what's up guys this is alex from xtrades back to you with another weekly trade ideas list i post these every sunday and we also get a written report out for you in the watchlist channel so today we're going to be going over five setups um it's going to be four long setups one short and then we're also going to go over the indexes so we're going over the es-smp500 and q which is the nasdaq futures ym which is the dow and then the vixx and the dollar as well all right so let's go into our first one this is soxo so this is actually a 3x leveraged semiconductor etf so this will have like your you know nvidia amd probably like intel you know all weighted into this index um and then that's leveraged 3x so you can see we have a downtrend line um you got test one test two test number three breaks out kind of does a little back test right here um and you can see it closed with a really nice candle on friday um really good volume down here one could argue that this is peak volume so once it hit the bottom here you can see you know maybe institutions are starting to you know accumulate down here but breakouts are really nice um you'll be looking for a move back to this previous um this previous support right here so that's at about 10 53 so 10 dollars and 53 cents let's get our brush out real quick so we'll take our brush um we have probably a quick move and then you'd probably see some resistance right there very short term um so maybe a quick day trade let's get out of this real quick okay but you can also see you have a small gap right here as well so right click that pick the gap and you can see so yep that's it that's our little gap um if it can get over that 10 53 resistance there's a really good chance that um you know it can fill that small gap and then maybe go up to the um 12 53 or uh 12 13 resistance right here so yeah that's xxl we'd be looking at calls on this so this is a bullish breakout um bullish you know downtrend line break and then um chance to fill the gap if we can get over 10 53 you can maybe see 12 13 um stop loss try to add those just so you have something to go off um for a day trade you'd be looking at you know this low right here the little 848 um if you're doing a swing trade you know you'd have to have it under 52 week low which is usually um a good stop loss okay so then we'll go into our next one this is Verizon so take a symbol with easy you can see another downtrend line breakout you got one test two three test number four and you do have this 3770 um resistance right here and I marked it with the yellow so you can you know highlight the fact that this is a pretty important resistance level um you'd want to see it you know get over it break retest hold it and then maybe go higher so you want to see a breaking and holding over this maybe do a back test and then try to go higher so just like we um I pointed out on the ES last week we want to get over that october peak right and then we wanted to break out we wanted to back test then go higher and that's exactly what we did so we'll go into that we'll get into ES but I just wanted to compare the structures so looking for that um 3770 break looking for it to hold and you maybe see a move you know back up to the supply maybe even this little 50 EMA right there yeah so just using the supply and I'm moving average as a target if it can do better than that you know you'd have to start drawing in more supplies because there is another one right here and there's another supply right here um there's old support over here so but you know we're keeping it let's see what this um percentage would be so if you entered it at 37 you'll say like 3775 you're going to have to supply catching about a five percent move you know just off the equity um with options that's obviously leveraged so you'd be making a little more than you know much more than five percent depending on your expiration um stop loss on this let's see it looks like there's a little demand base candle right here so let's draw in our demand um you probably need your stop loss under the demand zone low and you can see over here that's a 3613 and then the top of the zone is you know 3669 strike this over a little bit so yeah the rear stop loss and like a day trade or if it went back inside the downtrend um that would also be you know I'll even add the brush down here that we're going to go look forward to there so if it you know faked out went back in the downtrend line um your downtrend break out would probably invalid so you'd want to go ahead and you know stop out but the good thing about Verizon um if you're in a swing trade there's a lot of cushion right you got a demand zone here you got a demand zone here um this is a rally base drop this one uh in the middle so rally base rally so yeah so you can see you just got you got two zones for cushion it'd be good for swing trading but day trade short-term trades you you know sometimes you need a tight stop so just watch those next we're going to riot so this is riot blockchain this is a crypto play on the stock market um another one that you know you could watch too is like mara it's a ticker symbol m a r a they have a little bit of bitcoin and ether holdings and I think they'd be like mining and stuff too but um usually a pretty hot um crypto play when crypto is running on its own markets um sometimes this you know will run for equities but you can see really nice falling wedge breaks out hits this nasty supply I'll even label it for you real quick so hits the top of the supply comes back down um and then holding a back test so this little hammer or bullish candle right here um you know it's a good sign that it is holding the back test and you'd more than likely see a move back up to the supply or probably try to you know reject around there if you could get over supply you'd be looking for it to hold over a break retest and then head up to this next eight um eight dollar and sixty cents area so yeah um short-term supply if you can get over looking for it to make a base off that off the top and then you know head up to the next resistance stop loss um for a day trade probably looking under Friday's low right there um pretty typical the or if it you know same thing with the other downtrend lines of it you know went back inside um you're more than likely going to get invalidated and or it could even spend time chopping around here back testing more before going higher so you know just watch that and um make sure you're making your decisions and you know taking good option contracts adobe so I really like this one um you do have the breakout you got test one test two um test three over here I didn't really see a rejection on the test but either way this is breaking the downtrend line right now having a little trouble at um is that gap resistance and also this daily 50 EMA that you see um if you wanted to get over the 50 EMA obviously but there's a really good chance it will fill this gap find resistance there and then try to you know come back down so um for confirmation though you want to see it get over this 330 58 looks like we'll right click that uh zone add alert and we're looking for the crossover um that'll give us good confirmation that's entering the gap um we would also know for a fact that it would be over the 50 EMA area so um you already do have the confirmed breakout but um we do want confirmation over that 330 level make sure that you know it's getting over the 50 and also getting over this little rejection point where you see that um strong wake and then you can see um here let's let me show you where I got the supply for them because it's not the cleanest on the daily chart but if you go to this this is a nasty drop based drop uh supply zone let me find this tool real quick so you got a drop creates a base drop and um you know your bullish base candles always supply so um you can see just nasty bullish base candles something changed here to lead to dropping and we know for effect that was this earnings report so that's all you're doing you're looking for an imbalance area up here you're looking for something that changed up here to lead to this event once the price returns back to the area you know for effect that you have an imbalance area that previously reacted so a lot of time you'll see sellers meeting up here algorithms institutional traders because they saw other people sold up here so yep so we're just looking for