Welcome to OpenGeology. This is an effort to share geology with everybody. This is created by Salt Lake Community College instructors. This goes with a textbook at opengeology.org slash textbook. Today we'll be talking about sedimentary rocks, specifically chemical and biochemical sedimentary rocks. Chemical sedimentary rocks are, unlike plastic sedimentary rocks, rocks that precipitate from solution. This is, and by precipitate I mean crystallize or form out of water, which is the opposite of dissolve. I have included a video of crystallization and I'll put the link to that video in the description of this one. Precipitation can occur either by inorganic processes like evaporation or from groundwater or organic processes such as critters pulling chemicals out of the water to build their skeletons in homes or large piles of shells from those critters. We're going to talk about several different types of chemical sedimentary rocks. So let's start with limestone, which is one of the most abundant ones and one of my favorites. Limestone is made mostly of the mineral calcite, which is calcium carbonate and the depositional environments for limestone can include both inorganic and biochemical origins. Here's a picture of some limestone in beautiful Logan Canyon. Some biogenic biochemical limestone is generally made mostly by marine organisms and a good guess for a depositional environment for this type of limestone is coral reefs. Coral reefs often produce fossiliferous limestone, which is a shell and fossil hash with cement and calcium carbonate mud in between the fossil shells. I'll have a picture of that in an upcoming slide. And then another type of this biochemical limestone is chalk, which is made up of these microscopic shells. Here's a picture. Some of the microscopic calcium carbonate shells. I think they're called coccolithophores, but I'm not positive on that. Here's a picture of that depositional environment we were just talking about. And here is a picture of some fossiliferous limestone. You can see in the profile view where this limestone has been cut, all these little shells that kind of look like cornflakes mashed together with little fine gray mud in between each shell.  Uletic limestone is another type of limestone and its depositional environment is warm shallow ocean water. To make uids you need three things. Water that is super saturated or has a very high amount of calcium and carbonate ions. You need something for the crystals to nucleate on to grow on. And a very common thing for that is fish poop. And then finally you need a gentle rolling motion in shallower and water to kind of roll these nucleating crystals around. And when they get glued together you get beautiful limestone like uletic limestone. Next we have inorganic limestones like travertine and tufa. These form from the precipitation of calcium carbonate or calcite as the water that is carrying that calcite the ions for that calcite degasses. So here is a picture of some tufa forming at mammoth hot springs in Yellowstone National Park, the north end of Yellowstone. And as the water leaves the groundwater system and emerges to the surface it degasses and releases its calcite in these beautiful tufa terraces. And then in a fairly similar process here's water moving through a cave system and as it moves to the cave system it precipitates its calcium carbonate as travertine. A similar or close relative of limestone is dolastone. It's made of dolomite which is very much like calcite except it's magnesium calcium carbonate. And there's still some debate as far as I understand of the origin of dolastone but some potential depositional environments include flat tidal lagoon areas where you have super concentration of magnesium and calcium ions. And then a lot of people think that a lot of dolastone could form as a secondary process after the rock becomes lithified. You can have groundwater moving through that's magnesium rich that changes limestone into dolastone. Dolastone is generally harder than limestone and it doesn't fizz as readily when you put hydrochloric acid on it. Another cool type of chemical sedimentary rock is chert and you can have both biogenic and non-biogenic chert. Biogenic chert forms like biogenic limestone from like biogenic limestone can at least from these tiny microscopic shells. So this is kind of the equivalent to chalk for biogenic limestone except these shells are made out of silica right. I think these are diatoms in this picture. And these will accumulate at the ocean bottom beyond the zone where calcium carbonate generally can precipitate. So at a fairly great depth you get these salacious oozes that will pile up and then later lithify. So a good depositional environment for this is an ocean floor. For the non-biogenic chert this can commonly form as salacious center which can happen at hot springs or a lot of times you can be depositing quartz in groundwater systems. Special groundwater silica rich groundwater systems. Another type of chemical sedimentary rock are evaporites and a great example of a depositional environment for these is the Bonneville salt flats. And here you see an immense amount of evaporites which is the white rock in this picture. These are created by the process of evaporation. As water evaporates from apply a lake or something similar it concentrates the ions in that water and causes precipitation of halite and gypsum creating rock salt and rock gypsum. Coal is a very important chemical sedimentary rock and this forms from the accumulation of plant matter. So a really common depositional environment for this is swamps and peat bogs. And here is an example of what that depositional environment might look like. This will eventually create peat which can accumulate in large quantities and then they'll get compressed and over time through the process of diagenesis you'll create different grades of coal. And so that is it for chemical sedimentary rocks. Please do come back for some depositional environments and sedimentary structures.


All right, nice. What's up, y'all? We're back. Missed ya. Missed ya last night, yeah? What's going on? Is everybody doing? Good. Sounds coming through. We'll use this, look at this. Sweet new camera, oh my God. All right, 66 orders to go. Let's just do the dang thing. I got some more stuff to add to my spot sheet too, but for now, we're good. Aaron grabs the O's in prism number two, which is the break that is sold out. So we'll start off the day with prism baseball, 12 box case number two. So I think Aaron, Zach grabs the Rock, he's in number two. Thank you, Zachary. Ryan will grab the first spot in the impeccable soccer R&B. We're gonna have no walk. Thank you, Ryan. Matt Smith grabs the Yankees in prism number two. We're gonna thank you, Matt. Kaishan with the Cardinals in prism one. We got a third one of these, yeah? Third one up on the side. Kaishan. Jeff grabs the Pirates in number two of prism. And in number one, I just think Jeff. Jeremy grabs the Braves in two and three of Topps' Chrome Jumbo. Number one already sold out. It's gonna be fun, man. Chrome's gonna be hot, hot, hot, hot. Jeff grabs the Braves, but in prism. Number one, thank you, Jeff. Mickey grabs the Guardians in one and two of prism. Joseph K. with the D-backs in prism one. Jeff with the Blue Jays in one. Jorge with the Cardinals in two and the Dodgers in one. Thanks, thank you, Jorge. Gabriel with the Mariners in two. Tara with the Mets in two. Tara, Chris with the White Sox in one and two. Patrick with the Marlins in three. So it's our first for number three. Miami Marlins going to Patrick Davis, thank you, Patrick. Jared Grouse, then Nats in number three. John Gotti with the Mets in eight, nine and 10. That's the new list. Here, eight, thank you, John. Francis with the Reds in three of prism. Ed P. grabs the Cubs in two. And A's and Red Sox in three. What's up in the sky? Tigers and Breweries in three, four. Francis, Tigers and Breweries. Also grabs the Pirates, Cardinals, Cubs and Twins. Cubs, Twins, Pirates and Cardinals. Okay, Kishuke with the A's in eight, nine and 10. Up tops, Chrome. Kishuke, thank you. Michael P. grabs the Blue Jays in eight, nine and 10. 50, Tom, you go ahead, switch the style up. And if they hate them, let them hate them, watch the Money Pal. And the Rays in prism three. Kevin grabs the Royals in two. Ceci grabs the Dodgers in prism two. Jerry grabs the Royals in eight, nine and 10 of Chrome. Yes, then the Models. Thomas grabs the O's in nine, big team down there. It's Thomas. Ed P. grabs the Astros in eight, nine and 10. Tara grabs the Blue Jays in prism two. Gabriel grabs the Mariners in three. Andrew grabs the Giants in three. Jeff with the Braves in three. Aaron will not let it go, grabs eight and 10. Narrowly missed nine, but gets eight and 10 for the tops, Chrome, Jumbo. Thank you, Aaron, nice. Another big one down. Tristan grabs the Yankees as Yankees. And the prism three, Tristan. Nicholas grabs the Rockies in eight, nine and 10 of tops, Chrome, Jumbo. Always had a passion for fashion before I had it. I closed my eyes and imagined the good life here. An all-timer, and the only girl calling me, baby. All right, so for the Hip Parade Baseball, it's a 10 box. I'm good. Parade, mixer, sapphire. And the filler for that is the capstone. Six spots. It's just Zach with the first three spots in the capstone baseball. Six spots being given away in the Hip Parade. Emerald and sapphire, five box each mixer. 10 boxes total. Nice. Jonathan will grab the Braves in prism two. Richard grabs the Nats in seven and nine. And a big team, Angels in eight, nice.  