said Hawaii. I was like, well we're not going to be able to afford that. No one joins the military to get rich and we're no exception. Her second choice was also Hawaii. So we moved out here and we knew it was going to be financially challenging but we were eager to make it work. We loved the environment. We loved the people. We loved that whole aloha spirit. In fact I tell people the first three words I learned were aloha, ohana and mahalo and those sort of concepts don't percolate to the top of all communities and that's what we really found attractive here. Well like a good number of people, you could be enjoying your Mai Tai down at the office club. We're at Fort Derusi now and living a life of relaxing retirement but you decided to throw your hat into the rink in the political arena and you recently ran for lieutenant governor in the Republican Party. I did. Why did you do that? Well I tell you. No, I don't mean to say why did you do that with incredulity. I just wanted to explore your mind and really understand your motivation. So there was two drivers. One is, first of all the motto here is no vote, no grumble. So the next level up from that is you can't complain about the system if you haven't tried to be part of the system to correct it. So the two glaring issues I saw was monopoly in government, which is a real challenge for democracy. When you have only one party it breaks the whole Republic democracy sort of model and there's no room for robust debate on topics and there's no real watchdog function to make sure that we the people's money is being spent correctly and I think we're seeing the result of that is increasing taxes all the time because there's no watchdog in the spending. Now when you talk about monopoly in government, you could be talking about either party depending upon who had the monopoly. Well I'm talking about the Democratic Party and what I mean is that regardless of which party it is, if it's a monopoly, there's no other opposition. It's a problem. Well so you remember playing the game monopoly when we were kids and whoever had the monopoly, it was only good for them. It was bad for everybody else and I think that's true in government here again, no opportunity for robust debate and really no watchdog function to point out the bad parts of any sort of legislation. Well there are lots of ways citizens can respond and bring an attempt to change the system. You could write op-eds, you could write letters to the editor, you can vote for good candidates and so forth, but you decided to actually become a candidate. How did you decide that? So another interesting story. So Ray LaRue and I decided to run. And Ray LaRue ran for governor in the Republican Party. He did. And so Ray and I worked together at Paycom back in the 2000 time frame and literally our desk was six feet from each other. So we got to know each other, built a friendship, worked together for about two years and just past Christmas time we had decided hey it's been too long we need to get back together, let's grab lunch and so over lunch when we were talking about what's next for both of us, we both expressed the interest in moving in the government and it was there at Murphy's Barn Grill that we decided you know what let's do the governor, lieutenant governor team we can bring combined 50 years of military leadership, 10 years of business leadership, his 10 years of state and Department of Education leadership. We can bring that together as a package into Hawaii politics and we thought that was a winning combination. But still somebody else could do that.  Did you talk to your spouse? I did as a matter of fact because as you know as soon as you make that decision you enter into a fishbowl and so here's a funny story. I had a sore throat and I went to one of the local urgent care or acute care clinics and as I was checking in and the lady was asking me what my name is another guy who was checking in heard my name he's like hey good luck on the on the primary I was like well we're definitely in a fishbowl all of a sudden you have to post all your financials up on the right for the campaign spending and I understand all that but it feels pretty intrusive but I understand it I'm not saying it's a bad thing but so you're right you are out there in the public and you've got to be on your game 100% of the time. Now you had to form a campaign organization did you find that easy getting volunteers contributions and creating actually a little company to run the business of the campaign? That was actually challenging and so people are willing to help to a point and I think sometimes people doubt their own abilities to jump in and lead a particular piece so I built out a org chart that said okay I need this kind of person here someone handling volunteers and I need this kind of person here handling media I need someone building policy statements that sort of thing I think people are hesitant to take on that large of a role so you have to be flexible and say okay that person wants to do sign waving that person wants to write a single policy and and understand how to bring all that together so at the end of the day to be honest it was me and my friend Luke Bilaki who drove this home and so we were talking this morning I said we did pretty good two guys four months of campaign time and we lost by about 200 votes point six or seven percent so well congratulations with the effort I wish we had had more time I think that would have been better but now you ran as a Republican in the state of Hawaii and it's no secret we referred to that earlier that we are pretty much have a single-party system here we have only Democrats as congresspersons no Republican in the state senate five and maybe yes five representatives in the state house the governor is a Democrat what's it like to go door to door or to just run for office as a Republican in this state you know it's challenging and I think that's one of my lessons learned here I was going to talk about a little bit later but I think people treat political parties like their sports teams and they're like that's my sports team I'm gonna that's my party I'm gonna do whatever you know I'm gonna be with them forever and I really encourage people to get out and listen to the candidates the other the real challenge is it was supposed to be a three-way race on the Republican Lieutenant Governor but tongue in cheek there was a fourth candidate some some person named blank vote pulled pulled about 5000 plus votes out of you know I got around 9500 and about 5500 were blank votes that tells me people were confused or we hadn't gotten our message out there there's something wrong where blank votes were that high so so even within the Republican primary balloting you had 5000 people who simply left the Lieutenant Governor slot blank all together and one would think that would so prominent a race that they would not necessarily vote for you but they'd vote for somebody for somebody right because if you're going to pull that ballot you don't want to waste your opportunity to weigh in on the Lieutenant Governor right and it was disappointing for me to see the blank vote count so high again that either that means the three Lieutenant Governor candidates together on the Republican side we didn't do our job to get our message out to people and well let's extrapolate that even larger and not only did you have low voter participation in your race per se but overall we have one of the lowest voter participations in the entire country the lowest per capita and what did you encounter as you went door to door as you talk to people in terms of their attitude toward voting so to be honest I did not get a chance to go door to door very much we we focus on the broader piece we focused on social social media and the conferences and but you talked to lots of people we did talk to a lot of people and so you're asking what they felt about a republican running in a democratic state or just what your impressions were as you met met people in the state which has the lowest voter participation you know that's that's what did you learn well so one of the one of the things I learned was again people they focus on one issue and in fact the the one I ran into one guy around the Oahu vet center after a neighborhood board meeting I was struck up a conversation with him and eventually as we developed a conversation a little bit and he found out I was a republican because I want truth and advertising I try to be up front with who I am he he found one issue that really has nothing to do with Hawaii it's already solved at the national level but that was his issue and because I had a different view he started yelling at me and telling me I wasn't fit for office and all this stuff and I'm like okay so that's really not a I think that's sort of the facebook environment that has gotten us to the point where we don't really treat people with respect or respect other people's ideas or viewpoints people are trying to force their own viewpoints on others and that's not always it's not the right thing to do as a republican did you come across people who kind of imported their view of national republican politics and even at the administration level their view of president trump and brought that down to the local level and applied it to the only the only time I actually saw that and it wasn't really quite the way you framed it up but when I was doing my hawaii news now interview they did ask me what my thoughts were on president trump and if I supported him or