1 00:00:04,720 --> 00:00:07,039 Speaker 1: It's a special edition of the Rich on Tech podcast 2 00:00:07,160 --> 00:00:10,280 Speaker 1: direct from China. What's going on? I'm Rich Dmiro here 3 00:00:10,280 --> 00:00:13,920 Speaker 1: in Shanghai for cs Asia, where tech companies are showing 4 00:00:13,920 --> 00:00:16,960 Speaker 1: off their gadgets for a marketplace of over a billion 5 00:00:17,040 --> 00:00:19,840 Speaker 1: people here in this region. And yes, I've got some 6 00:00:19,840 --> 00:00:22,680 Speaker 1: thoughts on that show the country at large and lots 7 00:00:22,680 --> 00:00:25,200 Speaker 1: of international lessons learned. We also got to go to 8 00:00:25,239 --> 00:00:27,640 Speaker 1: Shanghai Disneyland, so we're going to talk about that and 9 00:00:27,760 --> 00:00:32,120 Speaker 1: of course answer your pressing tech questions as always. Joining 10 00:00:32,120 --> 00:00:36,000 Speaker 1: me is producer Megan, the driving force behind this trip. Meghan, 11 00:00:36,080 --> 00:00:40,440 Speaker 1: Welcome to the show. Me How she she? That's about 12 00:00:40,440 --> 00:00:43,239 Speaker 1: all I've learned so far since I've been here. But 13 00:00:43,280 --> 00:00:45,480 Speaker 1: you really wanted to do this? Why? 14 00:00:46,520 --> 00:00:49,320 Speaker 2: I just I've never been to Asia and it just 15 00:00:49,360 --> 00:00:52,280 Speaker 2: sounded like such a cool opportunity to bring you know, 16 00:00:52,840 --> 00:00:55,639 Speaker 2: the Tech show here and just see, you. 17 00:00:55,600 --> 00:00:58,640 Speaker 3: Know how what CS Asia is all about. 18 00:00:59,040 --> 00:01:02,760 Speaker 1: So and on that note, thank you to CES Asia 19 00:01:02,840 --> 00:01:06,319 Speaker 1: for hosting us. They brought us out here to experience 20 00:01:06,360 --> 00:01:08,400 Speaker 1: the show. Now. I was actually here for the very 21 00:01:08,480 --> 00:01:12,520 Speaker 1: first show, which was five years ago. I came here 22 00:01:12,560 --> 00:01:16,759 Speaker 1: with my photographer Phil Ega, and it was the inaugural show, 23 00:01:16,840 --> 00:01:18,040 Speaker 1: So I mean it was like the first time. I 24 00:01:18,080 --> 00:01:20,160 Speaker 1: didn't know anything about it, and I don't think neither 25 00:01:20,280 --> 00:01:22,240 Speaker 1: either did see Yes Asia, I mean it was a smaller, 26 00:01:22,319 --> 00:01:25,240 Speaker 1: much smaller show than it is today. It has definitely grown. 27 00:01:25,640 --> 00:01:30,800 Speaker 1: So this year, five or six giant halls of exhibits. 28 00:01:31,920 --> 00:01:34,080 Speaker 1: And yeah, there's a lot of random tech accessories. I 29 00:01:34,080 --> 00:01:36,240 Speaker 1: mean that's to be expected because we're in Asia. I 30 00:01:36,280 --> 00:01:38,560 Speaker 1: mean that's this is where they're all made. But they 31 00:01:38,600 --> 00:01:40,920 Speaker 1: had a lot of cartech, they had Ai, they had 32 00:01:40,959 --> 00:01:45,280 Speaker 1: five g lots of keynotes from big companies. Huawei gave 33 00:01:45,319 --> 00:01:47,240 Speaker 1: the keynote, which is kind of awkward because you know, 34 00:01:47,280 --> 00:01:50,800 Speaker 1: you've heard Huawei in the news so much. They're they're 35 00:01:50,840 --> 00:01:52,960 Speaker 1: facing that major band in the US. I think they're 36 00:01:53,000 --> 00:01:55,520 Speaker 1: already banned at this point, so but I think they're 37 00:01:55,560 --> 00:01:59,680 Speaker 1: fighting it. But my big takeaway from the show, did 38 00:01:59,680 --> 00:02:02,240 Speaker 1: I see one thing that just like blew my mind? 39 00:02:02,520 --> 00:02:05,480 Speaker 1: Not really, but I saw lots of little things and 40 00:02:05,720 --> 00:02:07,840 Speaker 1: a lot of cool stuff too. That all kind of 41 00:02:07,840 --> 00:02:11,040 Speaker 1: makes you realize it is a very big world out there. 42 00:02:11,320 --> 00:02:14,720 Speaker 1: In the US, we're very focused on Apple on Samsung, 43 00:02:15,120 --> 00:02:18,320 Speaker 1: but here there are so many people and what I've 44 00:02:18,360 --> 00:02:21,120 Speaker 1: noticed about people in Asia is that there is not 45 00:02:21,280 --> 00:02:24,120 Speaker 1: one theme I see right, except for the fact that 46 00:02:24,200 --> 00:02:27,160 Speaker 1: everyone's on their phone all the time. But they use 47 00:02:27,240 --> 00:02:30,400 Speaker 1: a lot of different tech. Like in the US, it's 48 00:02:30,440 --> 00:02:32,960 Speaker 1: all Apple, it's all Samsung, and you know, a couple 49 00:02:33,000 --> 00:02:36,399 Speaker 1: other brands. But here it is like I was looking 50 00:02:36,440 --> 00:02:39,840 Speaker 1: at people's phones and I couldn't identify what phone models 51 00:02:39,880 --> 00:02:43,520 Speaker 1: they were because there's so many different types. So I 52 00:02:43,520 --> 00:02:46,000 Speaker 1: think that's my big takeaway is that really this is 53 00:02:46,080 --> 00:02:48,960 Speaker 1: a huge world. Keep in mind that when you talk 54 00:02:49,000 --> 00:02:51,680 Speaker 1: about tech and you see tech, there are a lot 55 00:02:51,720 --> 00:02:55,560 Speaker 1: of different people out there and there's something for everyone. Okay, 56 00:02:55,600 --> 00:02:57,200 Speaker 1: so let me talk about the way this show is 57 00:02:57,200 --> 00:02:59,800 Speaker 1: gonna work, because it's a little different than our previous shows. 58 00:03:00,200 --> 00:03:02,640 Speaker 1: Instead of talking about all the tech topics from this week, 59 00:03:02,800 --> 00:03:04,959 Speaker 1: I'm going to share my thoughts about this whole experience 60 00:03:05,000 --> 00:03:07,240 Speaker 1: here in China. But we're still going to answer questions. 61 00:03:07,240 --> 00:03:10,240 Speaker 1: So in between my thoughts, I'll take a question. And 62 00:03:10,280 --> 00:03:12,480 Speaker 1: I guess now's the perfect time to start with our 63 00:03:12,480 --> 00:03:14,880 Speaker 1: first question, So Megankay take it away. 64 00:03:15,040 --> 00:03:20,120 Speaker 2: Okay, so our first question comes from Peggy Lane. Hey, Rich, 65 00:03:20,240 --> 00:03:23,320 Speaker 2: we are very interested in purchasing something that attaches to 66 00:03:23,400 --> 00:03:26,520 Speaker 2: our house as a water meter and alert to you 67 00:03:26,840 --> 00:03:29,600 Speaker 2: when there is a possible leak. I would also like 68 00:03:29,639 --> 00:03:31,480 Speaker 2: to be able to turn off the house water with 69 00:03:31,520 --> 00:03:35,000 Speaker 2: my iPhone. How is the technology advanced in this department? 70 00:03:35,040 --> 00:03:35,800 Speaker 2: Any suggestion? 71 00:03:36,600 --> 00:03:38,840 Speaker 1: Ooh, that's a really good question, and it's something that 72 00:03:39,080 --> 00:03:41,680 Speaker 1: here's the thing with all this smart home stuff. Once 73 00:03:41,720 --> 00:03:45,000 Speaker 1: you have it, you realize that you can't imagine life 74 00:03:45,040 --> 00:03:47,720 Speaker 1: without it and the smart like okay, so for me, 75 00:03:47,760 --> 00:03:52,840 Speaker 1: example of me, for example, I just installed a smart 76 00:03:52,880 --> 00:03:55,200 Speaker 1: lock on my front door, and now that I have it, 77 00:03:55,280 --> 00:03:58,200 Speaker 1: I literally can't imagine life without it because I can 78 00:03:58,560 --> 00:04:00,320 Speaker 1: see when my door is locked, I can see when 79 00:04:00,320 --> 00:04:02,960 Speaker 1: it's unlocked. I can assign codes to people everyone. I 80 00:04:02,960 --> 00:04:05,240 Speaker 1: don't have to have keys anymore for people. So I've 81 00:04:05,240 --> 00:04:07,600 Speaker 1: given out codes to like so many people because they 82 00:04:07,600 --> 00:04:09,160 Speaker 1: can just like my in laws, they can come in 83 00:04:09,200 --> 00:04:12,119 Speaker 1: when they need to. You can say when you want 84 00:04:12,120 --> 00:04:14,480 Speaker 1: them to have access. So like for instance, with the 85 00:04:15,200 --> 00:04:18,440 Speaker 1: with the cleaning service I have them, they can only 86 00:04:18,520 --> 00:04:21,000 Speaker 1: access it at a certain time, like they come on 87 00:04:21,080 --> 00:04:24,280 Speaker 1: this day from you know, seven to nine. That's it, 88 00:04:24,360 --> 00:04:26,119 Speaker 1: you know what I mean. They don't need access twenty 89 00:04:26,120 --> 00:04:28,320 Speaker 1: four to seven. So it's like these little things I 90 00:04:28,440 --> 00:04:30,840 Speaker 1: never thought of, Like here's for the past twenty years, 91 00:04:31,040 --> 00:04:32,960 Speaker 1: you know, cleaning service had a key to my house. 92 00:04:33,480 --> 00:04:36,880 Speaker 1: This makes so much more sense. So anyway, when it 93 00:04:36,920 --> 00:04:40,320 Speaker 1: comes to the water leaks at your house, and by 94 00:04:40,320 --> 00:04:42,080 Speaker 1: the way, I had this happen at my house, and 95 00:04:42,120 --> 00:04:44,560 Speaker 1: it's not pretty a water leak. I think it cost 96 00:04:44,640 --> 00:04:47,320 Speaker 1: us insurance. I think it was about almost fifty thousand 97 00:04:47,320 --> 00:04:50,560 Speaker 1: dollars for I'm talking one little leak that was from 98 00:04:50,600 --> 00:04:53,719 Speaker 1: the water heater. It exploded basically overnight and got leaked 99 00:04:53,720 --> 00:04:56,520 Speaker 1: into our floor like for about twenty four hours. And 100 00:04:56,600 --> 00:04:58,000 Speaker 1: I thought, no big deal. I just stepped on the 101 00:04:58,000 --> 00:05:00,479 Speaker 1: floor and it was kind of mushy. Oh my gosh. 102 00:05:00,520 --> 00:05:02,159 Speaker 1: I had no idea. You have to replace the entire 103 00:05:02,200 --> 00:05:04,520 Speaker 1: wood floor, I mean, the walls. They gotta cut the 104 00:05:04,520 --> 00:05:06,440 Speaker 1: walls up to like you know, so they can replace 105 00:05:06,480 --> 00:05:09,240 Speaker 1: all the everything had to be replaced, mold exactly had 106 00:05:09,279 --> 00:05:12,040 Speaker 1: to be dried out for a week. Well not because 107 00:05:12,080 --> 00:05:13,800 Speaker 1: we've found it quickly, you know, but they still have 108 00:05:13,800 --> 00:05:15,640 Speaker 1: to dry out your house for like a week to 109 00:05:15,680 --> 00:05:16,800 Speaker 1: make sure that doesn't get any more. 110 00:05:16,839 --> 00:05:17,280 Speaker 3: I mean, it was. 111 00:05:17,240 --> 00:05:20,080 Speaker 1: Crazy My point is for a little tiny leak, it 112 00:05:20,120 --> 00:05:23,320 Speaker 1: was like so much money. Yeah, and yeah, insurance will 113 00:05:23,320 --> 00:05:24,800 Speaker 1: cover a lot of that, but I mean I still 114 00:05:24,839 --> 00:05:27,000 Speaker 1: was out a lot. But