Also grabs the Nats in three, five, eight, 10. Three, five, so it's Nats down. Also grabs the Mariners in eight, the Tigers in 10. Got nice, thank you, Richard. Filling it up. Chris grabs the White Sox in prism three. Chasing K, first two spots in the Hip Parade Baseball, 10 box mixer. Thank you, and a spot in the capstone, a filler for it. Nice, thank you, Jason. Aaron grabs his O's in prism three. Matt Smith grabs the Yankees in eight, nine of tops. Chrome, and 10, nice. All right, we got a new one for the basketball. Gonna be in Peckable, three box, PYT number six Peckable, three box. First spot, the Portland Trail Blazers going out. Big team down there. Also grabs two in the Hip Parade Basketball Sapphire. Oh, Serious, out of two spots in that. Hip Parade hit basketball, Sapphire, PSA 10. It's all PSA 10s in a 10 box case. Random team at number one. Thank you, out of two spots down there. Aiden grabs the Red Sox, and tops Chrome at number two. Aiden, Jinghua grabs the Timberwolves in the in Peckable. Eugene grabs the Hip Parade Baseball Spots. Straight up, thank you, Eugene. Chris Walker grabs the Hip Parade Baseball Spots. Straight up, thank you, Chris. Steven grabs the Phillies in one, two, and three of prism. Travis grabs the Tigers in eight. Tops Chrome. Sean grabs the Heat in Peckable. Jared grabs the Capstone Baseball Spots. Jared. Sean also grabs the Raptors in the in Peckable. Double dip, thank you. Eric with the Royals in three of prism. Jimmy grabs two spots in the Capstone, and a straight up spot in the Hip Parade Baseball. Nice, thank you, Jimmy. Zach grabs three more in the Capstone Pack. Nice, thank you, Zach. Craig grabs the Capstone Pack. Spots. Sal grabs the Royals in prism one. And the Padres in three. And Blue Jays in three. We got Sal spreading it around, thank you. Dave grabs the Brewers in nine. Dave. And the Padres in nine. Should be one more real quick. Scotty grabs the Mets in one. I think that's a last spot module in that too. It is, nice. All right, so called 1230, two. Two sold out first, we'll call it 130. Two sold out first, then one sold out. Eight spots left in three as well. That's okay, we'll make this. Two, playbook, 16, random division. Let's go grab those cases, yeah? Two first, then one. Let me check real quick. What last spot module? Steven? Yeah, Steven did. Fun, nice, nice, nice. With the Phillies. Keep that in mind. Go, let's grab those cases, yeah? Grab some supplies, Jesus Christ, what are we doing over here? Let's get started, yeah, let's have a fun one. What's good, y'all? Chris from jassescasebrace.com. How's it going? Happy Saturday, glad to see you back here on youtube.com, such as jassescasebrace for the day. It's our first break of the day, new release, 2023 Panini Prison Baseball hobby, 12 box case break, PYT number two. Number two sold out first, number one sold out a few minutes ago, so after this, we'll do number one, but we're all good to go. We'll switch screens, got our full case, 12 boxes of prison baseball, PYT number two. Steven, last spot module with the Philadelphia Phillies. As we're doing it like this. Still getting used to a little bit of a new layout, a little bit of a something fresh, you know, something new, something different. It's always good for the soul. We seem all good to go. So let's just get started. We were live today on the FNAF, the FNAF's live. Some fun stuff, Jason, Joe, Nick, pretty sure by now all the breaks that did happen, some recaps should have been on the youtube right now, so here we go. Prison baseball, three autos per box. We need some good stuff in here, looking for some mangas. We're going to go into prison baseball, some color blasts as well. Let's do it, good luck everyone. Thanks again for getting this sold out. We have PYT number three on the site right now as well. And that's gonna be it for now, just the three cases so far. Gonna be a mix of prospects, gonna be some retired players, some hall of famers, some great, great names in this. Some guys who were in the microbeads, called up, already killing it, guys like Ellie De La Cruz, guys like Jordan Walker, Masatake Yoshida in here as well. I think he's a redemption, so Red Sox is gonna be Ed. If we see that white redemption sheet, good luck man. Let's get started, good luck y'all, box one. So we got first auto, gonna be Gabriel Gonzalez, potential penmanship silver for Seattle. Man, this is gonna be Gabriel, Gabriel for Gabriel. Future Supers, Masatake Yoshida, Red Sox, all the Yoshida's gonna Ed at P, got the rangers straight up. There's a red Craig Vigio, hall of famer for the Houston Astra, it's gonna go to Aaron, 130 out of 199. Points in our first box, don't like to see that usually. Peek for Armstrong Silver, all the points in this break. Gonna be randomized all to one spot at the end. Blue, Luis Angel Cunha for the Texas Rangers. It's gonna be Michael, excuse me, gonna be Gabriel. One more time, Gabriel, one more. 007 out of 149 on the Luis Angel. Chase Young, first runner from last year's draft, next auto, gonna be AJ Smith-Schauver, potential penmanship cracked ice. Gonna go to the Atlanta Braves and Jonathan Beaver. Nice cracked ice, not numbered, still a sharp looking card. Red Addison Barger for Toronto. I'm gonna Tara, 128 out of 199. Other cracked ice, gonna be Mike Mussino, usually one of these per box, if I was to leave on them. Baltimore Mike Mussino, it's gonna go to Aaron. Carter, red wave non-numbered. On the purple, Grant McCray for San Francisco. DIY with the Giants, seven out of 99. Ken Griffey, junior, of course. But our first mojo, gonna be Marty Osso. Old school since then, you're at 24 out of 25, the Reds and DIY. Smolts on the cracked ice. Here's the one current player that I've seen and a lot of Panini stuff this year. Bobby Whit Jr. made the list. Pot of gold, Bobby Whit Jr. Grayson Rodriguez, let's see if I'm on him. Here's the one too, so rookie card on the Bobby Whit. He has rookie stuff in 2022 present, but just in case, Ruffo a sleeve on it, all the Bobby Whits going to Kevin. We got the Royals. Red, Payton Pallett for the Chicago White Sox. Gonna go to Chris. 69, nice, out of 199. Got a Jeff Bagwell head for as well. So the points took one of our autos, so hopefully no more of those. We don't wanna trust our hits. Our purple hop box here, we do, nice. So a purple hop box, one of these per case, purple cracked ice, one in every pack. So, off the sleeves on all of those, very nice. Let's throw the lava round, see if everybody gets it. Get as many across the board as possible. Blue, Jack Morris for the Tigers. Elijah Green as well, Elijah Green for the Nats. Their first round pick from last year. Jack Morris going to the Tigers in Francis. So two purple cracked ice, what goes on each of these obviously, Sam Rice for the Washington. I think Senators, off the double check. The Senators eventually became the Twins. Washington Senators, yeah, now known as the Minnesota Twins, cobalt founded in D.C. in 1901 as the Washington Senators. So, that's Sam Rice, we'll be going to the Twins. And then Drew Gilbert, first rounder for the Astros. His pass draft. Hope up, Leonard, gonna be an interesting one. After you randomize all the Negro League players. Pretty cool addition in this year's Panini stuff. So we'll just, same was the points. I think the, we'll do the same randomizer. Top spot will get the points. Second spot will get all the Negro League players. Ivan Melendez for the D-Backs, purple, gonna go to Jonathan. What's your name Jonathan? Tristan, 52 out of 99. Herman Kilgrew out of Amador. And it looks like we do have a redemption here. So we'll save this one for last. Carson Williams, Pete Rose. Those are Drew Jones in there. Red, Whitey Herzog for the St. Louis Cardinals. Manager. St. Louis gonna go to Jorge. 152 out of 199. Cole Young and Lefty Williams. Next auto. Nice, our first goal, that's a nice one. Junior Caminero, big prospect for the Tampa Bay Rays. Michael, Michael P. Nice, gold, Caminero. Eight out of 10. Jipper Jones and Colton Couser. Blue, Jason Dominguez for the Yankees. Matt Smith, 148 out of 149. Ryan Omar Voskell. Tucker Toman and Gavin Cross as well. Green Scopes, Willie Stargel. Next auto. Gonna do Michael Burroughs on the Red Wave. Signatures, Pittsburgh Pirates. Gonna go to Jeff. Non-numbered on the Red Wave auto. Quinn Priestor and Lou Brock. One more for the Pirates of the Willie Stargel. Green Scopes, 25 out of 75. So we'll have all three of our autos at redemption coming up next. And that's a gold of Yuri Perez. He was killing it for the Marlins. Miami, that's gonna go to Francis. Gold Yuri Perez, six out of 10. Nice, second gold of the break. Let's keep that going. JT again, big poppy. Bari Doby and Jacob Miserowski. In our redemption, good luck behind the Jared Schuster. Ah, that's second to it. Nice. Green Scope, Jason Dominguez signatures. Nice one for Matt Smith and the New York Yankees. Isn't that great tire sticking to it? Box three. Jackson Job for the Tigers. One more for Francis, 71 out of 149. Congratulation, Junior on the Red Wave. Brian Ramos, 195 out of 199 for the Chicago White Sox. One more for Chris. All right, first auto. Gonna be Jack Wider, potential penmanship on the Crack Dice for the Texas Rangers. Gabriel grabs the Jack Wider. Purple John Smoltz for the Braves. Atlantis, Jonathan. 65 out of 99 on the Jonathan Beaver. Or Bobby Whitt. Next auto, gonna be Curtis Mead. Another top prospect for the Rays. Tim Pevee doing well so far. Michael P. grabs the Curtis Mead signatures. Ryan Zimmerman for the Washington Nationals. Gonna go to Jared. 197 out of 199. Francisco Alvarez, silver. Having a nice little rookie season for the New York Mets. Just gonna go to Tara. Greenscopes, Carlton Fisk. Next auto, gonna be Ty Madden, potential penmanship on the auto for the Detroit Tigers and Francis. Man, how's it going? Carlton Fisk, Greenscope for the Red Sox, 5 out of 75. Boston, gonna go to Epi, up to Yoshida. Another gold, ooh, the Black and Gold, nice. Black and Gold, Francisco Alvarez. Tara and the Mets, gonna be 5 out of 5. Ooh, very nice. Tara, congrats. Future Stars, on the Mazataka Yoshida. Box four now. So I don't have any of our case sets yet. See what we can grab. Let's get our gold card. Nice, keep that. Another Black Gold, nice, Bob Lemon. Old school for the Guardians on the Bob Lemon.  On the Red, Kevin Alcantara. Chicago Cubs, gonna go to Epi. 186 out of 199. More points, coming out. Same thing, will be all randomized to one spot at the very, very end of the break. Jet Williams, blue. One more for Tara and the Mets, 138 out of 149. Nice, old school twin, Justin Morneau on the Red. Minnesota Twins, gonna go to Eric Gwill. Former MVP, non-numbered Red Auto. Jordan Walker in there. Bill Mazurowski, Red. Pittsburgh Pirates, gonna go to Jeff Gordon. 172 out of 199. It's like Nettle Crack Dice, having a nice rookie season for the Angels right now. Wits. Milo Marte on the Red Wave. Duane Marichal, Giants and DY. 50 out of 149. Next, Otto. Gimbi Orvelles, Martinez. Potential Penmanship, for the Toronto Blue Jays and Tara. Purple. PCA, Pete Crow Armstrong for the Chicago Cubs. One more for DY. Ooh, and Armanga, nice, do have a Manga here. I'll pull from the back. Armanga is, wow, Babe Ruth on the Manga. For the New York Yankees. Matt Smith, congrats. That is nice right there. Grape Bandino, Soma Swat. Catfish Hunter, first auto. Gonna be James Wood, now a big prospect with the Nats. Washington Nats and Jared. James Wood on the auto. The Catfish Hunter for the Oakland A is gonna Patrick. 96 out of 99. Red Tom Glavin. Next, Otto. Gonna be Michael Bush from the Dodgers. Stacy got the Dodgers. Michael Bush on the signatures. Tom Glavin for the Brave, 62 out of 199. And a Blue Greg Maddox. Go for the whole rainbow, why not? Jonathan. One more for the Big Three. Got a small Sodor too.  Samuel Saval on the red wave there. Purple Archie Vaughn for the Pirates. Next, Otto. Gonna be Gordon Graceffa. St. Louis Cardinals, it's gonna go to Jorge. Archie Vaughn for Jeff and the Pirates. 32 out of 99. Greenscope, Joe Morgan for the Reds. Yoshida on the Silver Prismatic. Joe Morgan Reds, Reds. Greenscope, gonna go to DIY. 47 out of 75 and a Blue. Marcel Omeo, top prospect for the Red Sox. One more for Ed. 41 out of 149. We got the second half of this case. Got our Manga already soon, we can grab a color blast too. Pretty cool. Couple of golds too. Nathalajois for the Guardians, red. First Otto. Gonna be Tower Sodorstrom on the Cracked Ice. He's up right now for the A's. Oakland, Patrick Davis, non-numbered Cracked Ice on the Potential Penmanship. Nathalajois for Cleveland, gonna be for Mickey. 