Your Excellency, Mr. Shafqat Mirziyoyev, President of the Republic of Uzbekistan, Prime Minister Shri Narendra Modiji, Ministers, Distinguished Guests, Members of the media, Ladies and gentlemen, I welcome you to today's ceremony where 17 documents will be exchanged. I will now announce the first three agreements. The first is the agreement for visa-free travel for diplomatic passport holders. Number two, program of cooperation between the ministries of Foreign Affairs of Uzbekistan and India for 2019-2020. Third, agreement on cooperation in the field of tourism. These three agreements will be exchanged on the side of Uzbekistan by the Foreign Minister, His Excellency, Mr. Abdul Aziz Kamilov, and on the Indian side by Shri Mati Shushma Swaraj, Minister of External Affairs. Fourth is a memorandum of understanding on cooperation in the field of military education. This will be exchanged by His Excellency, Mr. Abdul Salam Azizov, Minister of Defense of Uzbekistan, and by Shri Mati Shushma Swaraj, Minister of External Affairs. Number five, MOU on cooperation in the sphere of law and justice to be exchanged by His Excellency, Mr. Ruslan Davletov, Minister of Justice of Uzbekistan, and by Shri Ravishankar Prasad, Minister of Law and Justice of India. Number six, agreement on cooperation in the field of agriculture and allied sectors to be exchanged by His Excellency, Mr. Abdul Aziz Kamilov, Minister of Foreign Affairs of Uzbekistan, and Shri Radha Mohan Singh, Minister of Agriculture and Farmers' Welfare. Number seven, agreement on cooperation in scientific, technical and innovation fields to be exchanged by His Excellency, Mr. Abdurak Manov, Minister of Innovative Development, and Dr. Harsh Vardhan, Minister of Science and Technology, Earth Science and Environment and Climate Change. Number eight, agreement on cooperation in the field of health and medical science to be exchanged by His Excellency, Mr. Alisher Sadmanov, Minister of Health, and Dr. Harsh Vardhan, Minister of Science and Technology. Number nine, agreement on cooperation in pharmaceuticals to be exchanged by His Excellency, Mr. Alisher Sadmanov, Minister of Health, and Shri Mansook L. Mandavia, Minister of State, and the Ministry of Road Transport, Highway Shipping, Chemicals and Fertilizers. Number ten, memorandum of understanding for the establishment of the Uzbek-India Pharmaceutical and Free Zone of the Andean Region of Uzbekistan to be exchanged by Mr. Shukrat Bak Abdurak Manov, Cochem of Andean Region, and Shri Mansook L. Mandavia, MOS, Chemicals and Fertilizers. I now announce agreements number 11 and 12, MOU for cooperation in the area of national security. Number 12, agreement on cooperation in combating illicit trafficking of narcotic drugs. This will be exchanged by Mr. Viktor Makhmutov, Secretary to the Security Council of Uzbekistan and Shri Rajendra Khanna, Deputy National Security Advisor. Number 13, MOU between the Indian Council of World Affairs and the Institute for Strategic and Regional Studies of Uzbekistan to be exchanged by Mr. Vladimir Norov, Director of the Institute for Strategic and Regional Studies of Uzbekistan and Shreemati Ruchi Gansham, Secretary-West, Ministry of External Affairs. Number 14, agreement on cooperation in the exploration and uses of outer space for peaceful purposes to be exchanged by His Excellency Mr. Shurat Sadikov, Minister for Development of Information Technologies and Communications and Shri Vinod Kumar, Ambassador of India to Uzbekistan. Number 15, MOU between the Kokimiyat of Samarkand City and the Municipal Corporation of Agra to be exchanged by Mr. Furkot Rakimov, Kokim of Samarkand City and Shri Vinod Kumar, Ambassador of India to Uzbekistan. Number 16, MOU between Kokimiyat of Anjayan Region and the State of Gujarat to be exchanged by Mr. Shokratak Bek, Abdul Rakhmak Manof, Kokim of Anjayan Region and Shri Vinod Kumar, Ambassador of India to Uzbekistan. Number 17 is an agreement to establish the India-Uzbekistan Business Council. This has been signed by the Chamber of Commerce and Industry of Uzbekistan and CII of India to be exchanged by Mr. Atkham Ikramov, Chairman of the Chamber of Commerce and Industry of Uzbekistan and Shri Chandrujit Banerjee, Director General, Conflatation of Indian Industry. Excellencies, this concludes the exchange of agreement ceremony. I now request the spokesperson of the Minister of External Affairs to conduct the proceedings. Good afternoon, ladies and gentlemen. I extend a warm welcome to you all to this press event. To begin the proceedings, may I invite the Prime Minister of India to deliver his statement to the press. Your Excellencies, and my friends, President Mirji Yoviv, from Uzbekistan, and friends of the Indian System Council, welcome. Greetings. President, this is your first state visit to India. I am very happy that you are traveling with your family and a special delegation. I am very happy to welcome you and your family as well as your delegation. In the midst of Uzbekistan and India, relations and relations of peace and harmony are the witness of our shared history and culture. A lot of such words are known in both countries. They are not just words, they are a union of hearts and emotions. I am proud and happy that the foundation of our relations is so strong. President, I met you during my trip to Uzbekistan in 2015. I am very impressed by your attitude towards India and your friendship. This is our fourth meeting. I feel that you are a great friend and friend. I am also very happy that you have a special delegation with you. Your Aadhesh and Mardarshan. In a few days, they will meet in India. Today, we have shared our friendship with India and Uzbekistan. We have also shared our strategic partnership with India. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have also taken long-term view to strengthen our relations. We have also taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations. We have taken long-term view to strengthen our relations.


