This is covering the spread part of the Fandall podcast network We are getting into crunch time of the NHL season. The futures market is heating up There's some pretty tight race since a couple divisions Stanley cup odds pretty evenly distributed as well And of course, it's still pretty competitive race for the hard trophies We're gonna break down some NHL futures today by talking to Tom Vecchio and then breaking down his leans on tonight's games Over a Fandall sportsbook. This is covering the spread right here on the Fandall podcast network and Fandall research My name is Jim Sonnis. I am a managing editor of digital media for Fandall research Joined here as mentioned by Tom Vecchio check him out on Twitter at Tom underscore Vecchio one find his work at Fandall research Check out the daily ISO once it's back post all-star break as well. Tom. Happy Tuesday to you. How are you doing today? I'm doing good. Yeah big weekend of hockey. We saw a couple outdoor games, which were great We are quickly approaching the trade deadline trade at deadline in just a couple of weeks It is like you said crunch time for the NHL. I think we are in for a very exciting end to the season How does the NHL trade deadline compared to the NBA? So you can get pretty hectic is the NHL pretty similar in that regard or no? There's gonna be like a lot of depth pieces that are traded and they're probably gonna be overpaid for as we see Most years where it's like why why is this player this third-liner being traded for a first-round pick? That doesn't make sense, but a team is going all in then they resign them for too much money like it usual Nonsense is gonna happen. There's probably gonna be no big names move though Okay, so it's good to know a couple weeks down the line before the NHL trade deadline Hopefully not gonna impact things too much from a betting perspective We're gonna break down the futures market with Tom and as mentioned talked through some games for tonight as well But first a reminder to make sure you're subscribed to covering the spread wherever you get your podcast We've got shows every weekday right here on the covering the spread of podcast We're including four shows this week with no show on Monday tomorrow We're talking NBA futures coming out of the all-star break with Ryan Williams getting his read on those a lot of good stuff Here to come on the show throughout this week and other weeks So search for covering the spread wherever you get your podcast if you like what you hear leave us a five-star rating on Apple Podcasts or Spotify and check us out on the fan dual YouTube page and on fan dual TV plus Tom let's begin things here by talking about the futures market because right now in the Stanley Cup odds There are 11 teams with odds at 11 to 14 to 1 or shorter. Nobody is shorter than a plus a 50 So a lot of teams bunch together Is this just due to the the high variance nature of the Stanley Cup playoffs or is there something else keeping everyone bunched together at this point Well, you know pre deadline Teams have one view or in the markets or have one view of teams And then if they make some acquisition or sure up some of the question marks that they have that will obviously change things like my Perspective looking at from like a very plain view is that I can make a case Against all of these teams right we can make a case for these teams. Obviously, that's why they're here But we also make a case for against all of them, you know, for example the avalanche Their gold tending and defense has not been good this year They can outscore anyone but their defense and specifically their gold tending with Alexander Georgiev Which they're trying to improve at gold tending at the deadline Potentially Mark Andre Fleury has not been good, you know, we look at someone like Boston where they got off to a super hot Star and then their depth pieces are just not scored So posh knock and March on aren't scoring well Then they aren't winning and when we get to the Winnipeg jets their goal Connor Helibach is probably in the Vesna, which is goalie the year and they're one of if not the best defensive team in the entire league Their offense is horrible. So like we can go through every single team and find great positives But also some really glaring negatives. So if we combine that with just hey it's hockey weird things can happen in the playoffs I think that's why we're in a spot where it's like there's no actual clear favorite this year compared to where we were last year So at this point, there's really no set in stone team The team that I talked about at times in the earlier in the portion season and before the year started which is the Dallas stars and They are sitting putting things together finally their goalie Jay Gottinger is back. He's healthy when he was out They were winning games, but it was super sloppy So it's like they're keeping pace and points, but they don't look good and now he's back They're like kind of finally rounding into form So I really do like the stars because they basically check every box that you want It's just they have to put it all together for a large sample size now These stars 10 to 1 right now at Fan Duel Sportsbook Do you think it's a pretty fair number and that is that your favorite bed on the board right now? It probably is I think it's a super fair number because they're in the same division as the abs and the jets So when we're looking at three teams that are all within this top portion of 14 to 1 or shorter They're gonna have to fight through two of them Yeah, just to get to the couple or you know two of them to get to the conference fun So it's not gonna be an easy path, but that number is accurate. So let's talk about that central division race It's pretty close right now and especially after last night's games things even a bit closer right now The stars are plus 120 to win the central the jets are plus 160 avalanche or plus 280 It's a tough division The stars in the best position as of right now any read for you on this division as far as who wins it I think the stars end up winning it. I think this it'll finish how it is now stars abs jets There's no value anywhere. The only value you would get is if the abs drop a game or two and you can get them at Five or six to one. Mm-hmm. That's the only spot that I would jump in but as of now It's super tight like I said the jets have a couple games in hand and there are a few points behind So you'd like to say okay? They have the defense to get it done But when push comes to shove like they are not scoring at a high rate in order to keep up with the abs I keep up with stars who have great offense is so it's kind of just a wait and see and I think the best spot is I don't know if you can shop around but sometimes you can get exact finishing orders. Hmm some books offer What a straight outcomes or whatever the terminology these that I think is could be very very interesting as the season comes to close If you can find those markets, but from a straight prediction, I think it's just there's no value left Okay, so Tom thinks the stars get it done but not enough value there to bet them at plus 120s and sands But keep an eye on the avalanche in case they do lengthen in the coming weeks Let's talk about one awards market as well focusing on the heart trophy right here The MVP award for the NHL Nathan McKinnon right now