195 out of 199. Greenscopes, Joe Tinker for the Chicago Cubs. All right, with Jim Rice. Gonna be Ed P, 51 out of 75 for the Cubs. All right, this looks like another gold. And black, gold, black, Sandals Lava, nice. One more, it's our third of the case so far. Let's keep that going. Sandals Lava for the Padres, gonna DIY five out of five. Very nice, another Otto coming up. Cam Collier, Greenscopes. First round pick for the Reds last year, nice one for DIY. 64 out of 75 on the Cam Collier. Next Otto, one more, Gordon Griseffa. Purple on the signatures this time. One more for Jorge and the Cardinals. 80 out of 99. Rick Ferrell on the blue. 142 out of 199. Larry Walker on the blue this time for the Rockies. First time I think I'm calling that one. Zachary, 140 out of 149 on the Larry Walker blue. Red and Noah Schultz for the White Sox. First rounder, last year's draft Chicago White Sox. One more for Chris. 88 out of 199. All right, second half of the case here, let's get it. I was thinking my stacking, my going through the cards. Saw a couple of Japanese pictures who were not on a team as well. So I think for that randomizer, second spot's gonna get all of the Negro Lee cards and then pretty much just any player not associated with a team. So those NPV pictures. And anything else might be in there. New format for the desk, very weird. I don't know why this, very small one is here. Little noise, stuff to figure out from last night's stream, you know? Format and hang on the desk is number one for me. All right, let's go box seven. Ooh, on the Elijah Green. One more Elijah Green for the Nats. And Jared, 14 out of 199. Like Cool Puppa Bell, Negro League player, never played for an MLB team. I'll all go to one spot. Brian Ramos on the orange wave out of 50. Signatures, Brian Ramos. The Chicago White Sox and Chris, seven out of 50. Tinkhens for the Cardinals. One more for Jorge, Green Scopes, 59 out of 75. A giraffe skin, oh nice. For Evan Carter. The giraffe for the Texas Ranger, non-numbered little short print. I don't know how many there are gonna be in a case, see how rare these are, but Evan Carter, giraffe going for the Rangers and Gabriel. Nice, it's a fun little surprise. Our orange wave, gonna be Al Kaline for the Detroit Tigers. Francis, 25 out of 50. Nice auto. Gonna be a David Ortiz, Green Scopes, nice. Boston, an EP. Big Poppy, Green Scopes signatures. 24 out of 75. Very nice. Al Bridwell, 91 out of 99. New York, which New York, though? Maybe for the Giants, the New York Giants, so San Fran, gonna go to DY. Next auto. Brian Rockio for the Queer Wing Guardians. One more for Mickey. Base signatures. Nice, Purple Jackson Choria for the Milwaukee Brewers and Brian. 70 out of 99, one of the top prospects in baseball. Bobby Witts. An old car match, red Wade Boggs. Nice little box for the Red Sox here in Ed. 19 out of 199, one more Bobby Witts. Do this, I don't like this here. Our Red for the Brewers. Our to sell Red Wave, not numbered. Paul Malder for the Brewers and Brian. 22 out of 199. Blue JT Gin. Or Gin, it's like Jeffery Giff, I'm sure. Next auto, gonna be a Colton Couser. Potential Penmanship, just made this Major League debut a couple weeks ago for the Baltimore Orioles. Nice one for Aaron. JT Gin, going to the A's and Patrick. 146 out of 149. Revolves Martinez-Red. Next auto. Adele Amador. Signatures for the Rockies. One more for Zachary. Another guy on a Major League roster right now. Revolves Martinez-Red for the Blue Jays. One more for Terra. 183 out of 199. Zach Veean-Purple, a little bit of a color match there. One more for Zachary. 84 out of 99. Carol Baines-Red, all famer. He's in. Next auto, gonna be Owen Murphy. Signatures for the Braves. Jonathan Beaver. Chicago White Sox, Aaron Baines. Harold Baines, gonna succeed. Six out of 109. It's gonna Chris. Aaron Baines is a journeyman for the NBA. Green Scope, Roger Garius. Nice prospect for the Yankees. Roger Garius going to Matt Smith. Green Scopes, 18 out of 75. Box nine, here we go. We're in Make-A-Bell for the Phillies. What's up, man?  Green Scopes, Cole Young for the Mariners. There's an Ellie for his Matic. One more, Jack Leiter. Purple this time, out of 99. Signatures, one more. Four, Gabriel and the Rangers. 47 out of 99. Slowly in front of Bowman first, by the way. What's going on, kid? First Ellie Dela Cruz that I've seen going to D.Y. and the Cole Young for the Mariners. It's gonna go to Gabriel. Three out of 75. Right at Addison Barger.  Signatures on the Jared Schuster. One more for the Braves. Braves doing pretty well here. Jonathan. Another auto ahead in your way. Senior, Addison Barger for the Blue Jays. 166 out of 199. Blue Bobby Doer for the Red Sox. Jackson Holiday, Prismatic. He is killing it this season in the Mariners, man. The O's have another guy waiting in the wings. Ridiculous. 66 out of 149 on the Bobby Doer. Purple Brennan Barrera. First rounder for the Blue Jays. Next auto. Gonna be Kyle Manzardo on the Silver Signatures. One of the raised top prospects right now, Michael P. I think she played up in the majors a little bit as well. If the Rays make any moves or a big name, maybe potentially Shohei Otani, expect Manzardo to be involved in that deal. He's a big, big guy. 36 out of 99 on the Barrera for Tara. Hack Wilson, Red. Silver Prismatic Bobby Witt. Throw a sleeve on it just in case. So why not? Hack Wilson for the Cubbies. It's gonna go to Ed. 117 out of 199. Last three bosses here. What a pretty solid case here. Some nice names. Some low number stuff. Let's get it back going. Other Jackson Choria. Red this time. One more Jackson Choria for the Brewers and Brian. 167 out of 199. Blue David Ortiz. One more points. Turning into a pretty big lot at least. I think we're at 3,000 points so far, so not a bad consolation prize. 36 out of 149 on the Poppy. One more Fred P. and the Red Sox. David Ortiz. Brennan Davis on the Purple. Bobby Miller. Upside down, looks like it might be a short. I'll put it into a sleeve on the top. But a Bobby Miller for the Dodgers. Gonna go to Stacey. He's really showing that stuff. So electric on the mound.  Purple, 73 out of 99 on the Owen Murphy auto. Jonathan B. One more Brave's auto. Brennan Davis for the Cubs. Gonna go to Ed P. as well. 76 out of 99. Sam Crawford, old school. Red for the Tigers. Sam Crawford going to Francis. 144 out of 199. Got the Tigers. Got my last auto in this stack. Blue Miguel Blyce out of 149 for the Red Sox. One more for Ed. Gonna be Addison Barger on the Cracked Ice Auto. Cracked Ice signatures for the Blue Jays and Terra. Boy's one of the Red Sox top prospects. Purple, Avi Lopez, old school catcher. Brave's addition on the Lopez. Out of gold, silver, Brooks Lee. Avi Lopez, 69 nice out of 99. Pretty good catcher back in his day. Some nice contacts, pretty good glove. I think he switched hit too. He had a great mustache. Which is come back in a style a little bit. I would never rock a mustache. I'll stay solid with the beard for now. Second to last box here, box 11. Got one more after this too. Owlider on the Orange Wave for the Metz. Couple Jack gliders earlier in the break. But the Owlider, New York Metz, gonna go to Terra. 15 out of 50. Pretty house on the Red, prospect for the Nationals. First auto. Gonna be Jose Rodriguez for the Chicago White Sox. One more for Chris. Pretty house for the Nats. Gonna go to Jared. 79 out of 199. Other Francisco Alvarez. Nice Jordan Walker Red. Technically a work card. For the St. Louis Cardinals, gonna go to Jorge. 94 out of 199 on the Jordan Walker. Nice. There's Sheetah in there. All cards shipped thankfully. So if I don't see one that gets in put into a C when top load. Sort of team will do it. Pat Gillick for the Blue Jays out of 199. Pat Gillick, one more for Terra and the Blue Jays. An executive. Sure. Blue Goose Gossage. Gonna be Yankees Edition Goose Gossage. Our next auto. One more, Bobby Miller. Auto this time, nice. Signatures on the Bobby Miller. One more for Stacy and the Dodgers. Ellie, fireworks. Blue Goose Gossage. Blue, 122 out of 149. Green Scopes, Nick Gonzalez. On the Major League roster for the Pirates right now. Last auto of this box. Will be Kevin Alcantara. Silver on the signatures. One more for Ed and the Cubs. Nick Gonzalez for the Pirates. Gonna go to Jeff. 41 out of 75. And last box. When a solid case, got a few black bowls. Got a really nice one there. Some nice prospects. Some big name vets for some of the autos. So if we can grab a few more banners in our last box. Thanks, y'all. This is number two. PYT-1 coming right after this. And PY-3 still on the side as well. Last card in that little stack on the right. All right, good luck, y'all. Sterling Thompson, red. Thought it was Ellie. Sterling Thompson for the Rock. He's gonna go to Zachary. 107 out of 199. Purple Kyle Harrison for the Giants. One more Jose Rodriguez on these signatures. One more J-Rod. Not the one we're looking for, but one more J-Rod for Chris and the White Sox. That'd be the only J-Rod in here. Kyle Harrison, purple for the Giants. It's gonna go to DY24 out of 99. Red Joe Torrey for the Braves. There's an Ellie. Jonathan Beaver with the Braves, gets the Joe Torrey red. 97 out of 199. Took a mojo coming up. Good luck. Gonna be Jim Rice, former MVP for the Boston Red Sox. Ed Pete, one more nice vet heading your way. Six out of 25 on the Jim Rice. Jim Tomeo on the silver. Nice red Ichiro for the Mariners. Next auto. Kobe Mayo, another top prospect for the O's, man. They're gonna be good for a long time. Silver signatures, Kobe Mayo. One more for Aaron and the O's. We Ichiro Red going to the Mariners and Gabriel. 138 out of 199, one more Bobby Miller. Super futures. Blue Robert Hassell for the Nationals. And our last auto. Gonna be Robert Hassell on the purple. Nice. Washington Nationals and Jared Snags. The last two hits. Blue base, Robert Hassell and the purple auto. 88 out of 99 on the Hassell. And the base, 48 out of 149. All right, nice stuff. Again, pretty good case. PYT2, almost done. We got one more thing to do after this. Do a recap of all of our top boat. It's a nice autos, prospect and vets alike. Nice David Ortiz green scopes. Nice giraffe. Cam Collier, our first of three black golds out of five. Assembles of all for the Padres. Our manga. Babe Ruth, nice for the Yankees. Bob Lemon for the Guardians. Francisco Alvarez, nice one for the Mets. Justin Dominguez on the green scopes redemption. Couple gold, Jerry Perez, Junior Caminero. Big one for the Rays. Some nice, nice stuff. All right, so first up, we'll do one randomizer for both, but we got three points to give out 900, 1500 and 600. It's gonna be the math. I have 3,000, 3,000 total points. I'm gonna go to the top spot on the randomizer. Second spot, we'll get all the Nero League and unassociated players. So some of the Japanese League guys will be going to you. All in the same randomizer. Let's switch screens. Let's grab all of our names here from Tristan down to Jared. Our fresh dice, our fresh list. So top spot gets all the points. Second spot gets all the non-affiliated. All right, so the dice and randomize. Good luck y'all. Three and three, six times, good luck. One, two, three, four, five and six. Sixth and final time, top two. Number two, gonna get all the players. Gonna be Aaron, nice. And the points, all going to Eric. All right, so let me make some notes real quick. All the points go to Eric and Aaron Billingsley but the non-affiliated. All right, there we go. And that's a break. Thanks again y'all. PYT two done. PYT one coming up right after this. Sold out nice. All right, thanks again y'all.