anyway, so my point is 115 00:05:27,440 --> 00:05:30,200 Speaker 1: these things are going to become even more crucial because 116 00:05:30,240 --> 00:05:33,320 Speaker 1: how they work is they go on your main pipe 117 00:05:33,360 --> 00:05:36,080 Speaker 1: that brings the water into your house and they sense 118 00:05:36,120 --> 00:05:38,680 Speaker 1: what's happening with that water going through there. So number one, 119 00:05:39,080 --> 00:05:41,680 Speaker 1: they can sense like is your toilet leaking because they 120 00:05:41,760 --> 00:05:44,160 Speaker 1: use an algorithm to kind of figure out, like we 121 00:05:44,160 --> 00:05:48,039 Speaker 1: we can fingerprint this leak, and we know from the 122 00:05:48,080 --> 00:05:51,200 Speaker 1: other millions of fingerprints that we've taken that this is 123 00:05:51,200 --> 00:05:53,719 Speaker 1: a water leak from the toilet, or this is a 124 00:05:53,760 --> 00:05:56,880 Speaker 1: water leak from the shower, or this is your washing 125 00:05:56,920 --> 00:05:59,640 Speaker 1: machine using too much water. So it's really fascinating what 126 00:05:59,680 --> 00:06:03,680 Speaker 1: they're doing with the fingerprinting of this of the water 127 00:06:03,880 --> 00:06:06,719 Speaker 1: flow in your house. So the two that I would 128 00:06:06,760 --> 00:06:09,760 Speaker 1: probably take a look at. Number one is called flow 129 00:06:10,360 --> 00:06:13,440 Speaker 1: Flo and this is actually owned by Mowen. You've heard 130 00:06:13,480 --> 00:06:16,000 Speaker 1: of them, right, the brand, Yeah, So that's number one. 131 00:06:16,120 --> 00:06:18,200 Speaker 1: The one that I know that I've seen a demo 132 00:06:18,360 --> 00:06:21,880 Speaker 1: of is Finn p h y N And this is 133 00:06:22,279 --> 00:06:25,400 Speaker 1: made by Belkan, which I guess they used to be. 134 00:06:25,440 --> 00:06:26,800 Speaker 1: I mean I think they are and. 135 00:06:26,760 --> 00:06:30,560 Speaker 3: We saw both of these companies at CES in Vegas. 136 00:06:30,160 --> 00:06:31,800 Speaker 1: Right and this this is one of those things. But 137 00:06:31,839 --> 00:06:33,919 Speaker 1: it's really expensive. So I think by the time you 138 00:06:33,960 --> 00:06:36,600 Speaker 1: get it installed in everything, you're looking at over one 139 00:06:36,600 --> 00:06:40,040 Speaker 1: thousand dollars, but in my case, for you know, being 140 00:06:40,080 --> 00:06:42,960 Speaker 1: out a couple several thousand dollars with that leak. This 141 00:06:43,000 --> 00:06:45,400 Speaker 1: is something that I do want to get and I keep, 142 00:06:45,440 --> 00:06:46,560 Speaker 1: but it's like one of those things like do you 143 00:06:46,600 --> 00:06:48,320 Speaker 1: really like you know, you have all these things of 144 00:06:48,320 --> 00:06:50,080 Speaker 1: what you want to spend your money on, like a 145 00:06:50,160 --> 00:06:52,640 Speaker 1: water flow leak detector in your house is not really 146 00:06:52,680 --> 00:06:55,400 Speaker 1: on the top of my list. It's probably last on 147 00:06:55,400 --> 00:06:58,240 Speaker 1: the list, but it is something to look into. So 148 00:06:58,520 --> 00:07:00,320 Speaker 1: I think the technology this is going to be something 149 00:07:00,360 --> 00:07:02,719 Speaker 1: that's on every home in the future, especially when it 150 00:07:02,720 --> 00:07:06,279 Speaker 1: comes to water conservation. So those are the two that 151 00:07:06,320 --> 00:07:10,280 Speaker 1: I look at, Flow and finn and you know, I think, 152 00:07:10,280 --> 00:07:12,480 Speaker 1: once you have it, you probably gonna like it. YEA, 153 00:07:12,800 --> 00:07:18,360 Speaker 1: So good question. Okay, So moving on with China, the 154 00:07:18,440 --> 00:07:21,680 Speaker 1: number one thing that I have noticed about this country 155 00:07:21,920 --> 00:07:25,160 Speaker 1: is the Great Firewall, as they call it right. It 156 00:07:25,280 --> 00:07:30,560 Speaker 1: is real. You've experienced it. Connectivity here is such a challenge. 157 00:07:30,640 --> 00:07:32,720 Speaker 1: And that doesn't mean that there's not Wi Fi. Doesn't 158 00:07:32,760 --> 00:07:36,720 Speaker 1: mean there's not cellular. There's cellular everywhere, there's Wi Fi everywhere, 159 00:07:36,760 --> 00:07:39,200 Speaker 1: but it does not work the way we think about 160 00:07:39,200 --> 00:07:42,840 Speaker 1: it working in America. So everything that we use on 161 00:07:42,880 --> 00:07:45,960 Speaker 1: a daily basis is pretty much blocked. And that includes Facebook, 162 00:07:46,000 --> 00:07:50,320 Speaker 1: that includes Instagram, that includes Google, that includes Gmail, that 163 00:07:50,320 --> 00:07:53,600 Speaker 1: includes Google Photos, Google Drive. As you figured out, the 164 00:07:53,640 --> 00:07:55,320 Speaker 1: list just goes on and on, like all this stuff 165 00:07:55,360 --> 00:07:57,200 Speaker 1: that you just think. You open up Instagram, it's just 166 00:07:57,200 --> 00:07:59,720 Speaker 1: like sorry, could not connect, and you're like wait, what, Like, no, 167 00:07:59,760 --> 00:08:02,240 Speaker 1: there's Instagram. You send a message to someone on Instagram 168 00:08:02,320 --> 00:08:06,200 Speaker 1: doesn't work, nop. So the thing that I found is 169 00:08:06,440 --> 00:08:10,560 Speaker 1: twofold number one. If you are using a cellular connection 170 00:08:10,920 --> 00:08:14,120 Speaker 1: from an account from the US, like I have Verizon, 171 00:08:14,480 --> 00:08:16,920 Speaker 1: if I'm using that on my phone, even though I'm 172 00:08:16,920 --> 00:08:19,440 Speaker 1: going through China Mobile on my phone because it's roaming, 173 00:08:19,720 --> 00:08:23,760 Speaker 1: it still works just fine. So that's number one. But 174 00:08:24,240 --> 00:08:26,280 Speaker 1: on your computer, what do you do right? So right 175 00:08:26,280 --> 00:08:28,040 Speaker 1: now I'm using a hot spot from my phone that 176 00:08:28,080 --> 00:08:28,760 Speaker 1: gets expensive. 177 00:08:28,920 --> 00:08:29,840 Speaker 3: We just figured it out. 178 00:08:29,920 --> 00:08:31,480 Speaker 1: Yeah, which I just figured it out, by the way. 179 00:08:31,800 --> 00:08:34,040 Speaker 1: But the other thing I've been doing is using a VPN, 180 00:08:34,280 --> 00:08:37,160 Speaker 1: so that has really saved me. But the problem with 181 00:08:37,160 --> 00:08:39,680 Speaker 1: the VPN is it kicks you off every couple of minutes, 182 00:08:40,040 --> 00:08:42,160 Speaker 1: so it's not like you just log onto your VPN 183 00:08:42,200 --> 00:08:44,680 Speaker 1: and it works the whole time. So it has been 184 00:08:44,800 --> 00:08:48,160 Speaker 1: really frustrating. And the other thing I noticed is that 185 00:08:48,320 --> 00:08:50,360 Speaker 1: I always talk about people always asking me, hey, Rich, 186 00:08:50,360 --> 00:08:53,360 Speaker 1: how do I roam when I'm in whatever country? And 187 00:08:53,840 --> 00:08:56,360 Speaker 1: a given you, your experience in other countries is a 188 00:08:56,400 --> 00:08:59,160 Speaker 1: lot easier because you do have WiFi. That's that works. 189 00:08:59,200 --> 00:09:00,760 Speaker 1: Like if you go to Italy, the WiFi is gonna 190 00:09:00,840 --> 00:09:02,840 Speaker 1: let you access all the stuff you normally access right 191 00:09:03,040 --> 00:09:05,000 Speaker 1: so here it's a little more challenging. But what I 192 00:09:05,040 --> 00:09:07,720 Speaker 1: did recognize is I always recommend to go on the 193 00:09:07,720 --> 00:09:10,600 Speaker 1: travel paths or whatever they call it, like international travel whatever. 194 00:09:10,600 --> 00:09:13,160 Speaker 1: It's ten dollars a day usually on AT and T 195 00:09:13,280 --> 00:09:15,480 Speaker 1: and Verius and the two big ones, and that gives 196 00:09:15,520 --> 00:09:18,160 Speaker 1: you your plan as normal in any country in the 197 00:09:18,160 --> 00:09:20,240 Speaker 1: world pretty much. So if you use your phone it's 198 00:09:20,280 --> 00:09:22,240 Speaker 1: a ten dollars charge, it works as normal, like you 199 00:09:22,280 --> 00:09:24,920 Speaker 1: can call people, you can use your Internet whatever. But 200 00:09:25,000 --> 00:09:27,280 Speaker 1: what I did not know until this trip is that 201 00:09:27,320 --> 00:09:30,319 Speaker 1: you only get a half a gigabyte of high speed 202 00:09:30,440 --> 00:09:34,280 Speaker 1: data and after that they slow you down to a crawl, 203 00:09:34,320 --> 00:09:37,640 Speaker 1: which is basically unusable. So now I feel like it's 204 00:09:37,640 --> 00:09:42,040 Speaker 1: still the easiest way to travel internationally, but that half 205 00:09:42,080 --> 00:09:44,319 Speaker 1: a gig is not enough. I mean, you know, you 206 00:09:44,480 --> 00:09:47,000 Speaker 1: want to upload a couple pictures to Instagram find but 207 00:09:47,080 --> 00:09:48,720 Speaker 1: for me, like I was uploading a couple of videos 208 00:09:48,760 --> 00:09:50,520 Speaker 1: and stuff to like Facebook, and I want to back 209 00:09:50,600 --> 00:09:53,760 Speaker 1: up my pictures to Google Photos. No dice, because half 210 00:09:53,760 --> 00:09:57,160 Speaker 1: a gig is like nothing. You'll burn through that instantly. 211 00:09:57,400 --> 00:09:58,720 Speaker 1: And the best part is when you're done with that 212 00:09:58,760 --> 00:10:01,800 Speaker 1: half a gig and text you and they say, oh, 213 00:10:02,200 --> 00:10:03,760 Speaker 1: we notice that you burn through your half a gig. 214 00:10:03,760 --> 00:10:06,800 Speaker 1: We're gonna slow you down or reply yes for another 215 00:10:06,840 --> 00:10:09,080 Speaker 1: ten dollars, we'll give you another half a gig. 216 00:10:09,240 --> 00:10:10,640 Speaker 3: Yeah, that's how they make the money. 217 00:10:11,000 --> 00:10:14,520 Speaker 1: That can add up really fast. Yeah. Serious. Personally, I 218 00:10:14,559 --> 00:10:18,080 Speaker 1: don't know how China survives without Twitter, Facebook, Instagram, Google. 219 00:10:19,280 --> 00:10:21,560 Speaker 1: Maybe they're better off, because you know, it's a source 220 00:10:21,600 --> 00:10:23,480 Speaker 1: of a lot of discontent in America, you know, like 221 00:10:23,520 --> 00:10:26,320 Speaker 1: people are surfing Instagram all day and they're jealous of 222 00:10:26,360 --> 00:10:31,360 Speaker 1: like their friends they see on vacation what's not blocked, 223 00:10:31,360 --> 00:10:34,160 Speaker 1: which has been really good? I message, so that's been 224 00:10:34,200 --> 00:10:37,360 Speaker 1: a savior there. And you had an experience with a 225 00:10:37,360 --> 00:10:40,040 Speaker 1: couple of things that were censored, so tell me about that. 226 00:10:40,240 --> 00:10:41,439 Speaker 3: Oh so. 227 00:10:42,960 --> 00:10:45,920 Speaker 2: The second day that I was here, I decided to 228 00:10:45,960 --> 00:10:47,800 Speaker 2: like turn on the TV and just like see what 229 00:10:48,400 --> 00:10:52,400 Speaker 2: was there. And I turned on CNN and I was like, oh, okay, 230 00:10:52,520 --> 00:10:55,960 Speaker 2: see I thought CNN would have been like blocked, and 231 00:10:56,000 --> 00:10:57,079 Speaker 2: I was just watching it, and. 232 00:10:57,040 --> 00:11:00,240 Speaker 3: Then suddenly they started CNN was talking. 