that gap look for 330 and then um stop loss you know this is a pretty big gap fill so this would be need to be a swing trade um mostly if you were trying to you know just catch a date trade and maybe kill a little quarter half of the gap um you would need to stop loss under this little structure right here that's like 316 um it'd probably break under that flush um per swing trade you know 52 week low max although that would give you a pretty big draw down so you want to be careful with that um maybe even use my suggestion of you know if it went back inside the downtrend you know you'd probably need to go ahead and exit so you know that the doby um over 330 looking for a gap fill the main rejection area would probably be this way to supply next we're going to cvx so this is a oil play um one of the biggest holdings in the xle so this cvx and xl both make up about 15 to 20 i believe of the xle etf so if you see these two moving it's most likely going to replicate the you know that's what pretty much makes xle do what it does um just because it has such a high weighting and obviously a lot of others you know have a big role as well but um in terms of looking the same as chars i'd say exxon and cvx do have very similar charts in terms of the energy sector so you do have this big rally beach drop supply it's just totally nasty let's draw it out you got a rally i'm getting locked here one second okay we have a rally creates a base drop to the downside so this is a rally base drop supply um this is its first test since you know ever making this resistance so usually the first area as a test is very good for resistance if we went down to friday you can see it once it got up here on the 15 minute time frame i mean just a nasty drop would have been a great day trade but obviously this supply is still valid so you'd be looking for more rejection i really like this setup for puts and i'll give you each setup just to go over it again um so we'd be looking for a drop maybe back down to this demand um that's pretty heavy price target if you wanted to be a conservative we could go down to shorter time frames so here's the regular trading hours um you'd be maybe looking for for a day trade um you'd be looking for that same low from friday the 28th so like 176 53 and then maybe um this little structure right here as well so that's like 174 to you know 172 there's a little bit of support there a little bit of resistance there um definitely support right here so you can see if it rejected supply come back down probably try to curl up there if it broke down maybe try to curl up there and also if it broke all of those it would definitely you know try to curl up about there so that's all you're doing just using structures as price targets making sure you're somewhat conservative um you know because you know shorting these hard rallies does come with a risk so obviously your stop loss is just straightforward it's just if it breaks a new 52 week high you need to get out so you'd be looking for puts on that so xoxl our first one looking for calls downtrend break vz um Verizon downtrend looking for calls riot falling wedge back test looking for calls adobe downtrend break um gap fill looking for calls cvx you do have that rally based drop supply you got resistance you're looking for moved down to 176 53 um maybe 174 175s and then 172 um you know because if you zoomed out to those little small one hour structures and we agreed that support there a little resistance there old support here so those are just some areas to watch for price targets next we are going to go into the ES so the S&P 500 last week um I'll even exit out of this favor real quick so I could focus on the area that we were focused on on last week so we were talking about this October peak right um it was about right here I think on the futures on Sunday night you know we're opening up right at the resistance um this was our main focus all week October peak we did get the breakout which is exactly what we wanted I said we want to see a back test um previous resistance to go higher we did that um we had some crazy earnings reports so obviously you see this huge week down there's a lot of negativity but apple is able to carry us back so um the back test did hold rally back up we made a new you know recent high so um but right now we are watching this downtrend lines we got test one test two we are at test three um so we either want to see it you know break out from here and head to our 200 EMA area um and that would also if we zoom out if we break out that would be heading to our next um trend line we see right there and approach how to reject about there um yeah so this is test number three is a good chance that you know could go back inside um maybe try to hold October peak again make a structure there we'll have to see um futures are only down about 0.2% right now so nothing crazy um there is a little demand zone right here this would be a little rally based rally zone um so there's a good chance even if it came down it would hold up there I wouldn't say that puts have the greatest RR yet um you still have a MACD crossover to the upsides you got positive momentum RSI is not overbought on the daily um I'd say the 200 EMA area would probably be a good area to reshort um but you know we looked at the seasonality and um you know it's looking crazy so here I'll even pull it up for us put a log in let's go to trying to find there we go all right let's go to the S&P 500 since we're looking at the ES seasonality we're looking at the 31st so Halloween hope everybody had a great Halloween weekend by the way went to a haunted house it was very fun all right and let's go up to is that November 4th I think that's the Friday all right um and you can see this is just a 10 year chart you know it does run up pretty well but we don't have midterm years applied yet and that's what I want to do so we'll go to that we're going to midterm elections if we go down I mean it's just a straight shot um so I would not be looking at puts right now the only reason why I like the energy puts is because it is a commodity and sometimes it does you know move a little bit different than your normal tech and other you know types of stocks so yeah so S&P 500 looking really good for a rally this week um just off the seasonality it does average a 1.31% return um this is midterm years of 2022 you know 2018 2014 etc so yeah let's ES um we want to see it you know either reject here for bears or break out you know I feel like each each week I've done this we've been at a serious inflection point last week we were at October Pete as we grew out of downtrend line you want to see it you know break over to head to the next downtrend line or the 200 or you see it reject head back down to the man you can maybe buy the dip there and last week was just amazing I mean our watch list was great um I even got to trade to the setups I got to trade QQQ a little bit we got to trade NVIDIA it was amazing um but all the setups hit pretty good JD was was an exception because it didn't hold our demand zone but it gap down so heavy that it gave a gap filled trade back to the upside so we still were looking for calls we just didn't get the demand zone to hold but um yeah let's get into NQ here so this is NASDAQ this is our tech futures let's pull up a head and shoulders pattern tool so we have a left shoulder we got a head we got our neck line resistance we got another shoulder and there you go so we got an inverse head and shoulders we're looking for a break over um 11,729 dollars and that's our resistance so we want to see it break over this downtrend line that you see make a new base off the neckline before trying to go higher um but yeah this this neckline can still act as resistance this head and shoulders is not confirmed yet let me repeat it's not confirmed yet head and shoulders it's only confirmed on the neckline break inverse head and shoulders same thing only confirmed on the neckline break and your neckline is the resistance so you got test one test two had a test three rejection this is actually technically the test four so yep just looking for the downtrend line break as well um as the october peak resistance which is also the neckline mac d's in a positive momentum signal um rsi is only halfway there not in any overbought territory if you maybe went to the one hour um rsi is pretty high so short term a little