I have this magnet viewer here, a magnet, so this magnet viewer allows me to visualize the magnetic field produced by this magnet.  So that's a visualization of that magnetic field. Let me get a second magnet in, let them attract each other like this. And now you can see the field produced by two magnets. Now this magnet field viewer allows me to see the magnets inside, for example an iPad. So I have a magnet here on the corner and here two other magnets, that's probably from the speakers. And then here also the other corner, like this. And if I look at the cover, so I have two magnets here, one here, so it's a bit more in the cover. Here four magnets, another one in the corner and then here.


Hi guys, I'm Nikunj. I'm here to talk about the platform which we have created Zomato about real-time machine learning in France. So just show off hands, how many of you do know something about machine learning? What is machine learning? Cool, just half of the crowd knows. I'll tell you a bit about machine learning before starting to dive what we have created and why we have created. So what is machine learning? Machine learning is a simple problem that given an input, for example, let's take an example. Given an image, you have to detect whether this image is of a car or not. So the general process what follows is you give an image, people tries to extract a lot of features from the image. For example, in this case, the features can be the RGB values of each of the pixels. Then all these pixel values goes into an algorithm. Let's say this is a black box, algorithm can be a simple linear combination of anything, which this algorithm has learned basically by seeing through all the past images, what kind of pixels contribute to the car image. Then it returns whether this is a car or not a car. So simple input, input is then converted into a lot of features. Features is gone into an algorithm, and then this algorithm gives you an answer. So these features can sometimes be very complex. There are lots of features. Sometimes the features are real-time, or sometimes the features are static. For example, take an example of a personalization or a recommendation algorithm. Real-time feature can be what the user has just clicked the last restaurant in the case of Zemato. There are a lot of personalization algorithms where we show recommendations to a user which kind of restaurant they should see. So here the real-time features, what the last restaurant you have seen. Maybe you have just clicked on the Haldiram, you are looking for a more chart kind of place. Maybe the next recommendation to should be Bikanerwala, these kind of real-time features. Then there are some static features. Static features are basically the restaurant attributes as you can see in this case. The restaurant attributes can be what kind of cuisine it serves, what kind of dishes it serves. These are all the static features. Then the models, the algorithm which I've shown you as a black boss, the algorithms can be very complex and simple. Some very known algorithms are regression-based, pre-based like exebused, all these algorithms. Cool. So now I'll talk about some of the machine learning problems we are trying to solve at Zemato. There are very simple problems, some are very complex. Some of the problems are basically predicting kitchen preparation time. So as some of you know, I don't know maybe, but at Zemato we are an order aggregation platform, we receive orders from users, and then ask the merchant or the restaurant to prepare for it, and then allocates a driver to take from the restaurant to the user. So in this whole journey, the very complex problem is to predict how much time a restaurant is going to take. Basically given all the dishes, we want to predict the time the restaurant is going to take to prepare the order so that we can allocate or dispatch the rider only at that point of time. If the dishes are going to take 50 minutes, then there is no point just assigning the rider as soon as we receive the order because the rider is going to wait 50 minutes there. The second problem is again the predicting rider assignment time. In the peak time when there are a lot of orders coming in from the users, there are a lot of riders around the place, we want to predict how much time will it take for us to allocate a rider to an order. Third is obviously I told you earlier, personalizations and recommendations, what kind of restaurants we should show to the user when he opens an app. Then obviously there's fraud detection, there are lots of frauds going in by the user, by the merchant, by the rider. Then photos classification. On Zomato platform, a lot of user uploads a photo. We run different algorithms to classify whether this photo is a food, a menu, or just an ambience. And yes, rider allocation. So over the last six months, a lot of these algorithms, we have hired a big data scientist team, they have started working on these kind of problems. But from an operational point of view, we are facing a lot of problems. First of all, every model which a data scientist create, we, it is dependent on an engineers to deploy them in the production for real-time inference. Then again, the data scientists are creating models, models, models, but there are no standard workflows for them so that they can be easily deployed in production. No ability with the data scientist, basically with each model, you need to create some features, right? Some real-time features, some static features. But the data scientist team basically, they does all the offline analysis using OLAP transactions, they think what is right for them, then they constructed the model. But when you take that model into production, you need a lot of algorithms or you need a lot of cron jobs to compute these features. At that point of time, six months earlier, there was no standard workflow. There was some one of models, basically data scientists come to us, I need to deploy this. And then there is an engineer which writes some cron jobs to compute these features. Some engineers store it in Redis, some engineers store it in MySQL, there was no standard database where we can put all the features. And yes, it was kind of an add up thing going on. Then we as a team sit together one day and think of a platform, the ideal platform which we should construct so that all the data scientists and engineers can follow that platform to construct all the features and deploy the models. So these are the simple requirements which we wrote down. So first and the foremost requirement, it should be easily used by all the data scientists in the company. And I tell you, the data scientists are not that software engineers, they know a bit of coding, but some don't have the ability to write a production ready code. Then second is the platform, basically some real time features at scale. We need a platform where all the data scientists or the engineers can create real time features. Third is the auditing, it's like a GitHub for your models. Everybody has used some more functionalities for the GitHub. So we need same functionalities for the model, auditing and the versioning of their models. Then yes, the last goal or the last goal is very important for us that all the real time productions should take less than 50 MS, not more than that. So I'll go through this platform by using you a case study. The case study is the kitchen preparation time production. So I'll tell you how we created how we deployed this whole architecture to predict the kitchen preparation time. So kitchen preparation time, I've already told you that what is the kitchen preparation time? So we have an in-house Xebus based model which actually takes in all the features of a restaurant and predicts the kitchen preparation time for that order. It includes some static features as well as real time features. Static features are those features which can be computed at some frequency which is usually a day or a week. In case of kitchen preparation time, the static features can be what is the historical kitchen preparation time for that restaurant during that meal time. And then there are a lot of real time features, simple real time feature can be how many orders are currently being served by that restaurant. So it's basically, you can say last 30 minutes running orders in that restaurant. Yeah, so this is the proposed architecture. So this architecture is a bit overwhelming, but yes, I'll go it by the step by step. So first thing is basically we need a place where data scientists can create and store their models. Basically I'll go from the top, the model manager, where you can just create your models and store them. Then the second thing is the model inference platform where basically you can deploy your models. So it's kind of a beanstalk based service or any service where I can just take the model and deploy it on a pods. I can also use, deploy them on Kubernetes. Then these two components, and then I'll go from the left bottom. Then there is a real time feature computation. Basically my backend seems to send a lot of events like this order is created, this order is delivered, this order is done. Now I need a aggregation platform or a streaming platform where I can basically aggregate all these events by a restaurant and store it somewhere. So this is the real time feature computation. And then when I store it, I need a feature store where I can store all these features. So these are for real time features. Basically let's say a simple backend starts pushing me that this order has been created for this restaurant at this point of time. A simple feature computation job can be give me all the orders grouped by that restaurant in the last 30 minutes. And this job can run every minute or every 30 seconds. And it just pushes that this is the restaurant ID and this is the number of orders. And then all these features can be stored in somewhere which is a feature store. Feature store will be having two main nice properties. One is for the real time features. Basically all the real time features can be stored there. And another is the static features where basically data scientist can write their cron jobs and publish the static features to it. And now when I want to know what is the kitchen preparation time, my application will ask some gateway or a feature enricher. What it does, it queries the feature store to get all the features. And then after enriching my request, it sends it to a model inference platform. The model inference problem does nothing but takes all the features, pass it through a model and give me the output. So this is the proposed architecture. In the subsequent slides, I'll talk in detail about each piece, what system we are using in Zomato. So first of all, first thing is the real time feature computation. So we evaluated a lot of streaming jobs, streaming platforms for this. Yeah, so here, so we finally chose Apache Fling. But yes, we evaluated a lot of streaming platforms which takes in a stream of events and gives me the aggregation over those stream of events. So we evaluated spark streaming, Kafka streams, and finally Apache Fling. The main reason for choosing Apache Fling is because it is of very, very strong community, ease of setup, and the job level isolation. What do I mean by job level isolation? So in production, we will be running thousands, hundreds of models. And for each model there will be tens or tens of jobs running. So I need the whole job level isolation as in one job fails or one job should not affect other jobs. So if my, let's say kitchen preparation time job fails, my rider assignment time jobs should not be affected. Yeah. So we finally chose Apache Fling for the real time feature computation. Then comes the feature store. Feature store has two components as I've told you earlier. One is the real time feature store and another is the static feature store. So for real time feature store, we need a data store which can be easily scaled for high ride throughput as well as high read throughput. It can be eventually consistent as in the data can be reflected after 10 seconds, five seconds need not to be strongly consistent. So for kitchen preparation time use case only, there are 10 features which will be output every minute by the Apache Fling for nearly 100 K plus restaurants, meaning rides are around one million per minute. This is only for one model. And yes, believe me in production we will be, we are running around tens of these kind of