233 00:11:00,120 --> 00:11:02,719 Speaker 2: About Trump, and then I was like, oh, weird, so 234 00:11:02,760 --> 00:11:05,120 Speaker 2: they like talk about Trump here. And then suddenly and 235 00:11:05,160 --> 00:11:07,960 Speaker 2: it was like obviously an American CNN because it was 236 00:11:08,000 --> 00:11:12,000 Speaker 2: like Cenn anchors. And then within literally thirty seconds, it 237 00:11:12,080 --> 00:11:12,440 Speaker 2: just went. 238 00:11:12,360 --> 00:11:15,120 Speaker 1: Black because they were talking about something that was happening 239 00:11:15,120 --> 00:11:16,679 Speaker 1: in Hong Kong, a protest. 240 00:11:16,440 --> 00:11:18,720 Speaker 2: Yes, exactly, and then it was black for just like 241 00:11:18,880 --> 00:11:19,440 Speaker 2: five minutes. 242 00:11:19,559 --> 00:11:21,760 Speaker 1: So it's so crazy that they have it here. But 243 00:11:21,880 --> 00:11:25,000 Speaker 1: yet someone is literally sitting there watching the CNN feed 244 00:11:25,280 --> 00:11:27,920 Speaker 1: for all of China and just like pressing a button too, 245 00:11:28,040 --> 00:11:31,160 Speaker 1: like blackout. Whatever. They don't agree with. I mean, it's 246 00:11:31,200 --> 00:11:33,520 Speaker 1: so crazy. It must be a huge like business here, 247 00:11:33,559 --> 00:11:36,520 Speaker 1: like industry here, like the government doing that. Yeah. And 248 00:11:36,520 --> 00:11:38,480 Speaker 1: then a phone call with your mom something weird happened. 249 00:11:38,559 --> 00:11:42,160 Speaker 2: Yeah, So I called my mom and within like ten seconds, 250 00:11:42,160 --> 00:11:45,120 Speaker 2: she was like, oh, are you listening to music? And 251 00:11:45,160 --> 00:11:47,920 Speaker 2: I was like no, and she said, oh, well, I 252 00:11:48,000 --> 00:11:49,720 Speaker 2: just heard like a Beatles song playing. 253 00:11:50,480 --> 00:11:53,120 Speaker 3: And I was like, well, I'm not listening to any music. 254 00:11:53,240 --> 00:11:55,360 Speaker 2: And she was like, okay, Well it was very clear, 255 00:11:55,480 --> 00:11:58,440 Speaker 2: like I could hear a song playing for like three seconds. 256 00:11:58,480 --> 00:12:01,480 Speaker 2: It like basically to me, like she couldn't hear me, 257 00:12:01,559 --> 00:12:04,600 Speaker 2: she just heard the song. So like something happened. I 258 00:12:04,640 --> 00:12:07,000 Speaker 2: have no idea. It was really strange. And then like 259 00:12:07,440 --> 00:12:09,280 Speaker 2: throughout the call, I just was like, I feel like 260 00:12:09,280 --> 00:12:09,960 Speaker 2: someone's listening. 261 00:12:10,040 --> 00:12:12,439 Speaker 1: Yeah, That's the way I felt on all my calls. Yeah, 262 00:12:12,480 --> 00:12:16,720 Speaker 1: the guy listening probably he probably like was listening to 263 00:12:16,800 --> 00:12:18,520 Speaker 1: music in the background and like forgot to mute it 264 00:12:18,559 --> 00:12:21,160 Speaker 1: when he like started listening to you. Actually, Oh my gosh. 265 00:12:21,240 --> 00:12:24,400 Speaker 1: So crazy. It's just such a weird thing. Because yeah, 266 00:12:24,480 --> 00:12:26,320 Speaker 1: I'm sure in America they do stuff like that, Like 267 00:12:26,320 --> 00:12:30,160 Speaker 1: I'm sure there's a level of surveillance not on the 268 00:12:30,200 --> 00:12:32,360 Speaker 1: average person, but in general, Like you know, I'm sure 269 00:12:32,400 --> 00:12:34,920 Speaker 1: America does that to certain people and things that are 270 00:12:34,920 --> 00:12:38,000 Speaker 1: being watched. We do have the FBI, but it just 271 00:12:38,040 --> 00:12:40,520 Speaker 1: doesn't feel as in your face as it does here. Yeah, 272 00:12:41,280 --> 00:12:43,160 Speaker 1: all right, another question, Megan, you're up. 273 00:12:43,200 --> 00:12:47,360 Speaker 3: Okay. Next question is from Roger Massius. 274 00:12:48,360 --> 00:12:51,000 Speaker 2: My kid downloaded some free software and along with it 275 00:12:51,080 --> 00:12:53,600 Speaker 2: a virus that redirects my browser to bing. 276 00:12:54,320 --> 00:12:56,280 Speaker 3: I noticed during the redirect. 277 00:12:55,800 --> 00:13:00,439 Speaker 2: Process it tags a site called my Search team to 278 00:13:00,440 --> 00:13:03,440 Speaker 2: get rid of it, and I'm getting really frustrated. Do 279 00:13:03,480 --> 00:13:06,560 Speaker 2: you have any ideas on how to get off how 280 00:13:06,600 --> 00:13:07,560 Speaker 2: to get it off my PC? 281 00:13:08,000 --> 00:13:10,800 Speaker 1: Oh gosh, this is the worst. It's funny that this 282 00:13:10,840 --> 00:13:13,560 Speaker 1: still happens because this was such a problem a long 283 00:13:13,600 --> 00:13:16,800 Speaker 1: time ago, but it still happens. So what happened was 284 00:13:16,840 --> 00:13:21,440 Speaker 1: your son probably downloaded some software that had I don't 285 00:13:21,440 --> 00:13:23,680 Speaker 1: know what you call it, like drive by software included. 286 00:13:23,760 --> 00:13:25,599 Speaker 1: Like a lot of times you download free software. The 287 00:13:25,640 --> 00:13:28,280 Speaker 1: reason it's free is because they'll get money from a 288 00:13:28,400 --> 00:13:31,600 Speaker 1: company like my Search, and my Search will say, well, 289 00:13:31,679 --> 00:13:34,199 Speaker 1: let's bundle our toolbar in and we'll pay you ten 290 00:13:34,280 --> 00:13:37,240 Speaker 1: dollars every time someone downloads your software. And you're like, okay, cool. 291 00:13:37,320 --> 00:13:40,000 Speaker 1: I mean it's just so it comes with that software. 292 00:13:40,280 --> 00:13:42,880 Speaker 1: So that's what happened. And it's, by the way, really 293 00:13:42,880 --> 00:13:45,200 Speaker 1: tough to usually get rid of this software because it 294 00:13:45,200 --> 00:13:47,240 Speaker 1: doesn't show up in the uninstalled tool but you know, 295 00:13:47,360 --> 00:13:50,920 Speaker 1: uninstalled panel. It's just not like as legitimate as like 296 00:13:50,960 --> 00:13:52,880 Speaker 1: a Google toolbar back in the day or like a 297 00:13:53,040 --> 00:13:55,720 Speaker 1: normal company, So it's just tougher to get off your machine. 298 00:13:55,720 --> 00:13:59,800 Speaker 1: So what I'd recommend is malware bytes. So I think 299 00:13:59,840 --> 00:14:03,480 Speaker 1: that malware bytes is you know, it will find this 300 00:14:03,520 --> 00:14:05,960 Speaker 1: stuff on your computer and help you uninstall it. So 301 00:14:06,160 --> 00:14:10,880 Speaker 1: that's the main thing. If that doesn't work, I mean 302 00:14:10,920 --> 00:14:13,800 Speaker 1: I think that'll work. So it should work. And there's 303 00:14:13,840 --> 00:14:16,000 Speaker 1: if you actually search on Google for how to get 304 00:14:16,080 --> 00:14:18,800 Speaker 1: rid of my search dot com redirect, you'll see. It's 305 00:14:18,800 --> 00:14:20,040 Speaker 1: funny because I you know, I help a lot of 306 00:14:20,080 --> 00:14:23,280 Speaker 1: people with their computers, and I can tell whenever someone's 307 00:14:23,280 --> 00:14:25,280 Speaker 1: like I'm having trouble with my computer. If I start 308 00:14:25,320 --> 00:14:28,680 Speaker 1: searching on Google and it goes like some random search, 309 00:14:28,760 --> 00:14:30,680 Speaker 1: I'm like, oh, well, first off, you have malware on 310 00:14:30,720 --> 00:14:32,880 Speaker 1: your computer. And this happens all the time, Like people 311 00:14:32,880 --> 00:14:35,320 Speaker 1: don't even realize, like you'll get like these random like 312 00:14:35,400 --> 00:14:39,960 Speaker 1: my Way Search. I mean, there's so many random search toolbars. Yeah, 313 00:14:40,000 --> 00:14:41,880 Speaker 1: like engines that are like and they're all just the 314 00:14:41,880 --> 00:14:44,800 Speaker 1: way they make money is they're just hijacking the ad data, 315 00:14:44,840 --> 00:14:46,400 Speaker 1: so they're trying to get you to click on ads. 316 00:14:46,600 --> 00:14:48,800 Speaker 1: They get a little portion of that referral fee, and 317 00:14:48,840 --> 00:14:52,200 Speaker 1: then they make money. It's a whole terrible industry. But 318 00:14:52,880 --> 00:14:55,040 Speaker 1: malware bytes I think should get rid of it. They're 319 00:14:55,080 --> 00:14:58,160 Speaker 1: the biggest kind of like anti malware. And it's usually free. 320 00:14:58,160 --> 00:14:59,680 Speaker 1: You can download it for free. I'm sure there's some 321 00:14:59,680 --> 00:15:02,440 Speaker 1: paid versions of it, but it's it's usually free and 322 00:15:02,480 --> 00:15:04,400 Speaker 1: it gets good reviews, Like a lot of the tech 323 00:15:04,400 --> 00:15:08,320 Speaker 1: people recommend it because it is pretty legit. So now 324 00:15:08,360 --> 00:15:11,200 Speaker 1: we talked about the bad side of China, which is 325 00:15:11,200 --> 00:15:15,560 Speaker 1: the censorship, but I will talk about the benefit of China, 326 00:15:15,600 --> 00:15:19,000 Speaker 1: the amazing part of China, which is like the people 327 00:15:19,040 --> 00:15:23,600 Speaker 1: here are very kind. I describe them as gentle, like 328 00:15:23,640 --> 00:15:25,400 Speaker 1: they just seem like I mean, we're in a city 329 00:15:25,480 --> 00:15:27,960 Speaker 1: of Shanghai which has I think like twenty four million people, 330 00:15:28,920 --> 00:15:31,640 Speaker 1: and it seems like the people here are just so 331 00:15:31,920 --> 00:15:34,720 Speaker 1: like nice and like not just nice to us, but 332 00:15:35,080 --> 00:15:37,680 Speaker 1: kind to like they're fellow human, which I find really 333 00:15:37,760 --> 00:15:39,760 Speaker 1: interesting because you're in LA and it's like it's every 334 00:15:39,760 --> 00:15:42,800 Speaker 1: man for himself, you know, and especially with the traffic 335 00:15:42,840 --> 00:15:45,840 Speaker 1: and all this stuff. But it's and it's also really clean. 