not and and I definitely supported him and we didn't have enough time to go into uh detail by detail why that is or what his ideas are and how I interpret that but but again I think people are they're getting confused with what hawaii needs because I feel hawaii is in really desperate times especially if you look at the financial side of it and what their sort of overall ideas are on national level and also that political party sports team analogy where this is my team we've got a couple minutes before the break I wanted to ask you what were the issues that you felt were most important to bring to the public during your race so for me realizing that the lieutenant governor's job is to support the governor's agenda that was my number one platform if you will but my my three E's were my private personal interest items three E's stood for economy education and environment and we need as we mentioned as I mentioned earlier hawaii's number one industry is tourism and it's a fragile industry and so with hurricane lane just off the side if that turns to us and hits us all of a sudden we're going to have significant impact to the government because of lost taxes we're going to have significant income or impact to the people who are in that service industry because tourists aren't going to come just like during hurricane aniki obviously you believe government needs to look at some changes or do something different than it's doing now in order to boost our economy what would you propose well so if you look at all the state to state comparisons we are routinely really low on all the lists we want to be high on so voter turnout we're really low best place to start a business really low highest taxes we're really high on that one most value for taxes paid we're low on that one and so we need to be business friendly we need to diversify our economy and expand it we need to make sure that people have good paying jobs so that that does two things gives people an opportunity to live and that would positively impact the homeless problem and give people a chance to actually make some money and then the other piece is that it would it would develop our tax base well that's a strong message we're going to come back after a short break okay my guest today is Steve Lipscomb who ran recently for lieutenant governor here in the state of hawaii in the republican primary and i'm keely akina on think tech hawaii's uh hawaii together we'll be right back after the short break hello everyone i'm desoto brown the co-host of human humane architecture which is seen on think tech hawaii every other tuesday at four p.m and with the show's host martin despang we discuss architecture here in the Hawaiian islands and how it not only affects the way we live but other aspects of our life not only here in Hawaii but internationally as well so join us for human humane architecture every other tuesday at four p.m on think tech hawaii and aloha my name is calvin griffin the host of hawaii in uniform and every friday at 11 o'clock here on think tech hawaii we bring in the latest in what's happening within the military community and we also invite all your response to things that's happening here for those of you who haven't seen the program before again we invite your participation we're here to information not disinformation and we always enjoy response from the public but join us here hawaii in uniform fridays 11 a.m here on think tech hawaii aloha welcome back to hawaii together on the think tech hawaii broadcast network i'm keely akina my guest today steve liftscomb has just experienced what it is to go from a private life to a public one a very public one as he ran for office he didn't succeed in the 2018 primary of the republican party but got very very close more than that however he learned a lot in the process not only about electioneering campaigning but also about the people of hawaii we've got him back here again steve well what's one of the biggest lessons that you learned in the campaign well interestingly as i was out talking to some people i would invariably run across the the person i would say i don't get involved in politics steve and at first it it sort of took me by surprise but afterwards i developed developed my response which is you may not want to get involved in politics but make no doubt about it politics will be involved with you ask yourself a couple questions why are my taxes so high why does why do goods cost so much here why is housing so expensive why do or why are the schools struggling you can trace all that back to political decisions it sounded it sounds like you had a two-step you had to do not not merely to get the interested in steve lipscomb but first even interested in politics exactly and so just to get as you know we've got the lowest voter turnout we've got if you look at the numbers for this last election about roughly about just really rough numbers 250,000 people voted on the democrat side roughly about 50,000 for everybody else together that's about 300,000 we've got about 750,000 voters so that that gives us or registered voters so that gives us a 40 ish percent turnout plus or minus but you you actually did something quite remarkable you got onto the map and you amassed a good number of votes in your in your market so to speak if you had the money and the time what would you have kept doing so for us to reach out to the masses as quickly as we needed we needed to leverage social media and so we leveraged social and robocalls and I wanted to leverage email campaigns but what I found out was even though the supreme court has said bulk emails from a political candidate to the constituency is absolutely a first amendment right because that's that isn't count does not count as spam the companies that allow you to do that like go daddy constant contact mail chimp they will not allow you to buy a list of people that haven't already opted in to receive emails from you even if you're a politician so the supreme court says yes you can bulk email and the companies that provide that functionality say no you cannot and I think that's a real challenge and something that needs to be looked at she had some challenges we did you know and your your emails might even be marked as spam going into various browsers right so two things that would happen then is either I get shut down on my email piece or the negative impact for those companies to have so much spam is more than they would tolerate so so were there activities you engaged in that ultimately proved not to be very valuable well it's it's hard to measure the value of sign waving so that's there's there's no idea what returning on investment is on that one but I will say really quickly it's a right of passage I see that we people in Hawaii want to see our candidates go through exactly exactly so and it's it can be fun but especially in the rain right and the burning sun so but interestingly so I'll give a shout out to Waimea Community Association so a lot of the forums that I went to were very structured you had all your candidates up on stage Republicans and Democrats and oftentimes there was only two occasions actually where everybody was invited oftentimes there was a subset of people that were invited and so one person gets asked the question next person same question same question it's it's not really boring all right it's it's boring and so the guy at the end has listened to everybody's answer and then can shape his answer what what WCA Waimea Community Association did is they called it speed dating and in the cafeteria they had people set up at the different tables with an open space you went around shotgun start all the candidates went out to the tables and then we changed tables about every nine or ten minutes so it gave us a chance to sit down eyeball eyeball with people and really hear their issues and and experience their issues versus sort of a moderator running through a question that doesn't have that same impact so in a campaign you've got to have that mix of personal interaction with people and mass media social media impact how did you find the media as were they helpful in getting your message out or did you find challenges there so there were there were a few challenges some of the challenges were with individual organizations that would only have forums for a particular partisan side so usually it was if there was a forum only democrats were invited to it and that was disappointing for me and I think that's bad for democracy as well as we're trying to give people a cross section of what's available and what people's thoughts are on the media side as an example I guess I can call out their actual names here but when the Republican governor debate came up for Hawaii news now my running mate Ray LaRue wasn't invited and even though the party and Ray engaged to try to get a seat on that stage it wasn't allowed for some reason I think that's unfortunate for me in particular I had a couple instances with civil beat where I was left out of the list of Republican Lieutenant Governor candidates Steve Lipscomb was left off the name in an article in June and then in July they actually did a poll they did a poll of several hundred people and my name wasn't one of the response options so that gave my competitors sort of an unfair advantage and when we went to civil beat to try to say hey this this happened what are we going to do about it at first they just said it was an oversight and then eventually they said you're not a frontrunner and so when I tried to show that