And now welcome to the last talk of the day and it's very close to night and it's time to tell spooky campfire stories except this one is 100% real, spooky as it is. It is a talk on shadow profiling and on how Facebook attracts you even if you don't have a Facebook account. So let's give a warm round of applause to Christopher and Fredericke and invite them on stage. Thank you. Hi everyone. I'm just amazing to be at Congress. This is my first Congress. So yeah it's just been an absolute like dream. I really enjoyed it and it wouldn't be possible without like the angels and the translators and the heralds. So can you give them a round of applause? Thank you. Just by a little show of hands. How many people in here are Android developers? There's like five of them. Cool. And how many of you have used the Facebook SDK? Any of you? Couple. Cool. So I'm going to hand over to Fredericke and he's going to take for a first look at the slides. Earlier this year we have filed complaints against seven companies. Those are data brokers, ad tech companies and companies that do credit scoring. And the reason for our complaints and the reason why we focused on these companies that are really not household names to most people is that it is currently impossible for most people to understand how they're being tracked and profiled and in whose hands all of this data ends up. As part of this research I asked one of these tracking companies, a company called Quantest that many of you probably haven't heard of but that has certainly heard of you for all of my data. So what you see here, this is a heavily edited and deliberately blurred version of my browsing history. So what you see here are those are the websites I've opened, timestamps, device information, this is work related so it's quite sensitive sometimes. It also includes inferred data, a predicted value for my gender, whether I have children, my income and with all of this came partner data from all kinds of companies, different data brokers, who placed me into infuriating categories like heavy alcohol, spender at home or affinity for baby products and nappies. Here's what's so very fascinating about that data except that it's a lot of data, some of it is heavily personal and some of it is very wrong but what's so fascinating is that all of this data is from one cookie, from one browser that was placed on one of my devices. This is why today we have just published right now research about how a very different tracking company tracks people on apps that are built for Android and we've focused especially on how Facebook tracks people who do not have a Facebook account. Earlier this year research by the University of Oxford showed that 42% of apps of free apps in the Google Play Store in the US and the UK should could share data with Facebook and what's interesting is that this makes Facebook the second largest tracker after Google's parent company alphabet. With this research that we just published we wanted to build on this and show what exactly this data sharing looks like particularly for people who don't have a Facebook account. The reason we focused on Facebook and not Google or any of the other tracking companies is because the very fact that apps like a period tracker or an LED flashlight shares data with Facebook in the first place will come as a surprise for many people and especially for those who have made a conscious decision not to be on Facebook. Here's what we did. So we took Oxford University's research from the computer science department they gave us a copy of their list and they gave us a list of all of the apps of the top 5,000 apps that use Facebook SDK. We chose the number of the large or some of the largest ones and we also chose a few apps that were that had sensitive data like they were either to do with religion or they were to do with health or something other stuff and a few utility apps out of that selection because utility apps may also have information about other apps. So this is the 34 that we chose and you can see it's a real mix of both big big name applications you know like Spotify indeed and then much smaller applications that are made by more indie developers either just games that they make that sort of thing and but all of these apps have over 10 million installs and we chose apps that had decent install bases because this isn't really about the apps themselves and developers we're not here to criticise developers for the way they make their apps this is all about the SDK and the way it transmits data with or without user consent. So we can take you quickly through our analysis methodology at a Nexus 5 running Android 8.1 connected through a virtual machine running MITM Proxy which is a manual proxying tool and I did transparently so the app didn't know that it was being intercepted and we had a look at what the data was that was going between the app and Facebook. So our first finding was that over 61% of the apps we tested automatically transferred data before the user has any other like that they literally just opened the app so it's 21 out of 34. So for example here's Kayak and as you'll see pretty much immediately from when the app is up clicked that first request is straight to graph.facebook.com and it sends a whole load of other data to many other companies besides and I could let this go on for a while but ultimately you end up on their home screen which is kind of amusing because it's got this at the bottom of it which is don't worry we'll never share anything without your permission so let's take a look at some of this in slightly more detail and this is a this is pretty standard this is a vk the Russian social network and they're after pretty typical of how the SDK is implemented and I'm guessing probably in the default state which is the app doesn't have initialized when the SDK is first load saying SDK initialized and then when the app is in foreground it's got activated app and then when the app goes to background it sends a message saying deactivated app and when it comes back and when you close the app it says deactivated app so you can actually start to profile like how long the user is using an app how often they're opening the app this kind of stuff and if you look at some of this data if we are able to see it well clearly um it got a unique ID that is we we proposed personal data because it's uniquely attached to your browsing and whatever your app usage and then some other extraneous data in here that's also quite in quite telling it's got a it's got stuff like what version of android you're running what the device you're running on what your keyboard localization is you know your time zone you're getting quite a picture just from this one app of like someone and then it doesn't take much to go beyond beyond that so our second finding is some apps also routinely send facebook data that is incredibly detailed and sometimes sensitive this isn't a particularly new finding there have been other people so a good shout out to privacy who also reported about the baby plus app and uh and mobile shizer who also earlier this week i think reported about um the pregnancy plus app that sends granular data so there's some examples we found in our data so the top example here is kayak and kayak sends your entire search to facebook every time you do a search in their app which is lovely so and it's interesting what they send because it's not just um it's not just for the content of your search there's also some other stuff like your user score whatever that is and it's got obfuscated session ids and all sorts of other things that they're sending to facebook um the other one that's on the bottom here is the king james bible uh and it's quite typical of a lot of ways that app developers implement the sdk and allows them to track your usage through the app so um this one when i originally tested it they've actually made their data slightly less granular but when i originally tested this app it actually told you which verse and passage of the bible you'd read which is a what facebook needs to know so and then the last bit is the the actual advertising data that facebook uses and this is a a request to their ad network and uh some slightly interesting stuff that that comes from here is that you know like the device is on charge the mat the battery percentage is full there's free space and this isn't this isn't even the most comprehensive example i've seen other data on there such as accelerometer positions the other a slight interesting thing again all linked with the uh the app id the other thing here is it's got the top there copper false which is the americans child protection a child privacy act and uh it's somehow decided that i'm not a child even though it never asked me so so and yeah and it's crucial to remember that this happens whether you're a facebook user or you're not a facebook whether you're logged in or you're not logged in so it's making profiles are being made regardless of whether you're having a facebook account or you don't have a facebook account well you have to use as some of these apps and a profile is being built potentially so why does this matter why do any of this matter so our analysis obviously only focused on the data that apps transmit and we can't possibly uh say with definite definitely how this data is being used but here's what's really interesting is that our first finding is that the vast majority of apps share data the second it's opened and the data that is being transmitted um indicates what kinds of app you use when you use them combined with a unique ad id and knowing what kinds of app somebody uses and when can give quite a detailed picture of someone's life so these are four apps that we have actually tested the first one is a muslim prayer app the second one is a period tracker indeed is a job search um app and my talking tom is a children's app so what kind of person could that be that looks like a person who is likely muslim likely female likely looking for a job and likely have who likely has a child so in our analysis the apps that automatically transmit data it all comes together with the google ad id that's a user-resetable unique id that also in our previous work on data burgers and ad tech companies is primarily used for uh connecting different profiles together even though we don't know what is happening to this data it would be pretty straightforward to link it up there's also a second reason why this data is uniquely interesting and that is knowing what kinds of app hundreds of millions of people use and when they use them gives gives quite a unique insight into the android app market so if combined event data such as app installed sdk initialized and deactivate app from different apps uh offer a very detailed insight into the usage behavior of hundreds of millions of people on apps and again we have deliberately focused on app that have a lot of installs at