336 00:15:46,400 --> 00:15:49,440 Speaker 1: So the city we were driving and I just could 337 00:15:49,520 --> 00:15:51,720 Speaker 1: not believe, and I remember this from China last time, 338 00:15:52,280 --> 00:15:56,520 Speaker 1: they keep this place so clean. It's just unbelievable because 339 00:15:56,520 --> 00:16:00,160 Speaker 1: you're in a big city, but it is pristine and 340 00:16:00,200 --> 00:16:02,120 Speaker 1: you can argue, you know, the government the way it 341 00:16:02,160 --> 00:16:04,000 Speaker 1: is here and all that stuff, but I don't care. 342 00:16:04,000 --> 00:16:06,600 Speaker 1: I'm putting all that aside. Like still they have figured 343 00:16:06,640 --> 00:16:11,200 Speaker 1: out somehow in twenty nineteen, with twenty four million people 344 00:16:11,280 --> 00:16:14,760 Speaker 1: to keep the streets clean. The flowers were like, I mean, 345 00:16:14,800 --> 00:16:17,480 Speaker 1: I couldn't believe that just a regular street where you're 346 00:16:17,520 --> 00:16:23,600 Speaker 1: driving was so nice. Now let's compare that to Los Angeles, 347 00:16:24,000 --> 00:16:26,720 Speaker 1: where I always say that the big city has given 348 00:16:26,800 --> 00:16:29,760 Speaker 1: up on the people because you drive in La even 349 00:16:29,800 --> 00:16:32,200 Speaker 1: Sunset Boulevard, which is a street that is like the 350 00:16:32,320 --> 00:16:35,000 Speaker 1: nicest street in the world. I mean, who doesn't know 351 00:16:35,040 --> 00:16:37,920 Speaker 1: Sunset Boulevard or Hollywood Boulevard and you drive down them 352 00:16:37,960 --> 00:16:40,400 Speaker 1: and there's trash, everywhere. I mean, you know the problem 353 00:16:40,440 --> 00:16:42,880 Speaker 1: in LA it's really bad. I mean it's trash everywhere. 354 00:16:43,360 --> 00:16:47,640 Speaker 1: The streets, you're not maintained, nothing's maintained. And so to 355 00:16:47,800 --> 00:16:51,320 Speaker 1: see a city like this that has somehow figured it out. 356 00:16:51,680 --> 00:16:54,200 Speaker 1: And I'm not just singling out LA. I mean New 357 00:16:54,280 --> 00:16:56,320 Speaker 1: York City, same thing, a lot of this. It's just 358 00:16:56,400 --> 00:16:59,480 Speaker 1: thirty San Francisco. I don't even want to start on 359 00:16:59,520 --> 00:17:01,600 Speaker 1: that one. And that's like the dirtiest city I've ever 360 00:17:01,600 --> 00:17:04,639 Speaker 1: seen at this point. So what is it about America? 361 00:17:04,800 --> 00:17:07,240 Speaker 1: And again, and you know, don't call me like a 362 00:17:07,320 --> 00:17:10,440 Speaker 1: China lover. I mean, look at Tokyo, Japan, same thing, 363 00:17:10,840 --> 00:17:13,800 Speaker 1: huge city it is. I would eat my lunch off 364 00:17:13,880 --> 00:17:17,680 Speaker 1: the streets in Tokyo. It's that clean. For a yeah, 365 00:17:17,720 --> 00:17:20,399 Speaker 1: I wouldn't do that. But my point is, like it's part. 366 00:17:20,240 --> 00:17:22,679 Speaker 2: Of Sunset that I was saying, But there's that one 367 00:17:22,720 --> 00:17:25,160 Speaker 2: part of Sunset, Well that's in West Hollywood, which. 368 00:17:24,880 --> 00:17:27,680 Speaker 3: Is part of LA. So like they figured something out. 369 00:17:27,920 --> 00:17:30,400 Speaker 1: You go to the Hills, Beverly Hills, you go through 370 00:17:30,400 --> 00:17:33,320 Speaker 1: the streets there, they're perfect. You go through West Hollywood, 371 00:17:33,320 --> 00:17:36,080 Speaker 1: they're perfect. You go to Santa Monica. It starts you know. 372 00:17:36,160 --> 00:17:37,800 Speaker 1: I mean some areas of Santa Monica could be a 373 00:17:37,800 --> 00:17:40,840 Speaker 1: little dicey, but it's it's pretty clean compared to its 374 00:17:41,080 --> 00:17:44,520 Speaker 1: LA at large, So city of Los Angeles, you know, 375 00:17:44,680 --> 00:17:47,000 Speaker 1: bring your people out here to China and see how 376 00:17:47,040 --> 00:17:49,880 Speaker 1: it works in Shanghai. How do they have all these 377 00:17:49,880 --> 00:17:52,800 Speaker 1: people and somehow they keep the place clean because LA 378 00:17:52,920 --> 00:17:55,040 Speaker 1: we can't seem to figure that out, and it'd be 379 00:17:55,119 --> 00:17:57,240 Speaker 1: nice if we could. The other thing I noticed about 380 00:17:57,240 --> 00:18:00,920 Speaker 1: the people here is that everything is mobile, Like everything 381 00:18:01,080 --> 00:18:03,600 Speaker 1: is done on your phone. We can't get I've I've 382 00:18:03,600 --> 00:18:07,680 Speaker 1: been talking about QR codes literally for fifteen years talking 383 00:18:07,720 --> 00:18:10,920 Speaker 1: about technology. I still can't get the average person to 384 00:18:10,920 --> 00:18:14,040 Speaker 1: scan a QR code. Here in China, everything is scan 385 00:18:14,160 --> 00:18:17,320 Speaker 1: this QR code, you can pay, scan this we Chat 386 00:18:17,400 --> 00:18:19,760 Speaker 1: you can do payment. Everything's through we Chat, this app 387 00:18:19,800 --> 00:18:22,919 Speaker 1: that's kind of like their messaging app basically, but it 388 00:18:22,920 --> 00:18:27,359 Speaker 1: does everything, does everything. So I mean, it's just funny that, 389 00:18:27,480 --> 00:18:34,800 Speaker 1: like somehow it's America is very forward facing. Yeah, Like 390 00:18:34,840 --> 00:18:37,480 Speaker 1: we're very old school in a lot of like weird ways, 391 00:18:37,560 --> 00:18:40,160 Speaker 1: like with this whole mobile payment thing, like people are 392 00:18:40,200 --> 00:18:42,439 Speaker 1: you know, like mobile payments and tap to pay have 393 00:18:42,480 --> 00:18:44,840 Speaker 1: been a thing in other countries for like years. Yeah, 394 00:18:44,880 --> 00:18:46,960 Speaker 1: and like somehow in the US, like people are still 395 00:18:47,000 --> 00:18:49,679 Speaker 1: hesitant to use tap to pay or like mobile payment. 396 00:18:50,240 --> 00:18:52,560 Speaker 1: Venmo is taken off, but I'm not a big fan 397 00:18:52,600 --> 00:18:57,760 Speaker 1: of that. So right anyway, right, all right, I feel 398 00:18:57,760 --> 00:18:59,240 Speaker 1: I sound like I'm moving to China. 399 00:18:59,320 --> 00:19:00,600 Speaker 3: I know you're gonna move. 400 00:19:01,080 --> 00:19:04,000 Speaker 1: I just bought an apartment here, So okay. 401 00:19:03,560 --> 00:19:04,680 Speaker 3: That's what you're doing yesterday. 402 00:19:04,680 --> 00:19:08,280 Speaker 1: You're looking at apartments house hunting International house Hunters, which 403 00:19:08,400 --> 00:19:09,240 Speaker 1: with Rich DeMuro. 404 00:19:10,440 --> 00:19:14,439 Speaker 3: Okay, so question time. Next question comes from Anthony Laura. 405 00:19:14,840 --> 00:19:16,080 Speaker 3: This name sounds very familiar. 406 00:19:16,160 --> 00:19:17,879 Speaker 1: I feel like we've had a question or do we 407 00:19:17,960 --> 00:19:21,399 Speaker 1: do this question? Okay, well, let's hear we'ven't done it yet. Okay. 408 00:19:22,240 --> 00:19:26,199 Speaker 2: So his question has to do with Pandora or Spotify. 409 00:19:27,200 --> 00:19:29,240 Speaker 2: He said, I might have missed something, but what is 410 00:19:29,280 --> 00:19:33,679 Speaker 2: your review and or recommendation between Pandora or Spotify? 411 00:19:33,960 --> 00:19:35,880 Speaker 3: Paid or free? Either one. 412 00:19:37,400 --> 00:19:40,800 Speaker 1: If you're gonna go paid, I'd go Spotify. I mean 413 00:19:41,119 --> 00:19:43,760 Speaker 1: it's kind of like the market leader, you know, it 414 00:19:43,840 --> 00:19:46,600 Speaker 1: just has everything you need. So I mean that would 415 00:19:46,640 --> 00:19:50,200 Speaker 1: be my choice for a paid now for free, I 416 00:19:50,359 --> 00:19:52,560 Speaker 1: really like Pandora. I think it's great. I think that 417 00:19:52,600 --> 00:19:55,439 Speaker 1: there's two things going on here. Number one to me 418 00:19:55,760 --> 00:19:58,080 Speaker 1: when I started using Pandora, because one the feature I 419 00:19:58,119 --> 00:20:00,720 Speaker 1: love about Pandora and I have used it off. Okay, 420 00:20:00,760 --> 00:20:03,560 Speaker 1: so have you ever seen We're like basically you choose 421 00:20:03,600 --> 00:20:05,560 Speaker 1: your stations, right and once you have them, they're great. 422 00:20:05,600 --> 00:20:07,280 Speaker 1: They play music that you kind of love, right like 423 00:20:07,280 --> 00:20:09,280 Speaker 1: it always kind of figures out like good music for you. 424 00:20:09,720 --> 00:20:13,280 Speaker 1: But my favorite feature was the Shuffle all of your 425 00:20:13,280 --> 00:20:16,280 Speaker 1: Stations feature. So like a lot of times with like Spotify, 426 00:20:16,320 --> 00:20:18,879 Speaker 1: you're locked into like country music or pop music or 427 00:20:19,000 --> 00:20:22,119 Speaker 1: rap music, right well, sometimes I like a mix of 428 00:20:22,160 --> 00:20:24,120 Speaker 1: things like everyone has, Like you know, remember the old 429 00:20:24,160 --> 00:20:26,439 Speaker 1: mixtape where you get like a bunch like a random 430 00:20:26,440 --> 00:20:29,040 Speaker 1: song next to another random song, right, Well, that's kind 431 00:20:29,040 --> 00:20:31,919 Speaker 1: of lost with all these playlists now that we're experiencing 432 00:20:31,960 --> 00:20:35,760 Speaker 1: on these services. And so I really like the feature 433 00:20:35,760 --> 00:20:38,159 Speaker 1: on Pandora where you choose your whatever stations, you know, 434 00:20:38,240 --> 00:20:40,400 Speaker 1: five stations or whatever you want, and then you say 435 00:20:40,400 --> 00:20:42,520 Speaker 1: shuffle my stations, and then all of a sudden, I'll 436 00:20:42,520 --> 00:20:44,640 Speaker 1: pull a country song from your country station, It'll pull 437 00:20:44,680 --> 00:20:47,199 Speaker 1: a pop song from your pop station, it'll pull a 438 00:20:47,320 --> 00:20:50,320 Speaker 1: jazz song from your jazz station. I find that really cool. 439 00:20:50,840 --> 00:20:53,199 Speaker 1: So that's what I like about Pandora. The downside of 440 00:20:53,200 --> 00:20:55,959 Speaker 1: Pandora to me is that I don't think the it 441 00:20:56,000 --> 00:20:58,480 Speaker 1: doesn't have as much music as like Spotify, so I 442 00:20:58,520 --> 00:21:00,880 Speaker 1: feel like you hear the same stuff over and over 443 00:21:00,960 --> 00:21:03,840 Speaker 1: and over. So that's that's number one. And ads. Also, 444 00:21:03,960 --> 00:21:06,840 Speaker 1: like you said free or paid, I mean you got 445 00:21:06,840 --> 00:21:09,320 Speaker 1: to pay because even if you're doing the free Pandora, 446 00:21:09,320 --> 00:21:11,200 Speaker 1: there's way too many ads, so you have to pay 447 00:21:11,200 --> 00:21:13,560 Speaker 1: the five dollars a month just to get Oh my gosh, 448 00:21:13,600 --> 00:21:16,840 Speaker 1: it's crazy. And nothing bugs me more than like being 449 00:21:16,960 --> 00:21:20,680 Speaker 1: like a you know, hairplace, like a whatever, like where 450 00:21:20,680 --> 00:21:23,359 Speaker 1: they're playing like Pandora or like an uber and you 451 00:21:23,359 --> 00:21:25,280 Speaker 1: hear like an ad and I'm like, seriously, like just 452 00:21:25,320 --> 00:21:26,920 Speaker 1: pay the five dollars a month and get rid of 453 00:21:26,960 --> 00:21:30,359 Speaker 1: these ads because you're like, come on, wasting my time. 454 00:21:30,720 --> 00:21:33,800 Speaker 1: But also check out Spotify Stations. That's the new app 455 00:21:33,960 --> 00:21:36,879 Speaker 1: that is kind of like their answer to Pandora. So 456 00:21:36,960 --> 00:21:41,880 Speaker 1: what I do was it Jose Laura Anthony, Anthony, Lara Anthony. 