is plus 160 But there are a lot of guys in contention Nikita Kutcher off is plus 270 Conor David plus 340 Austin Matthews plus 440 So a competitive racing if McKinnon is the clear favorite right now any value for you in this market Tom That is with Austin Matthews and I have spoken highly about Nathan McKinnon when he was 10 to 1 to win this award back when we did a pod I think in mid December. Yeah, I'm personally very hot in Nathan McKinnon. I Have a position on him. However Matthews after this goal outburst He's had over the past few games is now on pace to score 74 goals Which hasn't been done. No one has hit 70 goals since 1991 Now the issue is And if you scroll down just a little bit, you'll see the rocker a shard where Matthews is I think minus 850 to win the rocker A short rocket Richard lead the league in goals. He's going to win that he's a 10 goal lead So he's on pace to score 74 goals No one has had more than 65 since Ovechkin in I think was the 2008 2007 2008 season he can hit 70 goals realistically. The problem is he's not gonna have as many points sure as we see with McKinnon McDavid or crude trouble all these players gonna finish I'm gonna say within five to eight points of each other hundred twenty five hundred thirty whatever this So the question becomes is what do we or I should say the voters Determined to be like MVP worthy is it putting up a hundred twenty points Which players have done over the past few years or is it doing something that no one has done in 30 years? That's what it comes down to we're splitting here say because Matthews is not gonna have a hundred thirty points that he's just not going to but 74 goals which he's on pace for is unbelievable so I think there's a bit of value with Matthews to win the heart. I think it is diminishing every day You can't take it less than four of one Maybe three and a half to one but at a certain point if he's neck neck with McDavid I'm gonna side with McDavid ten times out of ten just because of what he does So you have this McKinnon position already in and are you considering Matthews as a hedge against that position at plus 440 or Do you want to just kind of let your your good hand ride right now? I really want to take Matthews if he drops to five to one Yeah, I don't think that's gonna happen So I just I like missed the boat on an essentially where you know He had hat tricks and back-to-back games on Thursday and Saturday and if you jumped in on Friday afternoon for you this other hat trick maybe got him at five and a half to one but I Maybe you chop around and find a better number. He's four and a half. Maybe five somewhere else But I'm sticking with McKinnon at ten to one It's gonna be super tight to end the season and you know Maybe this is just spot where I just bet Matthews to have like to gold on a nightly basis just to try and Position or whatever might be right and maybe you get both You never know you could because seems like the goals are pretty good about with him regardless Okay, so Tom is eyeing Austin Matthews plus 440 to win the hard trophy right now over at van duels sportsbook Let's shift focus now Tom and talk about some games across tonight seven games slate in the NHL Let's begin things with some money lines and totals where you're seeing value right now there at van duels sports Two traditional markets starting off with the Penguins Islanders under under five and a half. I believe it's still a plus 100 the They are fighting forward the exact same thing which is the second wild card spot as of now The Penguins are surprisingly extremely strong on defense this year They are horrible on offense where you see a team that's in the top five the league for the fewest goals allowed Why are they so far behind in in the standings? Well, their offense just isn't there The aisles are coming off this loss You know kind of devastating loss the other day in the outdoor game against the Rangers where they're up four to one They end up losing six to five and over time Despite all that their defense has improved since Patrick Watson go over as head coach They are trending in the right direction one game is one game It is what it is, but they're actually improving and it may not seem that way, but they actually are So considering the the history that these two teams having considering that this game is extremely important for both teams coming off Of losses, we are not going to see an open back and forth game I fully expect this to be one of the best games the night because it should be a playoff Atmosphere two to one final maybe three to one final It's not going to be super exciting from a scoring perspective, but it should have that intensity so when we look at a team that is Effectively great on defense like the pens and then a team that's actually trending in the right direction like the aisles We're actually set up for a really low scoring game combined with the fact that the pens lost Jake Gensel They're second best goal score behind Cindy Crosby. He's out for multiple weeks So we have a team that's already bad on offense and now that's decreased even further the player being out The total is five and a half right now even money on the under it's a pretty low total But does that intensity factor is that what allows you to take the under despite the fact? It's sitting at five and a half right now Yeah, like maybe if you want to buy it up and get the this flat six and just under six so you can get a push That's fine. If you're willing to lay that extra juice I don't mind that in certain circumstances. I think we're getting to the point in the season where I'm willing to go to Oh, it's a it's a five I'll push it to six and I'll get the minus one forty five juice Whatever might be just because I'm I'll play a little bit safer. Okay, so I I think we're actually a point in the season where we actually can really just trust teams to do things in a rational manner and Focusing on teams that need to win focusing on teams that need to be playing solid defense. That's where we should be Deriving the best approach if that makes sense like yesterday that the sneakers and the ducks play like that's not a game You should be focusing it on too much. Okay, so Tom likes the under for the Islanders and penguins under five and a half plus 100 right now you mentioned there was one other traditional market bet you liked as well Which one was that that's gonna be the Dow stars money line at plus one twenty six They played yesterday at Boston. They played a great game They lost in the ninth round of the shootout the Rangers are writing now a Seven-game winning streak and as I mentioned, they you know this big come from behind emotional win against the The Islanders in the outdoor game on Sunday. This is just like a letdown spot for the Rangers also I View hockey as much as I the same way I do baseball There's just so much variance where teams just don't win nine ten games in a row Very often and as I mentioned the stars are an awesome team, right? We're putting all the piece together. They have incredible depth They probably the best forward group in the entire league their defense getting healthy Like I said, Jay Godinger is back where they're placed in a today after yesterday's yet to be seen But they're super solid team and I'm not sure we should be seeing Igor Shisterkin and net for the Rangers Because he played past your