least 10 million and some have even 500 million installs so combined we're looking at over two billion installs and the kinds of data that these apps share that really matters because it's a lot of data the question though is why do so many apps share data with facebook the second that the app opens there are obviously many reasons and some of these are even good reasons why apps use third why apps use third party tracking and sdk such as the facebook sdk um so what the facebook sdk for android does it allows app developers to integrate their apps with facebook's platform and it contains a number of main components such as analytics ads or login so this is the reason why apps or some apps choose to use the sdk now here's where it gets a bit complicated facebook places this sole responsibility on apps to ensure that the data that they collect and ultimately transmit to facebook has been obtained legally and we've reached out to facebook and they confirmed to us again that um it places a legal and contract contractual obligation on the developer who they see as the data controller to get consent as it is required for the use from users before sharing data with facebook via the sdk however the kind of data sharing that we've observed in the majority of apps is the default implementation of the sdk that's nothing we discovered that's clearly uh admitted by facebook in the quick start guide for android so when you use the sdk its default implementation automatically transmits data since may and what happens in may gdpr entered into force um lots of developers have been filing back reports about the sdk um on the right you see one of them but there are many you can search facebook's developers platform for them this one from july 24th somebody complains that they wanted to integrate the login but the moment the app opens it transmits people's ad id and they're not allowed to do this so the reason why developers complained is that when apps share data the second they're opened you are unable to ask people for their explicit and ambiguous permission which is the bar for consent that gdpr requires so facebook released the feature uh and that feature delays what they call the automatic event logging but that feature was only released in june and we in our conversation with facebook prior to this publication facebook confirmed to us in writing that prior to the introduction of this delay option developers were able to disable the transmission of data but that doesn't include something they call a signal that the sdk has been initialized and this is exactly what we've observed in our research and just as a reminder the signal that the sdk has been initialized that's data that that gives a strong indication somebody's what kind of app somebody uses and when they're using this combined with their google ad id the big question is of course is this even legal and we have a very long section in our reports that explains this in a lot of detail because it is very complicated but what this analysis shares is that we think that the responsibility is a lot more complicated than saying this is entirely the responsibility of apps so since we've done this analysis in the uk and the uk is still a member of the opinion union and has implemented the gdpr that's one legal framework that applies we also looked at the e-privacy and we also looked at competition law and the underlying theme is who has what what kind of responsibility so the question is what should android developers do what should android developers do well up your privacy game again we looked at large apps that have lots of significant resources at the very least apps should comply with relevant privacy laws and i'm saying this so clearly because we've seen apps that have like two paragraphs of privacy policies and that is unambiguously non-compliant but we also sort of like you have a responsibility like to not transmit data that doesn't need to be transmitted so data minimization and giving people an actual choice and it was quite interesting we reached out to all of the 21 apps that automatically transmit data as well as those that share much more detailed data and it was very fascinating to see the very different responses that we got from companies some we had the impression didn't fully understand the sdk and what the sdk does when some had a very different interpretation of what they should do legally um some work didn't really didn't realize that this is happening and promised out to update their apps um we need to give some credit to sky scanner this is the only app that got back to us within three days and said thanks very much we've already immediately updated our app and this is no longer happening we haven't been able to test it um and there's also been an app the weather channel they updated their app immediately after we tested it in december but basically the the responses were quite very varied and the general impression is that apps that have a gigantic user base need to do a better job at the same time however i think our research also gives some thoughts to rethink third party tracking on apps even if our legal analysis says it's a little bit more complicated um the facebook says the responsibility is with apps so integrating if you the moment you integrated a third party tracker this comes with risks and so the question is do you really need to integrate the sdk and if you integrated can you do it selectively you shouldn't assume that the default implementation is compliant and um whenever you implement it be very fair and transparent about users about exactly what it is you're doing and how you're collecting data so what should facebook and google do so privacy by design and by default is not just a principle for data protection but it's also something that's quite relevant here um we don't really facebook got back to us explaining the many different ways that developers are able to delay the kind of logging and or like or change the way that the sdk works but to the best of our knowledge there's no good reason uh why the default shares data automatically so if you're selling a product that allows people to send data to you and you make place the reliability on the people who do this data sharing why shouldn't this be privacy friendly by design and by default there's also something interesting that happened in both the responses that we got from facebook and also google's initial reaction to the research that was published by by the oxford researchers earlier this year and that was sort of like but other companies also track people and facebook spent a lot of time in parliamentary hearings this year and we had the pleasure to watch all of them and in one of these hearings facebook followed up in writing on the us senate hearing and in one of these written responses they said it was also the topic was also shadow profiling the tracking of non-users across the internet and the company said that's a standard feature of the internet um and google also pointed like amazon does this twitter does this etc so in a way we need to reclaim the internet like there's no natural law that says that every website every app you use sends such detailed data to hundreds of different companies every time you use them so what can you do so what can we do so what our response from google said there's two easy ways to fix this problem you just you can opt out of ad personalization and you can reset your ad id so we gave that a shot see how that works out so this is what happens when you opt out of ad personalization so the top is with ad personalization on and this is opted out it's a big improvement there the uh the actual the real the real improvement is that the flag has been changed from true to false but the data is increased and it's still being sent so yeah it's um so you can't really opt out then so your best bet well an audience like this has probably got one advantage you probably got if you've got an android phone it's probably rooted so you could always just block graph dot facebook dot com i don't know what the what the implications of that might be there might be other stuff that just stops working but but most users don't have rooted phones and so you the only other real alternative is you could try not install apps that use the facebook sdk but good luck working out which ones those are because it's not well indicated on any app i've ever seen so the only other options you have is to minimize what you're the data you're you're sending so you could segregate your apps have a different profile in your android device for every app so that the the advertising ids are separate and then you you know your your id will only apply to that one app and obviously you can always reset your id and opt out it doesn't really solve much but it does at least you know it keeps your profile fresh keeps the you know it's the time frame that also makes quite a big difference to how you are profiled so but why should you have to do all of this so i'm going to release all of my environment so anyone can re replicate what we've done i'm going to do that tomorrow because i need to get home and sleep but and so yeah i mean my environment is going to go on pi's website and then all of our documentation is also available on pi's website so if anyone else wants to look through what all of the apps we looked at don't do i definitely suggest you have a look at kayak and i just have a look at the led flashlight it's quite interesting especially the consent flows but um yeah and we also um tour thank you thank you christopher thank you for the amazing talk we are taking questions just to remind you there are five microphones two in the front and three in the back so queue up and we're going to take a question right now from microphone two what did you send to facebook to get your data did you send the advertisement id because it would be kind of nice to ask facebook and then complain to the apps and then ask facebook again and repeat that every week so i have actually done a dsr to facebook based on my advertising id and they responded outside of time it wasn't until we actually sent them that we were going to release a report they actually replied to my original dsr and they claimed they have no data and we were going to follow up on this in a not too distant future and they're releasing a new tool it's like this clear history tool because it's sort of like this experience just shows that it's excruciatingly difficult to actually exercise your data rights if you don't have an account so there's a process there's a form you can fill out but it's sort of like it should be way easier to get access to the data that companies hold on you if you don't have an account thank you thank you we are going to take a question from the internet real quick the internet wants to know did some of the apps prevent interception of data by pinning facebook sdk certificates none of them did of the