457 00:21:41,920 --> 00:21:45,560 Speaker 1: What I would say is I would pay for Spotify 458 00:21:45,680 --> 00:21:49,480 Speaker 1: ten dollars a month download Spotify and then download Spotify Stations, 459 00:21:49,520 --> 00:21:51,800 Speaker 1: which is basically their version of Pandora, So you get 460 00:21:51,800 --> 00:21:53,159 Speaker 1: the best of both worlds. When you want all the 461 00:21:53,200 --> 00:21:55,359 Speaker 1: cool playlists, you go there. If you just want the 462 00:21:55,480 --> 00:21:58,040 Speaker 1: sort of Pandora, sit back, not really think very much, 463 00:21:58,080 --> 00:22:01,560 Speaker 1: experience use the stations. So what do you think of that? 464 00:22:01,600 --> 00:22:02,720 Speaker 1: Answer Megan, I love. 465 00:22:02,600 --> 00:22:05,040 Speaker 2: It, and I love their new app to Spotify's new 466 00:22:05,160 --> 00:22:06,120 Speaker 2: like the stations. 467 00:22:06,200 --> 00:22:09,200 Speaker 1: Yeah, yeah, it's really fast. It's like basically you download 468 00:22:09,240 --> 00:22:11,760 Speaker 1: it and you choose the station and it just starts 469 00:22:11,760 --> 00:22:13,280 Speaker 1: playing and then when you open the app again, it 470 00:22:13,359 --> 00:22:16,720 Speaker 1: just starts playing music like instantly. Yeah, and it's really 471 00:22:16,800 --> 00:22:22,359 Speaker 1: really fast. More about China. So back to China. So 472 00:22:22,520 --> 00:22:25,160 Speaker 1: one of the things I thought was really interesting here 473 00:22:25,280 --> 00:22:29,280 Speaker 1: is that. So when I was in China the last time, 474 00:22:29,520 --> 00:22:31,480 Speaker 1: which was a couple of years ago, they had Uber 475 00:22:31,800 --> 00:22:33,040 Speaker 1: and I thought it was so cool that I was 476 00:22:33,040 --> 00:22:35,639 Speaker 1: able to use Uber and I got actually got tripped 477 00:22:35,720 --> 00:22:38,359 Speaker 1: up because here's what happened. So I took Uber from 478 00:22:38,480 --> 00:22:42,919 Speaker 1: let's say, the convention center to the electronics store that 479 00:22:42,960 --> 00:22:45,600 Speaker 1: I wanted to check out. It's like this giant, giant, 480 00:22:45,680 --> 00:22:48,359 Speaker 1: like twelve story electronics store, right, So That was easy 481 00:22:48,359 --> 00:22:50,720 Speaker 1: because I just my pick up point was a convention center, 482 00:22:50,760 --> 00:22:53,120 Speaker 1: which is well known, and the electronic store is well known. 483 00:22:53,200 --> 00:22:56,560 Speaker 1: Super simple. What I did not think about is going 484 00:22:56,560 --> 00:23:00,240 Speaker 1: from the electronics store back to the convention center. IMPOSSI 485 00:23:00,400 --> 00:23:03,679 Speaker 1: to get my Uber because it was such a busy 486 00:23:03,720 --> 00:23:07,040 Speaker 1: area there was no way. So what happened was I said, 487 00:23:07,119 --> 00:23:09,359 Speaker 1: you know, I could put the locations in, but the 488 00:23:09,480 --> 00:23:12,159 Speaker 1: Uber driver kept calling me to say where are you? 489 00:23:12,200 --> 00:23:15,200 Speaker 1: Like who are you? You know? Because yes, I could 490 00:23:15,240 --> 00:23:18,159 Speaker 1: not understand. So it was really bad. And I was like, so, 491 00:23:18,600 --> 00:23:20,359 Speaker 1: bottom line, we have to take a taxi because I 492 00:23:20,400 --> 00:23:23,160 Speaker 1: just waved one down, but you know, not ideal because 493 00:23:23,160 --> 00:23:23,679 Speaker 1: I don't you know. 494 00:23:23,880 --> 00:23:25,600 Speaker 3: But with that, did you have to show them in 495 00:23:25,720 --> 00:23:27,159 Speaker 3: Chinese where you were trying to go? 496 00:23:27,640 --> 00:23:30,000 Speaker 1: It was pretty easy, yeah, because I just said conventions, 497 00:23:30,000 --> 00:23:31,520 Speaker 1: you know, I showed them like I forget what I 498 00:23:31,520 --> 00:23:34,400 Speaker 1: showed them, but it was it was easy. They figured out. Yeah, 499 00:23:34,440 --> 00:23:37,199 Speaker 1: but Uber is gone. They're no longer in China as 500 00:23:37,240 --> 00:23:39,280 Speaker 1: far as I can tell. What they do have is 501 00:23:39,320 --> 00:23:43,400 Speaker 1: this thing called d D And I was very hesitant 502 00:23:43,440 --> 00:23:45,400 Speaker 1: because I was like, well, this is a Chinese service. 503 00:23:45,440 --> 00:23:47,679 Speaker 1: I'm not really sure how it's going to work, you know. 504 00:23:47,800 --> 00:23:49,919 Speaker 1: I just don't know. And when you don't know, it's like, 505 00:23:50,080 --> 00:23:53,600 Speaker 1: especially when it's a service that's not from your native country, 506 00:23:53,920 --> 00:23:55,600 Speaker 1: I'm like hesitant to sign up. Are they going to 507 00:23:55,640 --> 00:23:58,920 Speaker 1: take my credit card? I just didn't know, right. So 508 00:23:59,040 --> 00:24:02,080 Speaker 1: I was at breakfast and one of the other people 509 00:24:02,080 --> 00:24:04,000 Speaker 1: on the trip was like, oh, DDI's great, got to 510 00:24:04,040 --> 00:24:05,680 Speaker 1: try it. So I was like, oh, so that's all 511 00:24:05,680 --> 00:24:08,000 Speaker 1: I need another American and so I downloaded d D 512 00:24:08,280 --> 00:24:10,600 Speaker 1: and I signed up, which was, you know, pretty simple, 513 00:24:10,680 --> 00:24:13,560 Speaker 1: and they took my credit card, and I got to 514 00:24:13,600 --> 00:24:17,400 Speaker 1: say very impressed they We have taken them about ten 515 00:24:17,440 --> 00:24:21,679 Speaker 1: times since we've been here. They have so many selections, 516 00:24:21,760 --> 00:24:23,399 Speaker 1: kind of like Uber where you can choose like what 517 00:24:23,480 --> 00:24:25,879 Speaker 1: kind of car you want? You know, the drivers, I 518 00:24:26,240 --> 00:24:29,840 Speaker 1: will say, the level of driver I've seen was amazing. 519 00:24:30,040 --> 00:24:32,520 Speaker 3: Yeah, Like drivers are really great here. 520 00:24:32,640 --> 00:24:35,320 Speaker 1: Like they don't talk, and if they did talk, they 521 00:24:35,320 --> 00:24:37,679 Speaker 1: were very friendly. They didn't really speak English most of 522 00:24:37,680 --> 00:24:39,520 Speaker 1: the time, or they would speak Chinese. 523 00:24:39,560 --> 00:24:41,880 Speaker 2: They keep speaking, but they like totally knew we didn't 524 00:24:41,880 --> 00:24:43,800 Speaker 2: speak Chinese. But it was just to show that they 525 00:24:43,800 --> 00:24:45,200 Speaker 2: were like trying to be social. 526 00:24:45,440 --> 00:24:48,200 Speaker 1: I never understand that okay, like like you're literally looking 527 00:24:48,200 --> 00:24:50,920 Speaker 1: at them like with the most blank stare in your eyes. Yeah, 528 00:24:50,960 --> 00:24:53,040 Speaker 1: and they're still just like every step of the way, 529 00:24:53,040 --> 00:24:56,360 Speaker 1: they're like talking like telling you something. Yeah, I don't know, 530 00:24:56,520 --> 00:24:59,280 Speaker 1: I don't even understand what you're saying. But they were amazing. 531 00:24:59,320 --> 00:25:02,040 Speaker 1: And the other thing that we noticed is what that 532 00:25:02,080 --> 00:25:03,200 Speaker 1: they never they. 533 00:25:03,400 --> 00:25:06,399 Speaker 3: Oh no radio. Yeah, it's completely silent. 534 00:25:06,480 --> 00:25:08,760 Speaker 1: It's silent, like I'm talking. It's not even that the 535 00:25:08,840 --> 00:25:11,560 Speaker 1: radio is turned down, Like in the center console was 536 00:25:11,600 --> 00:25:13,639 Speaker 1: just a clock every time, right, it was like the 537 00:25:13,880 --> 00:25:15,920 Speaker 1: the system was turned off. 538 00:25:16,359 --> 00:25:16,639 Speaker 3: Yeah. 539 00:25:16,680 --> 00:25:18,040 Speaker 1: So I don't know if that's a d D thing 540 00:25:18,359 --> 00:25:21,400 Speaker 1: or you know whatever, but that's or that's just the way. 541 00:25:21,520 --> 00:25:24,520 Speaker 1: But and they were so professional. I'm talking on like 542 00:25:24,720 --> 00:25:28,399 Speaker 1: when I'm in Uber number one. Sorry Uber, but the 543 00:25:28,760 --> 00:25:31,480 Speaker 1: driving is terrible. I mean is it's horrible. 544 00:25:31,640 --> 00:25:32,840 Speaker 3: The drivers are bad. 545 00:25:32,880 --> 00:25:36,000 Speaker 1: They're so bad, and you get on the freeway and 546 00:25:36,320 --> 00:25:38,119 Speaker 1: your life is at state because they're going one hundred 547 00:25:38,119 --> 00:25:39,600 Speaker 1: miles an hour on the way to the airport. And 548 00:25:39,600 --> 00:25:40,879 Speaker 1: this is why I don't like to take Uber to 549 00:25:40,880 --> 00:25:43,560 Speaker 1: the airport, because they're going one hundred miles an hour 550 00:25:43,640 --> 00:25:46,000 Speaker 1: on the four or five and I'm like, dude, I 551 00:25:46,040 --> 00:25:49,280 Speaker 1: don't need to die on the way to the airport. Yeah, 552 00:25:49,440 --> 00:25:51,160 Speaker 1: I don't need to go one hundred miles an hour. 553 00:25:51,440 --> 00:25:53,720 Speaker 1: I will easily be happy with the speed limit. So 554 00:25:53,880 --> 00:25:55,800 Speaker 1: you know, I've got kids at home, like please. 