they were covering other races in their entirety and not just picking a couple frontrunners but they weren't treating the Republican Lieutenant Governors that same way I didn't get any answers from that email so I think that speaks to the difficulty of anyone who's a newcomer without large name recognition being able to get on the map but regardless of their qualification regardless of their education you you've been in management positions you have been a leader you have served the country you've got two master's degrees you've worked in corporate America and yet being able to position yourself has been a great challenge it's definitely hard especially in a state with one party system as you think about it what are some of the solutions what are some of the ways you think you could break through should you run for office again well I think we the people need to demand that when we see a Democrat only forum going on that people rise up and say hey that's that's not right we want to hear from the whole cross section so that happened several times across the islands there was a couple by the way the I'll give a shout out to Hawaii neighborhood board they invited everybody so that was the first time I got to meet some green party representatives and I think that's that's the job I think you know with President Trump's calling out about the media being the enemy of the public that's probably pretty strong but the media I grew up understanding the media to be a watchdog agency hey you guys are out there to make sure that things are kind of running right and so when they only cover a certain party I think they're neglecting that idea that their job is to inform the public not to form the public so they're not trying to they shouldn't be trying to form and shape opinions I think they should be reporting to inform whether you're a Democrat or a Republican I would ask you what you think of the condition of your party and what are the challenges that your party may face well that's a fair question for sure I think there's no secret that the Republican Party has atrophied over the years here in Hawaii I think I'm really encouraged and in fact I was one of the reasons I stepped up was I saw strong leadership in the Republican Party right now with Shirley Nostrov so she's a retired Air Force 06 colonel she's leading the charge there and she's got Aaron Wilson as her executive director and a staff of people that are willing to jump in there and help the other encouraging thing is the training team at the Republican Party gave us a 10-week training course on candidacy and covered everything from marketing to fundraising to I mean just across the board so that was that was really encouraging to see the dedication of people giving up their time and not just the time on a Saturday but the prep time to bring all that together that was really encouraging so what I had sent set over to Shirley and is I'm willing to be part of that effort now that I don't have to focus on running for office any longer I'm happy to get in there and start building the Republican Party from the grassroots level and again the main thing here is we have to have we talk about diversity all the time you have to have the diversity of thought inside of your government or else you've just got a monopoly now we've already talked about the fact that you were a first timer when it came to politics and didn't have that name recognition but you have another challenge and that is you're a Republican in a one-party state right how do you conceive of overcoming that challenge for the Republican Party in the years to come especially since there's been such a downward trend in terms of office holding by Republican so I think it's a multifaceted approach I think one is having the strong leadership to take the party out of the ashes if you will and make it a viable entity I think the other part is having people step up to be candidates and letting people see that there are great candidates we have a lot of great candidates in this race in this this election cycle in the various races I'd like to see that expanded because there's still a lot of uncontested seats out there that I think we can go after but but I think that's the key is making sure strong leadership making sure that we have great candidates and then the last piece is targeting that white space so we talked about the 250,000 Democrat voters and around 50,000 other non-democrat voters but there's still a system of about 700 plus thousand people in there that aren't voting and they're just out there we need to get them energized and again making sure that they understand politics is involved in your life you if you don't want to owe the responsibility to the state or to your friends you owe it to yourself to make sure that you're getting involved in politics and making sure that the people that you put in office are working in your best interest did you gain any sense while you're campaigning of any issue that really touched the hearts of people something that they might rally around well that's an interesting question I with me with my three E's and and Ray LaRuse was pretty similar he had infrastructure in there in fact when we did our nomination or announcement we did it in front of the white kiki what's it called the natatory on the world and we wanted to use that as a symbol of sort of the crumbling infrastructure across the state and I think those are some of the issues that people hot button topics is hey I don't have enough money to make ends meet I've got to work two or three jobs so high cost of living high taxes again low paying jobs we have some of the lowest unemployment in the country but we have people working two or three jobs in order to make it all work last year we had 13,000 people leave hawaii net because they can't make it happen anymore and so if you extrapolate that out into the future where does that end you've got you know that that's not the low income people who can't afford to leave and it's not the rich people that can afford to stay it's the folks in the middle that sort of make the economy run that are leading so if you extrapolate out to the future a little bit where does that that's right take us everybody's concerned about whether we can live in paradise any longer right exactly well thank you Steve so much for being on the program all my pleasure enjoyed your insights and I want to wish you the best in the future thanks a lot thanks for having me I appreciate it thank you thank you my guest today Steve Lipscomb ran for office learned quite a bit in the process and has become an even more committed citizen here of the state of hawaii and the united states and my hat goes off to him and everyone else who has been participating in the political process it's easy to say things are bad and they won't change but as the saying goes no no vote no no grumble no vote no grumble no grumble there you go Steve's got that down better than I do see you next time I'm Kili Akina on think tech Hawaii's Hawaii together aloha


Take two, hi everyone, Joe for jasmiescasebreaks.com coming at you with the team random break credit promo ladies and gentlemen. So if you bought a full spot straight up in those $900 team randoms, we did have a little break credit promo for those of you as a small thank you. Only applies to team randoms number one through eight. So top eight we'll get money. Team through eight will get $100 break credit each and the top name will get $300 break credit which is pretty cool. So big thanks to all of these folks right here. So there's team random one, two, three, four, five, six, seven and eight. And again in green are the people who bought their spots straight up which I've copied underneath that gray line right there. So I think just kind of eyeballing it looks to be correct and I hope it looks good. All right. So everything in green. It's good. All right. So I'm going to gather the list right down here. So Brandon copying your name right under there. This is for break three, break four, break five, let's break five, Nicholas, right Nicholas down to Aaron was break five, froze that first row right there so you can see it. Break six, Mike down to Jared, break seven had the most spots sold straight up and almost filled straight up. So Brian down to Ryan and then Eric down to Ryan right here are the last group in group number eight right there. All right. So that's a total of from Danny down to Ryan. That's a total of 48 names into this blank list right here. So top eight after 10, six and a four, 10 times. Good luck everybody. Thanks for getting in. Appreciate it. One, two, three, four, five, six, seven, eight, nine, and 10th and final time after 10. Again, thank you very much everybody for getting in. I really appreciate it. I think we'll have some more NT in the store at some point. So keep an eye on that. So top eight is going to be so here the $100 credit winners Andrew, Manny, Lance, Nick, Robert, Brian, and Bradley and the $300 winner is going to be Mike Sommich. So thanks everybody for making this happen. We just decided to throw a little bit of a little bit of break credit your way just as a small thank you for getting into the action. So there you go. And I'll send that break credit to your email address is whatever email you use to place orders on jasphyscasebreaks.com. Check your spam folder. If you don't see it, they'll come as a gift card code. So congrats to these folks right here and thanks everyone else for getting in. I'll see you next time on jasphyscasebreaks.com.