models. For reads, there can be up to 100 K simultaneous users building card, which takes my reads as 100 K request per minute. Then this is only for one job. So finally we evaluated certain data stores for that and finally we choose a Redis, basically elastic cache backed by cluster Redis powered by AWS. Why we use Redis? First of all, it's supposed high ride throughput by adding shards to it as well as supports high read throughput by adding replicas to those shards. Also, we chose the managed one because it provides automatic failovers and thus is highly available. And it's a very low read and write latency. Plus also it provides a TTL to us, basically time to live because all these features will nearly have TTL of five minutes or two minutes. So we can easily set their TTLs. Yeah, so fling to feature stores, we just set up a Kafka connection and the flank is pushing features to the Kafka and at the feature store level, there is a consumer who just read these features and set them to the Redis. Yeah, so this is just a Grafana dashboard showing our real time consumer throughput. The second component is static features. There are a lot of static features like the historical time I talked to you about. So for KPD, like we need the historical KPD for that restaurant and a time slot. Here we need a store with key value access, just a basic key value access, not a relational database, which can support eventually consistent because if I update these features right now, I'll mostly probably be updating these features for tomorrow. So yeah, they can be easily eventually consistent. I don't need strong consistency here and definitely high read throughput. Right throughput can be high also but it can be distributed over point of time. It just need not to be at just point of time, I need to write so many records. So for that, we need evaluated Redis, Cassandra, Dynamo as well. So Redis we didn't choose because it keeps all the data in memory, so it proved to be expensive for this task. And then two things we are left with Cassandra and Dynamo. I think both we can use here but at that point of time, we chose Cassandra because the team has used Cassandra before and not Dynamo, that's why we finally chose Cassandra. So yeah, so the third component here is model management. So where we store models? Where can the data scientists create their models? So MLflow, I don't know how many of you have learned about MLflow before but yeah, MLflow is like Kubeflow. Basically it is a model management platform where you can just show data scientists can come, they can create models and they can store it over there. So we evaluated both MLflow and Kubeflow but finally chose MLflow because it was very, very easy to set up. I myself set it up in like one hour and the Kubeflow we didn't choose because yeah, the team didn't have prior experience on Kubernetes, so yeah, we went through ahead with MLflow. There's a simple dashboard for our KPD model. You can see there are a lot of models, version one, version two and version three and finally version three is in production. Now finally, we need a platform where these models can be deployed for inferences. So we chose AWS SageMaker here, evaluated a lot of stuff here like elastic Beanstalk.  Then ECS is there like EKS. So we can also deploy it on ECS and then SageMaker, AWS SageMaker is there. Again, why SageMaker? Because it was very, very easy to set up. Like one day we were up and running with a model and plus, sorry. It provides direct integration with MLflow. So MLflow, I can just write a command and deploy as the whole model and AWS SageMaker. Yeah, so this is my final KPD model deployment. You can see the invocations and the model latency. There are simple different dashboards for those. Now third component is feature enricher. Now I need a platform which can stitch through everything. Basically when I ask for the KPD, it goes to the features store to get the features and then it goes to the AWS SageMaker to get me the inference. So for that, actually we created an in-house ML gateway. That's a very simple go service which actually takes features from the feature store and enriches it and sends it to the SageMaker. So this is a simple KPD plan for that which can be deployed on our ML gateway. The plan is very simple, just fetch KPD features, get KPD and send it to SageMaker and publish it. So yeah, this is the final architecture which we have deployed. Basically a data scientist, MLflow, they publish their models to MLflow. Then an engineer comes into a picture. They deploy it to SageMaker. Finally an ML gateway which actually, okay. Finally an ML gateway which takes the predict API call, fetches feature from the features store and calls the SageMaker. Then features store powered by Redis and Cassandra and then Apache Flink for streaming features. Yeah, so this is the final architecture which we deployed in production. What is the future work we are thinking to do for this platform? First is the ability to shadow models on real traffic before taking live. So here we kind of need an AB platform plus as well as let's say by KPD model V1 is live and our data scientist comes up with a V2 model. I need an ability to put the real time traffic through V2 model before taking into production. It's like a shadowing traffic. So that is the ability we are thinking to make in the ML gateway only. Second is the archiving real time features to S3 for model retraining. So basically all these features which are getting published to Redis, they get archived somewhere maybe to S3 for model retraining. Third is I need to retrain my models at some frequency maybe a month, maybe a week. And then tracking my model performance online. Yeah, so that's the whole platform. Any questions? So we could also choose DynamoDB for Redis but at that point of time, our team was mostly working on ElastiCache very efficiently. That's why we chose finally ElastiCache.


There is an overwhelming amount of things we need to keep track of to maintain our health in this modern world, whether it's as direct as pollutants in the water supply or as mischievous as the plethora of disinformation available to us, whether that's online, in a book, your local snake oil salesman, many people focus on perfecting one aspect of their health, typically diet, and ignore the other ones. What we're going to focus on today, including diet, water quality, e.m. exposure, sunlight, exercise, air quality, and sleep. Because even if you have a 100% perfect diet, yes, that certainly helps. If the other aspects are not correct, it can be difficult to become optimally healthy and on a more important scale. If you are having any health issues to ultimately recover and feel better. One significant thing to note is that many of my videos come from the perspective of being near liver failure and having severe digestive issues. When I go over this stuff, this is like, if you're on your death bed, if you have cancer, if you're literally dying, this is what you would do hypothetically. There's a big discrepancy between myself and the average person who is skating by eating McDonald's every day. Yeah, they're probably not physically healthy, feeling good, and their brain's not functioning, but at least they're not suffering severely from a health perspective because of some factors we'll talk about. Now, I've never actually looked up the definition of diminishing returns. My understanding of it is from playing World of Warcraft as a kid. That's a whole different story. It means, loosely, the more you put into something, you don't necessarily get an equivalent amount back. Like if you're thirsty and you want to hydrate and drink some water, once you drink a certain amount of water, you're hydrated. If you keep drinking water, you're not necessarily going to get more hydrated. The theme today is if you necessarily put 100% into diet, it's not going to make up for drinking crappy water. That's not how it works. You want to get to a certain percentage with all of them to ultimately feel good. That being said, some of them are more important than others. Being 100% perfect on your diet and 0% on sunlight is better than 50% on diet and 50% on sunlight. But overall, the point is you want to be as aware and as close as realistically possible to being optimal with each of these components. You guys can see them listed here. Diet, water, DMF, air, sun, exercise. Didn't have room for sleep on here. I did want to apologize for the glare from my window. I got to look up. Maybe there's some type of board that doesn't reflect, but it's very difficult to get natural light in a room and not have it reflect on a white board. I look a little better, but it's a little harder to read. Most of you know what diet I currently follow. It's a very restrictive liver detox, but from the standard American diet perspective, most people want to switch to high-quality foods, organic, grass-fed, high-quality, not like corn and soy-free eggs, high-quality local dairy. We have that out of Frankie's Range. Meet that type of stuff. Eat a balanced diet of meats, grains, some fruits and vegetables here and there. You guys can check out my food pyramid video for the more restrictive version of a healthy diet, but what I said right now is a very good first step for most people because they're able to keep the foods they enjoy in their life. It's just they have to invest a little more time or money in buying higher-quality stuff and preparing it themselves. Getting to 100% on diet would be easy if it was just about following food choices, but drinking properly made probiotics, taking the right vitamin and mineral supplements, and a few other things can really hold people back. You know, if it was easy to just eat healthy from a conventional perspective, most people would have done it already. Second, we have water and I haven't done any videos dedicated to water in a while now, maybe even a year or two, besides talking trash about, you guys remember the New York City mayor sucking down a Florida tap water telling people to stay hydrated and how good New York shitty, fruity and slick huh, New York shitty water, how good it is for you. Although I do mention water a lot in most of my videos, you want to be drinking water that is free from pollutants, obviously fluoride, chlorine, there's antibiotic and birth control residues, molecules and chemicals from plastics and manufacturing.  The most significant thing I overlook in regards to water is the food sources that contain water. If the organic bread you're buying is made with fluoridated water, New York City tap water, you're throwing away a lot of your efforts, you know, it's kind of silly.  