games It should be Jonathan quick who's been good but not great for the Rangers this season They also could be missing Ryan Lindgren with their top defenders So we add all these things together and it's like hey This is actually a toss-up game just because both these teams are really good I'm just gonna take the plus money with the team coming off a loss and banking on a little bit of variance But your Rangers Phantom so the value lies values values say values value. I'm proud of you You know not rooting for the for the laundry right? This is this is about we have two good teams And if we are expecting eventually the Rangers to regress off this gold scoring rate Which has been unusually high on a seven game winning streak. That's going to a risk I'm not their defense has been okay as of late like they're giving up a ton of goals And they have the score and to come back and have these come from behind wins But that's not obviously a good like process wise Way to be going about things when you know, I said the stars. They're an awesome team Yeah, okay, so Tom likes the stars plus 126 and this is a bet against fair teams So hopefully that made makes a little bit more weighty as well. What about player props? I think it's standing out to you there tonight. Yeah, there's only two at least as of now, too I'll have an article about article up on fandal research going through a bit more, but with the Winnipeg Jets Kyle Connor to score a goal at plus 135 The Jets had I'm gonna say a bit of a disappointing game yesterday. They were up They lose to a team with the flames that are objectively worse Kyle Connor is a primary shooter for them First forward line first power play always putting up goals He was actually I don't want to say on pace But he was almost neck-and-neck with Matthews to start the season He then had a knee injury the very beginning of December missed six weeks eight weeks whatever was but he's an elite goal scorer and High volume shooter hasn't scored in a few few games the wild had no pun intended a wild game yesterday Which would they won 10 to 7? After scoring six goals in five minutes and 54 seconds, I think it was to start the third period It's three players had a hat-trick in that game, which was the first time since 92 I believe they were down five to three coming into the third and they won that game 10 to 7 so an absolutely insane game from the wild and Like I said, the Jets are a great defensive team But their offense has been slacking and given the lack of defense from the wild not just yesterday But overall Connor really should be shooting at a high volume And he's plus 145 right now for any time goal at fan dual sports for for the wild and the Jets 10 to 7 is nuts Yes, I am in theory a wild fan, you know, but Clearly, I'm not keeping that close tabs got Daytona's a higher priority. Daytona was on yesterday I'm not surprised you weren't keeping track with the wild Canuck skating yesterday, especially in the year 2023-2024 I'm not keeping super close tabs and all that that focus is dedicated more towards the wolves for me is my like tangential fandom Okay, any other player props you like besides the Connor goal Yeah, one other would be on the Los Angeles Kings last game on the slate the Victor Arbetson for a goal The Kings have a slate high 3.87 implied goal total as you can see that they are pretty juicy minus 245 home favorites Victor Arbetson This will be his fourth game of the season. He started the year on long-term IR. He missed a ton of games Obviously, this is fourth game of the season Looking back at his career. He is traditionally a 20 to 30 goal scorer very solid news with Nashville High volume shooter blue jacks are terrible on defense. He's shot the puck well in his first few games He does not have a goal in his first three games with five three and four shots on goal Which is you're saying oh, it's only three games He's you know averaging three and a half or so shots on goal per game. That's actually where he should be You're looking back at his historical track record. So I like the fact that they're at home I like the fact that we get a big number on a traditionally very strong goal score and a slate high 3.87 implied goal total is Something that we should be tacking every day So even if you this was he hasn't scored a few games wasn't his fourth game of the season all these things like we should Be looking at him Adrian Kenpey Trevor Moore some of these players are going to be scoring against the blue jackets tonight Now at Arbetson as you mentioned coming out the injury He's played three games since he returned the shot volume has been good time on ice 15 minutes 18 minutes 16 minutes Is that enough for you to feel pretty good about the volume like no ramp up concerns with him? Oh, absolutely not is a player that's gonna be on the top six and seeing power play time You know whether I have to check the updated lines if they shifted things around but 18 minutes 16 minutes That's where he should be so that is absolutely on point high volume. It's the blue jackets I'm not worried about if it's Elvis Merslaken's a net whoever it is. It doesn't matter. They're terrible I'll be taking a high-volume shooter anytime going against the blue Jack to the sharks any of these teams Okay, so Tom's two player props are Kyle Conner to score a goal for the Wildem Jets plus 145 And then Victor Arbetson to score that is plus 185 as well That is Tom Vecchio make sure you check him out on Twitter at Tom underscore Vecchio one Fun his work as mentioned at Fandall research and check out the daily iso once that's back from the NBA all-star break as well Tom have a fantastic day. I'm looking forward to talking to you again soon. Thanks for having me Alrighty big. Thank you to Tom as always looking forward to getting him back on the show here again in the very near future Gonna go back through recommendations from last week here on the show in just one second But first get buckets with your first bet on Fandall America's number one sports book because right now new customers get $150 in bonus bets than any winning $5 bet That's 150 bucks if your bet wins bet on all your favorite NBA players and teams with quick bets live same-game parlance exclusive props and more Just visit the Fandall comm app and shoot your shot Fandall official sportsbook partner of the NBA must be 21 plus in present and select states first online real money wager Only $10 first deposit required bonus issued is now with trouble bonus bets that expire seven days after receipts see terms at sports book Fandall comm Fandall is offering online sports waging in Kansas under an agreement with Kansas star casino LLC gambling problem Call 1 a hundred gambler or as a fandall comm slash rg Colorado Iowa, Michigan, New Jersey, Ohio Pennsylvania Illinois Kentucky, Tennessee, Virginia and Vermont call 100 next step or text next step to 53342 in Arizona<PHONE_NUMBER> over the ccpg.org slash chat Connecticut 1 809 with it in Indiana 105 2 2 4700 visit KS gambling health.com in Kansas 1877 770 stop in Louisiana visit MD gambling health at Oregon, Maryland 100 gambler net in West, Virginia 105 2 2 4700 in Wyoming hope is here visit gambling helpline ma.org or call a hundred three two seven fifty fifty for 247 support of Massachusetts or call 1877 open y or text open y in New York Let's go back through recommendations