Farzane of the eight brought to you from out the pages of Edgar Wright borrows gripping book Preparation to be made for us right now. That is what it looks like. I have no fear of death But I have a rookie objection to mean being made a meal of Archimedes for us or that's that's the lander I made no such thing. I have a violent Coupel and they've been used in any of their pagan right rather a fine distinction professor However, well, I'm not afraid of death. I have all the Englishman's objections to going out without putting up a darn good Stratford. Yes, Mr. Clayton is right.  No thing. But it's Mr. Sayers. Let it be with the back to the wall And it would appear that all that remains to be decided upon is the manner in which we'll attempt our escape I mean and it is my belief that the ceremony will not take place till night and that is still a few hours Distant, you know come over here Look out for the compound. Why? The place is almost deserted. But the guards about our prisoners still here. Yes, and to make a dash for it in the daylight is Impossible a poison arrow a spear thrust. No, no a few hours more and the chances of escape are multiplied a thousand times That's why I write that up I show what wouldn't I give to have a right for not for not? I I'm sure I heard someone speak your name Quiet it is someone keep a lot. Who is it? It's not kiddo. Not kiddo with that Kiddo no forget time.  Me Bob. Who is it for see if I kiddo cool now? When I come back long spear he watched close I'm by one time come again. They go home talk small. We know kiddo come back. Bye. Bye quick don't know What is it a possible hope John? Yes, it is not kiddo a black a skilled labor in the ivory I won't save him from a drunk on plantation on there, but what did you see? I could gather very He says he has not forgotten Then he says the guard is watching and that he will return later. You suppose he knows where the rifles are stored Probably miss sure every black in the crowd knows that and Why not get him to smuggle one or even two in here to us, but won't they be guarded probably so but so are we and yet We're discussing possibilities of escape. I think in fact I'm sure that I can see all the other hot from here and ours I would say it's the only one Guarding that being the case. I said goes miss your plate on was proposed out my idea was get one or two Rifles find out in which hot the rest is stored then undercover of the two make for the hot Seize the rifles and start from there as perfect a plan was on me as one could devise Then nothing more can be done until down those friend comes back and that if he is wise Will not be till night Meanwhile back in the rude cabin built by Lord Grey Stoke so many years ago Jane Porter leaps back from the door as it opens on the black warriors pile inside Jane runs behind the table. She reaches out to the revolver then remembers the cartridges are lying now on the table The weapon is empty her next thought is to call for help But that will only bring white skin in the same danger the big warrior who had entered first goes behind the table and sees us He picks her up carries her from the hut the rest of the blacks follow they go a short distance into the brush They're in a small opening.  It's a trap Again Jane struggles to turn over so she can see if only she can warn white skin for a moment She lies motionless herring straight above her.  Yes, it is white skin The eight man stares down into the pit Jane opens her mouth to shout a warning Tartan fears she may be killed by the blacks if she shouts emotions out of silence till I still Then he raises his head Frode comes his demand for help and from the jungle comes the answering call of Tarzan's friend the trumpeting of Porter Clayton and Philander and Tarno anxiously await the return of the friendly black nakid In such a little while make sure those in demure it will be dark also in a little while We will be free or at least down our way Do you know I'm really quite excited with the prostate of what Clayton calls This darn good scrap. Yeah. Yes, and much as I am a lover of peace I too feel that I will be quite able to give a good account of my felt Right, it's all up one not be a kid. Oh, it's quick Fight Joe. He had some things to do that quick to visit draw the rifle through into the hot one One time again by my rifle on poor another right there. Yeah, I'm saying a kid. Oh good He's asking which hot down. Oh nakid. Oh, which hot I write those inside one two three four See sign me. I do not know. I'm so turned around which side see side nakid.  Oh, go now too much noise. Bye. Bye Oh, thank you both magazines full. No, we wait till dark. Yes Crashing smashing his way with the speed almost unbelievable for his huge bulk And how the elephant breaks through the tangled massive scrub and brush on the zone every few yards He raises his trunk and calls out to Tarzan Tarzan high in the trees out there The black fear the calls like to run but the termination to get the white devil God holds them And all is almost at the pit Hand over hand get the elite Russell's and his bronze body is almost unseen in the gathering dust with a soft pad The eight man falls on Tantor's broad back. He bends down and speaks into the massive roots here Abito Tantor Well, he stole from Dara for mangani Tantor I'm told in the past he charges for the best one the back sitting in the bushes in Tantor's path and all what's he's trying to do about it raises Tantor's sinuous trunk. He holds on with one hand and with the other takes hold of James Who can on that book and all raises his trunk swings Jane and Tarzan to his broad flat head I was sure we would be killed kill white skin come back quick kill woman.