So it's better to make things yourself if you can't confirm the water source. You know, one thing you guys probably saw me doing for a while was buying, like, organic bread from the supermarket when the rest of my diet was completely homemade from scratch, rinsing my freaking plates in water. So just be mindful of that. You know, if you're all the way there, you might as well put in a little more effort. So next up we have EMF, which stands for electric and magnetic fields. However, the most significant form of EMF that we should be concerned about is radio frequency radiation, which is from Wi-Fi, cell towers, most modern devices people are using, whether it's Amazon Alexa or Netflix. And, you know, back in the 70s, 80s, 90s, before cell phones, the low radiation was why a lot of people were so much healthier. You know, we were still being poised in other ways, but since then, especially with AirPods and all this new technology and smart stuff, it has increased a lot. And radiation impairs all organs, digestion, sleep, energy. So if you're not sure why you're unhealthy, go camping in the woods for a day or two without technology. And then when you feel like a new person, you could say, okay, maybe it wasn't some like conspiracy tinfoil stuff when Frank talks about radiation. So what I do is I wear protective clothing throughout the day. I have, you know, my Wi-Fi shielding dot com attire underneath my freshly pressed dress shirt and slacks. And then you want to sleep in a canopy. So we have bed canopies on Wi-Fi shielding dot com too. I think they're out of stock right now. I also did a video on how to build a Faraday cage. But by doing those two minimally invasive things, you know, it's no real effort to wear an undershirt. It's no real effort to sleep in a canopy. Maybe a little money investment. You'll feel better. You know, you could be in the middle of New York City in an apartment and you might have to pay for more stuff, but you can still get a pretty high percentage of the way they're just by doing that. You don't have to be in the boondocks sleeping in the woods. Ground at least once per day. So this is kind of separate from the electric and magnetic fuel stuff. But being in physical contact with the earth, we also have grounding rods and wires on Wi-Fi shielding. If you guys are not familiar with that, you plug a metal rod into your ground, the ground outside, just like the electricity in your house is grounded. You ever touch a light switch and you get shocked? That's because the light switch is attached to the earth via a ground and your body is discharging that positive electricity into the light switch. That's why you need to ground every day. That's very, very significant. And if you are in the low EMF area, definitely just check out my grounding videos to go more in depth on that because I don't want to get too into that today. I don't want to go too in depth on everything. We have videos for every single thing I'm talking about here, even for things like air quality. Although over the past few years, I've been focusing on it from a simpler perspective of opening your windows up. However, with the recent nonsense in New York being poisoned by the Goon Squad, there are definitely more precautions that need to be taken such as air filtration in the home, wearing masks in polluted areas, driving in heavy traffic in cities you want to wear a mask to. The average CO2 level in most areas, even outside, seems to be way too high because of what they are doing to our atmosphere. So I'm exploring some options right now where I moved the air quality isn't as bad significantly, but there are still some pretty hard days. I have air filters running inside. I've looked into oxygen tanks and medical grade stuff. Maybe you guys know more about that.  So they also keep hypothetical solutions to what they're doing very hard to access. Not everyone's going to be able to buy a $500 oxygen tank and have some relief when this type of stuff happens. So again, if you guys know more about that stuff, besides like buying small cans of oxygen that are very expensive or beyond air filtration, I think because oxygen tanks aren't really that expensive. I think just getting access to them and finding a reasonable solution is something I can explore in the future because not everyone can just hop out of the city and relocate. Sunlight. Our bodies need vitamin D for a variety of hormones as well as keeping fat soluble vitamin ratios in balance for overall health and development. The natural process of recycling the skin during tanning is critical in vitamin balance because it uses up a lot of the nutrient stores that our bodies keep for this purpose of skin recycling specifically. And sun isn't as important as the previous three because you can literally be poisoning yourself with these first few. However, getting the sun might be your final step in feeling better. The diet, the water, the radiation, the air quality, you could literally be coughing your lungs out and feel like you're dying. Most people go a lot of their lives without getting any sun whatsoever and they're seemingly not falling apart. Again, it's very, very important. You definitely want to get as much sun as possible but it's not as severely damaging to your health if you don't. Moving on to exercise. Depending on your job and physical goals, exercise might not be necessary and the type of exercise is subjective. If you work a physical labor job, construction, even a waiter or bartender where you're on your feet moving a lot all day, you're getting plenty of physical activity. If you work a desk job, however, then you probably need to consider an exercise routine seriously. Outside of that, it's helpful to build up a base of muscle mass with a hypertrophy program. So even when you stop working out, you'll maintain most of it. One to two years of hard work in the gym will stick with you for the rest of your life. I think I've spoken about this before when I did the exercise stuff. If you're doing construction and you've never really worked out in the gym in your life, you're building up a lot of tendon strength, ligament strength, and bones and you do that still after weightlifting. It's just if you don't build up the muscle in the gym and stimulate it and get that mind muscle connection going. If you do that, you'll go from stressing your other tissues in your body besides your muscles a lot less. I'm mixing mincing words here. However, you'll be able to stimulate the muscles a lot easier when you're doing your physical labor job if you have the base of muscle.  So there is a degree of training that you want to do. You don't have to exactly be a bodybuilder, but you want to have an even amount of muscle development. We have that maximum volume hypertrophy routine on frank-to-found.com if you guys want to check it out. Sleep, as I said earlier, I didn't have room out here for this. Obviously the most important feeling good, you know, everyone knows how they feel if they don't sleep. The other lifestyle factor is determine your sleep. So if your diet is good, if you're sleeping in the EMF canopy parody cage, low radiation environment, if the air quality is pure enough, you know, if you're active a few hours a day to keep your gut motility moving and make sure the food's digestive before you go to bed, you should sleep like a baby. The modern solutions to sleep issues are not addressing the root cause. Although there are specifics in each of these categories that can be done for sleep that I didn't mention, you know, maybe in the diet you need some mastic gum and charcoal before bed, maybe for the radiation you need to test the levels. If you can't breathe, you're not obviously going to be able to sleep if the air quality is bad enough. Getting a lot of sun can help you sleep. And we said actresses too can help you sleep. But if you guys watch other videos on my channel, you can get more of an idea of each of these things in depth and understand what you specifically need to do. So I guess that's everything for today. Thank you guys for joining me. If you may please go to frank-to-found.com and support me through all of my businesses. Guys, we did a lot of restocks on Frankie's Syringe Meat. We have a clearance sale on organ supplements. We're basically blowing everything out and we should have some organ powders back in a few months. I'm not sure when those are coming. Frankie's Naturals, maybe some new stuff soon. Wifi shielding, bed canopy should be back and stop soon. Frankie Syringe Foods, Frankie Syringe Meat. I mean if there's any time, any specific point in time that I'm going to ask you guys to support me, it's going to be over these next few months to a year as you know I moved into this new place that I'm situated and then you know when things get going a little more then I won't have to worry as much about pushing sales every week. You know I think we have the duck eggs coming back on Friday on the meat and then I'm also going to do a chicken sale this weekend. So guys keep an eye on our emails for that if you're not subscribed to the newsletter on Frankie's Syringe Meat or frank-com.com. Guys please drop a like on the video, leave that comment down below, make fun of my outfit, do something, make sure to subscribe and check that notification bell and I guess I'll see you guys soon.


Everybody for us here up in 2023 inception baseball hobby 16 box full case over 25 random teams are randoming right now, and then we'll get started. Let's do it. I Guess so Carl. I'm guessing it's like a death signing Because it should be like Rafa yellow.  It's like a survival game. Oh, yeah guardians down to Rocky's gnats. I think it's a survival game Raymond with the guardians Ryan s Yankees John K Dodgers George s red Sox Vinnie Mariners Eugene J's Evan G tigers Sean M. Ray's Giants Cody W Angels Stephen L with the Pirates Andrew M Brewers Alvin M Marlins Brett H Cardinals Sean B red Jacob P Astros James F Royals Keith J A's Doug R twins Michael W Rangers Joshua T Cubs Matthew W. Padres Doug R Orioles Howie W Phillies Nicholas B Diamondbacks Joseph C Braves Andrew M Mets Andy C White Sox Derek J Rocky's gnats He's saying he might he's undecided really he's saying he like oh I went to Ohio State to beat Michigan But they can't beat Michigan.  No one cares Only only the Michigan fans in the Ohio State fans care. Go be great like your dad. He'd be better than his dad, dude He's taller and faster. All right. Here we go. Good luck everybody number 25 Yeah, the Royals are pretty solid actually Bobby Whit is I wouldn't say common but for a vet He's he's got some hits in this of any Pasquantino is solid rookie They got a few rookies too. So Pasquantino and Whits you're looking for. All right. Here we go. It also make the get-together I'm going to tomorrow night easier. It's like a Pollock type thing. I'm just gonna show up a Papa John to the magic win Like oh, what did you guys bring? Chacarone baby Chacarone and Dingo and Oreo bites as well. I don't know what they have Oreo bites or something They got something there or the the the brookie thing the brookie pizza. Yeah, something like that. That would be a be ideal You're the Papa Dingo for everybody. Mm-hmm. Mm-hmm Hey, happy holidays. Got you Papa John's Like thanks 12 to go guys. I'm gonna tweet that out real quick Inception Museum and definitive mixer all teams in on that What box of definitive for museum for inception pretty good man a lot of hits in that to be had Yeah, it's upload now. You could also probably rewind the stream as well Colton But it'll probably take a few minutes to actually get fully uploaded Let me see if it's done yet No, here it is right here. Our upload speeds are amazing Don't let spectrum know that though. It's not they're gonna start slacking. Can't have that can't have that Well, what do you expect from the bills a green rookie whimer for the Brewers? 75 story for the Red Sox on the red Sheetah and first auto goes to the Marlins Brian De La Cruz at 99 you got a Colton. Yeah, so they have like hat logos That team logo stuff on the booklets They have certain logos in here. They're like new arrow logo patch autos They pulled it you guys pull the swoosh last night, right? Or was that same today? Someone pulled a swoosh recently out of this Pulled the cap Oh, yeah, yeah Marlin kid that can stick Spanish Yuri Perez, yeah green rookie Pasquantino Royals you need your kind of Orioles and Auto for the twins Jorge Polanco to 299 Way too much make-up and too bright of a light Green Alcantra green judge, I'd be having some words with somebody.  I don't think there's any true logo man patches. There might be in the first milestones I saw like a rendering with one, but it's just like the hat relics Like a hat logo man Got green trade turner Phillies green Hunter Brown rookie you for the Astros Two autos. Yeah, first one is Palacios Tigers rookie out of the 75 The one after that is rookie Cubs auto Nelson Velasquez the 299 Bonus hit. We like that. We'll take that get your spots for the night. Everybody. Let's go. Let's go. Let's go Deception definitive museum is at 11 to go The second mixture of the night is sold out the definitive tribute tier one that one's sold out now We have a tiered case of museum collection coming up as well. That's that eight to go about halfway One-in-one basketball tiered as well guys Think all of us have been pulling heat out of that recently We hit some monsters on release day Kyle pulled some Pull the Steph Curry Thomas moment auto last night What was the downtown y'all did trade? No, that was with you wouldn't it? No, that was the trade and it was a tree right young downtown Cozy Thomas was crazy Yeah, what's that? That was he's like 95 has to be he's yeah, because if you was a to the signature looks good Green Harper Phillies rookie to 99 Spencer steer Reds 95 I saw that child. That's insane. Oh, you ought to want 25 Zach Thompson for the Cardinals Another hit Royals silver ink Bobby Whitt jr. To 99 Heck yeah, I told you Royals got him There we go James happy for you, sir That's pretty sick. We'll get that Bobby Whitt magged silver ink is clean 94 of 99.  