extended might need a breather make a structure um four hour not really overbought yet i'd say the four hour rsi is a pretty good indicator uh for overbought conditions etc so yeah that's the tech futures next the dow so this i feel like the dow like just totally saved us this week if you go to the performance it's only down 10 percent year to date um i compared to like es and nq i mean those are down boy like you know anywhere from 15 to 25 percent um so dow does i mean a lot of dow names carried i mean a lot of people rotated you know more into the safety plays i'm guessing um but we could see i mean just an absolute monster reek for the dow so you got test one test two um try to break out as a total fake out back then um and now we are getting back over that line so this is another inflection point um kind of similar to es but es is not even close to its all-time high to now um you know downtrend line if we go back you know it does have to get over this short term one first to get to that dow on the other hand is at the all-time high to current downtrend line so that's something to keep in note of um oh looks like i need to get charged plugged in here soon luckily um you know we don't have too much left to do here but yeah so we want to see you know either it's going to reject here um we make a base on the 200 EMA that you see dotted right here um but this all this is just an in balance area there's no demand until this little you know until these red days right here um in terms of one day daily time frame demand so you got a demand zone right here um we want to see some demand get created up here preferably with a pullback to another high um higher high but yeah so we want to see this holding the breakout if it can um maybe in the next couple weeks it could get back to 34 000 um i wouldn't say it's going to head there straight away though maybe about two weeks um maybe it could get here by the end of the year we'll have to see yeah hopefully the Dow can keep you know keep its strength up um a lot of the names you know did pretty good and maybe they had good earnings or something um totally just carried us this week so watch the Dow um positive MACD signal rsi is a little overbought this is why i wouldn't want to go long the Dow ETF which is DIA um this you know this signal right here you know it's just i don't know any pullback you know you can get screwed i'm pretty me i'm so so next we're going to the VIX we'll go into the data first and what makes the average so Friday we have a 2575 close that brought us up to 2626 for the um 2022 average close you can see that down here it's you know 26.5 259 so i just rounded it up um and then the app also you know rounds this up here uh my number's up so we can see we are below the 50 period EMA that i implemented on this uh we are below the average now too if we go to trading view here we're at the 200 EMA so the VIX there's a good chance it could try to hold up right here um right now with the VIX at the average you're getting average you know price premium so you are getting value on premiums they're not too expensive um and they're not too cheap yet either but the next move for the VIX you know we did say we're looking for the 35 reduction and a mean regression back to the average we finally got that but now since we're in the middle we're going to want to see it stay under this average um that'd be good for bulls um or we want to see another close and start heading back over it for bears uh but based off the seasonality you know there's a good chance that um we are going to rally and that might make a lot of people mad but um wall street is wall street so all right so we want to see a move maybe back down to 22 64 um this is just a weird spot this is the spot where you're waiting um we're gonna either wait for it to get all the way down here and when puts get way too cheap we rebuy puts and wait for a mean regression back up um or you want to you know get it up here and wait for the mean regression back down um this is more like a middle point so you're kind of waiting to see what happens here but um if it does stay under you know let's get for bulls if it you know stays over you know there's a good chance that people are trying to reprice in volatility so I would have also brought our trend line last week and that's exactly what we're looking for and same with the dollar we were looking for that short term um uptrend break which it did you can see test one test two test three broke it which will take us back to our longer term which is what we also went over last uh sunday so same thing um I'm not feeling good about the dollar selling off until this is broken um so you might see it come down try to curl up off the line um if you're a bully you're gonna want to see a breakdown you know curl back up a little bit um or just sell straight off we want to see more aggressive selling on the dollar um next level for the downside would be 107.68 um otherwise if it's holding this trend line you know we could see it come back up and test highs again um maybe even just this little short term peak right here but like 113th um but you can see I mean the dollar is uh has a negative momentum for the MACD um our site isn't oversold yet and it's crossing back down 40 or to the 40 area um so that could be good maybe currency traders are starting to price in you know inflation coming down and equity is being able to have a run so yeah that's everything guys uh we had four longs so four call setups one put setup went over our indexes and um I hope you all got some clarity um last week's was amazing I hope it goes just as well for you guys and for myself and um yeah I'll see you guys on Monday if you guys need anything just reach out to me thank you so much and uh username is alexander underscore 96 on this court thank you


So our app is called DroidJuice. So we have created an Android app that actually keeps tracking your battery performance and then pushes the data to the cloud. So we have basic service running. The user can say like what frequency the data can be pushed and then you have a unique URL based on your Twitter ID which you can share publicly. So this is how actually it will look like. If a person is trying to reach you and he's not able to reach you, you can just go to this URL and find last known battery status. So if the phone got switched off just because of the battery it can be pretty sure that you are safe. So this is one part of the app. The other part is the analytics that we bring in with the collected data. So we collect like a couple of device specific stuff like the model number, the manufacturer and based on that we plan to have a leaderboard source. So we will also like in future get like what were the apps running every time we have a ping request. So based on that we will have a global leaderboard with the model number and the apps and stuff like that. So we also have like a juice rank which is like based on the rate of decrease of the battery itself. So we calculate that. So with this rate of decrease you can actually see the comparative analysis between okay let's suppose users of your app is actually using Nexus. So then they can actually see you know what among the users of Nexus your mobile has lined up in so and so 10 hours but your you know so and so users mobile has lined up in 14 hours or so. So then there is probably something wrong in your phone that you might want to look on to. So these are the two innovative ways that you see that we try to do with your battery status information. Number one is the flipping of the user situation wherein your favorite contact tries to reach you and then you know he has no clue about what has happened to you. So probably your mobile has gone out of the battery status. So that is one thing wherein we are trying for the user happiness or trying to provide him with some sort of information so he is not worrying or wondering about what is happening. Second is the analytic spot wherein we give this data. So like we also thought like what if we keep sending internet I mean data over HTTP because people when the threshold goes down people usually switch off the internet. So we thought like at the last moment you trigger an SMS that actually would say that the phone has reached 5% so anyhow using the URL people can know that the phone gone down just because of the battery. All of you in the team right? Yes.