here from last week on the show beginning with me at Daytona Recommend a couple of stuff a couple things on a Friday now This is before the races were postponed for the Exfinity series in the cup series so because they're postponed more than 24 hours these bets for refund if you bet them at Fandall so keep that in mind that they would have been Voided if you'd bet them then the bets are recommended for transparency purpose were more in Truex jr. 23 to 1 2x ok race got caught up in a wreck pretty late. I didn't do a whole lot there, but Still thought it was good at the time and then in Exfinity series I had Daniel Suarez 16 to 1 and Ryan C 50 to 1 Suarez got caught up in a very early crash See got caught up in one later So 0 for 3 on those in the truck series on Friday This these actually did stand this one is real Tyler anchorman 22 to 1 is my loan recommendation for the truck series at Daytona anchor in a pretty good truck again as always Ran up front for most of the night and she got caught up in a wreck not in his own doing once again That's how things have always gone to the anchorman pack tracks. I can guarantee you I'll probably be back on him again this week in Atlanta. It's kind of how things go So Tyler anchorman 22 to 1 did not win there For the EPL we had Austin Cass on to talk about EPL match week 25 check out Austin on Twitter at Austin Cass Find his work at Fandall research where he is a senior editor Austin had Phil Foden to score assistant plus 105 for man city versus Chelsea had to make sure that Foden was in the starting lineup Before betting this one and he was this one did stand Foden though did not score or assist a 1-1 tie But are a draw between man city and Chelsea so no win there other two bets for Austin were on Monday That was the Everton money line at minus 140 and Everton over one half goals at minus 104 The XG numbers actually said that Everton played pretty well in this game They outscored Crystal Palace by a full goal in terms of XG, but it was a 1-1 draw So no win for either the one and a half over or the money line on Everton We'll get awesome back on the show later on this week to talk EPL match week 26 Finally, we had Tom Vecchio on earlier on this week talked about the NBA all-star game at festivities in a three-point contest He had Donovan Mitchell plus 950 to win that one along with Mitchell over 19 and a half points in round one at minus 130 And that first bet did hit because Mitchell scored 21 points around one But that was not enough to advance to the second round but regardless hey that that wins So hopefully a bit of a hedge there and a bit of a cushion. I guess I should say With the plus 950 on Mitchell then Tom also had Tyrese Halliburton all-star game MVP at 16-1 and Shay Gilgis SGA all-star game MVP at 14-1 couldn't get by on either of those. I believe it was Damia Lillard Let's just check that quick because I actually forgot to check this. Yeah Damia Lillard MVP and winning the three-point contest. So Couldn't quite get over Dame there with Halliburton and SGA but fun discussion regardless and hopefully a good weekend I know that the Twitter sentiment around the NBA all-star festivities is not great But hopefully it was fun for you individually watching all those events That's all that we have here for today on covering the spread as mentioned Ryan Williams is with us tomorrow talking NBA futures coming out of the all-star break That'll be up tomorrow morning on the cover in the spread podcast feed along with the Fandall YouTube page and Fandall TV plus if you got any questions for me I'm on Twitter at Jim Sonnis You can check me out in threads at Jim dots on this and find Fandall research on Twitter at Fandall research Want to thank you all for tuning in for today. Good luck to you with your bets across Tuesday And we'll talk to you once again tomorrow to break down some of the a this has been covering the spread right here on the Fandall podcast network


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here are seven reasons why people might be ignoring you. One, you're too needy. Everyone struggles with insecurity at one point or another in their lives. They can make you needy, clingy, and dependent, to the point where others won't want to be around you anymore. A needy person wants to be reassured of their self-worth so often that it gets kind of annoying, and being around them feels more like a burden or a chore, rather than enjoyable company. Two, you're always complaining. Are you constantly complaining to your friends about all the things that go wrong in your life?  If your answer is yes, you could be pushing away everyone in your life with your constant negativity. Ask yourself, what might be the root cause of your negative thought patterns? These negative thought patterns are sometimes ingrained in us from early on and have become part of our programming. And if you're unaware, you might unconsciously allow it to take control of your life. Three, you're too self-centered.  So much so that you fail to show interest in what other people have to say? Do you want to just talk about yourself and your achievements whenever you have a conversation with others? Perhaps you only care about your own wants and needs. If you answered yes, this might be a reason why people are steering clear of you. Four, you don't listen. Are you often labeled as opinionated or assertive by others? These aren't necessarily bad qualities, but it's important to give other people a chance to speak too. You constantly talk over everyone all the time. If that's the case, they'll think you're stubborn, close-minded, and can't be reasoned with, so the only thing left for them to do is just ignore you. Five, you're too mean. It can be hard for us to realize when we go too far and hurt other people's feelings sometimes. Instead, it's usually only when they've had enough and walk away from us that we do see all the terrible things we've done. Do you have a tendency to make jokes about your friends and tease them about things you know make them feel insecure? Do you point out their mistakes and have a laugh at their expense sometimes? Even if you only mean it as good natured fun, other people might not see it that way. In fact, they'll likely give you the cold shoulder and start ignoring you on account of your bad behavior. Six, you're too intense. When you're too intense all the time, people tend to react by being dismissive and different and tuning you out. It can be exhausting having to deal with someone so emotionally volatile.  Are you quick to get angry, hold grudges against people, overreact to situations, or so most of your time ranting and arguing? This kind of intensity can chase people away and make them think you're too high maintenance to be with.  Finally, one reason why people might be keeping their distance from you is if you act distant in the first place. Do you find yourself being too guarded and reserved when interacting with others? If yes, this could then be misunderstood as aloofness and detachment. People may assume that you'd rather be alone than that you don't want to be around anyone, so they give you plenty of space. They're unsure whether or not you want them around because you act so impassive and indifferent to their company. In truth, however, you're just too shy to tell them how you really feel and what you really want.