Oh wow gunner Henderson jumbo patch rookie auto 50 of 50 We go Orioles Congrats on the gunner jumbo Baltimore now with a sweet one that's for Doug not sure if that's an Orioles patch, but Says that it's a Player worn Go rookie jumbo patch auto Orioles gunner. Yeah, it just goes to show you that even sometimes the NBA makes mistakes But it's still by far the most competent like sports league out there like making good decisions Green rookie Ruiz a's green seager Rangers Ram Ashcraft great patch auto here rookie to 75 for the Reds I didn't realize the I didn't see the sport Lost by that much We got rocked He'd scripted you think Lakers win the first since he's here. I guess a little wrong. Yep. I Know Sean thinks it's You know my 44 with a script Green soda Padres a Rosarita and rays and patch auto rookie Jordan Groeschans for color for the Marlins the 99 Not that I know of Jeff Not that I know of Maybe it's a relic of the wrong card or something. All right green haze for the Pirates to 99 out to ve Astros Volpe I've been cool to see the Pacers win it one Jones and Nolan Jones Guardians rookie inception auto patch to 149 All I've asked this before but how are you a Jets fan and a Pacers fan? What's going on there What's going on there? Yeah, what's happening?  We need to see something crazy Well, you and Kyle pull it all the books That's how tea spoke last night was crazy. That was fire with the fryer on it. Yeah, the whole thing too Yeah, that big one. Oh, I want to hit something like that out of this Lee rookie green Moreno for the d-backs out of 25 is Goldie for the Cardinals Silver signings white Sox Elohim and as the 99 very nice here for the white Sox Do the Yoda sketch the bokeh tan auto the boba auto All the relics are super sick the one-of-one armor relic that was that was super super cool Green Ohtani angels to 150 Chris Bryant Rockies purple color match and rookie auto Royals to 25 Max Castillo Green rookie Pasquantino for Kansas City green yinny our canal rookie Orioles Senga Harris and Paraza rookie three color inception auto passion 99 Yankees Nice hit on the back pretty pretty good case overall Nice mixture spots coming in here Paraza Yankees Yeah, it is Mitchell. Yeah, it is Are we at autos of Max Castillo Elohim in as on the silver signings? Mark Appel Buddy Kennedy appell to 10 Zach Thompson Jermaine Palacios Palacios Velazquez Riley Polanco Brian de la Cruz Paraza on the patch auto Nolan Jones as a guardian Jordan Groshans as a Marlin and Ashcraft as a red Rookie jumbo patch autograph is Gunner Henderson out of 50 for Baltimore. I'm not sure about that white and blue patch Might just be the wrong patch. Maybe there's something else that we're not thinking of here Maybe like a non Orioles or Zeddy Ward Jayrod the 75 auto Seattle and silver signings of Bobby Whitt Jr. for Kansas City Good case moving on to number 26


This just in that emo shy guy says someone stole the cookies. I don't know what cookies we're talking about I didn't even know there were cookies here, but this is an emergency. We have a we have a stage five emergency here cookies are missing a Be on the cook out be be on be on the lookout for cookies and listen if I stole them from the cookie jar That is that is not relevant information to this case today though. I Saw there was a plate up update plate up plate update. Yes There was a plate update and I want to try and play with you all. I thought we could have just a relaxing Calm Monday a name that's less taken. They said they want to raise if you're my my sous chefs. That's fine Hey, have a raise I raise you up So you can help me make food You raise me up. Oh my gaming can't hang on Hey, it's back. There we go. Haha. Did you like my magic trick? It was hidden in my sleeve We're been that excited about steak. We're called Ruby Tuesday steakhouse. Yeah, we stream on Mondays though Don't get confused. I don't dread the bread. I'm ready might be a certain British slow-mo YouTuber watching to who would he would just love to see this bread fall in the sink Finally cabinet come with me come with me to the to the back room and you stay right there. Yeah, we'll totally visit you Uh-huh. We're gonna come in this room all the time. Mm-hmm Let's go ahead and get the day started. We'll see how this goes. Okay. Hi filing cabinet. Good morning. Nice to see you Oh my goodness, I'm Should have read the tutorial. How do I break it? That makes sense. Okay. Does that mean a pie? I know this is not this customer's order, but Here's me face. I'm making sure I don't accidentally punch a pie again. Why behind You're upset. I love the pie feel the pies feelings aren't hurt it can hang out with the filing cabinet and they can cry together That's right. The dough did not rise. Okay. Well, that makes sense. How do we get the dough to rise then here chat? I'm trusting you here because this is this is amazing. I want to I want to learn from you, too I love this sue the sue chat here. This other customer and hi. Hi. I'm learning how to make bread. It's a very complicated recipe You wouldn't get it Yes, okay. We did now. I'd do a chop chop the bread. Yes. Okay. Um, wait, no bag Do I toast it just what toast? No, what come on? We got the chop, but I can't plate. I can't play. Can I play the two toast listen? Bread is fascinating. I did not know there's so many complications between with bread Made you some oatmeal. I think are some stuffing. Oh my goodness. Oh, hey, you want two pieces of bread, too The most challenging recipe in this whole game You won't defeat me I won't let this bread keep me down Now you wait outside And this I did not know that bread was gonna be my mortal enemy during this stream, but it's becoming that way Okay, you're going straight to the sink and I can chop it and washed bread together. Good job Everyone our restaurant was forced to close everyone I don't think it was sanitary for us to be to be bathing our bread. We have the cleanest bread in town You don't even know bread is scary now bread scares me. I don't like it It's a mysterious being that can turn into so many different things bread is now my mortal I can can people draw me versus bread a lunch salad you say happily for you My best customer, of course No, I don't tell him my customers that Hi, other best customers welcome in Kind of I personally apologize, maybe they'd be okay


I would like to see a world in which we had real innovation, real competition for schooling. I'd like to see the entire school system privatized where this was a market that entrepreneurs in Silicon Valley would go into to try to compete to make money off of poor kids' education. There's amazing opportunities here and we're destroying those opportunities. You know, you can't even get school choice, voucher systems, minimal little things, which I think are way too minor to really make an impact. You can't even get that passed because the politics are such that these interest rates are entrenched and you cannot make the case that this is for the students. None of this is for the students. Here's a statistic. In the inner city of Chicago, it costs the city of Chicago, school district by the way, which is technically bankrupt, officially bankrupt.


Hi, I'm Megan. Hi, I'm Izzy. And today we're going to be going around asking people what their favourite Christmas crappie jokes are. Yeah, we are. What is your favourite Christmas crappie joke? Christmas crappie joke? Oh, okay, can we do that again? What is your favourite Christmas crappie joke? Oh no, my favourite Christmas joke. Look at this. This is phenomenal. Fantastic. What's my favourite Christmas joke? I don't know. It's like a complete surprise. I genuinely can't think of one. Can we do it? You can do it. Take a minute. Tell a Christmas crappie joke that you read it. What is your favourite Christmas crappie joke? What is your favourite Christmas crappie joke? Who never eats a Christmas? Who? Turkey is now a sur —


Welcome to the biggest race of the world, the Indy 500, expecting 250,000-300,000 spectators. It's going to be a huge event, 200 laps of 2.5 miles. It's still very new on Oval's, but we did the Indy Open Test and I felt pretty good. The car is getting where I want it to be. If you think it's easy, you're getting wrong. Absolutely wrong. Oval is actually very complicated and even though on TV it looks like it's easy and it's straightforward, when you drive the car it's a full different story. But let me take you through the lap. Let's go and see what it does. Alright, on to the pit lane. So the first thing you need to know about Indy is that the pit lane is 60 miles an hour, almost 90 kilometers per hour. It is much faster pit lane than anywhere else. I don't see any red lights, so let's go. In qualifying you can go straight on the track here, but then during the race obviously you take the pit exit line. It is tricky because the car wants to turn on the turn on the left, so you actually fight the rear quite a bit. Out of turn two, look at that third gear. 300 kilometers an hour first gear, fourth fix. I missed the turning point, the rear bar. I'm going to go to see if I'm on the rear bar. I'm going to push away Jack here a little bit to the left. So the four corners that Indy, the four corners that Indy Favolet are exactly the same, but they all look different. So turn two right here, when you're beginning, you know, when you're learning about it, the first one you're going to flat out, then it's going to be turn four, then it's going to be turn three, and then it's going to be turn one. Even though they have the same radius, they have the same banking, they have the same width, they all feel, oh that's a lot from wash out, that's not good. Maybe a soft turn from the bar, yeah that's better. They all feel different. So that main straight here, super impressive, 360 kilometers an hour, 240 miles, and then you're going to turn one, and you really have to pick up your turning point too much on the steering setup. Turn two, don't do that in real life, that would be a very bad afternoon. Shift your foot, put on, downshift, fifth, it's few techniques to know when it's time to downshift, but there's also your feel in the car, right? You feel if the engine is shopping in FN, where you're in the corner, if you're going to put more load or not on it, and what's going to be the best way to do it. When you're on your own it's fairly straightforward I would say, but when you're behind other cars then it gets very, very challenging, because you know, you go in the corner at 300, 240 miles an hour, whatever that is, kilometers an hour, and really close two, ten, three times behind the car in front of you, and if you start washing out, meaning you've got the front end going, because you lose the front, the air on the front wing, it is a very bad feeling. So there's all enough technique of photo-lift off in entry before the corner to make sure that you're on the right distance before the corner, and then you can go flat through the corner and get the good momentum out of the corner. The key is always having the right momentum. If you don't have that, it's very complicated to start losing position in the race, to let the guy behind you know that you're going to pit on the next lap. What you do, you come quite hard on the inside, you weave in and out quite hard to let him know that you're going to pit on the next lap, because obviously going into those corners, especially turn four, you need to prefer your pit entry right, you cannot completely exit full on the right, no you're never going to make it far too fast into the pit. So yes, there are a lot of small tricks in Indy that you need to know. There is that feeling into the traffic, knowing how your car is going to react, where you can position it, how you can position it, how you can play with your roll bars on the weight jacker. The weight jacker puts more or less some weight on the outside front right tire, more weight on the outside front right tire, more understeer, less weight, less understeer right. So it's about playing with that, playing with your bars, finding where you can put your car and make sure that you stay away from the wall, make sure that you keep the momentum going out of the corner because if you lose it, then you know you're going to lose three, four, five, six position in one straight and it is very very difficult to recover from there. I hope that gives you a good inside of the ovals. I know from Europe we look at it and sometimes we think as I say it's easy and it's boring. It is absolutely not. It's amazing. It's really fun. It's a lot of thing but it's not boring.