ones i tested at least none of them they were quite happy to send data to a man in the middle thank you uh microphone one hi thanks for the talk are there any open source projects that allow access to these kind of sdks with privacy sensitive uh defaults uh not that i'm aware of i don't think not that sorry not that i'm aware of would this even be permitted by the sdk terms of service sorry say again would this kind of application or uh libraries be permitted by facebook or google's uh terms of api usage or sdk usage we've read them but i couldn't answer that on top of my head sorry thank you thank you microphone one again uh yeah thank you for the talk it was very interesting and uh i think from the top of my head that most of the apps you researched were free to download and now we usually tell the layperson buy your app so you won't be the product do you have any indication of whether this is actually true this is an excellent question and the reason so when you confront companies about third party tracking in general the the the response that you usually get is but apps need to monetize or publishers need to monetize and that's why we need that much tracking however the truth is that this has been the argument for a very long time and at the same time the tracking has become exponentially more invasive and with the argument is still that that this is all needed in order to show relevant ads and we sort of say there are ways to use analytic software there are ways to even show ads that are fair and transparent to people but sort of like but there's such a gap between what's what's considered sort of industry practice or what's happening on a massive scale and what would be considered transparent and fair so there's like a massive room for improvement and that's why i'm not buying the argument that that apps or companies like facebook google say but people need to sell ads but uh do you know if uh is the microphone on oh yeah uh but do you know if uh paid for apps also participate in this tracking we haven't i didn't do any analysis on any paid for apps thank you thank you um microphone five but since it's the default of the sdk it would be it would be really interesting if somebody does that task five thank you thank you for your research um you focus very much on facebook do you know whether or not the other companies such as the big five use sdk that's similar to this one um i didn't really do much digging on the other ones but just by looking at the logs as they were coming in you see an awful lot of other tools that developers regularly lose that there's a tool i think it's called amplitude and then there's a there's crash analytics from google i believe and they all i believe they must all come in an sdk because of the way that they send consistent data but i haven't tested them for what data they're sending thank you mic four so my question is twofold the first part will be um as you've said and have we seen that there is quite clearly a legal like they break the law by not answering the question stuff um out of experience we know that facebook's legal team is quite strong so would you say that there is a chance of like suing them and the second part will be uh what do you say if we just automate the process to reset the ad id could you say the last part again like is is there a way or is it like useful if we automate the process to reset the personal ad id so that we could just reset the tracking every time yes so to answer your first question we're considering what we're going to do next so i can say on that read the legal section like we so read the legal section in our analysis so we didn't want to summarize it here to because we wanted to do it justice and it's a bit complicated but i think yes it raises many questions and there have been previous cases about the tracking of non-users by social plugging and by by pixels and so the question is sort of like what's the what's the parallel here and to answer your second question about resetting your ad id i believe that was your question um it's it's it's not very obvious because to reset your ad id on an android device you go into settings google ads reset your google advertising id and that resets your facebook ad id as well because it's the same id and so one recommendation in the report is also sort of like this is the privacy settings of both google and facebook are still sort of counterintuitive and there's no good reason too why the ad id only resets when you reset it manually because we know that many people will not understand or know what the ad id is used for and what implications resetting it has thank you and speaking of the report i would just like to point out again that it's only being published now so you are the first people to hear about it and i think it deserves a round of applause so the next question is from microphone too hi um is there a way to delay loading the facebook SDK so that facebook wouldn't even have the ability to execute code and then send the analytics data until you really needed to perform the function that you initially integrated it for yes there's a there's a couple of answers to this question it's a good question the um so facebook say that any version of the SDK 4.34 or later has a delay function in it the developers even on this latest december are still saying that functionality is questionable as to whether it works but the actual the actual graph api isn't it it's just an api that you need a key for and we think that some of the larger apps which we tested such as the we chats and the drop boxes might actually implement their own calls to the api rather than going through the SDK which is why they don't automatically make calls to graph my thank you um microphone too for a follow-up question so my point wasn't that uh was actually not implementing the code yourself but using the facebook code but only loading it as soon as you actually need it is there a question oh is that possible was the question i don't know sorry okay thanks thank you microphone five hi thank you um seeing the amount of data that's transmitted um is changing the ad id even making any sense yes in the sense that it sends a signal that i mean it doesn't change anything and we say that very clearly in the reports you have a new profile it's not your old one it's a new one and we know how easy it is at least technically to relink data etc but i still think it sends a signal that that sort of you do want to minimize the granularity of the targeting that's happening and at the same time you do get a fresh profile um we had a little bit of a curiosity and that in our analysis the id did not reset when the phone was put reset on factories reset uh and google got back to us they said they tested it for several different android devices and they they had a different they had different findings so we couldn't verify google's tests it might be that this is unique to the environment in which we tested the apps thank you thank you microphone three yeah um hello uh do you have any information how it is on apple devices that's a great question that might be my project for next year so some of the uh the buck reports that developers filed were also about the uh apple ad id but we haven't we haven't done the the research but i'd be really interested to read it thank you uh microphone three again so you showed that when you opt out of ad personalization the amount of transferred data actually increases um do you know what kind of additional data that is me back on the slides that's like for this very specific app yeah and this is uh from sky scan this is their custom app data for origin selection so when you go through their process or when you when this was tested at least when you went through their process and you selected what city you wanted to fly from it would send data i'm i don't know why it sends more when the uh when advertising uh when personalization is opted out i don't know so that's we're just contractually when you opted out you're not allowed google got back to us to say when you've opted out of ad personalization you're not allowed to use this data for ad personalization first of all that's like a restriction on the on use it's not a restriction on connection but also it's only a restriction on use for advertisement we still think you could be using it for different purposes easy survey or whatever thank you mic five please hi so i have a question would it make sense uh for example that when we uh do this kind of research and we say that these applications are really uh violating the privacies to to actually extend the so we have the f droid and this alternative uh application stores to add additional indication saying look this is uh this application is very much has a very low privacy rating and then if somebody wants to download it he just can decide like there can be like five stars the the user review and like one star for the privacy review and just make sure that it's super obvious if you're downloading a privacy intrusive app not to download it or just just to be aware that what's happening that's an excellent point and that would be a great feature to be implemented um one of our recommendations for google was that they implement something similar to show you know for two users on their play store they already show certain other characteristics about the app like whether it has in-app purchases and other things why don't they show that it's got a tracker attached to it or it's using the sd a facebook implement integration or any of these other things but to add two things one is sort of like the play stores they have terms of terms of services and and and they all say you have to comply with existing laws so what we observe here is also sort of like there's a discrepancy obviously between the terms and how apps behave in practice and the other thing i want to stress is that for this research we only looked at facebook and facebook is a tracker that's present in many apps but there are thousands of of different tracking companies and sort of like to assess how invasive an app is it's really interesting to see how many different trackers they have and the research that we refer to at the beginning um by ruben bins and others at the university of oxford they really looked at the number of trackers that different apps have and it's sometimes is quite a bit i mean i was thinking thank you there is a person at mic four who's been waiting since forever hi um i was particularly interested in your communication with the app uh the apps you were like you contacted the app developers is there an option to make these conversations public i feel like it would be really interesting and it would give me somewhat of an angle to attack this problem from the customer point of view so we contacted the app on december 19 and we appreciate that this is an unusually busy time of the year um and we have added all responses we