555 00:25:55,600 --> 00:25:56,800 Speaker 3: Like just want to make it. 556 00:25:56,840 --> 00:25:57,520 Speaker 1: I want to make it. 557 00:25:57,680 --> 00:25:57,920 Speaker 4: Yeah. 558 00:25:57,960 --> 00:25:59,720 Speaker 1: And it's not like they're good drivers at a hundred 559 00:25:59,760 --> 00:26:02,479 Speaker 1: miles or like they're literally I will tell you, I 560 00:26:02,520 --> 00:26:05,320 Speaker 1: think out of the past twenty times I've been an UBER, 561 00:26:05,600 --> 00:26:08,480 Speaker 1: I might have gotten into an accident twenty times because 562 00:26:08,480 --> 00:26:11,159 Speaker 1: they do weird things that like normal drivers don't do, 563 00:26:11,280 --> 00:26:13,359 Speaker 1: Like they pull out into the thing without looking, or 564 00:26:13,440 --> 00:26:16,040 Speaker 1: like they you know, switch lanes and there's a car 565 00:26:16,080 --> 00:26:18,480 Speaker 1: that hanks at them. It's really bad. Yeah, and I'm 566 00:26:18,480 --> 00:26:21,240 Speaker 1: not you know, maybe it's not the higher levels, like 567 00:26:21,280 --> 00:26:23,600 Speaker 1: I'm talking Uber X most of the time if i 568 00:26:23,640 --> 00:26:25,600 Speaker 1: want like a better drive, like if I'm putting my 569 00:26:25,640 --> 00:26:27,439 Speaker 1: mom in an Uber most of the time, getting her 570 00:26:27,480 --> 00:26:29,800 Speaker 1: like the select or something like that, right, because the 571 00:26:30,200 --> 00:26:33,280 Speaker 1: drivers do get better when you get the higher levels, right, 572 00:26:34,040 --> 00:26:36,960 Speaker 1: But it's it's kind of it's sketchy, like they let 573 00:26:36,960 --> 00:26:38,640 Speaker 1: anyone be a driver for Uber at this point. 574 00:26:38,680 --> 00:26:42,760 Speaker 3: And I think the reason why, Deity what, I don't know. 575 00:26:42,880 --> 00:26:45,560 Speaker 5: I think it works well because right when you order 576 00:26:45,600 --> 00:26:48,639 Speaker 5: your ride, it asks to like listen to you. 577 00:26:48,960 --> 00:26:50,440 Speaker 1: Yeah, that's also really weird. 578 00:26:50,520 --> 00:26:54,400 Speaker 2: Basically accesses your audio and your camera so they can 579 00:26:54,440 --> 00:26:56,399 Speaker 2: like watch you. But I'm sure it's the same for 580 00:26:56,440 --> 00:26:59,480 Speaker 2: the driver, so like they really can't like there's a 581 00:26:59,520 --> 00:27:01,280 Speaker 2: reason why they do that so that you don't get 582 00:27:01,280 --> 00:27:03,760 Speaker 2: in the car and you're not crazy, you're like saying weird. 583 00:27:03,520 --> 00:27:05,240 Speaker 3: Stuff to the driver, right vice versa. 584 00:27:05,640 --> 00:27:07,760 Speaker 2: Yeah, And like I think that's another reason why Uber 585 00:27:07,800 --> 00:27:09,760 Speaker 2: has a lot of challenges is because there's no one 586 00:27:09,920 --> 00:27:13,160 Speaker 2: like really watching to make sure that like everything's going right. 587 00:27:13,840 --> 00:27:16,119 Speaker 1: It was weird because and what Megan's referring to is 588 00:27:16,119 --> 00:27:18,200 Speaker 1: when you download the app and you take your first ride, 589 00:27:18,480 --> 00:27:21,920 Speaker 1: they're very big on safety. Like they say, we number 590 00:27:21,960 --> 00:27:24,679 Speaker 1: one set in emergency contact. They tell you exactly how 591 00:27:24,680 --> 00:27:26,639 Speaker 1: to call the police. Like it was a little disconcerted, 592 00:27:27,040 --> 00:27:30,280 Speaker 1: like an option, yeah, like emergency you're in the car, 593 00:27:30,359 --> 00:27:32,320 Speaker 1: which Uber has gotten. Now they do have that like 594 00:27:32,359 --> 00:27:35,479 Speaker 1: a safety center, but it's like legit. They're like number one. 595 00:27:35,520 --> 00:27:37,840 Speaker 1: They asked me for we need to record your audio 596 00:27:37,920 --> 00:27:39,639 Speaker 1: while you're in the car. When you start this trip, 597 00:27:39,840 --> 00:27:42,440 Speaker 1: we're going to access your microphone and record everything, which 598 00:27:42,440 --> 00:27:44,040 Speaker 1: I was like, okay, I mean that's kind of weird, 599 00:27:44,040 --> 00:27:47,479 Speaker 1: but it makes sense, right, Yeah. And then the second 600 00:27:47,640 --> 00:27:50,480 Speaker 1: second drive we took, they asked for video permission. They said, 601 00:27:50,480 --> 00:27:53,520 Speaker 1: can we access your camera? And I thought, I mean again, 602 00:27:53,560 --> 00:27:55,159 Speaker 1: it kind of is funny because we're in China with 603 00:27:55,200 --> 00:27:57,919 Speaker 1: the surveillance society, and it like, yeah, it's kind of 604 00:27:57,960 --> 00:27:59,720 Speaker 1: funny that the d D would ask to do that. 605 00:27:59,760 --> 00:28:02,000 Speaker 1: But I was totally like, all right, cool, yeah, and 606 00:28:02,040 --> 00:28:05,760 Speaker 1: maybe it does bring that higher level of quality because 607 00:28:05,840 --> 00:28:08,679 Speaker 1: they know that they're being watched. Ye, so and I 608 00:28:08,720 --> 00:28:10,080 Speaker 1: was on my best behavior because of that. 609 00:28:11,680 --> 00:28:15,720 Speaker 3: The driver, oh, by the way, yellows at drivers. 610 00:28:16,720 --> 00:28:18,320 Speaker 1: And one thing I did not talk about was how 611 00:28:18,480 --> 00:28:21,719 Speaker 1: cheap the d D drives were. I mean, I'm talking. 612 00:28:21,880 --> 00:28:23,960 Speaker 1: I couldn't when I was doing the translations or the 613 00:28:24,000 --> 00:28:26,680 Speaker 1: conversions of the currency, I was like, this doesn't make sense. 614 00:28:26,720 --> 00:28:28,640 Speaker 2: It was like eight bucks for like also, by the way, 615 00:28:28,680 --> 00:28:31,600 Speaker 2: on his Apple Watch, which maybe you want to get 616 00:28:31,600 --> 00:28:34,000 Speaker 2: an Apple Watch even more, Oh my gosh. 617 00:28:34,040 --> 00:28:37,440 Speaker 1: The best app that I downloaded gat it's called elk 618 00:28:37,680 --> 00:28:41,400 Speaker 1: elk and it is just amazing. It's so easy to 619 00:28:41,640 --> 00:28:45,240 Speaker 1: convert your currency in like two seconds. I loved it. 620 00:28:45,280 --> 00:28:46,840 Speaker 1: I was doing it the whole time when you saw me. 621 00:28:46,880 --> 00:28:49,960 Speaker 1: It's just fantastic. Elk elk. I think I'm on a 622 00:28:49,960 --> 00:28:52,160 Speaker 1: free trial. I think it's a paid app. But I 623 00:28:52,720 --> 00:28:54,560 Speaker 1: did a lot of free trials for this trip. I 624 00:28:54,560 --> 00:28:56,680 Speaker 1: did like a free trial of that. I did a 625 00:28:56,720 --> 00:28:59,320 Speaker 1: free trial of Apple News Plus to download magazines. I 626 00:28:59,320 --> 00:29:02,760 Speaker 1: did a free trial like HBO, Cinemax Showtime to download 627 00:29:02,800 --> 00:29:06,560 Speaker 1: movies through Apple TV, like the new service because all 628 00:29:06,600 --> 00:29:08,200 Speaker 1: their channels you can download everything. 629 00:29:08,360 --> 00:29:08,719 Speaker 2: Yeah. 630 00:29:08,760 --> 00:29:11,239 Speaker 1: So anyway, so I did a lot of free trials. Oh, 631 00:29:11,240 --> 00:29:14,440 Speaker 1: by the way, one little tip about free trials. When 632 00:29:14,480 --> 00:29:18,479 Speaker 1: you sign up for them, go do you know this? No, 633 00:29:18,960 --> 00:29:22,080 Speaker 1: cancel it right away. Just go right into subscriptions on 634 00:29:22,120 --> 00:29:24,640 Speaker 1: your iPhone and cancel because you still get it till 635 00:29:24,680 --> 00:29:26,840 Speaker 1: the end of the thing. Now. The only one I 636 00:29:26,880 --> 00:29:29,440 Speaker 1: noticed that does not let you do that, Apple, Shame 637 00:29:29,480 --> 00:29:32,840 Speaker 1: on you is Apple News. They say su as you cancel, 638 00:29:32,920 --> 00:29:34,960 Speaker 1: it's over. So that one I do have to cancel 639 00:29:35,080 --> 00:29:38,000 Speaker 1: after before my month is I think it's a month, right, yeah, 640 00:29:38,040 --> 00:29:41,239 Speaker 1: But all the other ones, Cinemax do cancel su as 641 00:29:41,240 --> 00:29:43,840 Speaker 1: you sign up because you don't forget, just go right 642 00:29:43,880 --> 00:29:45,440 Speaker 1: in and you still have it for the week. 643 00:29:46,240 --> 00:29:49,480 Speaker 3: What that reminds me because I signed up for one 644 00:29:49,520 --> 00:29:51,640 Speaker 3: of those gym things. It's like you can go to 645 00:29:51,800 --> 00:29:53,560 Speaker 3: a gym ten times. 646 00:29:53,160 --> 00:29:55,400 Speaker 1: For oh okay, I don't know, gym pass or something, 647 00:29:56,160 --> 00:30:00,239 Speaker 1: and yeah, well good luck canceling that from China. Oh 648 00:30:01,040 --> 00:30:02,160 Speaker 1: all right, you have another question? 649 00:30:02,640 --> 00:30:07,360 Speaker 2: Yes, okay, So next question is from Teresa Malone. 650 00:30:07,960 --> 00:30:10,040 Speaker 3: Is this a scam? Is the subject? 651 00:30:10,280 --> 00:30:13,560 Speaker 2: I just go I just got a telephone robocall saying 652 00:30:13,560 --> 00:30:17,440 Speaker 2: that Microsoft is going to automatically deduct four hundred and 653 00:30:17,480 --> 00:30:20,280 Speaker 2: thirty four dollars from my bank account for support on 654 00:30:20,320 --> 00:30:24,480 Speaker 2: a Microsoft product. The recorded voice asked me to press 655 00:30:24,520 --> 00:30:26,880 Speaker 2: a number for a reason that I don't remember. 656 00:30:27,440 --> 00:30:29,720 Speaker 3: As I was so freaked out, I hung up after that. 657 00:30:30,480 --> 00:30:32,560 Speaker 2: I believe this is a scam, as I have never 658 00:30:32,600 --> 00:30:35,360 Speaker 2: given Microsoft any financial information. 659 00:30:36,120 --> 00:30:38,360 Speaker 3: Is this real or a new way to cheat people? 660 00:30:38,760 --> 00:30:41,600 Speaker 3: Please look into this. 661 00:30:41,600 --> 00:30:43,880 Speaker 1: This this has been going on for a long time. 662 00:30:44,360 --> 00:30:47,360 Speaker 1: The Microsoft scams are like a dime a dozen they 663 00:30:47,360 --> 00:30:49,200 Speaker 1: are calling. I mean, we've done stories on this on 664 00:30:49,280 --> 00:30:52,400 Speaker 1: KTLA for years. I've been talking about Microsoft scams for 665 00:30:53,000 --> 00:30:55,240 Speaker 1: I don't know a couple of years, like five six years. 666 00:30:55,680 --> 00:30:58,880 Speaker 1: So here's the thing. It's not Microsoft. They're not scamming anyone. 667 00:30:58,920 --> 00:31:01,920 Speaker 1: But here's the thing. It's a company that touches a 668 00:31:01,960 --> 00:31:03,680 Speaker 1: lot of people. So a lot of people have a 669 00:31:03,680 --> 00:31:07,120 Speaker 1: computer that has Microsoft on it and they need tech 670 00:31:07,120 --> 00:31:09,400 Speaker 1: support whatever, and so you just think like, oh, I 671 00:31:09,400 --> 00:31:12,440 Speaker 1: have a computer and Microsoft is calling me to say 672 00:31:12,440 --> 00:31:13,920 Speaker 1: I need help or I got to pay this fee 673 00:31:14,000 --> 00:31:15,680 Speaker 1: or whatever it is, and you think like, oh, okay, 674 00:31:15,720 --> 00:31:19,120 Speaker 1: like I think that that might sound legit. And given 675 00:31:19,440 --> 00:31:23,080 Speaker 1: this person, she obviously was hiped to it and was 676 00:31:23,120 --> 00:31:25,560 Speaker 1: like I don't remember signing up for that. But they're 677 00:31:25,600 --> 00:31:27,640 Speaker 1: just doing a numbers game. So they're just getting a 678 00:31:27,720 --> 00:31:30,160 Speaker 1: lot of people, you know, doing millions of these robo calls. 