Hi everybody Joe for Jasper's case breaks comm with our last filler break to unlock that Yanis Mixer, which is coming up next in a separate video But first the break 2019 2020 status at basketball team all one box ram team break number 22 We're gonna do the break itself first and then at the end we'll re-randomize with the new dice roll top four is in Big thanks everybody here for getting to the action and there's all the teams right there. Let's roll it. Let's randomize it Four and a four eight the hard way Just just for names and teams just for the break two three four five six seven and eight Not only that Joe backs and ML basketball and football too Big news four and a four eight times for the teams one two three four five six seven and eight That'd be pretty awesome. We pulled a Yanis out of this team all box two wrecks I'm sure the person has the bucks would not mind that All right, here's the first half of the list here And there's the second half of the list right down there Thanks everybody for getting in and Trade window closed. Let's just print and rip. All right. Good luck There's the box Good luck. And here's the final Final printout right there Yeah, Rex. Yeah, you did get the grizzlies this. This is the John Morant Yanis John rant Zion year that is Yanis is the the break that we're trying to fill or that we're gonna fill Are they checking the um, we're why they got the Little League World Series on the background our local team Torrance, California playing up eight one on New Hampshire right now and I wonder if they're checking the these kids for sticky stuff and their gloves. Thanks Michael Robinson All right, good luck. There's will Barton kind of hard to see the names against that that font there There's SGA Pink parallel Jordan pool new beginnings Callie Aubrey, Jr. Darius Garland new beginnings pink LeBron James and we had a Devante Graham autograph nice 18 out of 25 renowned Autographs that is for Revital and the Hornets PJ Washington, Jr. Here's a Camretta's rookie card for Steve and the Hawks make Kendrick none rookie card for Bennett and to heat Oh nice Rex. You got your father's a pack from today and Zion base. It's not too bad 14 out of 49 trophy club That's a Patty Mills for the Spurs Bennett. There's Patty Mills again Achimura Steph Curry Trey Young Kobe Martin and upper echelon Anthony Davis All right, so no John Marant no Zion in this box But let's see who's gonna win spots in that Yanis mixer. Let's get everybody's names here New dice new list and Fingers crossed because it's only the top four Only the top four getting into that mixer coming up in a separate video Good luck Let's roll it randomize it one and a six lucky seven times top four after seven One two three four five six and Seven and final time after seven Thanks everybody for giving this a shot after seven Only the top four so from five on down Sad times, but thank you for trying. I appreciate it Happy times though for the top four you're in and you have a shot at the Yanis rookie card Revital you're in Bennett you're in Cody you're in and Bennett you're in got two of the four spots Congrats to Bennett Cody and Revital will see you for that mixer in the next video. Jasper's case breaks calm


We're excited to talk to you about big data because we're undergoing a revolution in the way we can use data to imagine the world that we live in and to have conversations about the changes that we see coming in the world. And I want to go back to 2009, when Barack Obama was inaugurated, because this fairly famous picture of the inauguration is an excellent idea of very early big data. That single image wasn't just an image. It was an interactive medium, something with more than a billion pixels that could be explored. And in zooming in to President Obama, you're able to show the places you care about greater detail and attention. And by exploring it, the person driving the interaction was able to become more in touch with the image, more intimate with the data. Here we see Michelle Obama with President Abraham Lincoln's Bible, the original Bible of Lincoln, which is quite exciting for us to be able to find in the picture. Our relationship data is changing because the interactivity we have now is due to new advances we have in storing information, in being able to use graphics processors on computers to make this possible, and on being very smart about using internet bandwidth cleverly. The ability to do this to a static image has recently been supplanted by the ability to do this to any moving image. So for instance, now I can take the question of biology of plants and present to a biology student plant behavior in a way that was not possible even a few years ago. For instance, I can take a billion pixel picture of Brassica rapsis every 15 minutes for a month. When I do this, then the student can zoom into the plant at 15 minute intervals seeing the plant growing. It's a time lapse, but it's a time lapse with an unbounded amount of resolution detail behind the time lapse so that the learner can watch the plant falling over and trying to get up. And they can see gravity at work and circumnutation at work as gravity and light fight an epic battle for the plant's future. Fundamentally, the fact that we can take now any exploration through space and time of data reveals to us the possibility of thinking about data very differently than we did 10 years ago where we had to put it in a table and look for trends over time. So we can do this in the very large case as well. One very nice example, our own sun. We think of it as a yellow ball in the sky, but the solar data observatory that is circling the sun allows us to look at the sun again with nearly a billion pixels per frame of resolution and see it rotating. But we can do more than see it rotating. We can interactively zoom into the sun and watch the actual processes on the surface of the sun. So for example, we can look at small coronal ejections on the surface of the sun. And again, by doing this, we take the child who's learning astronomy and we give them a new appreciation and understanding of the sun itself. One of my favorite things to do with this image is to show the origin of a solar flare. If you go in this particular day of sun data to the right spot, you can see the beginning of the coronal ejection inside this deep rift in the sun. So take a careful look here and you'll see the plasma starting to eject. And as it ejects there, you'll see it follow down the rifts and eventually end up as a solar flare. And as your children would enjoy knowing that solar flare is much, much larger than the planet Earth. So it's a good thing we're so far away from that particular body. Now the idea that we can show data and interact with it through space and time applies to any quantitative data source, even ones that we were not made with a camera, like this, but were made in simulation. One of the interesting questions that cosmologists have always faced is what are the gravitational lines of the universe look like? And how did we go from a homogeneous Big Bang to a very heterogeneous set of gravitational lines? And for the first time in the last few years, we're able to take billion pixel supercomputing simulations of gravity and show the formation of galaxies, star clusters, and superclusters. The reason this is interesting is because the same cosmologists who could only look at this quantitative data analytically using tools like MATLAB and Excel can now visually understand the data. This is important because when you're talking about trillions of pixels of data, and by the way the green circles are black holes forming, the white dots are solar systems and galaxies. When you think about the best, most efficient technique we have for taking billions of pixels of data and providing them to the human body, the most efficient technique we have is our eye. It's the best possible input. So the fact that we can take any data set and create from it quantitative information that can be visually intimate to us is a new revolution that we have in our understanding of the Earth itself. And when I take all the data sets that we have on Earth and consider the ways in which we can apply the same techniques to understanding Earth process, well that's where our conversation with you begins today. This is a beautiful picture of lights on the Earth at night, but it's a static picture. And what we do now doesn't need to be static any longer. So this satellite is showing you all fires across the planet Earth over time. So you can zoom in, for instance, in Saudi Arabia interactively, and this is freely available on the internet now. And you can see oil extraction flames. You can see Bakken and Marcellus crude oil extraction frames in America where drilling and mining operations are causing flaring. You can take