obviously can't publish the conversation but we published the responses that the apps shared with us and you can find them for each of the app you can see the response at the end and sort of like the many apps didn't get back to us but if they get back to us we would obviously consider to add their statements at a later point this is this is really brilliant thank you very much we have time for a couple more questions but and also to be fair some said they need more time to evaluate that internally so just to be fair um i wouldn't interpret a lack of response as anything negative just yet thanks i would like to say thank you to everyone who's asking questions today because you are making talks even more amazing than they are so a round of applause to everyone who has asked speakers at least one question please do that more often microphone one hi i uh hello um hi um uh i have another question related to communication sort of um i'm a bit surprised of the all the amount of data that facebook is taking um have you ever tried to modify the jason a little bit and i don't know upload like one gigabyte of them and see if facebook drinks it all i think that would give our general counsel a heart attack it's interesting though actually it actually raises a very interesting side point is that some of the apps when i tested them they have they're communicating with so many trackers that they actually like a few of them actually crashed my environment because it's just using up way too much memory trying to log all of the trackers it's trying to connect to you um and when i changed to add personalization off or opting out of ad personalization it actually starts uh well from my experience since a documented bug in on a mitm proxy that's in their github there's a bug where um the android device starts initiating http2 connections without any preamble and mitm proxy can't handle it and it just keeps dropping all these connections and eventually just floods your log with rubbish thank you i feel like next year we might have a talk from someone who actually decides to try it out microphone two please yeah along the same ideas is uh since you already fetched these requests um and they are bound to the app id to the ad id is it possible to maybe if freifung would collect like the last 1000 ad ids and just randomly mingle them to different profiles so to poison them all uh i mean i'm not suggesting to do that but it raises a lot of gdpr questions you might not want to do that i guess don't try this at home yeah microphone three please we have an overwhelming number of questions but we only have time for one more then thank you very much that i can be the last one thank you very much for your talk um one question um have you any experience in how successful is uh for successful facebook is to link your ad id with your account or what happens when you delete your account and um i'm pretty sure facebook still keeps some record of you and if they can they use any measurements to find you again even if you don't have your account anymore so facebook in their privacy policy in the cookie policy and in the in the business terms for facebook pro business terms i don't know the exact word on top of my head but they explain how they use data and there are sections that explain how the company uses data for people who don't have an account um and also in our conversation with the company that got back to us to say this is how we use it um we find that it's still not super clear um and and sort of like for this specific behavior that we're observing um that's a very vague answer but it's sort of like it's like we don't we don't know what they're doing so we have to because we don't know you could you can we have to sort of like trust statements that are made in the policies and that the company made elsewhere but what's interesting the responses to congress where shadow profiling was a big issue is the response of like various purposes are given and the data is stored for a varying length of time and so that's why it's very sometimes a bit tricky to figure out exactly what's happening with us and we'd appreciate if that's a bit more transparent yeah thank you frederike kaltoiner christopher weatherhead from privacy international with an amazing talk thank you


From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. The viral awareness and adoption of foundation models like ChatGPT have created both an opportunity and a threat to automation platforms generally, and RPA point tools specifically. You know, on the one hand, large language models can reduce complexity and accelerate the adoption of enterprise automation platforms. Now the flip side is software robots are designed to improve human productivity through intelligent automation and GPT models could cannibalize some, if not many, use cases initially targeted by RPA vendors. This reality is causing customers to rethink their automation strategies and vendors to rapidly evolve their messaging to position foundation models as an accelerant to their platforms. Hello and welcome to this week's Wikibon Cube Insights powered by ETR. In this Breaking Analysis, we provide you with a perspective on how foundation models could impact automation platforms. We'll review ETR data that quantifies the ascendancy of open AI. We'll also show survey data that measures the overlap between ML AI systems and automation platforms. And then we'll review the recent quarterly performance of UI path and share how we think the company must position itself with respect to the onslaught of noise and potential disruption from GPT models. Let's start with a look at how open AI has literally burst into the mind share of enterprise buyers. Here's a graph from ETR's emerging technology survey, ETS is the acronym, which shows net sentiment on the vertical axis. That's a measure of intent to engage with a platform. And on the horizontal axis is mind share. In just a few short months, open AI has blown past all emerging tech companies that ETR attracts, including the well-established Databricks. Now, of course, we're talking about a predominantly free tool versus companies that are transacting business, major business in the example of Databricks in the enterprise. But there's no denying that chat GPT has created a Netscape moment in the technology business. And here's how buyers are looking at this emerging mega trend. These are direct quotes from CIOs at a recent ETR round table, and they summarize the opinions of a number of users that we've talked to. Quote, when you look at RPA, and you look at ML and AI, essentially it's trying to solve the same business use case, automation, or removal of excess resources, whether they be human or otherwise. The other quote, what open AI has shown with chat GPT is that you can get rid of a lot of overhead, complicated artifact building around typical RPA. I see this as a very interesting value proposition to be able to supplant some of these workbenches in a classical RPA that take quite a while to master and quite a while to get any value past the regular use cases. Now, according to ETR's Eric Bradley, there's a very high overlap between people citing evaluation plans for open AI and the RPA customers in the latest technology spending intention survey, TCIS, especially for UiPath. This data could mean, he says, that the two technologies are simply aligned together or the more ominous view that RPA clients are evaluating open AI as a potential supplement or replacement. Microsoft Power Automate also has a very high overlap but Microsoft's massive investments in open AI and integration into and across its platform will clearly be a tailwind in this regard for Microsoft. Now, later in this program, we'll project how we see this impacting UiPath specifically and RPA automation vendors generally and what they are doing about it, what we think they should do about it as well. Well, we do that. Let's step back a bit and take a broader look at the market in general. Here's a chart from the Q1 ETR survey of 1500 IT decision makers and we're isolating on the big four areas, the sectors with the greatest relative spending velocity that's MLAI, RPA, containers and cloud. The vertical axis is net score or spending velocity and the horizontal axis measures the pervasiveness in the data set. Now, we only show outsourced IT in there because it's the very lowest on the momentum scale and it makes it easier to sort of isolate the big four. That red line at 40% indicates highly elevated spending momentum. And as you can see, despite the tech slowdown, it's a little hard to see, but MLAI and RPA, they rebounded in the Q1 survey. You can see they tick up a little bit. This is perhaps the dual combination of interest in AI from the buzz around chat GPT and a rejuvenated UI path, which is showing up with the data as shown in its recent quarterly performance. So I want to look at that very briefly here. UI path significantly beat and raised this past quarter. Here's a table that shows key metrics from the company's Q4 actuals relative to consensus. Not shown here is net new ARR, which came in above $90 million, a very strong number and much larger than was expected. A very important indicator, probably the most important. But you can see the company beat on virtually every metric and guided hire for fiscal year 24. A particular note is the operating profit, which shows the co-CEO structure seems to be working. Rob Enslin came into UI path from Google. We reported on this. He's partnered up with Daniel Deniz. Enslin is the go-to-market pro and Deniz is the engineer. And now Deniz is spending more time in R&D while Enslin shores up the operations along with CFO Ashim Gupta, who appears to be doing a great job of communicating to the street. You can see the uptick in the stock chart on the right side of this graphic, which shows the stock reacted very positively to the earnings news at $9.4 billion valuation. However, this is still well below and well off. It's $40 billion market cap high, $40 billion plus market cap high. So the company still has a lot of work to do. And look, while one quarter doesn't make a trend, the financial discipline, the focus, the product investments and a much improved communications are very encouraging. That said, foundation models like chatGPT loom large. And that's one reason UI path co-CEO Daniel Deniz had this to say on the earnings call, quote, I would like to emphasize the use of GPT-3 in large language models in our upcoming clipboard AI. And this is going to be a tool that caters to all business users. It will basically allow everyone to transfer information from any source, every document to any application. He continued, we are using a huge combination of our own AI models, GPT-3, Google, Amazon, everything that is combined there. Again, I'm extremely bullish on the prospects of UI path with adopting generative AI technologies. So Deniz is underscoring