When I talk about squats All I'm talking about is I'm bending at the hip the knee and the ankle at the same time Just like this, but you know what else that looks like looks like a lunge It's the same kind of thing it's a little bit different, but it's pretty much the same kind of thing Similar musculature though the activation is different the same stuff is getting involved So what I want to do today is talk through some of the differences here In a bilateral squat, I'm using two feet. That's what the bilateral comes from unilateral one leg bilateral two leg In a bilateral squat my base of support is really wide depending on how wide I want to take my stance. I have Greater ability to control my center of mass and that center of mass is dictated both by the positions that I Adopt while I'm doing this lift and the ones that I am able to maintain. It's It's determined by stiffness and hips It's determined by sensitivity of your nervous system and it's determined by the load that is on top of you Right if I have a barbell on the front of my body, I'm going to adopt a different position Then if I have a barbell on the back of my body Okay, so all this stuff comes into play With the bilateral squats since the base of support is really wide the stability demands are much lower I don't need so much balance. There aren't many people who are going to fall over when they're standing on two legs unless you have some sort of vestibular proprioceptive Problems you're probably not going to run into many issues with balance when you're on two legs The problems come when you shift on to one and when you move over to the next and the interplay between those two So a bilateral squat doesn't have very strong stability demands Okay, I get stability from the position So what I can do then is I can demonstrate more force more power more speed more strength Okay, I can use heavier weights and I can train this force production capability of my body Right. I'm not going to single-leg squat 225, but I can body weight squat to or I can barbell squat 225 So stability demands are the major major difference second biggest difference is just the joint positions that are required from bilateral squatting so The hip has more motion When I bring it this let me so I'm going to keep it in line and I'm going to bring it as high as I can Without moving my entire body. Okay, that's about as high as I can go It's maybe a hundred degrees of hip flexion just like this I'm going to try to do this again not compensate at my other leg and just pull it up as high as I can That's as far as I want to go I'm getting a little pinch in my hip. I'm getting that muscles getting really tight.  That's the hardest motion to demonstrate right this would be passive Because gravity is forcing me into that position. This is active because I'm pulling my hip into that position Now What's going on? So the shape of the hip joint is not consistent. It's not just a circle and a ball is in the circle It's kind of like a half moon and chiseled out in some areas and I get blocked When I go this way, but I don't get this bony block when I'm here This is actually much more relieving for those that pinching in the hip that I was telling you I was feeling I feel it here, but I don't feel it here That's because the position of the hip joint is different. I now have more mobility this way Okay, so this Outside position is a lot like this squatting position and so I can get more squat depth more easily Not just because I have a bilateral stance and I have a lot of stability But because the hip joint is in a position where it can demonstrate more mobility so if you're looking to train at depths without Emphasizing or without Increasing your your flexibility you might want to try doing some sort of bilateral lift as well Okay, hopefully that kind of makes sense that one that one's a grayer area, right? Much more gray than I can just do more weight, right? So Next so we talked about Using more load and the stability demands we talked about the joint positions that are Achieved in a bilateral squat now. Let's look at this from the unilateral squat from the let's say split squat position here So one foot is forward one foot is back. It's like a lunging position, but I'm not moving my feet I'm still doing a squat pattern, but it's mostly on one leg It's mostly on this front leg as long as I keep my weight kind of forward a little bit I can load this front leg more if I try to stay back. I'll load the back leg more and it doesn't feel right So try to bias yourself into loading the front like just slightly. Okay What is going on here? Well now Instead of having my knee out like this as long as I'm not queuing my knee out like this I'm gonna have harder time getting into the mobility, right? I'm not gonna have as much mobility I'm not gonna be able to squat so deeply that way unless I'm really flexible, which sometimes some people are It's just going to demand more control Okay, so if we go in order just like last time right lots of stability less stability in fact not that much stability if my base of support is the width of both of my feet here and The you know accompanying the difference between them or the distance between them This base of support is just one foot if I put this back foot down I get a little bit more stability So if we talk about a pistol squat, I have almost none I have one foot size and my foot's pretty small, so I don't have that much stability But if I put this other foot down then I have somewhere in between Having one foot up in the air and having both feet down on the ground Okay, so now you're starting to see we can place these things on a continuum, right? This squat progression we can look at from different ways I can look at I can progress to a bilateral squat till use more load or I can progress to a split squat or a Pistol squat to demonstrate more mobility under load to oppose gravity with more mobility Okay, so we talked about load We talked about these positions now the the the next thing that I want to talk about I mentioned there are similar muscles active in these patterns But they're not active to the same degree So when I'm here and I shift my weight a little bit more forward maybe I'm 60 40 front to back Okay, as I come down I need a lot more lateral glute outside hip muscle here To support myself because if I shut it off then my my hip collapses outward and the opposite side of my body falls down like this Okay, and you'll see some people will do this this way. They'll be really I might say Overlateralized they're over to one side too much and I might need to cue you hey push through that foot and I'm serious I'm doing this right now and it's pushing this back to the midline. It's keeping me in line Okay, so there is this Not only narrower base of support, but there is a different stability demand the synergistic muscles that help you accomplish this movement like the gluteus medius is much more active When I'm preferentially loading one leg Rather than both Because I don't need glute made here so much It's gonna help push me up together when they work both work together, but this way it's gonna keep me from falling Okay, so I get a little bit out of it here, and I get a lot out of it here right off on So again, even though they're active in both squatting variations. I'm loading this a lot more so when I Take myself to train with unilateral type movements whether that be Reverse lunge whether that be a forward lunge or Whether that just be the split squat. We've been talking about or like a pistol squat like we were kind of talking about earlier The the emphasis gets placed more on the synergistic the supporting musculature So if you need supporting musculature and you might and a lot of people do Then maybe you need to spend a little bit more time in this Unilateral area, but if you're just new to lifting and you're totally weak and you're trying to learn how to squat a Bilateral squat is a good place to start Let's say you've been training for a year. You've been doing a five by five program you found on the internet and You've been doing this a lot and This is your goal. You want to squat more Well, I think you should still spend some time here Because this supporting musculature will keep your body together.  It's passive right But if I know the way to not shut it off I know the way to turn it on because I trained myself in these Unilateral variations where it's really stressed Then I can take that over to my main lifts the lifts that I'm testing the lifts that I'm trying to improve and I can get this carry-over training effect from an exercise that is kind of unrelated Not the same but kind of still related an assistance exercise So those are some of them many many differences bilateral squats good for using more weight You have more stability in the exercise itself Unilateral squats are really good for emphasizing synergistic movements. They're good for muscles synergistic muscles and they're good for emphasizing balance and for Teaching your body to control mobility and for demanding more from your your positions and from your motor control Hope that helps. There's anything I missed leave a comment below or just ask your question and we can have a discussion