679 00:31:30,200 --> 00:31:33,080 Speaker 1: And if one person falls for it, which by the way, 680 00:31:33,160 --> 00:31:36,560 Speaker 1: I know someone personally that called me frantic saying that 681 00:31:36,880 --> 00:31:39,440 Speaker 1: they had fallen for this and they gave their credit 682 00:31:39,520 --> 00:31:41,440 Speaker 1: card number and all this stuff over the phone, and 683 00:31:41,480 --> 00:31:43,680 Speaker 1: they go halfway through they realized like, wait a second, 684 00:31:43,720 --> 00:31:46,080 Speaker 1: what am I doing. The person took control of their computer. 685 00:31:46,600 --> 00:31:48,960 Speaker 1: So this is a scam. It's just a new twist 686 00:31:49,000 --> 00:31:50,960 Speaker 1: on an old scam. So I'm not sure where this 687 00:31:51,040 --> 00:31:53,239 Speaker 1: scam is because she said they wanted to charge her 688 00:31:53,280 --> 00:31:56,320 Speaker 1: like four hundred and thirty dollars, Like where does it 689 00:31:56,400 --> 00:31:58,480 Speaker 1: if they're like, oh, let's confirm your credit card number 690 00:31:58,480 --> 00:32:00,400 Speaker 1: and maybe you give it over again, Like I be like, 691 00:32:00,400 --> 00:32:02,280 Speaker 1: come on, let's you know. I don't know how this 692 00:32:02,360 --> 00:32:05,280 Speaker 1: scam works exactly, Yeah, but clearly they're trying to get 693 00:32:05,280 --> 00:32:07,240 Speaker 1: money out of you, right, so weird And. 694 00:32:07,440 --> 00:32:10,320 Speaker 2: I mean like they must the scam must know that 695 00:32:10,360 --> 00:32:12,560 Speaker 2: she has a Microsoft product or it's just random. 696 00:32:12,680 --> 00:32:14,840 Speaker 1: It's totally random. They're just if you call, you know, 697 00:32:14,880 --> 00:32:16,880 Speaker 1: if you don't if you use a Mac, you're sitting there. 698 00:32:17,840 --> 00:32:19,680 Speaker 1: I don't have a Microsoft computer, right, Yeah. 699 00:32:19,720 --> 00:32:22,640 Speaker 2: I've definitely seen Apple, Like obviously it's not Apple, but 700 00:32:22,760 --> 00:32:25,840 Speaker 2: like again, like it's easy to like make an email 701 00:32:25,920 --> 00:32:28,680 Speaker 2: look like it's from Apple, and it's all you know, 702 00:32:28,720 --> 00:32:31,280 Speaker 2: A couple letters are changed in the email address and 703 00:32:31,280 --> 00:32:32,160 Speaker 2: that's how they get people. 704 00:32:32,480 --> 00:32:34,520 Speaker 1: And the other thing they're doing with Apple on the 705 00:32:34,560 --> 00:32:37,920 Speaker 1: Apple side of scams is built into every iPhone is 706 00:32:37,960 --> 00:32:40,520 Speaker 1: the phone number for Apple. So what the robo callers 707 00:32:40,560 --> 00:32:44,520 Speaker 1: do is they spoof Apple's phone number call you from 708 00:32:44,520 --> 00:32:46,840 Speaker 1: that number and then it comes up on your phone 709 00:32:46,960 --> 00:32:49,640 Speaker 1: Apple and you go, oh, this is Apple calling me 710 00:32:49,760 --> 00:32:51,680 Speaker 1: so clearly, and they say, like you need to read 711 00:32:51,760 --> 00:32:54,120 Speaker 1: your iCloud or whatever. And that's a really good scam 712 00:32:54,160 --> 00:32:56,760 Speaker 1: because you know, in every iPhone, built into the contact 713 00:32:56,840 --> 00:32:59,320 Speaker 1: address book is the Apple phone number, so you have 714 00:32:59,360 --> 00:33:02,400 Speaker 1: to just spoof that and your iPhone looks like Apple's calling, 715 00:33:02,720 --> 00:33:04,800 Speaker 1: So watch out for that one if that ever happens 716 00:33:04,800 --> 00:33:07,240 Speaker 1: to you. But it's so these scam artists, I mean, 717 00:33:07,280 --> 00:33:09,360 Speaker 1: this is why they call them scam artists, because they 718 00:33:09,520 --> 00:33:12,240 Speaker 1: try these things and they do work and people fall 719 00:33:12,320 --> 00:33:15,240 Speaker 1: for and you know, it's one of these things where 720 00:33:15,280 --> 00:33:18,120 Speaker 1: it just happens, and it's been going on forever, even 721 00:33:18,160 --> 00:33:21,800 Speaker 1: before there was I mean, scams have been there forever, 722 00:33:22,120 --> 00:33:23,720 Speaker 1: you know, whether it was back in the day when 723 00:33:23,720 --> 00:33:26,040 Speaker 1: they sold like, you know, oil with a snake oil, 724 00:33:26,080 --> 00:33:28,640 Speaker 1: you know, like all these things like vitamins, I mean whatever. Yeah, 725 00:33:28,880 --> 00:33:32,600 Speaker 1: still scam. It doesn't work. It's someone's selling you on something, right, And. 726 00:33:32,560 --> 00:33:34,760 Speaker 3: You're haney hammies, Are. 727 00:33:34,640 --> 00:33:38,600 Speaker 1: Those a scam? Well, Megan, are you? Are you dissing 728 00:33:38,680 --> 00:33:39,480 Speaker 1: the hair gummies? 729 00:33:39,800 --> 00:33:43,200 Speaker 3: Well that's what like the Kardas vitamins in there. I'm 730 00:33:43,240 --> 00:33:45,640 Speaker 3: sure there's something in it. Can't prove it, Yeah, you 731 00:33:45,680 --> 00:33:46,360 Speaker 3: can't prove it. 732 00:33:46,640 --> 00:33:50,720 Speaker 1: Yeah, let's talk about the food in China. So number 733 00:33:50,760 --> 00:33:54,480 Speaker 1: one food here, I'm you know. 734 00:33:54,520 --> 00:33:56,640 Speaker 3: Me, Well, what did we have for dinner last night? 735 00:33:56,920 --> 00:34:01,120 Speaker 1: I know? Well Italian? Yeah, which I look, here's the thing. 736 00:34:01,200 --> 00:34:05,200 Speaker 1: I'm a very simple okay, So I'll tell the story. 737 00:34:05,280 --> 00:34:07,120 Speaker 1: So we go to this place that's just around the 738 00:34:07,120 --> 00:34:10,720 Speaker 1: corner here, and you know it's an Italian restaurant, which whatever, 739 00:34:10,760 --> 00:34:12,600 Speaker 1: I mean, It's fine. Look, I eat a lot of food. 740 00:34:12,640 --> 00:34:14,600 Speaker 1: It's like you're eating every day of your life, like 741 00:34:14,640 --> 00:34:16,680 Speaker 1: you can't just I'm not gonna have authentic Chinese like 742 00:34:16,719 --> 00:34:18,600 Speaker 1: every day of my life, right. And I've had fried 743 00:34:18,680 --> 00:34:20,319 Speaker 1: rice since I've been here every single day, and I've 744 00:34:20,360 --> 00:34:22,560 Speaker 1: had other weird little things that like not that that's weird, 745 00:34:22,920 --> 00:34:25,400 Speaker 1: like other like I've tried one little random thing off 746 00:34:25,400 --> 00:34:27,719 Speaker 1: the buffet every day that like I wouldn't normally eat, right, 747 00:34:28,160 --> 00:34:32,480 Speaker 1: like dragon fruit. I know, Yeah, I didn't try anything 748 00:34:32,520 --> 00:34:36,280 Speaker 1: like noodles like I had. I had spare ribs yesterday, 749 00:34:36,320 --> 00:34:38,799 Speaker 1: like at Disney. We'll talk about Disney in the moment, Yes, 750 00:34:38,800 --> 00:34:40,720 Speaker 1: but I had spare like, and it was like bones, 751 00:34:40,719 --> 00:34:41,920 Speaker 1: I'm like pulling bones. 752 00:34:41,600 --> 00:34:44,359 Speaker 3: Out like I mean, it was you know, they don't 753 00:34:44,360 --> 00:34:45,239 Speaker 3: care about bones here. 754 00:34:45,280 --> 00:34:47,399 Speaker 1: They don't care about bones here. Everything has bones. They 755 00:34:47,480 --> 00:34:50,839 Speaker 1: just somehow they just yeah, get through the bones. Yeah. 756 00:34:50,920 --> 00:34:53,320 Speaker 1: So we went to this place last night. There was 757 00:34:53,320 --> 00:34:56,880 Speaker 1: an Italian restaurant and I'm I'm getting a pizza, right 758 00:34:56,920 --> 00:34:59,120 Speaker 1: cause I'm not a weird eater. I eat like pretty basic. 759 00:34:59,160 --> 00:35:04,200 Speaker 1: I eat like steak, potatoes, chicken, salmon. I know, I'm 760 00:35:04,239 --> 00:35:07,839 Speaker 1: the worst. I don't eat anything weird. So same, you're 761 00:35:08,040 --> 00:35:11,480 Speaker 1: much more adventurous than I am. So I get a 762 00:35:11,480 --> 00:35:13,000 Speaker 1: pizza and I asked the guy because it was a 763 00:35:13,000 --> 00:35:17,720 Speaker 1: pizza that had it said the description was margarita or sauce, 764 00:35:18,480 --> 00:35:20,920 Speaker 1: garlic and chili paste. And I was like, oh, that 765 00:35:21,000 --> 00:35:23,120 Speaker 1: sounds good. I asked the guy. So just making sure 766 00:35:23,160 --> 00:35:25,040 Speaker 1: this has cheese on it, right, And he goes, sorry, 767 00:35:25,040 --> 00:35:27,919 Speaker 1: it's a pizza of course that has cheese. And sure enough, 768 00:35:27,920 --> 00:35:29,560 Speaker 1: what happens when I get my pizza. 769 00:35:30,120 --> 00:35:32,280 Speaker 3: No cheese, no cheese. 770 00:35:32,280 --> 00:35:36,120 Speaker 1: Meanwhile, Megan over here has this giant pizza with three 771 00:35:36,239 --> 00:35:39,640 Speaker 1: different types of cheeses and like double sausage or no 772 00:35:39,760 --> 00:35:41,040 Speaker 1: double pepperoni. Yeah. 773 00:35:41,040 --> 00:35:43,880 Speaker 3: It was literally covered in pepperoni's. And I asked the 774 00:35:44,640 --> 00:35:47,400 Speaker 3: same waiter. I was like, oh, so is this good, 775 00:35:47,440 --> 00:35:48,560 Speaker 3: Like have you had this before? 776 00:35:48,640 --> 00:35:51,640 Speaker 2: And he was like, well, if you like pepperoni, like 777 00:35:51,920 --> 00:35:54,160 Speaker 2: you'll like it. And I was like, oh, okay, well, 778 00:35:54,280 --> 00:35:57,239 Speaker 2: yeah sounds great and it was amazing. But it was 779 00:35:57,360 --> 00:36:01,600 Speaker 2: literally like triple the amount of food compared to Rich's pizza. 780 00:36:01,719 --> 00:36:05,279 Speaker 1: Yeah, I had a diet dinner. I mean I felt great. 781 00:36:05,400 --> 00:36:06,960 Speaker 1: So the other thing we went to was luck In 782 00:36:07,040 --> 00:36:09,839 Speaker 1: Coffee yeah, which is I don't know if I'm saying 783 00:36:09,840 --> 00:36:12,520 Speaker 1: it right, but luck In or luke In. But anyway, 784 00:36:12,600 --> 00:36:14,879 Speaker 1: so we found luck In Coffee, which by the way, 785 00:36:15,200 --> 00:36:17,400 Speaker 1: didn't exist until like a couple of years ago, and 786 00:36:17,440 --> 00:36:20,680 Speaker 1: there's like thousands of them everywhere. And I gotta say 787 00:36:20,800 --> 00:36:23,360 Speaker 1: it was good. I had a Macha is that what 788 00:36:23,400 --> 00:36:25,960 Speaker 1: it was called? Like, that's like a green tea freeze 789 00:36:26,040 --> 00:36:28,520 Speaker 1: or something. They call it an X freeze, right, which 790 00:36:28,560 --> 00:36:31,719 Speaker 1: is a frappuccino basically so good. It was really good, 791 00:36:31,800 --> 00:36:34,560 Speaker 1: Like it tasted so much more real than the green 792 00:36:34,640 --> 00:36:38,640 Speaker 1: tea frappuccino I've gotten in La Yeah in Starbucks. Yeah. 793 00:36:38,680 --> 00:36:40,680 Speaker 1: So and I'm not like a big green tea person either, 794 00:36:40,719 --> 00:36:42,319 Speaker 1: but I do like it. I mean it's nice. 795 00:36:42,480 --> 00:36:44,520 Speaker 3: Yeah, green tea definitely tastes better here. 796 00:36:44,840 --> 00:36:49,319 Speaker 1: Yeah, it makes sense. I feel like they know their 797 00:36:49,360 --> 00:36:52,279 Speaker 1: tea here. Although did you have any tea while you're here? 798 00:36:52,640 --> 00:36:54,680 Speaker 3: Yeah, I've had well, not like fancy. 