that UI path has been on the AI curve for quite some time and sees these developments as a positive. Even the street certainly reacted accordingly to that narrative. So let's test this a bit and dig deeper. This chart takes the ETR survey data and isolates it on those customers that are spending on ML AI and RPA. So this cut takes the 1500 and down to 477 and we filter the data only on those companies with more than 50 responses within this cut. So net score or spend momentum on the vertical axis and overlap or penetration into the dataset on the horizontal axis. The takeaway is that these are the companies at the intersection of ML AI and automation and we use RPA as a proxy of course for automation. Microsoft, AWS and Google as you know are the leaders in AI as is Databricks. IBM, Watson and Oracle are the legacy whales and they're maintaining their relevance by driving business value for their customers and integrating AI into their largest states. What's most striking is Power Automate from Microsoft and Microsoft's AI offerings both up and to the right. And this points to the future of how Microsoft is infusing AI into its entire portfolio and that includes RPA offering Power Automate. That's no exception and it's well positioned to capture wallet share in our view. That said, the number one pure play UI path is also very well positioned on this chart. Significantly above the red 40% elevated dotted line. Automation anywhere, another pure play is more than respectable but it doesn't have nearly the market presence or the spending momentum of UI path. The bottom line is the two pure plays are up against some giants and must out innovate them. Well, at the same time partnering with AWS, Google because they're the AI leaders and potentially Microsoft. Dinesh didn't mention Microsoft specifically in his narrative because potentially it's such a competitor. So we'll see if that was intentional or just an omission. Each of these companies is going to have to build on their current momentum to continue to extend their platforms and move faster than the big competitors. I'm talking about the pure place here. And this is not a task for the faint of heart. It's going to take a lot of effort, a lot of innovation, strong balance sheets and great leadership. Let's take another cut the data and look at how customers are spending on ML AI and how those customers are adopting RPA. So same dimensions on this X, Y, net score and the vertical and presence in the data set in the horizontal. This chart again, it shows the spending on RPA platforms within those customers that are spending on AI. So the end gets reduced to 318. We're slicing the salami a bit more here, but it's clear that power automate and UI path are separating from the pack. That said, a number of the others appear to be well positioned. AA, PEGA, Blue Prism, et cetera. And it's imperative that all software companies and especially automation firms get ahead of the curve when it comes to AI generally and GPT models specifically. Okay, so now that we've taken a look at the overlap and intersection of AI and RPA, let's dig into how customers think they may use foundation models and how that might impact RPA in automation platforms. This chart shows results of ETR asking customers if they are evaluating GPT models and if so, for which use cases. 56% of customers said they're not evaluating which is a bit surprising. I say they better start evaluating. The heads are in the sand, but the ones evaluating, you can see customer chat is the main use case than text and data summarization, generating code and documentation, writing sales and marketing copy. Chat GPT is awesome for that. And finally, image editing and design as the major use cases. So at the surface, one could conclude that RPA and automation platforms will absolutely benefit from GPT models that these use cases are largely complimentary. You know, for example, a foundation model could write or accelerate the development of automations that could direct software bots. Sometimes that's really complicated, but at the same time, there's a looming overlap between the capabilities of large language models and some of the early RPA use cases. And this overlap is likely going to increase over time. So how are automation platforms responding? We'll take a look at this graphic from UI Pass Investor Day last year. In the blue is UI Passive Value Play, up the ROI, you know, there's complexity in the enterprise. The orange is where Power Automate is traditionally focused. And by the way, UI Pass initial entry into the market was there as well. That's sort of personal automation. But through acquisition and organic development, UI Path has expanded into process mining, task mining, API integration, and conversational intelligence and other areas. As well, the company has moved from an exclusively on-prem model into a cloud native platform. Cloud now comprises roughly a third of UI Pass ARR. The point is UI Path is repositioning itself. It launched a new branding this month with a new tagline, quote, the foundation for innovation. And their go-to-market focus is targeting the C-suite where they can sell the value and become more strategic. And to achieve this, the platform of UI Path specifically, but virtually all end-to-end automation platforms has to evolve. As an example, early UI Path implementations were about identifying mundane user tasks, building bots, or, you know, a single bot sometimes, and then running those automations and then managing them. It was pretty straightforward. This chart shows what UI Path's platform looks like today. As you can see, it's evolved quite dramatically in a large part through acquisitions and integrations, discovery through process mining, task mining, communications mining, ideations, and so forth are supported by a spectrum of automation capabilities with a foundation of enterprise class capabilities that the company hopes will differentiate it from not only automation anywhere, but Microsoft, which you can never ignore. And so where do GPT models fit in this picture? And the answer is throughout. As Dinez said, they have a lot of experience with AI and generative models, but there is overlap. And this is going to continue to be a fast-moving market. It's likely that UI Path is going to keep moving up market and bring its large cohorts along the journey. And this is again a two-edge sword because UI Path has numerous customers that are smaller with lower average contract values. The opportunity is to bring them deeper into the automation, bring them into the automation nirvana, while at the same time differentiating from the good enough crowd, which increasingly is going to include GPT models. So some quick final thoughts here. This market remains a tale of two cities. Tough times mean companies look for ways to cut costs and automation is a way to do that, but it does require companies to spend money to make money. GPT models are catalyzing new thought and both buyers and sellers are pivoting to turn foundation models into opportunities. Initial use cases for GPT models are interesting, but not a direct replacement by any means for enterprise automation platforms. But low-end automations are at risk and there's no question that there is a van here. The bottom line is pure plays like UI Path and automation anywhere must continue to rapidly advance their platforms to differentiate themselves. As we said early on in our RPA coverage years ago, the number one player is likely going to do really well. Number two, they'll do okay and the rest of the pack is going to struggle somewhat. Nonetheless, all vendors in our view have to leverage GPT models to simplify and accelerate adoption and buyers have to step back and do some experimentation to see how they can deploy these new innovations and add value to their businesses. We suspect at the end of the day that most companies will buy AI, not build it themselves meaning they'll consume it as part of their existing SaaS platforms. And we think that bodes well for the UI Paths of the world because they can through automation they can connect fragmented SaaS platforms they can provide solutions that automate, translate, optimize, accelerate and comply with all that data that's floating around the organization. All right, that's it for today. I want to thank Eric Bradley for his input to today's episode. Alex Meyerson, thank you. He's on production and manages the podcast. Ken Schiffman as well out of our East Coast studios. Kristen Martin and Cheryl Knight they helped get the word out on social media and in our newsletters and Rob Hoef is our editor in chief over at siliconangle.com. Does some great editing for us, thank you. Remember all these episodes are available as podcasts wherever you listen just search, breaking analysis podcast. I publish each week on wikibon.com and siliconangle.com. You can go to thecube.net for all the video action and you can email me at davidotvalante at siliconangle.com or feel free to DM me at dvalante or comment on our LinkedIn posts. Please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE insights powered by ETR. Thanks for watching and we'll see you next time on breaking analysis.


You don't have to come out yet. Hi Joseph. Guess what Papa's going to do with you today? What? Remember last year when we went to the Rockies game? We're going to go almost in five minutes to another Rockies game. And get snacks. Yummy Goddandy and good snacks. Joseph was a little concerned about missing the baseball game because we were going to the ballpark. But what I was explaining, right, Joseph, that a baseball stadium is sometimes called a ballpark. But it's actually the same thing. So the baseball stadium that we're going to is called a ballpark. We're going to the ballpark right now for the Rockies game. Is it good? Body break. Third inning. We got this. We got this. This is real life people. Face. Ready? OK, ready? Look. There they go. Marching. Make sure around at the old. Cleaning out their Rockies helmets. Let's see. What a time. And the good Joseph, this is a great game to be at. Watch where you're going. And we're back at the car. 18 to four the Rockies win. I don't know, I lost track. I think there were five, maybe six, home runs in one game. That's unheard of. Boys, what did you think of the game? Did you have fun? What was your favorite park? Whoa, yeah. Whenever the Rockies hit a home run at their home park, fountains go off in center field. So that's what Joseph's talking about. And Seth, the mascot for the Colorado Rockies is a dinosaur called Dinger. Love you, Dinger. And so Seth loved Dinger, didn't you? Yeah, all right. You want to give? You want to? We can come back here someday. Yes, we can come back here someday. I want to play with the shoeways. Oh, my, my. Do you guys want to say one more time? Go Rockies. Go Rockies. I knew that. It was a good day. It was a good day.