We put in an offer! Yay! After. So, I'll write up the offer. I send it to you to sign and review an electronic email. And once they accept it, we get into the inspection period. We made it to the first house! Let's check it out. Looks good. It's pretty dry. They're not going to have to look at the outside. It's kind of an interesting front door. Not a bad garage, but it is. Yep, it is cold. I feel like this is one of the nicer kitchens we've seen, for sure. Wow, this looks really nice. I mean, the cabinets over there. Well, yeah, it looks. Old house with a big chest freezer. Do you ever know what you're going to find inside? I'd rather just look at it. Yeah, that's it. Yeah, I like this, baby. Yeah, this is cool. Here's the master. How's it look? How's the one with that wee room? It's got a really weird shower. But, you know, patio rooms in here are pretty good. It'd be pretty easy to update, too. There's corner showers. Yeah. Really like. Interesting. Okay, Suzy, you get to pick out the ceiling fan. Okay, go on. Yeah, there's a nice light coming in. Yeah. Carpent, I've never seen that. I only see it like this. Carpent. That extra. Well, this is weird.  This is a little bit of a weird bathroom, I guess. Run! Yeah, this is weird. But it's a bathroom. But it is. That must be where all the utility is. Oh, so it leads to this. All right. So it's like a kid that says, I want to sleep in the basement. Oh, these are basins. It's a room. Has a washroom drive. Floor's not completely disgusting. So we finally made it home. It was a full day, to say the least. We looked at four houses today and I actually thought all of them were pretty nice. And ones that we could see ourselves living in. But there was one that we really liked. The first one that we saw had a really nice kitchen with an open concept in the living room, dining room kitchen area. And it had a nice fenced-in backyard that was a decent size. Not that big size that we were looking for, but decent enough that we could go play fetch with Teddy and do gardening things and build a fire pit if we want to. So that was all fun. It was a five bedroom, three bathroom and probably one of the biggest houses that we've looked at. And it was $300,000. So, yeah, there's that one. And then after that kind of spontaneous we went to go see the first one again because we had seen it and we were like wow, we really, really liked that one. It had a lot of the things that we were looking for. And so we went back. What was your thoughts when we went back? I think I tried to look at the neighborhood more than the house at that point because we already knew the house pretty well. But then again, I don't know what the normal house buying process is when it wasn't COVID. So it feels like we learned a house in 10 minutes. Doesn't seem like we're in there more than five, 10 minutes and we feel like we already have enough, like we know if we wanted or not. I think we looked a lot more at the neighborhood as well as maybe some of the try to tally up the projects and see how much that would cost if we were to go with that house. Nice. Yeah. I think it's a hard decision and it's not one that is something you just make lightly. And so that's been stressful to say the least. But I think it's been a good experience so far. And also we put in an offer which is pretty cute because today is our seven year dating anniversary. Now we have to be specific because we're married and apparently dating doesn't matter anymore once you get married. It's just the years being married but we're still celebrating and so it's kind of fun that we got to put in an offer on a house and I think we're at the point where like if this does work out we'll be really happy but if it doesn't then we'll keep searching and we'll find something else that we love so we're kind of in that middle ground where it's like it'd be okay and we're not going to be like heartbroken but and I don't think you can be like I don't think you can go into this experience being like I'm going to find the one and I'm going to get it and I'm going to be so happy like it doesn't work that way and I think it's good that we kind of have kind of have better expectations of that and I think we'll love it if it does work out. It does have some things that need to be fixed and all of that but honestly at this price point like everything has something and so I guess it's just figuring out which thing or which house has like the least some things or the like least annoying some things that we have to do. What things can you deal with. So yeah we're super excited and we're waiting to hear back on what happens with that. The process has been a lot easier than I thought. I thought the whole offer process was going to take a super long time and it was like okay you want to do this? Cool. Send me your pre-approval letter and your letter to the seller so we just wrote like a cutesy little thing about ourselves and sent that over and our realtor really just did everything else and sent it over to us we read it and signed it and yeah we'll see what happens so we sent in an offer at $299,000 with the seller paying $7,000 in closing costs and $3,000 for earnest money which is 1% so yeah we'll definitely see and hopefully things work out for whatever way they're supposed to work out whatever that looks like so yeah yeah it's fun yay three days later so should we take that as they've accepted the offer? great that sounds amazing awesome yeah well thanks for all the great work you've done and we'll have an exciting next few days okay we're so excited what happened Weston so our realtor called us and said that they liked our offer but they wanted some changes so we're working with the realtor to try to make that happen and they're potentially gonna accept our offer so wish us luck yay so I just say to you those you okay? um but the people like our offer they kind of counter offered so we're kind of counter offering back and we're waiting to hear back yay are you so excited baby? yes I'm quite excited they're gonna tell somebody we buy a house? it's happening it's happening oh my gosh so yesterday they accepted our offer we did a little bit of negotiating back and forth because we were asking them originally to pay closing costs and this is crazy


That's going everyone Caleb here with late and sports cards next tonight. We're gonna be working on the 2021 Panini contenders football four box mixer to first up the line to hobby boxes as you can see the results are in the chat And they are right here one more time Let's get it going. Thank you and good luck right all right. Uh, here we go sort of hobby, of course And they're out of prison football after this rent Rookie of the year Ian book That base is not shipping this yep. Thanks. Appreciate you saying that Good call Cam Jordan on the power players Saints J2 felly their Jags rookie ticket J2 felly. It might be a typo. I can check it quick Winning ticket on the purple Patrick Mahomes. What is this here? 20 That is just a typo. It should be you with the Cardinals bills Fix that on the results quick Thanks for catching that I appreciate that helps it as well before it does get to the shipping. So that's you on Cardinals bills Let's continue Supernatural on the Josh Allen. 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How's it going? supernatural Mack Jones There he is recap guys another 400 points random Jason Pinock Wussu Koramoa the red Remandry Stevenson Ernest Brown Divine Diablo Jamie Davis JC horn Cameron McGrown tutu at well Micah Parsons That was the leery roundtree there Ben Skournick Cameron Bynum Got Jared Patterson Tyson Williams Elijah Molden J2 Felly the Givante Williams and the Zach Wilson championship ticket to 49 Thanks again, everyone. I hope you did enjoy it as always We'll have them all well protected up and sent right out to you. Let me do the points recap Sorry about that. I almost forgot did not forget though response sec Okay, everyone. We do have here as you can see 28 spots. Let's get it going 400 points the store the dice that name on top does get the points seven times Here we go one two three four five six seven Mike W on the points Congrats Mike Appreciate everyone. Hope you did enjoy. We'll be on the next one shortly