is a talk that is a toolkit for empathetic coding. And we'll be delving into some specific examples of what that means and uncritical programming painful results from doing things in ways that were benignly intended by us. And I wanna start with a content warning because I'm gonna be delving into some sensitive areas. Examples dealing with grief, post-traumatic stress disorder, depression, miscarriage, infertility, racial profiling, Holocaust surveillance, sexual history and consent. And while none of these are the main topic, I will be touching on them.  So you've got a little time to think about it. Algorithms impose consequences on people all the time. We are able to extract remarkably precise insights about an individual. But the question is, do we have a right to know what they didn't consent to share with us? Even when they willingly share the data that leads us there. And we have the question of how to mitigate against unintended consequences of that. So thinking about what an algorithm is and a really basic generic level, it's just a step-by-step set of operations for predictably arriving at an outcome. So obviously usually we think of this in terms of CS or perhaps in mathematics where it's patterns of instructions articulated in either code or formulas. But you also can think of algorithms in an everyday life, patterns of instructions that are articulated in all sorts of ways, including recipes, maps, crochet pattern. Deep learning is the new hotness right now in machine learning. It is essentially algorithms for fast, trainable, artificial neural networks. And this is a technology that's been around for decades, at least since the 1980s, but mostly up till now in more or less theoretical scale and locked into academia. Due to much more recent advances, just in the past two, three years, deep learning has now become realistically able to extract insights out of the vastness of big data in production. And it's a particular approach to building and training artificial neural networks that you can think of as just a decision-making black box. And what that means in particular is you've got inputs that is just an array of numbers representing something. It might be an object, it might be words. It can be much more abstract concepts. And then you're running a series of functions repeatedly on the array. And when I say repeatedly, essentially, we're talking iterations in which it's getting more and more fine-grained in what it's analyzing. And then you have output that is a prediction of properties in all of that that will be useful for drawing intuitions from future data sets as long as they're similar to that training data set. So this is driving major advances in a number of areas, including data analysis, data visualization, NLP, computer vision. It's even being used right now for things like self-driving cars. So today we're gonna be looking at some examples of practical uses, including behavioral prediction, image classification, face recognition, and sentiment analysis. And if this is starting to sound intriguing, you can try it out a little bit. ConvNetJS allows you to do some deep learning experimentation in the browser. Obviously, this is not going to get you the speed benefits, but it's an opportunity to kind of try out some different models. There are a number of frameworks and libraries available. Ruby is one of the few exceptions right now. So I hope that if this is something that you find interesting, maybe one of you will be the one to start getting this something that we can use as well. So we lost, okay. So deep learning relies on that artificial neural nets, automated discovery of patterns within that training data set, and then applies those discoveries to draw intuitions about those future inputs. And that's a little bit abstract to think about. So let's look at a really concrete little example. This is MARIO. It's an ANN that teaches itself how to play Super Mario World. It starts with absolutely no clue. It doesn't understand its world. It doesn't understand rules. It doesn't understand gaming. All it does is manipulate numbers and then notice that sometimes things happen. The ANN learns movement and play. It learns it via that self-training session over and over again in a 24-hour period of experimentation that leads it to identify patterns and then use those patterns to start predicting insights. By the end, it truly can play the game. And speaking of games, let's play one right now. It looks something like this. It's kind of like Bingo. It is the craziest game of Bingo you've ever played, but let's go to shot.  By looking at case studies, we can explore some of the ones that are on this board. So let's go ahead and try this. In the retail sector, the second trimester of pregnancy is referred to as the holy grail. And the reason is because in the second trimester of pregnancy, women start to change their purchasing habits and change them in a big way. So brand loyalty, store loyalty, all the habits that they've built up are suddenly up for grabs. And for retailers, this means the opportunity to literally get someone to lock in, to not just purchasing decisions during this period, but potentially for the rest of their life and their families. Target is a US department store chain. And it came up with a predictive algorithm that pretty reliably detects when someone is their second trimester, just from the purchasing habits that they're starting to create right there. And that is powerful because most retailers couldn't find that out until around the third trimester. So they were able to get this jump start. Until one day a man came into the store and he was really angry and he's yelling at the manager, how dare you send coupons to my daughter full of thanks for pregnancy? Are you telling her to get pregnant? She's just a teenager. This is outrageous. And the manager who is not in charge of a big national chain of stores said, I apologize, I'm so sorry. Obviously, we don't intend that. And the man went away, came back the next day and he said to the manager, I apologize because I spoke to my teenage daughter and it turns out there's some things I didn't know. Was she ready to tell him that day? Was Target putting her in a situation that she wanted to have a conversation with someone who is angry and confused? So here they had those ads and they're full of stuff about pregnancy but they started to realize that people like this were not okay with that. And so they took a lesson and the lesson was let's hide things better. So they changed the ads.  There's no meaning behind it. In fact, there is meaning. It's the exact same targeting but done more subtly. And the reason is because what they concluded is as long as a pregnant woman thinks she hasn't been spied on, as long as we don't spook her, it works. Shutterfly, you may recall, is a photo processing service that they use to make various things such as cards, calendars, et cetera. They sent out this message, essentially congratulations on your new bundle of joy. It's time for you to buy a bunch of cards from us announcing how wonderful it is that you now have a baby. Some people laughed at this and said, I haven't been pregnant. Also, I'm a dude. Other people responded very differently. Thanks, Shutterfly, for the congratulations on my new bundle of joy. I'm horribly infertile, but thanks because hey, I'm adopting a kitten. So I lost a baby in November who would have been due this week. It was like hitting a wall all over again. Shutterfly responded, they said, the intent of the email was to target customers who had recently had a baby. Yes, duh, we could tell. The point is that they had false positives in there and those false positives had impact. A few months ago, Mark Zuckerberg announced with considerable excitement that he's going to be a father soon. He also wrote about a series of miscarriages that he and his wife had dealt with as a couple. He said, you feel so hopeful when you learn you're going to have a child. You start imagining who they'll become and dreaming of hopes for their future. You start making plans and then they're gone. It's a lonely experience. Facebook Year in Review, many of us are familiar with this. It's been going on for a number of years. This past year they decided to get more algorithmic about it, looking at various criteria that probably indicate that there was an exciting development, lots of likes, lots of activities, stuff like that on particular posts. What they failed to take into account is that our lives are constantly