Welcome to the learning activity, the limiting reagent in chemical reactions. The limiting reagent of any chemical reaction is defined as the reactant that is entirely consumed when the reaction goes to completion. Consider making cars. If you add 100 car bodies and 300 tires, how many cars can you make given the equation 1 car body plus 4 tires is equal to 1 car? The answer is 75 cars.  Here's a chemical example. How much aluminum hydroxide will be obtained by reaction of 13.4 grams of aluminum chloride with 10 grams of sodium hydroxide? Aluminum chloride plus sodium hydroxide is equal to aluminum hydroxide plus sodium chloride. Step 1. Calculate the number of moles of product that each reactant could make. Watch below as the equation is filled out. Step 2. Determine which is the limiting reagent. Although 0.1 moles of aluminum hydroxide can be made from 13.4 grams of aluminum chloride, only 0.0833 moles of aluminum hydroxide can be produced from 10 grams of sodium hydroxide. Sodium hydroxide is the limiting reagent. The limiting reagent is the reagent that gives the smallest quantity of product. Step 3. Determine the weight of the product. Watch below as the equation is filled out. In a reaction where the quantity of one reactant limits the quantity of product formed, the other reactant is in excess. In this case, the excess reagent is aluminum chloride. Watch below as the equation is filled out. In the reaction, sodium plus chlorine is equal to sodium chloride. If 0.1 mole of sodium and 0.1 mole of chlorine are present, which is the limiting reagent? Sodium is the limiting reagent. You can make 0.2 mole of sodium chloride using 0.1 mole of chlorine, but only 0.1 mole of sodium chloride using 0.1 mole of sodium. In the reaction, lithium plus oxygen is equal to lithium oxide. If 0.15 mole of lithium and 0.2 mole of oxygen gas are present, which is the limiting reagent? Lithium is the limiting reagent. You can make 0.4 mole of lithium oxide using 0.2 mole of oxygen, but only 0.075 mole using 0.15 mole of lithium. In the reaction, sodium plus chloride is equal to sodium chloride. If 0.7 moles of sodium and 0.4 moles of chlorine are present, how many moles of sodium chloride can you make? The answer is 0.70. Although you could make 0.80 mole of sodium chloride from 0.4 mole of chlorine, you can only make 0.7 mole of sodium chloride from 0.7 mole of sodium. Sodium is the limiting reagent. Congratulations! You have completed this activity, the limiting reagent in chemical reactions.


What's up everybody Jason for Jatsby's case breaks calm 2020 anti football picketing number six sells out with this random number block of Teams that include the dolphins the Eagles the Packers the Cowboys the Vikings the Bills the Raiders Patriots Steelers 49ers watching a football team Rams Lions and Titans so again for $700 guys you get a piece of all of these teams in anti football picketing number six R&B style and again, most of you guys know how it works right there a random number block First number next to the dash on the left side of the dash So there you go. Now we sold these spots straight up We're actually got a spot Sean Paul Matt Sean and then Kevin got the last two and lost Bob Mojo earlier And then global won these spots and elite number seven got the top three to make it ten spots there There's a tee. There's a numbers guys 0-3-9. Let's roll it We got ourselves a five and a six eleven times. Good luck One two three four five six seven eight nine ten eleven five and a six Sean at the top down to global And again, those are the teams that are part of the R&B guys 11 times one two three four five six seven eight nine ten eleven eleven times right there Nine down to eight All right, so Sean you have block nine Matt with block zero and you're not redemptions for these teams Sean was not six Kevin you have one or any one of ones for these teams to be yours Paul with seven global You have eight or sorry four Gretchen you have two Kevin with five and globally of three and eight So there you go guys coming up next in a separate video is anti football picketing number six


the semicircular canal, which you can see here, in addition to two other parts called the utricle and sacrile. And they are part of the vestibular system, which basically tells your body how to balance and how to align your eye sight with the movement of your head. So in the semicircular canal, you have three orthogonal or perpendicular canals. Here we have cameras set up looking at all three canals and to look at the movement of the hairs within the fluid in the canal in microgravity as it's being moved. And this will give us information about the movement of the head in three dimensions. So the box that you see is the macula and utricle part of the inner ear. And this inner ear measures the horizontal motion of the hair cells. And this motion is simulated by sliding the box back and forth in this kind of way. And we're going to have the hair cells and macula and utricle modeled by this plastic box that you see. With the hair cells protruding from the bottom, and the motion of the hair cells in respect to this horizontal motion is recorded through a camera mounted on top, which is going to be transferred to the data analysis in the computer. And we're going to measure the acceleration and movements of the hair cells in respect to the motion. This is the physics experiment that's going to fly in the C9 NASA plane. Our purpose for this experiment is to analyze the electoral output of a wind turbine in different gravitational fields. We want to do this because we might come up with a mathematical model after our data collection, as well as a method to produce and store energy in different gravitational fields. So the two main components of our physics experiment are the fan and the turbine. And the fan, of course, will produce the wind for the turbine will collect. And we will be modeling the apparent acceleration due to gravity versus the voltage output of the fan. And one of those we measured with a voltmeter and another with a 3D accelerometer, which will be hooked into a data collection system. And that will give us a graph and some data of acceleration versus voltage output.


Hi everyone, Shawn with jaspyscasebreaks.com here doing 2017-18 up-redacted-the-cup hockey one box break random number block number 19. So random number block, 10 spots sold, every spot gets a random number between 0 and 9. If you get the number 3, you'll get all cards with 3 being the first number next to the left of the slash. So for example, 243 out of 299, 13 out of 999, 3 out of 25, 43 out of 49, 93 out of 999 and so on. 3 will get that card. All redemption cards will go to the 0 spot, even if it is a known 1 of 1 redemption, it still goes to the 0.  All non-numbered cards randomized in 1 lot, all redemptions go to the 0 spot, so there we go. Here is a list of customers from Matt down to Steven and a list of numbers from 0 down to 9. So dice roll to randomize both lists and pair them up. 6 and a 1, 7 times. Good luck everyone. 1, 2, 3, 4, 5, 6 and 7th final time from Steven down to Jonathan. And now 7 times on the numbers. 1, 2, 3, 4, 5, 6 and 7th and final time from 3 down to 1. So here's how it all played out. So Steven Kendrick with 3, Matt Buckler with 7, Steve Birch with 8 and 5, Jonathan Wolk with 4, Sean Maddock with 0, Matt Buckler with 9, Steven Kendrick with 2, Kang Tang with 6 and Jonathan Wolk with 1. So Sean Maddock gets any and all redemptions, even known 1 of 1 redemptions, while Jonathan Wolk would get all in-person 1 of 1s. Any trades? No? Okay let's go ahead and print and rip. So one box break, we have a fresh case here. So we're going to go ahead and cut this up and figure out which box we're going to do. So we can do this two more times from this case. So you can see three boxes here on screen. So top box we're going to do 1 or 2 on the dice, middle, 3 or 4, bottom, 5 or 6. Dice we're going to use right here. Good luck. It went behind. The number doesn't count. Roll again. Adam's saying 4. It's possible to show you. But here it's a 4. It's literally under the camera. So it was a 4.  So box 2. These ones will be for the next ones. Let me mark on those. So these will be for either random number block 20 and 21. A little X on there. The cup. Incredible stuff. Let's find something nice for you guys. First up, Nino Nita Ryder for the Minnesota Wild. 154 out of 249. Going to spot 4. Jonathan Wolk. Evgeny Spenchnikov. 217 out of 249. Rookie dual color relic and auto. Detroit wedge beings spot 7. Going to Matt Buckler. Here you go Matt. Congrats. Very nice. Look at the patch on this. Connor Sheary. Limited logos. 35 out of 50. Big old chunk of the penguin there. Where would this be? Looks like that's probably the bottom of the skate. Right? Or one of the fingers? I don't even know. But number 35 out of 50. Spot 5 Steve Birch. Nice. The show acetate auto. Charlie McAvoy for the Bruins. And this is non-numbered. So this will be randomized at the end. To one person in the break. Triple relic. 6 out of 25. Chicago Blackhawks. Brandon Saad. Patrick Kane and Jonathan Tiggs. Spot 6. Going to Tang Tang. Maxime Lagasse. 128 out of 249. For the Vegas Golden Knights. And spot 8 Steve Birch. There we go guys. That was our one box break. We have the randomizer of the non-numbered auto. Charlie McAvoy. So let's go back to the randomizer. Take the original list of customers. Add that here. Name on top after two and a five seven times. Takes home the Charlie McAvoy auto. One, two, three, four, five, six and seventh and final time. Congratulations to Steve Birch. You've got that Charlie McAvoy. The show acetate auto. Coming to you. Thank you guys very much. That was 2017-2018 upper deck. The Cup hockey one box break. Random number block. Number 19. JaspysCaseBreaks.com. 20 and 21 for the same case. See you next time. Thank you.