I believe you can answer your own data analysis questions, do you? If you do, stick around for another edition of Code Club. I'm your host, Pat Schloss, and my goal is to help you to grow in confidence to ask and answer questions about the world around us using data. This week, we'll build upon our recent experiences analyzing the data I've been recording for the past five years from my local livestock auction where they sell sheep. We'll add a new function, PivotLonger, from the TidyR package, to see whether there's an ideal time to market each class of lambs or whether they all track each other. In last week's Code Club, we saw that large lambs are more valuable in the spring and that if aged sheep have any value at all, it's typically en-jannuant. But what about the other classes of sheep? As a producer, I have the choice of determining when to take lambs to the butcher. Here in southeastern Michigan, there's a large Muslim community that eats a lot of lamb. They generally prefer lambs that weigh between 60 and 80 pounds. Other buyers prefer large lambs to get more meat per cut. All of this means that I have many options for how to market my lambs. Since we produce lambs throughout the year, I'd like to know whether there is an ideal time to market each class of lamb or whether they all track each other giving more value in the spring. That's the question we'll answer for today's episode of Code Club. For today's Code Club, we'll build off of what we have done for the past few weeks. Don't worry if you missed those episodes, we'll start with the block of code that we used last week and see how we can modify what we did for large lambs to look at all lamb classes. To do this, we'll need to learn about the PivotLonger function from the tidyR package, which is part of the tidyverse. This function is related to gather, which is the older version of PivotLonger. Know that if you see people mention using gather, that it's okay to keep using that function, but the package maintainers are encouraging people to pivot to PivotLonger. As always, don't watch the video straight through without first firing up our studio and trying the code and exercises yourself. If you haven't already followed the setup instructions, go ahead and pause the video so you can go over to the Riffimona's project website for this Code Club and make sure you have everything you need. I've gone ahead and copied the code from last week that we were working with into my session of RStudio and saved it as an RScript file. Know that if you look at the notes down below, there's a link going back to the Code Club page for today that will have the same code presented there for you to copy and paste into your own RStudio. So again, if you want to go ahead and grab that, pause the video, go grab that, and then come back and we'll get going. All right. So the code that we had, more or less from last week, plotted the prices for the last five years of large lambs. So what I have is that code, and I just want to briefly run through that code with you all. So we're all up to the same page. So you'll recall that we used Library Tidyverse and Google Sheets so that we could read in data from my Google spreadsheet. And this is the long URL. Definitely don't want to type that in by hand. So be sure you're copying and pasting that over. So I'll go ahead and run these lines, loads those. We'll be working with this auction data data frame of fair amount today. Again, what it does is it reads in the Numbers and Prices page from that Google Sheet. We look at columns A through J. We format it to have the first column be a date, the second column be the number, and then the rest of the columns are character types. We denote an NA value in the workbook as a NA rather than the default of a blank space. Because my column headings were mixed cases and had spaces, we need to do some formatting on those. And so that's what this rename all and rename function do here. As we run this, we get a prompt for figuring out which account we want to read in from. If you've never done this before, it might pop open a browser window to have you do some authentication there as well. So we'll go ahead and press 1 to use my Gmail account. It's reading it in. You only have to do this one time per session. And again, if we look at auction data, we see we get this data frame, again, where we have the date, the total number of animals, and then these different weight classes of animals going across. We notice also that the individual for the date and class of animal, there's numbers separated by hyphen. And these numbers are the lowest value and the highest value that animals sold for in that weight class for that week. So it's 160 to 200. The 200 means it's $200 per 100 pounds of weight, so $2 per pound. I don't know why they do 100 pounds, maybe so they don't have to deal with decimals. Who knows? All right. So to separate that apart, what we needed to use was a command called separate, which again, we learned about last week. So we'll go ahead and run this. And when I look at my large prices, that I get a date column, the min value, and the max value. So you'll note we also used a select function to focus in on those three columns. And then finally, we built the plot and fitted a smooth blue line through the data. And we talked about putting different titles and labels on the axes. So this is where we're starting from. Now, this is for the large animals. We also made one for aged sheep, so the older sheep that are past the prime and going off to become dog food. We'd like to look at the different classes of lambs in this week's Code Club. So I want to look at the small, medium, large, extra large classes and thinking about how do we get four lines across this plot. And so to get there, we're going to come back to auction data and look at what this data frame looks like. I'll make a little bit more room here. And so what you'll see, again, we have our date, the total number of animals, and then we have aged sheep, feeder lambs. We have all the different categories. So this format doesn't really play well with the ggplot syntax that we're used to seeing. So with ggplot, what we typically have is each column is mapped to a different aesthetic, a different factor, a different component of our plot. So we saw last week, and in this plot that we just generated, the x-axis is from the date column. We had a min and max and midpoint to get the midpoint price on large animals. In the previous week, we looked at the total. So that went on the y-axis. So we've talked about x and y aesthetic. What we'll talk about this week is color. And so we'll map a column to the color so that each class gets a different color. And so what we need to do is we need to take each column and concatenate it below the other. So we can imagine having a column of date, perhaps that column of total, a column of class, and then a column of the min and the max. And so we'll build up to that. But what we need to do, let's think about how we want to change things is we want to concatenate different columns for different classes of sheep. So once we've concatenated all those columns, the next thing we'll want to do is to separate the min and max values into different columns. And then we're going to want to calculate the midpoint price. And then we'll want to plot. So those are the four steps. We have already seen these last three steps. What we're going to talk about today is how we concatenate this. And this is what's called pivot longer. And pivot longer will allow us to take our wide data frame and make it long. And in this process, we'll make our data what's called tidy. The idea of tidy data is that each column represents a different variable, and each row represents a different observation. And so the data frame, as it currently is in auction data, is not tidy. Each row represents a different date, but each column represents a different observation for each class. And so again, we want