changing. We have relationships that change, jobs that change. Not every memory stays the joyous one that it once was. Eric Meyer coined the term inadvertent algorithmic cruelty and he defines this as the result of code that works in the overwhelming majority of cases but doesn't take into account other use cases. So why does he get to be the one that names this? Because he's one of the people that happened to. This is a picture of my daughter who is dead, who died this year. He said the Year in Review ad keeps coming up in my feed, rotating through different fun and fabulous backgrounds as if celebrating her death. And there's no obvious way to stop it. He asked us to increase awareness of and consideration of the failure modes, the edge cases, the worst case scenarios. And I hope that's what I can do today and that we can spread beyond here. Without a mind, here is my first recommendation for all of us, be humble. We cannot intuit interstate emotions, private subjectivity, not yet anyway. Fitbit, when it started out, it had a sex tracker. And the thing about this sex tracker is it was public. I heard ouch. Vigorous effort. All right, so the other thing I do is I'm a certified sex educator. I look at this and there's really two options here. Congratulations or we need to talk. People did not know that it was public. They were unwittingly sharing this information. This is an algorithm to remember, predictably arrive at an outcome. This was a result of engineers not thinking about the different meaning of data, just collecting and sharing it. We might be willing to compete on things like how many steps we've taken, what kind of calories we've taken in. That doesn't mean that everything is something we wanna share and compete over. Some things are just private. And that was not thought through in making that kind of control panel. Uber. All right, so most of us, if not all of us, need some sort of internal ops tools. Monitoring, performance tuning, business metrics, whatever. Uber is called GodView. It basically allowed them to track cars, track passengers. In part you could see things like where things are clustering and be able to send out more cars. But they didn't limit access to just admins or restrict it to operational use. Employees throughout the company could freely identify any passenger and monitor that person's movements in real time. Drivers also had access to GodView records. Even a job applicant was welcomed to access those private records. Managers felt free to abuse GodView for non-operational purposes altogether, such as stalking celebrities' rides in real time and showing it off as party entertainment. And just to give you an idea of how horrifying GodView really is, here's an actual code excerpt. This is so knowingly inappropriate. Seriously. Auto-play true?  And of course there's also this other reference to a background image. And that's pretty telling too. So if you recall, OKCupid, the dating site used to blog about things that they were learning from aggregate trend data. And that blog focused on sharing insights into simple ways that OKCupid, sorry, OKCupid users could use that dating site better. How to be more effective at the goal that you have in using this site at all. Uber used to blog about its data as well. Crucial difference. It was not about improving customers' experience of the service. If you read that, Uber can and does track your one night stands. Why are they even looking at this? This is purely invading people's privacy, not for any operational reason, not for any service reason, but purely for the sake of judging and shaming. And if you think back to all those people who had access to those records, that becomes all the more problematic. This is not a predictable consequence of signing up for a ride share account. No one ever bought into this. Google AdWords. There was a study at Harvard of AdWords. So they looked at differing templates offered for essentially the same service. And what they did was they came up with two lists of names, the first names. One that's highly correlated with black people, one that's highly correlated with white people. So on the first list, you might have names like say La Tanya, and on the other list, you might have names like Jill. And then they looked at when you search for real professors with that first name, what do you find? AdWords returned very different results. A black identifying name was 25% more likely to return an ad that implied an arrest record. And you remember what the algorithm does. It's just focused on predicting what we click on. It's not meant to in any way reflect the real world. That's irrelevant to what AdWords does. Its job is simply to figure out what makes us click. And then based on what it observes about us, what it's observed of other people, it then starts to refine that. So originally it starts with all possible templates and then it starts to whittle down to the ones that we've shown the most interest in. So what we see here is our own collective bias being reflected back to us and reinforced and validated. Data is generated by people. It's not objective. It's constrained by our tunnel vision. It replicates our flaws. It echoes our preconceptions. Let's look at Flickr and Google Photos. So as I said, deep learning deals with things like image analysis, and that includes a variety of things, including facial detection. And we've seen this technology around for a while. You remember how it was in the beginning? Pretty funny mistakes, right?  It's a false positive, but you know, whatever. More recently, Flickr classified as children's playground equipment, this. Dot go. The white tags you see there are Flickr's. The gray tags are the photographers. This is an algorithm treating human knowledge as irrelevant to machine intuition and treating data as inherently neutral. Flickr tagged this man as an animal and an earlier version also as an ape. Now that's a comparison which in the US has a particularly ugly history and that's what makes it all the more damaging and upsetting. This, unlike that iPhoto picture, is not in the past. This was four months ago. Three months ago, there was this from Google Photos. How does this even happen? Well, for one answer, you have to go back all the way to the 1950s. When Kodak was first creating film stock, they optimized for finding detail in white skin. They weren't interested in black skin people as customers. So, you know, to make sure that they're capturing detail in whites, every day, photo lab technicians had to use these or called Shirley cards to calibrate equipment, make sure that it is accurately representing as much detail as possible in whites and that white is very true, black skin here is being treated as completely irrelevant to film stock. The problem is that this algorithm has been reproduced all these decades later and even in digital, we're still replicating this algorithm because when we turned to digital photography, it's not as though suddenly we could have made completely different rendering and people would have just said like, wow, this thing is so broken, you know, this sucks. Of course, we were continuing to make images exactly the same way and the problem got lost. A firm is essentially a credit lending agency. It specializes in just a few consumer goods and its target market for the most part is young, fairly well off people. They make an assessment of credit worthiness based on just a few factors originally. The only thing you have to submit is name, email, mobile phone number, birthday, and the last few digits of your federal identification number. And from there, it really goes to work. It does things like look for how long it takes you to remember that information.  