Hi, I'm Mitch Mitchell. So by now I've been making videos for what three or four years or so and we're getting close to the end of another year, but I wanted to talk about the process of putting videos on YouTube. You know, it's an interesting thing. Everyone knows what is it one or two years ago when Google decided that they were going to link YouTube profiles with Google Plus profiles and they were going to force people into having to basically set up a Google Plus profile using their real name and people freaked and they went all nuts and worried about their privacy and all sort of kind of mess and I was one of the few people who actually loved that idea. Why did I love that idea because I'm tired of trolls.  I Also don't trust a lot of people who like to use fake names on stuff I've noticed that a lot of those folks who use fake names and I don't mean you know like a nickname or something I mean, you know some really fake names They don't have any videos on their channels, which is okay. You know what my wife has YouTube channel somewhere that she doesn't have any videos on just so she can get notified when I put up a video So it's not that but you know when people hide behind fake names Then they think they can pretty much say anything they want to but Google had a plan and it seems to somehow be working I have one very popular video on this channel. I think it's got something like 6,700 views. That's for me That's magnificent. My last one only got 12 views. Who knows how many views this one's going to get but you know I keep trying anyhow It's got a bunch of views and it's got no whole bunch of comments as well And a lot of people have been pretty nice, but some people aren't so nice But the strange thing about it is that it seems that Google or YouTube, you know But use them interchangeably They seem to know which accounts are spam or at least what kind of messages are coming out Because they're removing a lot of messages. How do I know because I get notified I get a message on the phone saying hey someone has left you a message and I see the beginning of a message Then sometimes I go to Google plus and I see the message there yet when I go over to the video not a nothing there It's just not there and I'm not mad at YouTube. What so ever? Um, I don't remember if I put any filters up But you know, I don't use any bad language So if you know if something showed up on my channel with bad language, I would delete it anyway I don't believe in the attacking thing You know people can disagree with me all they want to and they can put up other stuff But if I'm called a name or anything like that, you know what? It's gone. It's just history But Google is doing that for me. I'm not doing anything Then I think yesterday I get this notification From someone and I saw the message and it said hey, I've got a video channel.  It's it's Google looking out for us or YouTube looking out for us Now some people will not like that kind of thing They'll say well jeez. No, I want to see everything so that I can filter it You know what if this is one less thing that I have to deal with I'm not upset in the least Now there are gonna be some other folks who are gonna say well, you know, why should we allow that kind of censorship? Because you're a jerk not everybody here watching this of course, but jerks don't deserve not being censored I'm sorry, you know, there was some person on Fox FAUX news And I don't watch that channel, but someone shared the video on Facebook So I you know saw this thing and she was upset because she said that people don't have the right not to be offended By what someone else has to say and in the same breath She was offended because someone didn't like something she said and she said oh no She didn't like something someone else said and she said well, how dare they say that about me I'm thinking well, you just said People don't have the right not to be offended You know, you don't get to have it both ways. I choose not to be offended.  So, you know, it's an interesting thing I'm gonna thank YouTube for doing that for me, but I'd like to know what is your opinion Are you happy that Google aka YouTube is censoring stuff for you or would you rather do it yourself? Let me know I'm Mitch Mitchell. I'm a happy guy tonight. Y'all take care


Hi everyone, Joe for jazzy's case breaks calm coming at you with 2019 2020 upper-deck chronology hockey volume to two box break Random team break number 16 one spot gets you three teams. These these are our last two boxes from that inter case I don't think we have any more cases. So thanks everyone who got into all that chronology. Appreciate it a Big thanks to these folks here for getting into the action. Let's triple up your names to three There's the combo right there. Let's roll it. Let's randomize each list three and a one four times One two three And a one fourth and final time after four we've got Steve all the way down to Jeremy three and a one four times for the teams one two three And a one fourth and final time penguins down to the Tampa Bay Lightning any trades Let me know if there's any trades Let me show you the list first All right Steve you've got the penguins Daniel with the senators and the Rangers Matt with the hurricanes Karen with the coyotes Walter with the Blackhawk Steve with the abs Matt with the flyers Daria with the caps Matt with the Islander Steve with the Oilers Karen with the jets Matt with the flames Daniel with the shark Steve with the Knights Daria with the Red Wings Walter with the Sabres Daria with the blues Steve with the Devils Walter with the Bruins Jeremy with the Kings Karen with the combo Ducks and blue jackets Stephen Wright with the Canucks and Wild Jeremy with the Canadians Matt with the Panthers Stephen with the Dallas Stars Matt with the Maple Leaf Steve Birch with the Preds and Jeremy Harder with the Tampa Bay light and then ninger Light to nining and once again there are the two boxes right there any trades We'll pause the video. Well, we'll allow a little bit of a trade window and then we'll We'll see if there's anyone we come back All right, welcome back folks. There were no deals done here in Random Team 16 so the list remains the same Thanks everyone for getting in I Don't have where's my I'm not prepared today. I've got the tools of my trade On top is Kerry price and he's gonna help us out And he's gonna reveal a Scotty bowman. Look at that pretty thick card here for the Montreal Canadians coach for the Canadians Canadians is Jeremy Jeremy H with Montreal I'm assuming he's a pretty famous coach. I don't know hockey But there he is old Scotty right there There's Mikhail Sergei for the lightning that will be for Jeremy as well SMG saying Scotty's one of the best There you go. We've got another card here. It's silver ink autograph Anton Stansney Stansney 21 out of 25 for the Quebec Nordiques Which I learned yesterday Turned into the Colorado Avalanche So this goes to the abs that'll be for Steve Birch Nice silver ink autograph over the big T there and there's Kerry price for the Canadians to 222 all right and the second and final box All right behind Anthony mantha is Another thick card here with a relic inside.  That's gonna go to Walter and back here is Alex Ovechkin. I Know him Ovechkin going to Dario and the Capitals now Dario. This is a rip card So I'll send to you sealed Let you decide if you want to rip it or not if you do rip it if there's something cool inside Let us know Let us know and Anthony mantha is a Detroit Red Wing and he'll go to Dario as well And there you have it folks two box of random team number 16 of 2019-2020 upper deck chronology hockey. I didn't see any more cases in the back But maybe we'll try to dig some up because these were these were pretty popular. Thanks for watching. Thanks for breaking I'm Joe. I'll see you next time for the next one