to put all our observations in rows. And our variables, again, thinking about what might we want to plot, are variables as our different columns. So to do this, as I mentioned, we're going to use a function from the tidyR package that comes to us through the tidyverse to use the pivotLonger function. And so pivotLonger, pivotUnderscoreLonger, has a number of arguments. The main arguments that we're going to use are data, calls, names, to, and values from. Values to, sorry, values to. And so this is the basic syntax that we're going to be using. As you saw as I was typing in the different argument names, there's a lot of other arguments that come up. And perhaps we'll touch on those in future code clubs, but I want to keep things simple because that's really all we need to do to generate the plot we want. So the data is the auction data. And as we've been doing, we're going to pipe this into pivotLonger. And then calls are the column names that we want to be pivoting longer. We want to be concatenating on to each other. So I'll make this into a vector. Let's do small, medium. I'm only going to put two in there for now to give this a test. And maybe I'll go ahead and do large. All right. And then names to is the name of the column that's going to have the names of our previous columns. So I'm going to call those classes. I need to put that in quotes. And then values to, I'm going to put this as price range. OK. So again, we're going to take, and I'll maybe put in some extra room down here, we're going to take the small, medium, and large columns. We're going to concatenate them into one single column. The column of prices is going to be called price range. The column of classes or column names is going to be called classes. And so again, if we run this, what we see at the right side of my data frame here are two new columns, so classes and price range. So we have small, medium, large. And you'll notice that we no longer have the small, medium, large columns in here. OK. So again, what we did was we took those small, medium, large columns, and we concatenated them on to each other. Now, I'd like to make a data frame that has all of these other classes, but I don't really want to have to type in all of those other class names. So we can set this calls argument in a slightly different way. So again, we could do auction data, pivot longer, and then calls equals. And then what we could do is we could tell pivot longer, which columns we don't want to pivot longer. And so we could do minus C and date and total. And then we'll again do names to classes, values to price range. So the difference between this function call and this function call is that here, we're telling it which columns we want. Here, we're telling it which columns we don't want. The advantage of telling it what we don't want in this case is that it's less typing. You could go ahead and you could type out all the column names, but who has time for that? So again, if we run that, we now get a very long data frame that has four columns. And again, thinking about each column as a different variable, we have the date, the total number of animals sold on that date, the class of animals sold on that date, and the price range for that class of animals on that date. And so this is what's called a tidy data frame. All right, so we've achieved this first step of concatenating columns for different classes of sheep using this pivot longer function. Excellent. The next thing we want to do is separate the min and max into different columns. Again, we talked about this last week, but we can do separate price range into, and we'll say min. I've got to make this a vector of values, min and max. And then I'm going to do sep on the hyphen. We talked last week that you don't actually have to put in the sep value if it's obvious, but I like putting it in just to make everything crystal clear. And sure enough, now we have two new columns replacing price range of min and max. I will then add a new column for the midpoint price that I'll generate with mutate. So we will then say midpoint. And this is going to be my min plus my max divided by 2. What is it doing? So it's complaining that error in min and max non-numeric argument to binary operator. And so if I look at my data frame, I notice a very subtle thing that min and max come in as characters after the separate function rather than as numbers. And we talked about this also last week that we need to use the convert equals true argument to convert the characters to numeric values. And we do that. Everything is good. We go ahead now, and we have min and max coming in as integers, and midpoint is a double. And so this represents the midpoint of our min and max values. So very good. And we'll go ahead and call this, let's call this tidy auction data. Excellent. Now we're ready to plot the data. So we'll go ahead and do tidy auction data into ggplot. This should look very familiar. aesx equals date. y will say midpoint. And something new that we're going to do is we're going to have the color aesthetic, as I mentioned a little bit ago. So if we say color equals classes, then that will effectively group our data by class. And each class then will get a different line. And we can then put this into geom line, open close parentheses, and voila. It tells us that it removed 270 rows containing missing values. We know that there's a lot of NA values in there. If we wanted to, we could go ahead and get rid of those. But for now, that's not really the point of our exercise today. So what we see is we get a plot showing all, how many? There's, I guess, eight different weight classes here, eight different classes of sheep, and their different values. Down on the bottom are those aged sheep that really aren't worth much. And we can kind of see some periodicity, some seasonality to this data, which kind of looks like things prices rise through the spring and then fall through the rest of the year. So what I'd like to do is to perhaps instead of looking at all eight weight classes, I'd like to instead look at the small, medium large and extra large animals to kind of focus on those animals that are more market class. Hair lambs are also perhaps a market class, but there's not a lot of them. The new crop, I'm not quite sure always what those are. Aged sheep are kind of a specialty. And feeder lambs are lambs that are typically not ready for market, not ready to be slaughtered, but are going back to be fed to gain more weight. So to focus on those four classes, we'll use the filter function. And we'll say classes equals equals small, or classes equals equals medium, or classes equals equals large, or classes equals equals extra large. And we want to be sure to add a pipe to the end of that line. And so now when we run that, we see sure enough that we have the four lines. The animals with the highest price are the small, followed by the medium, followed by the large. And actually the large and extra large seem pretty on each other. So I'm gonna come back down here and grab my labs and my theme function from last week to concatenate on to my pipeline here. And I'll change my title to say that, what should we say? Let's say something like that small lambs have the highest price, but all lambs peak in spring. I'm gonna go ahead and get rid of the subtitle and everything else looks pretty good. I'm gonna use that theme light because it has the lighter grid lines that kind of tell us where the years break. And so sure enough, that works. At least in my rendering of this plot, the title runs off the screen. So I'm going to go ahead and put in a line break, like a backslash N, and that'll get the title to wrap on itself, okay? So the new thing here from the previous weeks has been this pivot longer function, right? And so again, to recap the interesting thing or the syntax about pivot longer, so we give it the data, the columns that we want to pivot longer or to concatenate, the name of the column that'll contain the column names and the name of the column that will have the values in those columns, okay? And again, that's really the only new thing