any amount of Landsat information over the last 30 years and composite it to create interactive demonstrations of mining, of valley mining in Australia. These images over 30 years allow us to see human processes at an Earth scale and allow anybody to interactively see that, mountaintop removal in West Virginia. Here you see farmland becoming a massive shale gas field so you can see urban development. Here you see Lake Ormia in Iran disappearing because of damming here to create agricultural land during a drought over the course of 30 years. These are the kinds of changes that big data visually can enable for us. And to show you one very important part of this, which is deforestation, I'm very happy to present Matt Hansen. Thank you, Rila. So my theme that I'll be talking about is one application of using Earth observation or satellite imagery to track a particular dynamic, and that is forest cover change. And this is a similar sequence of images that Rila just showed from the Landsat sensor. It's been up in orbit since different versions of it since the early 1970s. And here we are in Brazil. In 30 years of record, you see fine grain deforestation pattern occurring in the appropriation of rainforest converted to pasture land and row crops. Initially, a lot of these clearings are very fine-scale colonizers from the south of the country coming up to establish a very modest kind of subsistence lifestyle. And when we look at this pattern in Rondonio, this is the famous fishbone pattern of forest cover change by individual landholders. Later on, we start to see big clearings in Madagrosso, which are related to agro-industry, big soybean fields, big industrial cattle ranches. And as we zoom out to the continental scale, we see this what we call the arc of deforestation along the front of the Amazon rainforest, going from the coast up in Pará all the way around Madagrosso to Rondonio and Acre state. And this is just an incredible record of human change on top of a landscape. And the biggest thing that I want to convey is how do we move from this type of data to a thematic output? And so I'll scoot over to this picture. When we show the time-lapse sequences, those are raw pictures. They're images. And we need to turn those into quantitative estimates. For example, when you look at the changes across Acre state in Brazil, how much forest was lost? How much forest grew back? And we have to have very clean inputs of imagery to turn that into a biophysical estimate of forest cover. And this is an example of a cloud-free global image using big data processes where we start with a million images, filter through all of the images, throw away the clouds, throw away the smoke, and try to examine only the land surface, and by tracking the really good pixels of the land surface, we can turn this into a measurement of forest extent and change. I want to say very importantly that big data and its use for societal good is based on really progressive data policies. The Landsat sensor has 40 years of data in the archive, and it's available to anyone on the planet. So I can make my maps, European Space Agency can make their maps with Landsat data. It's very important that providers have this type of mentality where they're tasking these instruments, storing the data, and then letting the data free. If we do that, we can kind of engage everyone from civil society to private industry to government to come and look at the data and come up with a consensus understanding of what's happening to the planet. I can't stress that enough because we move basically from research playing around these data demonstrating different capabilities to operational records. And I would like to you to picture having 50, 100 year records of every patch of ground on the earth. How often was it planted as soybean? How productive was it? How long has it been a city? When was that turned into a pervious surface? How much does it flood? And we have this capability right now, but it does depend on technology, it does depend on progressive kind of visions of data. Anyway, so we start with a million images. We can take this clean image and time series of it and turn it into a biophysical product. So here we have in green tree cover that didn't change over a 14 year period. In red, tree cover that was lost. If it's red, it's deforestation largely. Blue is gain, which means trees were planted or they naturally re-grew. And if you see pink, it's both. Pink is both loss and gain. So these are forestry land uses typically, where trees are treated as a crop. So over time, we see the trees coming and going. We might see the trees disappear and never come back. Furthermore, in the time domain, we can disaggregate this to a trend. So we look at the colors now. We're looking at only forced loss in this color bar of yellow to red, with blue highlighted as this past year. And we can see big fires in particular years in the far north, a boreal forest. We can see different reds and oranges, meaning more recent clearing of Chaco and Argentina. And one of the big findings of this particular dataset, and it wasn't a finding, it was a confirmation of what we know, was that the big deforestation country, Brazil, actually through a policy initiative that included civil society and industry and government, slowed the rate of deforestation starting in 2006 to the present. Just went down by 70 to 80%. And in this color bar, you can see the yellow colors dominate. The yellow colors are in the first five to six years of the period. And that's what we see in the arc of deforestation. This is the only, really, policy intervention in terms of slowing deforestation that we have to date. They get a lot of credit for this. And in fact, the proof of their policy success is the satellite record. Nobody can refute that. The other side of the coin is that all the other countries in the tropics combined drown out Brazil's signal. So increases in Chaco loss, in Argentina, Paraguay, Bolivia, Tanzania, Angola, Miumbo forest, Insular Southeast Asia, Southeast Asia, all of the Southeast Asian countries, deforestation, forest cover loss increasing over the same time period to the point that it drowns out the Brazil signal. It's a statistically significant increase in forest loss in the tropics. But again, this record lets us track that. And if we're going to make a policy intervention or whatever, we can measure the excess or otherwise of that policy intervention. We'll zoom into Indonesia to take it down to another scale. And one of the things that we like about the satellite is that it orbits the Earth. It is calibrated consistently. So we have a globally consistent picture that we can make comparisons apples to apples of what's happening. But we can drill down and look at individual countries, even parks, and say this is what's happening at a local scale. That's another really powerful part of this big data story. If we look at Indonesia, the beautiful cloud-free composite, this is raw imagery. We turn the raw imagery into the tree cover extent loss and gain picture. And you can see the forest land use transition in Indonesia going from west to east. You start in Sumatra, Kalimantan, Portion of Borneo, Sulawesi all the way over to Papua. Sumatra is the most mature stage of forest appropriation and conversion to higher-order land uses, largely palm estates, but also forestry acacia plantations. They have five-year cycles on some of these acacia plantations. So you look at Sumatra. It's almost done. There are a few protected areas left. Borneo is in the next stage. By the time you get out to Papua, it's only logging roads. Logging roads lace the landscape. And agro-industry is just starting. So this is like a nice little demonstration of humans taking a natural environment and converting it to a more higher-order economic purpose. This is the annual forest loss. And when you, again, track annually in 2012, from 2000-2012 after the fall of Saharto, there was a decline in forest clearing that increased all the way through 2012 to the point that Indonesia cleared more primary forest than Brazil in that year. And they have a quarter of the forest of Brazil. So they're going in opposite trends. Brazil's going down. Indonesia's going up. Now we're going to look at what two countries are on the island of Borneo, Malaysia, and Indonesia. Here's the image. Here is the green tree cover, red loss, blue gain, pink both. And as we look right here, we see a very clear line. This is a transnational boundary effect. So you see economics and policy and governance very clearly in the satellite image across administrative boundaries, whether they're parks within a country or between two countries. This is the border between Malaysia and Indonesia. On the Malaysian side, intensive conversion of lowland forest to palma states and