So do people like parents, anyone who is routinely distracted is gonna be treated as less than. They look at things like GitHub activity. Why is that a problem? Well, 2% of open source contributors are women. If you start getting into people of color especially women of color, the numbers become fractional. This algorithm is just reinforcing privilege because you have to remember an algorithm is just a procedure for reliably arriving at an outcome. That means it's up to us to take into account what impact those outcomes are leading to. A firm analyzes applicants social media accounts including GitHub but also others. There are other companies doing similar things and going beyond that in 2012, Germany's biggest credit rating agency considered evaluating applicants' Facebook relationships. And this year, Facebook itself has defended a patent that pushes even further down this road by making credit decisions about a person based on the unrelated credit history of your Facebook friends. They understand that friends in real life and Facebook friends are not necessarily related to each other at all. These are not necessarily overlapping circles. The CEO of the firm defended this saying that, you know, gee, you can't really look at this too closely because then you'd start to introduce bias. What? Data's not objective. It always has bias. It's inherent a minimum in how it was collected and interpreted. Every flaw and assumption in a data training set and those original functions are, of course, having unrecognized influence on algorithms and those outcomes that they generate. A firm says its algorithm uses 70,000 factors. How many of those have potential for discriminatory outcomes? How would they know? How would an applicant know? It's not like someone can tell you what criteria led to a decision. Rationals for that algorithm can only be seen from inside the black box. Which is why I took a picture from inside a black box. Making lending decisions inside of black box is not a radical new business model. It's a regression. What is disrupting is fairness and oversight. Many countries, financial institutions, and their regulators are paying close attention to these new models. I love this. Sarah May went on a rant about this recently and as she says, many regulations aren't placed to correct for systemic structural bias against minority groups. We need to be asking ourselves, do we want that to be disrupted? Right now we are in an arms race, a machine learning arms race. Facebook, Google, Apple, Microsoft, they have all made huge investments right now in companies that are doing this and in the technology underlying it. They're making big bets in opaque intuitions. And for the moment, quality varies, but we need to remember this. Deep learning is all about iteratively drawing intuitions at extremely fine grained levels. Which means they're growing more precise and correctness but also more dangerous and damaging in wrongness. So that's a dilemma for us to take seriously as developers. Algorithms always have underlying assumptions about meaning, about accuracy, about the world in which data was generated, about how code should assign meaning, underlying assumptions influence outcomes and consequences. But we do care about getting this stuff right. We want to be empathetic coders. We wouldn't be here otherwise. So the question is how do we flip the paradigm? We can do some things like taking lessons from professional ethicists. It turns out our profession has some. They are from the Association of Computing Machinery which I'm sure every one of us has heard of. So I've adapted a few of their guidelines as well as from some other professional ethicists. We need to consider decisions potential impact on others. Asking questions like how might a false positive affect someone? For instance, those Shutterfly customers. How might a false negative affect someone? For instance, being denied a loan. And how might an algorithm's intuition be seemingly correct and yet deeply wrong about human context? Like that photo of Dachau. Like the memory of Eric Meyer's daughter. We need to reject the likelihood of consequences to others and minimize the negative consequences to others. And you'll notice I keep saying others. We're very good at thinking about consequences to business. Not so good about thinking about consequences beyond it. We need to be honest and trustworthy. Not just because these are, you know, the right things to do, but also because we will fail from time to time. And we're gonna need to earn the right to say that was an honest mistake. We're so sorry. We're gonna fix this and be believed. And part of that is it's also really important to build in recourse from the beginning so that someone can easily correct our mistake and conclusions when they're wrong. We need to provide others with full disclosure of limitations on things like these and call attention to signs of risk or harm to others. And this is a really important one. We need to be visionaries about creating more ways to counteract bias, bias data, biased analyses, biased impacts. And finally, we need to anticipate diverse ways to screw up when teams are charged with defining data collection, data use, data analysis. If they're less diverse than the intended user base, we're gonna just keep on failing them, which is why we must have decision-making authority in the hands of highly diverse teams. And what do I mean by highly diverse? Well, culture fit is the antithesis of diversity. It's superficial variations being allowed to exist, be tolerated, but their unique perspective is suppressed. Unidimensional variety is also not diversity. Diversity is wildly varied on as many dimensions as possible, differing origins, ages, assumptions, experiences. Diversity is when there's no such thing as a detectable majority anymore. So we also need to ask for permission, with the default being no. This is the nature of informed consent and enthusiastic consent. We need to focus on the many people who eagerly are sharing themselves and are enthusiastic about giving consent to be known more and serve better. There were plenty of people who would love to have coupons for the things that are happening in their lives. We don't have to be nosy in order to serve them well. We can ask some questions about what do you want in the future? What do you want right now? And would you like us to be really aggressive about giving you the best possible things for that? We also need to audit outcomes constantly. Auditing data is used widely in monitoring for discrimination in fields like hiring, housing. So the idea here is that you send in essentially two identical inputs. That might be resumes that are completely identical, except for one variation. For instance, a name that implies something about that person. And if you send in those identically qualified resumes or applications, whatever it is, the output, the decisions should be the same if the system isn't biased. Test our systems the same way. Did we find different outcomes? If so, there's a problem. Because remember, all we have is the inside of a really black box. There isn't anything to consult from the inside, which is why we also have to commit to data transparency and algorithmic transparency. And I do mean both. And this is the part that's such a hard conversation to have internally. So it wasn't that long ago that we had to fight for the legitimacy of open source in our professional toolkit. I remember those arguments. And we did push back and we were right to. We are professionals. We know that transparency is crucial for drawing insights that are genuine, that are useful. We can argue for increasing transparency because it's for a better product. Cleaner features, fewer bugs, stronger tests, happier users, public trust. These are vividly legitimate arguments to be making. And we need to do it because we build stuff that matters. This is gonna sound harsh, but Amy Hoy says if your product has to do with something that deeply affects people, either care or quit and go live in a cave and don't hurt others. We're hired for more than just a code. We're not code monkeys. We're hired as professionals to apply our expertise and judgment about how to solve problems. Our role is to be opinionated about how to make code serve a problem space well. When we're asked to write code that presumes to intuit people's internal life and act on those assumptions as professionals, what we can do is be proxies. Be people's advocates. Say no on their behalf to using their data in ways that they have not enthusiastically and knowingly consented to. Say no to uncritically reproducing systems that were biased to begin with. Say no to writing code that imposes unauthorized consequences into their lives. In short, refuse to play along. Thank you.


Hello and welcome to this video about BLE security with STM32WB. I will start by describing the basic security concepts in Bluetooth Low Energy. Then we will move to more practical part, where I describe the security-related API that is used on the user application side in STM32WB. By the end of this video, you will be able to distinguish various protocol layers inside BLE stack that are responsible for security. You will know the difference between legacy pairing and secure simple pairing. You will understand the pros and cons of various pairing methods, and you will understand the requirements and threats that can happen in BLE systems. In the hands-on part, we will get a real-life experience with the security features mentioned during the theory. We will start by creating a simple BLE application for STM32WB, and we will do that from scratch in the QPamex. The application is very simple. It can advertise. We can connect to it with a BLE over Android or iOS phone, and this project will serve as a code base for all the future tests. We will test most of the pairing methods, so JustWorks, Passkey Entry, Numeric Comparison, and Out-of-Band Pairing over NFC. And at the end, we will test also other features like bonding and authorization.