It's D.K. on back to another video. Huge thanks to everybody for tuning in to our squad. Subscribe, give me a thumbs up, and do not skip those ads. It is the last 23rd. It is time for us to get to this mad. Guess what, baby? Today we are going to do our first day on Amazon. Flex, flex, flex, flex. We're here right now, baby. I don't know what I'm supposed to do. I know I got to go in that door around there. I see everybody going over there. I read to this church. They say, I got to go in there and scan my license and get this box and they're bringing out here and all that stuff. But I cannot record inside. And guess what up, baby? I forgot the harness. So I'm gonna try to guess the harness so y'all can see us getting busy with Amazon. Flex, flex. So I don't know what's gonna happen, but I hope you guys enjoyed this video. Make sure you subscribe and give me a thumbs up and do not skip those ads. But go on here right now and get to this bag. Let's go. Let's go. Let's go. Baby, guess what happened, baby? So let's see if we're doing nothing. I'm gonna tell you what happened. I walk in my job. I see everybody coming in the door. I let them know I don't know what I'm doing. This is my first day. I don't know what's going on, I don't know what to do. So he's like, yeah, get in here, get in here, get in here. I'm like, what are you doing? I don't know what you're doing. Like, so get in here, get in. Standing against his wall. I'm like, okay. So standing against the wall and then he said that there was lightning detected. So we get paid for doing nothing. It's called overbook. So I'm still asked, of course, I'm like, I don't know what's going on cause I don't know. This is my first time ever going in here.  So I just went in there. They had to, I had to go in there and scan my ID. It wasn't working for a while. I scanned my ID. You don't have to take it to this other person. Then they had to do something with the phone. And then I just got paid $85.50 for doing nothing. They had to give my name and my email address, gave them that. And then they said, I said, so as I'm free to go, they say, yeah, you're free to go. We just got paid for doing nothing, baby. So it's called overbook. So if it's ever like any bad weather or something like that, or if you go there and this is not an order there for you, that means you get paid for doing nothing, baby. We just got paid for doing nothing, baby. So at this point, we are still gonna do an Amazon flex, flex, flex. We gonna figure out one day, baby, but it's the lighting detector. So we're not doing it, baby. I don't know what else is gonna happen in this video, but you guys wanna make sure you stay tuned to the full thing. Cause we might be out here going to get this green. Let's go. So we decided that we're gonna stay out here and do some door dash and have a blast. But first we're gonna target and go get us a harness, baby. Because I left the harness in the other car, man.  I was super salty. I tweaked. I tweaked it like that hardest in the car.  Why are we doing an Amazon flex? Well, we got paid for free, baby. So now we're about to go to Target, get to the harness and we got to get busy. I hope you guys are with me about the MOOC on the ZIFTY. Let's go. Order number one. We just made 8550 for fun. Chick-fil-A, baby. Eight out of three, four, six miles for $7. We hollered. We poppin' our car. Look what we had, baby. We had Target, baby. This Target looks so exclusive. It's so different from what we had, baby.  But let's go in here and get this car. And we about to keep on movin' and gruelin', let's go! We here, baby. That's the one we need. Let's go. Y'all see us with the new harness, baby. Comment below and let me know how it's lookin'. I don't know how it's lookin'. Comment below and let me know. This joint was $40 holla. You know what I'm talkin' about? It's actually better quality than the one we had, though, so that's good. Uh, I don't know where to go. Maybe I'll pick up over here. Give it to me and this thing like... Do you have the other one? Yeah. Yeah, what was that? Uh, Lauren? Lauren? Yes, ma'am. Thank you very much. You guys have a good one. Thank you. Let's go. Just like that, we're here. Joe at this Chick-fil-A, baby. This house is amazing. This joint is nice. This joint is not nice. It's gonna leave it outside. I mean, it's gonna leave it by the door. So, y'all know it's gonna scotch up like it's hot. Hey, don't give me doggie doggie. Get on the phone. Let's go. We're getting this thing, baby. Hopefully we got it together. We got a text message. I don't know where to go. Let's see if I can ask him. Hello, how you doing, sir? I have an order I need to pick up. I'm not sure where I'm supposed to go. Uh, are you at work, too? Oh, this is for DoorDash. Oh, DoorDash. For Douglas. Thank you very much, sir. You have a great one. This order, they got this joint taped off. I don't know. I mean, if it's got wet, I'm all right. I'll be walking on this joint, baby. You gotta check this order in here, baby.  We're trying to do our thing. Got a little chipmunk running right there. This is very, very nice back here. They got that big money. I like it. I used to have... Comment below and let me know what else you'd say. Stand back, end of the photo. Smack the bell. Back. Let's go. Work number three. They hit on gig drivers, but at least we free. Starbucks, $49 for $6. We a hollow. We pop with our color. Let's go. I want to get these bugs. This joint is packed. I don't even know what to call. Excuse me. How you doing? Pull over here and see if they can help me. Tell me where to go. Tell me where to go. They tell me where to go like E-40, shorty. I have a pickup for Jessica. See, I'm not sure where I was supposed to go. Thank you. You guys have a good one. This Starbucks to get these bugs. We had to go to the elevator. Can you guys tell me where the elevator is? All right. Thank you. You guys have a good one. Go to the store right here. Damn, this joint is not ice. Big money. I like it. All the way down there. I'm trying. Let me slow it down before I get it. This joint is nice. I don't even know what this is.  It's just like an apartment show. Legendary. Look at that, John. Look at the floor. Look at the floor. Making money like a mom. Comment below and let me know what you saw.  She's talking, but I can see. You got everything. I got nothing.   Money like a mom. I got a baby when I get this guitar. I got everything. You got nothing.   Money you'll never see. That used to... I lost this joint. Hit up the photo. Don't keep up with the Josephs to go, bro. Joe. 3.9 miles for 1675. We here right now, baby. We about to go ahead and get busy. Let's go. Just like that. We are here to drop off this. Joe. I was gone. Making count on people who care. We got three things in water. I guess we got, baby. I forgot to sing here. That's the good thing we forgot. We got the wagon, baby. We ain't bragging. We got the wagon.  Break the wagon. Break the wagon, baby. Stuff these on in here.  That's a jiu-jitsu or something, baby. I'm gonna ask him to put me a couple of tricks or something. You know what I'm talking about? How's it going, this John, baby? Unless that... Let's go. We got that wagon. We ain't bragging. We got the wagon. We gotta drop off. Gotta go over this bump. Oh, ain't nobody up here. They ain't in there. Come on, man. Oh, let me hit him. Let's hit him. Let me break for assistance. That joint not gonna lie. Hold on. Get it. There we go. There we go. That joint ringing now. They ain't even doing the jiu-jitsu. They's doing the knees. I see them. Y'all see them doing the knees? Can y'all see it? I almost tried to see. Got 10 on that joint. He ain't in that joint. I might just have to leave this right here. Even though I don't want to. I don't want to build anybody. Man, I'm getting busy. Something's in here right here. Dropping like it's hot. Dropping like it's hot. Dropping like it's hot. Step back and with the phone on your noodles. Man, let's go. Order number five. Sometimes sit back and listen. And it'll make you more wise. Starbucks 2.7 miles for $706. We about to get in the mix. Let's go. We are here at Starbucks trying to get these bucks. We don't know about the bucks like Milwaukee. Hey, just get off me. Boy, be saucy, don't you? Hope they got us together so we can get this cheddar. I'm here for Elizabeth. Elizabeth. It's all three of these. Oh, they got three. Thank you. You guys have a good one. Thank you. We are here to draw up this Starbucks to get to these bucks, baby. It's a decent little drive. It's actually went that far like six minutes away. This is a veterinarian. A veterinarian. Hello. Have a look for Elizabeth. Hey, darling. I feel I need a cold and for a pen. Five, five, eight, four. Five, five, eight, four. So you moved away? Thank you very much. You guys have a good one. Order number six. They ain't gonna support you until you get rich.  Hey, that's what they do, baby. That is, you know, they're your cousins. Y'all went to high school together. They knew you since you was a little kid and all that stuff. That's what we happening, baby. Mariano's seven items, 0.7 miles for $12. We are hollering. We popping to our collar. Let's go. Just left out of Mariano's getting busy, baby. So I'm gonna put this stuff right here. I'm gonna put all these waters, this, uh, this essential. That's that alkaline, baby. While we're on the grinds at any time. Put that in there. And then we can put this water on here. Bop, bop. Maybe get that in there. If not, I'm just put up to the side. So I'm gonna put it behind so I can carry it, baby. Let's go. We are here, baby. Guess what? I'm pulling out the wagon yet again. We're about to get these different ends because we don't have the gray bags. They all in the, in the snow white. Trying to get us right. We got some water. So we're gonna put these waters in here. Bop, bop. Guess what, baby? We're at the same apartment complex we went to last time while we were on the grind to the end of time. We ain't gonna stop until we shine. Grab this joint. Bam. I was gonna take the black thing but that black thing was kind of heavy. And I ain't trying to be holding it and all that, baby. So we're gonna take this and make it easy. Make it breezy. Set off the cruise breezy. Baby hating because they cheesy. Oh, dang. Am I gonna be able to get this up here? Oh, it's over there. I'm gonna go around. Hold on. Let me reverse that, y'all. I'm about to go this way because they got the ramp right here. So we're gonna go in this, baby, and get busy. R.I.P. Nipsey. Let's go. I know where to go now, baby. They might as well give me a key. Let me move in. Hello. Let me get y'all a tune. It'd be like that. You know what I'm saying, mom? It'd be like that. Sometimes we'll be on the grind. People be asking Connor, you know how they be acting. Guess what? Guess what? Just ain't no acting, though. Close the trunk. Pop like that. Drop it like it's hot. I'm not going to do it all. I'm getting busy. Drop it like it's hot. Bye-bye. We're sweating the small stuff. Bitties to get these bitties. Two items, 4.2 miles for $22. We here right now, baby. My busy brother ain't getting busy. I want to talk to you guys about seeing them getting busy. So this is the second time I had to go to the apartment complex that I went to. I just came from. And I keep on... Look, I'm gonna tell you guys just straight up like this. They're not too fond of me in there. I say hi to somebody. They ain't even replied.  They kept on walking. They ain't hear me. Hello. Let me talk to you. One of the ladies at the desk seemed cool and the other one not so cool. They keep looking at me crazy.  If you out there doing that and feeling like you're better than somebody else, please stop doing that, baby, because you never know who you may be talking to. I could have been the owner of that building. So when people do stuff like that, you know what it makes me think? It makes me think like this.  But this makes me think like this. I need to get my money up because you know what? I'm going to buy a building like that. And then guess what? Everybody. Hey, if you got a problem, get out. Pack this up. Go. You got to go. I hope you guys are enjoying this video. Make sure you subscribe and make sure you give me a thumbs up and do not sip those ads. I'm busy partying. They're getting busy. If we don't get to this bag, let's go. Orders came right on time. Mariano, 12 items, .4 miles for 15, 28. We are getting this case. Or number nine is Walgreens. One order, 2.1 miles for 8, 25. We're about to pull up and pick up the prize. Let's go. Walgreens to get this green. We got to go to the pickup area over here to there, right? We got to go over here, baby. Hopefully we got somebody over here so we can get this and get on. You know what I'm up? I'm walking on a microphone. I see a bag up there. So maybe it's this. Oh, need some help. We need some help, baby. Come on and get us righteous. We got an intercom right here. We need it at the photo counter. Yeah, we need some customers. We need some customer service, baby. Hello. How you doing? I have a pickup for Kevin Cochran. All right. Thank you. You have a great day. Let's go. We are here to drop off this Walgreens to get this green. You know what I'm talking about? None in between. It is beautiful back here, guys. This is like five houses. It's amazing. Stay back with the photos. Mac. Do it well. Let's go. We got busy. I'm about to pull out the wagon. We ain't bragging. We got the wagon, baby. I'm about to pull out the wagon again. We got some decent amount of stuff. We got the apple juice. They got the whole set up, baby. We got some cups. They probably seem like they're about to have a little party or something. It's going to be a party, y'all. It's going to be a party, y'all. I'm going to put this right here. Lean it back right there like that, y'all. Then I'm going to put the ice. I'm going to put the ice right here. That's a big house. Put this big ice right here first. Bam. That'll top that. Bam. Put this right here. Bam. Put this right here. Right there. Bam. Let's go. We are here, y'all. There's order to get in order, baby. Guess what? I told you we could pull out that wagon. They're not. Let's tell you I ain't bragging. We got that wagon, y'all. Pull out the wax key. Pull out the wax key. We're about to get busy. Got to undo this joint right here. Mama. Put that down. There you go, baby. Uh-oh. It ain't my fault. Okay. I'm going to put the water first. Bam. Water. That I've walked. Oh, that's a quick wham. We're going to put the diet coke because we ain't no joke. Put that right here. Then we're going to put the apple juices. Right here. Bam. We're going to put the ice. Ice. Ice, baby. Ice. Ice. Ice. Ice. Ice. Ice. Ice. Leave in the garage? All right. So, I'm going to put the rest of this in my hand so we can get these vengeance.  I'm going to roll that wagon. Let's go. I ain't going to lie. This wagon is legendary. He tells everybody who told us about the wagon. He said, put everything in the garage. And the wheels on this joint. It's extraordinary, baby. Drop that inside. Let him get some room. Let's put this joint over here. Drop that ice.  We ain't playing around. You wonder why? Why, baby? Come on below and let me know. 2022 is still bad season. We'll keep on getting more reason. I'll see you guys on the next one. We're going, we're going, we're going before you already know the DDK and I'm on my way.