like. And then as you go up into the more interior high topography of the interior Borneo, intensive logging, then you cross into the territory of Indonesia and it's mostly protected areas. And this is very useful information to understand the use. And then here's the annual change. And so basically the point is if we have progressive policies, if we have good observational data sets, and I like to describe these as public goods, you know the GPS that we all use, what if you had to pay every time you used one of those signals? It would be very low participation, right? It's just there. And the GPS spun out this huge suite of industries. And earth observation like weather satellite should be in the same domain that we have regular publicly available time series. And the value added comes in their use and the characterization of land dynamics and the downstream applications of understanding what it means for carbon emissions, what it means for development and human health. And with that I'll just pass it back to Illa to show an example of urbanization. Thank you. These same tools as you can see from the way that Professor Hansen speaks are powerful when the visualization is coupled with narrative, with storytelling by somebody who is a content expert. That's the critical bit here. How do we create big data products that are highly interactive but mated to strong content knowledge so that everybody can make sense of the information and become active participant in civic discourse? Now the satellite imagery that lets us see deforestation lets us see many different effects. And here's just a prelude to some of the different kinds of effects that you can see when you do earth time lapse. One example here, Shanghai over 30 years, lets you see land use and the changes in land use from farmland to urban land areas. And again, this allows you to understand both scale and categorization over time. Lights at night let you see places that have developed massively greater electricity infrastructure in the last 20 years, red. And you can see that the whole area we're in has seen a very significant increase in electricity usage and urban infrastructure. And now I want to present to you two other very different techniques for big data visualization. When we create time lapses from an earth view, you're able to appreciate changes on the earth over time. But we can also use the same graphics tools, the same computer vision tools to take many, many dimensions of data in human behavior and make them visualized over time. One interesting example is human commute patterns, the way we move from home to work. And an example here that I present to you is an example just for the state of Pennsylvania. These are every commute of every car in the state of Pennsylvania. But what the visualization allows you to do is it allows you to visualize everywhere people work and everywhere people live in the state. But then by animating between those two points and giving you the ability to zoom in and out of the image, you can start to see patterns in agglomeration, patterns in behavior of how people live and work. And by color, I see income level. Red here represents low income jobs, green represents high income jobs. So you can start to see the way people commute in terms of the suburban lifestyle that they have, the amount of carbon that they release in going to work, and the number of locations they work at. And the low income consumers, in fact work in a highly disparate set of places, those are the malls, whereas the high income workers work in the financial district in the city center. So these are animation tools that can literally take trillions of pixels of data and push them to your screen at the same time so that you can start to see patterns and trends that were very difficult to understand non-visually before. Demographic data writ large. Demographic data about all of us is a very big challenge. There is 50 dimensions in the US census, everything from gender to how much money we each make to the education level we have and what type of work we have. But now we can take the exact same tool that lets us see landsat images on the earth and we can visualize arbitrary demographic data. This shows all census data for the United States. Red represents high income jobs in housing blocks. Green represents low income jobs. So right away you can see disparities in wealth across the United States. But if you zoom in and play with time, because remember we can go back and forth in time, for the city of Seattle, look where is green and where is red. And look as we slide time at how the green is overcome by red, that's gentrification. That's why people working in low and middle income jobs in Seattle have to drive for an hour to get to work because they can't afford to live near their workplace any longer. Now if I do the same thing for Detroit, Michigan, that area has had a 10 year recession. And when you play over time, the same transitional video, there is no change in gentrification at the block level. Because Detroit has had a recession for 10 years, so there has been no conversion of wealth. These are the stories that you can create demographically, but the real power comes when you add more dimensions. We can take the wealth picture, green, low income jobs, red high income jobs, and I can add race in the third dimension. So let's add Hispanic race, proportion of people who are Hispanic country origin. Now when I take the map and manipulate it in three dimensions, the spikes I see, the peaks, are where Hispanics live in the United States. And what color are they? They're green. That's bad news. There's a very strong correlation between density of Hispanics in this example and lack of wealth. I can do the same thing for Asians by going in the US census data to all Asian demographics. And what you see is completely different. The spikes that you see developing are on San Francisco, Seattle, and along the eastern coast. And they're red, which shows you a high correlation to wealth. And for a depressing picture, choose African-American. And then what you see is massive densities of African-Americans dispersed throughout the east and the southeast, but with no wealth, except in Washington DC. What big data manipulation buys us is the ability to change the relationship we have to the data because we can ask the questions we could not have asked before and visualize them. I'm gonna take all that data that was on the map now and simply put it on an X, Y axis instead. The same tool. I'm simply not using the map anymore. Now I'm showing you male-female ratio along this line and number of jobs along this line. And I've scattered all possible jobs onto that line for every housing block in the US. And if I zoom into that, what you'll see right away in green is it's centered at 50-50. That is the places that have the most jobs. Half of them are men, half are women doing the jobs. But this red is still African-American. I didn't change the color code. So what this shows you is it's well left of the middle. Why? Why are there tens of millions of more blocks with women working than men in America who are African-American? Because of the incarceration rate. We have so many African-American men in jail or out of jail that have difficulty getting a job in the US that we have a massive bias toward female employment in the African-American community but not in the non-African-American community. Those are the trends that we can see. Now, as scientists, as social scientists and as demographers, these trends are powerful. But the real power of big data with my last presentation part comes when you add narrative and social sharing. Here we have a community in Pittsburgh who has a Coke plant. This is a Coke oven that makes a coal into Coke for steel mill operations. So they have one in their backyard and they have major health problems with asthma and lung disease. So they have their own gigapixel panorama taking pictures every 10 seconds all the time, 24 by seven, on their own webpage. Mated to that, they have real-time wind speed. They have real-time reports from the federal government of air quality in their neighborhood, as well as three of their own houses. So you can see real-time PM 2.5. And they report their own smells and asthma attacks. So they've taken big data and created an interactive site that allows governments, municipalities, and the public all to take the same data as Matt was saying and use the same data as ground truth to understand the health consequences of local industrial action. This empowers the local citizenry because now they have the ability to be at the same table with municipal leaders and with industrial leaders together trying to solve a problem by starting with the common ground of the same language. And that language is interactive big data.