that we're putting into this pipeline. And so again, with very small changes to a pipeline, we can make a dramatic effect. And this plot, frankly, I find really intriguing to me. I didn't realize that small lambs were so much more valuable. I mean, I knew they were higher price, but I didn't notice that their prices kind of fell through the last half of the year. And also, if you kind of look a little bit closer, maybe I'm kind of looking too closely, it seems like the small lambs peak in price before the mediums, before the largest and before the extra-larges. One other thing you'll notice is that we lose the data for small lambs in about 2019. One of the exercises to follow will have you look at perhaps what class is replacing those small lambs. Is it the feeder lambs or is it the new crop category? Now I'd like you to engage with the material that we've discussed today to answer other questions that I have about these data. Doing these exercises will really help you to strengthen your skills in analyzing data. The first question is that on the second page my lamb prices workbook is the column called Holidays. Is the tab called Holidays? Sorry. And you'll notice that the rows here are the different holidays, the columns are the years, and then the cells contain the value of the date that the holiday falls on for that year. So you'll notice that Passover and Easter and the different Eid holidays and Ramadan vary over the course of the year where something like Christmas is December 25th every year. So what I'd like you to do is go ahead and take that data frame, read it into R, and make the data frame tidy so that there are columns titled Holiday, Year, and Date. Next, on the second question, the data that we made in the final plot was pretty noisy. What happens if you use GM Smooth either in addition to GM Line or in place of GM Line? Remember the different arguments that we used last week or in the previous weeks with GM Smooth to make it look a little bit more aesthetically pleasing and do a better job of fitting the data. Finally, I'd like you to create a plot comparing the small feeder lamb and new crop classes over the past five years. As I mentioned, the 2019, the small lambs went away from being recorded, and I'm curious which category most resembles that small lamb class in its prices, okay? So go ahead and pause the video. When you're done, play again, and I will show you my results to these different questions. Well, I hope you enjoyed working through these exercises, and even if you weren't able to get through all three of them on your own, I hope it kind of scratched some sparks of your brain to get you thinking about what we've covered over the past few weeks or perhaps what you've known from other contexts of learning are. So for this first problem, I'm gonna go ahead back up to where I defined auction data, and I'm gonna copy this read sheet component, and then I'm gonna modify that to read in the holidays tab. So instead of sheet numbers and prices, I'm gonna put in holidays, and I'm gonna go ahead and remove these lines because we use that A through J because there's some random stuff in column K, but let's read this in and see what we get. I'm gonna make this a little bit bigger so it's easier to see, and what we see is that it's reading in the column for the holiday, 2015, 16, 17, 18, 19, 20, and 21. It's reading in and in as a date time variable. So I'm gonna go ahead and change this to be call types, and I'll say C, and then we've got seven dates. So I'm gonna use the capital D to indicate the date format, and so we read that in, everything looks good. Now what we wanna do is we wanna pivot longer, and so I'll do calls equals minus C holiday, and we'll then do names to year, and values to date. So I'm gonna want the columns that we want to join on, the names, the column that the names of our columns that we're concatenating with what that column is called, and then the column name where our values or our dates is gonna go, okay? And so we run all this, and sure enough we now get a data frame that has the holiday, the year, and the date. Excellent, so we've mission accomplished on this. So the next question asks us, the data in the final plot we made was pretty noisy. You know, you're looking at this and it's pretty jittery. What happens if we use geomsmooth in place of geomline? So I will go ahead and grab this block, paste it in here, I'll run it again to make sure everything works fine, and instead of geomline, let's put in geomsmooth. And so those lines don't really look at all like the data we had. Perhaps to make it more clear what we had, we could also plot in geomline to get a sense of that. And I mean, the lines do go through the data, but it's not a very, it doesn't really track. So we talked last week about using span equals zero, smaller values of span will make the curve more wiggly. So I'll use 0.1, and sure enough then, we see that our lines do track the observed data. I'm gonna go ahead and remove geomline because it makes things kind of noisy, and I'll go ahead and do SE equals false because I don't want that gray cloud, again for my viewing purposes. And sure enough, we see a much clearer picture of what's going on, and at least to my eye, it does seem that those small lambs peak in value before the medium, which peaks before the large and the extra large. And you can kind of see that across all of the classes. And so again, what the next question we'll have us engage with is, after the small lambs went away in 2019, what were they replaced by? All right, so to answer that, again, I'm gonna copy this code chunk down for this third problem. And instead of looking at all these classes, I'm gonna look at small feeder lamb and new crop, and I'll get rid of the extra large category here. All right, and so if we run that, let's see, I think it's feeder lambs, not lamb. There we go. And so what we see is prior to them getting rid of that small class, the small and the new crop kind of tracked each other. It was really confusing because I would talk to the manager of the auction and say, what's the difference between small and new crop? And they sounded like about the same thing. So anyway, I think they got rid of it because other people were asking the same question. But you can see the feeder lambs bop around at a lower price point, but that the new crop and the small track each other fairly well. So I'm gonna update my title to say that small lambs or the small lamb category was replaced by the new crop category. And again, I have got that, wrap my title a little bit better, and there we go, okay? So know that with when we added that aesthetic for color that it's giving us some default colors. Here it's using a red, green, blue. And those might not be the best colors or your favorite colors. In a future code club, we'll talk about how we can customize those colors as well as customize this legend a little bit so that perhaps instead of being underscore feeder lambs, it could be feeder lambs, capitalized or title case, and same for new crop and small, okay? But again, we don't wanna overburden us with too much new information. The focus of today's code club really was looking at the pivot longer function to take a wide data frame to make it longer. And with that, making it tidy. Thanks again for joining me for this week's episode of Code Club. Be sure that you spend time going through the exercises on your own to help reinforce your new skills. Even better would be for you to take the data and tools we've worked on today to answer your very own questions. I'd love to see what you did. Please feel to drop a line in the comments below to tell us what question you were eager to answer. Also, please let me know what types of data analysis questions you have and I'll do my best to answer them in a future code club. Please be sure to tell your friends about code club and to like this video, subscribe to the Riff-Amonas channel and click on the bell so you know when the next code club video drops next Thursday. Keep practicing and we'll see you next time for another episode of Code Club.