أعوذ بالله من الشيطان الرجيم بسم الله الرحمن الرحيم والصلاة والسلام على أشرف الأنبياء وأعز المرسلين حبيبي إله العالمين أب القاسم المصطفى محمد وعلى آل بيته الطيبين الطاهرين المنتجبين واللعن الدائم أجمعينا مللعان إلا قيام يوم الدين أمين رب العالمين في نام الله يشهد أمرسفه أعوذ بالكبر بيته الطيبين المنتجبين والدائمين ونبدأ في نامه ونقومن بقوم برحلنا بشكل محمد ويصبح ورحلنا برحلنا بشكل محمد ورحلنا بشكل محمد وصبح المحمد أمينا رب العالمين أمينا رب العالمين أبدأ بالنسبة to the greeting of Islam السلام عليكم ورحمة الله وبركاته وبركاته وبركاته كما نبدأ our journey during the nights of شهر رمضان المبارك the blessed month of شهر رمضان in our third episode in this series as we are discussing إن شاء الله the prophetic sermon that was delivered at the end of the month of شعبان marking the beginning of رمضان and marking the merits and the فضائل of رمضان in the previous episode we ended on a note and إن شاء الله we will continue in the previous episode we mentioned a lesson that we can learn which is the immortal message behind the immortal message of رسول الله صلى الله عليه وعاله and his household peace and blessings be upon them and we made points we said how this خطبة is studied year after year and how the magnificence of this خطبة never ceases to amaze the listeners and the readers and we said the same way the Qur'an never ceases to amaze the listeners and the readers at it almost periodically no matter how much we read the Qur'an no matter how much we read the Ahadith there are lessons for us to be learned and we said this is an important note for us in our communities to take heed of this matter that in the bigger picture and the external picture our communities have neglected the Qur'an and the Ahadith and then in the picture within ourselves if we wish to call it that we have neglected the practice of writing and reading and comprehension and pondering when it comes to the Qur'an and when it comes to the Sunnah and we stated near the end as well we gave some some tips and tricks on how we should approach the month of Ramadan by taking a notebook writing verses of the Qur'an and taking in commentary of the Holy Qur'an and reasons behind the revelation of certain verses or merely opening a book of Hadith and taking from the Sunnah lessons and we said for example one can begin with the Kitab Al-Kafi as an example and read the narrations in the first chapter concerning the intellect you know and the intellect sorry the first chapter which deals with intellect and ignorance and so on and so forth before we begin and because we said there are two lessons that we wish to talk about or wish to to mention before we dive into the khutbah itself so the second lesson we did not mention yet and we will mention today in sha Allah but back to the first lesson there are some instances that I wish to narrate to you guys of course and that I did not that I was not able to to narrate and I did say for example and I wanted to prove some of this and prove the fact that the traditions that we have this Torah that we have the heritage that we have of Al-Muhammad عليه وسلم whether it may be the books of usul the books of manakib the books of law the books of history whatever it may be we mentioned that these these books were not handed to us with a bouquet of flowers and a box of chocolates the this literature was passed on to us through blood and blood was sought for and blood was was seeped because of this literature and because there are people who are the companions of the imams and the prophets for example and after that just in general those who lived even during the times since the last 200 to 400 years you'll find that the Shi'a and the scholars of the Shi'a the protectors of this grand grand faith the Shi'a Faith the Shi'a Creed have been dealt atrocities and have been dealt crimes beyond our beyond what you can imagine you know and of course we know the imams of course faced all of this as well is for a fact that the imams faced all of this it's the reason behind their death the reason behind their death and their mortridom which was because they did not stay silent in face of the tyrants and the oppressors and they spoke the truth even though it dealt to the sword or to the poisoning of their sacred self as an example right just to show you how grand these crimes that were committed by the so-called leaders of Islam which when we say خلافاء we generally mean the خلافاء however you may count them from the first خلافاء from the predecessors all the way until today خلافاء خلافاء we are using it in a general sense whereas الخلافاء الأصليين والخلافاء الراشدين والخلافاء المهديين الهاديين هم الأمة الإثناء عشر من آلي بيتي محمد The True Caliphs The True Rightly Guided Caliphs who are guided by الله سبحانه هو تعالى and who they themselves are guides are of course the 12 Imams from آلي محمد عليه وسلام starting with علي ابن أبي طالب and ending with المهدي المنتظر عجل الله تعالى فرجه الشريف These are the true Caliphs when I say خلافاء The True Caliph but of course when I mean الخلافاء You know دولة الخلافاء The government of بن العباس The government of بن أمي then you'll see truly the crimes that were committed the crimes that were committed against who against the writers and the transcribers of history and of those of those individuals were شيع it is it's almost agreed upon you can almost say that some one some or if not the first you know according to what say مرتضة الصحيح من سيرته النبي سيه جعفر مرتضة عملي حفظه الله ورعا reports generations that say that عبد الله بن أبي رافع The son of أبو رافع who was a مولا a servant of رسول الله صلى الله عليه وآله ومن صول الله فريد in a very close campaign of رسول الله the family of أبو رافع were very close to the fam to رسول الله صلى الله المميين عليه السلام these are individuals from the صحابة that we do not focus on unfortunately individuals that are held in high magnitude individuals that are held in high regard who who are the protectors of the sunnah right орبت الله بن أبي رافع The son of أبو رافع as an example I'm saying this as an example I'm just want to show you I just want to bring that claim you know when I said that were crimes crimes committed against عندما يريدون أن يخبروا أصلاحة رسول الله في رسول الله . هذا الرسول الله ، بياغرفة رسول الله و رسول الله صلى الله عليه و و kidding his conquests and the wars that happened during that time of the prophets صلى الله عليه و و آله خبارنا تجد مجال جيد جيدا للمجال يتنقذ على جال بني أميه أو أي شيء that shows the truth , and whose high regard was disregarded which is an issue , ونرد الدتائة خ chiف ؟ but going back to Abdullabbi Abay-dallah من عبنه ابيرافر بل كما قلت إذاه الصحيح من صيرة النبي أسيجهافر مرتضة العاملين حفظ الله ورعى يكني رأيت الغالب . يكني تكني تكني و يكنيه يكني and he mentions all the sources by the way I'm quoting سبقه . يكني تكني أن محانب من محانب يمكن ساvor أن يكون الخاص بصرف سيرته . سيرة النبي. يعني الحصول للمعجب still. رسول الله عليها وعليها حساسا بسيره النبي . كل الأمور التي تفعلها في المدينة وحصولها في الإسلام في العالم. لأن رسول الله هو الإسلام. أول شخص يقوم بعمل سيرا أبو رافع. أبو رافع مباشرة ومعنى. وكانه كبطي. لأن أبو رافع كان كبطي. كانه كبطي. ثم يقول. ويقول. وإن الضريعة على تصانيف الشيعة. أغابرزك الطهراني رحمة الله عليه وبركات. ويقول. وكانه أول مسلم بقراءة في مغازي ونصير. كان هو الأول يقوم بعمل بقراءة عن مغازي ونصير رسول الله. يعني ماذا؟ انها據بسية وباياغرفة ونالطبائياغرفة وباياغرفة.. وقاسية رسول الله. So that just shows you. That somebody like Abu Rafiq had that knowledge of رسول الله's history and his conquest. و شخص like ابن عباس would come to him and seek knowledge of this now going back to this حديث that I want to narrate to you found in the book زبير ابن بكار زبير ابن بكار was a historian and he is a descendant of زبير ابن العوام and he is a scholar a sunni مخالف scholar who was also ثقة ادار قطني says he is ثقة and he lived in the time of ابن عباس so basically he was a scholar of the as we say he was a scholar of the the empire at the time of ابن عباس he has a book called الموافقات الموافقات and page 222 he reports the following incident he said سليمان ابن عبد الملك came to Medina for Hajj on the year 82 after hijrah he ordered ابان ابن عثمان to write the seerah of the prophet and his conquests ابان said to him I have transcribed it and I have authenticated it from someone who might trust from somebody who I trust سليمان then ordered 10 كتاب 10 individuals who know how to transcribe and copy books 10 writers to copy it and then they copied it on a parchment when he received it he began to read it see this is this is this is the part that's important he noticed in it that there was the accounts of the Ansar and the accounts of the اقباتين the two bayats the two pledges of allegiance in the عقبة and the accounts of بدر so he started reading it then he said never have I stated that these people have merits either my family held contempt towards them or that they did not have this merit he was angry about he was anger he was angered that there was this merit when it came to the Ansar and what else was in the books of history when he was reading it ابان responded he said يا امير او كماندر it does not hold us back it does not hold us back what they did we state the truth they are as I described in this book of ours this is the truth that I described in this book of ours in this book that I have that has been passed down to me سليمان then said what use do I have for this book until I mention it to امير المؤمنين he says and he might disprove of it and of course by امير المؤمنين here we mean عبد الملك ابن مروان he said he ordered it to be copied so he copied it and then he burnt it okay now we don't know why he burnt it yet but watch the hadith will show will tell us why he burnt it then he returned and informed his father عبد الملك ابن مروان about the book and his father was furious he said to him what is the use of you presenting a book that has no merit in it for us it will inform the people of شام of matters that we wish them not to know سليمان then said and it is for this reason that I ordered that this the books that were copied to be burnt so this is عبد الملك ابن مروان عبد الملك ابن مروان's principle is that if it has فضائل البن أمية then it is kept if it does not have فضائل البن أمية and it has the فضائل of others because he said he clearly says he says and really وما حاجتك أن تقدم بكتاب ليس لنا فيه فضل تعرف أهل الشام أمورا لا نريد أن يعرفها what's the point of having a book a book that the people of شام the residents of شام will then know stuff about us that we do not wish them to know because my dear brothers and sisters ignorance ignorance is our greatest enemy so you see the books that had the تاريخ النهيس توري النسيرة were burnt you know and this is just one example this is just one example you would have to go and look at the followers of the of the أهل البيت عليهم السلام and the books of رجال and we see the likes of of جابر ابن يترجع في for example and his and the way he was he was he had to run away from the صلطة and the companions of the Imam's for example and the books that they had and the books that were burnt and the books that were lost my dear brothers and sisters this سنة this سنة of رسول الله صلى الله عليه و آله and the Quran and the we love the Quran the تفسير of the Quran this literature that we have this heritage that we have mind you about them sisters it is not to be taken for granted it is not to be swept aside you see for example the crime this is one example that I wish that I wanted to bring go back to the books of سيره go back to the books of رجال go back to the books of history go back to the books of the autobiographies the books of رجال and the books of history go back to this go back to تاريخ سيره and so on and so forth go back and you will witness this yourself you will witness the crimes that were committed you will see the اتحاد ضد أصحاب الأئمة عليهم السلام the austerity and the pain that they faced the affliction that they faced and yet still they stood with their heads up high and they delivered this literature through blood through blood and through their lives many lives were lost many lives were lost so my dear brothers and sisters and I think we're running very short we're running very close again to to the end of our discussion our third episode and we haven't yet touched upon the second line of wisdom that we ought to take from the خطبة yet subhanallah look we haven't even began speaking about the خطبة but then you'll see just from the حديث itself before even beginning the حديث there are so many lessons to take now imagine we haven't even begun because that's why I even feel that I want to be able to even go through the entire sermon by the end of the series and this سيكون سوف يستخدمه حتى على مستقبلاتي إن شاء الله 14 to 15 أبسوطs إن شاء الله فالله سبحانه وتعالى جزمي المقاومة والقاومة I'll be able to do more إن شاء الله for your benefit of course and for the benefit of all إن شاء الله so my dear brothers and sisters on that note إن شاء الله we wish to come close to the end of this segment episode 2 segment or now we are episode 3 look I'm even I'm losing it I think it's getting to all of us by the way being at home الحمد لله الله though there is almost a blessing you can say being at home maybe this this this being at home will give us more time to to focus on the Qur'an إن شاء الله will give us more time to focus on المحمد عليه will give us more time to focus on the أعمال that will come up إن شاء الله many أعمال many sacred أعمال that sometimes we are not able to do and now for example for those either that are working from home or those who are now laid off from work for example إن شاء الله you all be able to be bestowed upon by Allah sustenance and grace but as an example I used to take an hour from my time to just drive to work and come back and and I feel that I've saved an hour every day if you take that into the whole take the whole week into account that's five hours in one month I've saved an entire day day's worth of time and it's important that we do not let this time go to waste and the message behind the last two two episodes do not neglect the Qur'an and do not neglect the sunnah they are both weighty and they both hold weight and they both hold magnitude you need to read the Qur'an with the sunnah you need to take lessons from both in order that you succeed in life إن شاء الله أحاديثة في أهل محمد تلس that for you to be loved by Allah the حديث here says the حديث is from رسول الله peace be upon him and his family رسول الله says and execute the obligations of Allah and you will be from among the most pious أتق النس the one who has the most تقوى and تقوى my dear brothers and sisters is one of those levels that we all wish to attain تقوى is one of the levels of إيمان تقوى is one of the levels that you read through تقوى you attain more إيمان and more يقين and you rise and rise and rise تقوى and الله doesn't necessarily mean fear of Allah تقوى is pious and devout and sincere worship of الله out of love and once you begin to love the Creator and once you begin to execute the obligations laid out by the Creator from the fast from the prayer that means that even you yourself not just your spirit but yourself your everyday actions change because this is all reflected in your إخلاق and that is also another important matter إخلاق is very important أن عابد has إخلاق and one who has إخلاق as well has عباد they work hand in hand my dear brothers and sisters focus and do not neglect the quran and the sunnah in our next episode insha'Allah we will speak about the sanctity of time because we also learned from this خطبة اللسن and that lesson is the importance of choosing the appropriate time and the importance of time itself so stay tuned insha'Allah as we discuss this in the next episode which we are right now episode four correct now sorry now we're three we're going to go to episode four insha'Allah and i ask you for forgiveness once more and i ask you that you pray for everybody out there and insha'Allah as well if you can you pray for my parents and my beloved deceased grandmother and grandfather and may Allah سبحانه وتعالى bless you all during these sacred nights of ramadan and i say والسلام عليكم ورحمة الله وبركاته


So excited to get screwed by Linus His screwdriver that is customer donated two of the LTT screwdrivers to the shop and we've been using them for the past couple of weeks I love the Jurassic Park style compartment at the base with all of the drill bits Ratchet sound is very pleasing And the magnet bits really hold well of that quality though makes it hefty and it is Substantially heavier than most other screwdrivers which you feel if you've been working on a build for a long time