799 00:36:54,719 --> 00:36:57,160 Speaker 2: I could have had tea this morning at breakfast they offered, 800 00:36:57,200 --> 00:36:58,760 Speaker 2: and I said, no, I'll stick with coffee. 801 00:36:58,800 --> 00:37:00,880 Speaker 3: But I've had tea like in my room and stuff. 802 00:37:00,920 --> 00:37:03,319 Speaker 1: It's funny because even though you think of China like 803 00:37:03,360 --> 00:37:05,399 Speaker 1: growing up as like a tea culture, like you don't 804 00:37:05,480 --> 00:37:07,840 Speaker 1: it's not very overt, like you don't see tea everywhere. 805 00:37:07,880 --> 00:37:10,359 Speaker 1: It's not like tea houses everywhere as far as I saw, right, 806 00:37:10,400 --> 00:37:13,040 Speaker 1: but there is like tea like in a. I guess 807 00:37:13,080 --> 00:37:15,120 Speaker 1: it's kind of offered everywhere, but it's offered everywhere in 808 00:37:15,120 --> 00:37:15,760 Speaker 1: the US. 809 00:37:15,880 --> 00:37:16,560 Speaker 3: Right right. 810 00:37:16,960 --> 00:37:18,960 Speaker 1: But yeah, anyway, so we did that. Then I went 811 00:37:18,960 --> 00:37:21,839 Speaker 1: to McDonald's. I know, I'm just the world traveler here, 812 00:37:22,520 --> 00:37:24,400 Speaker 1: but I love going to like a McDonald's and other 813 00:37:24,400 --> 00:37:26,600 Speaker 1: countries because I love seeing what's on the menu. So 814 00:37:26,640 --> 00:37:28,879 Speaker 1: I totally took a little video of like what they 815 00:37:28,920 --> 00:37:31,719 Speaker 1: have there, and it was pretty random. Like they had 816 00:37:31,760 --> 00:37:34,319 Speaker 1: some really interesting like stuff that we do not have 817 00:37:34,360 --> 00:37:35,920 Speaker 1: at the McDonald's in the US. 818 00:37:35,800 --> 00:37:37,800 Speaker 3: And it was like super nice too, right. 819 00:37:37,600 --> 00:37:40,400 Speaker 1: Oh so nice. They're so friendly, like they're just oh 820 00:37:40,560 --> 00:37:43,440 Speaker 1: that's the other thing, like so friendly, like they're. 821 00:37:43,320 --> 00:37:44,200 Speaker 3: Just so welcoming. 822 00:37:44,280 --> 00:37:47,080 Speaker 2: Like I mean, if I was a tourist that visited 823 00:37:47,200 --> 00:37:49,920 Speaker 2: La I would it would probably be like an opposite 824 00:37:50,320 --> 00:37:50,920 Speaker 2: like experience. 825 00:37:50,920 --> 00:37:53,279 Speaker 1: Oh yeah, they you'd be like, oh, Americans are the worst. Yeah, 826 00:37:53,280 --> 00:37:54,759 Speaker 1: which they kind of are sometimes. All right, let me 827 00:37:54,800 --> 00:37:56,879 Speaker 1: tell you some of the random things they had on here. 828 00:37:57,280 --> 00:38:03,080 Speaker 1: A German sausage, double beef burger, a Seschwan spicy double 829 00:38:03,160 --> 00:38:07,759 Speaker 1: chicken burger, a Japanese beef ball. Let's see what else 830 00:38:07,880 --> 00:38:10,240 Speaker 1: they have here, ran I got a cheeseburger, by the way, 831 00:38:11,200 --> 00:38:16,120 Speaker 1: spoiler alert, the most boring thing on the menu, loaded fries, spicy. 832 00:38:16,160 --> 00:38:18,080 Speaker 1: Remember those chicken wings they had at McDonald's a couple 833 00:38:18,120 --> 00:38:19,319 Speaker 1: years ago, it was like a big thing. Well those 834 00:38:19,360 --> 00:38:24,080 Speaker 1: those are still here, Chris cut fries, veggie cup and 835 00:38:24,160 --> 00:38:26,239 Speaker 1: Chris cut fries, and a small corn cup which I 836 00:38:26,239 --> 00:38:28,120 Speaker 1: saw someone actually orders. I thought it was pretty cool. 837 00:38:28,480 --> 00:38:30,920 Speaker 1: But Chris cut fries. I really wanted to try but 838 00:38:31,040 --> 00:38:33,359 Speaker 1: this is how this is how lame I am. I 839 00:38:33,400 --> 00:38:34,960 Speaker 1: was like, I don't want to ruin my experience in 840 00:38:34,960 --> 00:38:38,719 Speaker 1: case they weren't good. I like regular fries. Two other 841 00:38:38,800 --> 00:38:41,600 Speaker 1: drinks that were at the McDonald's coconut drink with jelly, 842 00:38:42,640 --> 00:38:47,239 Speaker 1: and coconut drink with bubble, and then coconut water. I'm 843 00:38:47,239 --> 00:38:49,560 Speaker 1: guessing I don't know, maybe it or was just bubbly. 844 00:38:49,760 --> 00:38:51,920 Speaker 1: All right, get another question. Then we're gonna get to 845 00:38:51,960 --> 00:38:54,399 Speaker 1: Disney real quick, and then we'll yes the last question. 846 00:38:54,440 --> 00:38:58,640 Speaker 1: Make it a quick question, Okay, don't read it quick 847 00:38:58,640 --> 00:38:59,839 Speaker 1: like maybe I can answer it quick. 848 00:39:00,760 --> 00:39:04,279 Speaker 3: Okay. Next question is from James E. 849 00:39:04,719 --> 00:39:05,040 Speaker 1: South. 850 00:39:05,680 --> 00:39:09,000 Speaker 2: Hello, Rich, I was given iTunes gift cards and don't 851 00:39:09,000 --> 00:39:11,520 Speaker 2: know how I can use them. 852 00:39:11,200 --> 00:39:13,719 Speaker 3: Since I have an Android? What can I do? 853 00:39:13,840 --> 00:39:14,040 Speaker 2: Sir? 854 00:39:14,239 --> 00:39:17,719 Speaker 1: No, this is a quick question. My quick answer is 855 00:39:17,800 --> 00:39:19,400 Speaker 1: to sell him to a friend. I mean, who doesn't 856 00:39:19,440 --> 00:39:21,600 Speaker 1: need an iTunes gift card? Like, if you got a 857 00:39:21,600 --> 00:39:23,560 Speaker 1: fifty dollars gift card, sell to your friend for forty 858 00:39:23,600 --> 00:39:26,120 Speaker 1: You're still making forty bucks on the deal, right, So 859 00:39:26,239 --> 00:39:28,839 Speaker 1: I mean that that would be my advice, Like, just 860 00:39:29,040 --> 00:39:31,759 Speaker 1: find a like, literally post on your Facebook page. I've 861 00:39:31,760 --> 00:39:34,879 Speaker 1: got a fifty dollars iTunes gift card, Like I'll sell 862 00:39:34,880 --> 00:39:36,480 Speaker 1: it for a best offer. 863 00:39:36,880 --> 00:39:39,360 Speaker 3: We could also can you buy movies? 864 00:39:39,960 --> 00:39:41,560 Speaker 1: You go buy movies, but he's saying he doesn't want to. 865 00:39:41,600 --> 00:39:43,480 Speaker 1: He doesn't want to, he doesn't have I mean, you 866 00:39:43,520 --> 00:39:45,640 Speaker 1: could still use an iTunes gift card if you're on Android, 867 00:39:45,680 --> 00:39:48,879 Speaker 1: like for different things. But nah, it's he doesn't what's 868 00:39:48,920 --> 00:39:50,759 Speaker 1: he gonna buy a movie for, you know, Like how's 869 00:39:50,760 --> 00:39:52,960 Speaker 1: he gonna watch it? You know, like probably doesn't have 870 00:39:52,960 --> 00:39:55,480 Speaker 1: an Apple TV. Yeah, he can connect his account to 871 00:39:55,520 --> 00:39:57,560 Speaker 1: movies anywhere and do it that way. It's too complicated. 872 00:39:57,760 --> 00:39:59,040 Speaker 1: He just wants to get rid of it. He wants 873 00:39:59,040 --> 00:40:00,960 Speaker 1: to unload this gift card done, so sell it to 874 00:40:01,000 --> 00:40:04,200 Speaker 1: your friend on Facebook, or you can go to raise 875 00:40:04,360 --> 00:40:07,120 Speaker 1: dot com so our ai s. Have you heard of this? 876 00:40:07,600 --> 00:40:09,880 Speaker 1: It lets you buy gift cards at a discount, and 877 00:40:09,920 --> 00:40:11,880 Speaker 1: you can also sell your gift cards. Now, when you 878 00:40:11,880 --> 00:40:14,000 Speaker 1: sell your gift card, you're not going to get very 879 00:40:14,120 --> 00:40:17,200 Speaker 1: much on your dollar. So but here's the thing. These companies, 880 00:40:17,200 --> 00:40:19,400 Speaker 1: and there's more than just Raises the one that I use, 881 00:40:19,440 --> 00:40:21,480 Speaker 1: so I kind of like it and I have experience 882 00:40:21,520 --> 00:40:23,760 Speaker 1: with it. There's other ones that work the same way. 883 00:40:23,960 --> 00:40:27,399 Speaker 1: But this is the thing the whole market is. If 884 00:40:27,400 --> 00:40:29,319 Speaker 1: you get one hundred dollars gift card from a store 885 00:40:29,320 --> 00:40:32,319 Speaker 1: that you don't use, right like sharper image. Let's say 886 00:40:32,320 --> 00:40:34,879 Speaker 1: I don't even know if that exists anymore. Let's say 887 00:40:34,880 --> 00:40:36,759 Speaker 1: you get that. You don't care if you get eighty 888 00:40:36,800 --> 00:40:39,920 Speaker 1: dollars for that, right, because you're still getting eighty dollars cash. 889 00:40:40,400 --> 00:40:42,120 Speaker 1: You don't care about the value of that card. You're 890 00:40:42,120 --> 00:40:44,040 Speaker 1: not worried about one hundred dollars because you never use 891 00:40:44,080 --> 00:40:46,719 Speaker 1: it. It might go to waste in your drawer. So that's 892 00:40:46,719 --> 00:40:50,200 Speaker 1: how these companies kind of work is that they you know, 893 00:40:50,239 --> 00:40:53,360 Speaker 1: they're basically not praying on but they're they're catering to 894 00:40:53,400 --> 00:40:55,160 Speaker 1: the fact that you don't care if you get fifty 895 00:40:55,160 --> 00:40:57,279 Speaker 1: bucks for this hundred dollars gift card, right, and then 896 00:40:57,280 --> 00:40:59,399 Speaker 1: they go and they sell it for seventy. They pay 897 00:40:59,400 --> 00:41:02,080 Speaker 1: you fifty. You're happy they go and sell it for seventy. 898 00:41:02,080 --> 00:41:03,920 Speaker 1: The person who buys a seventy dollars gift card or 899 00:41:03,920 --> 00:41:06,240 Speaker 1: one hundred dollars gift card for seventy is also happy. 900 00:41:06,480 --> 00:41:09,560 Speaker 1: Everyone makes money in that scenario. The person who loses 901 00:41:09,600 --> 00:41:13,239 Speaker 1: out is Grandma who actually spent one hundred dollars to 902 00:41:13,280 --> 00:41:13,960 Speaker 1: buy the gift card. 903 00:41:13,960 --> 00:41:15,800 Speaker 3: Originally a business. 904 00:41:15,800 --> 00:41:19,920 Speaker 1: Oh yeah, that's a big business. Okay, So let's talk 905 00:41:19,960 --> 00:41:22,680 Speaker 1: Disney before we go. So we got to go. Megan 906 00:41:22,719 --> 00:41:26,759 Speaker 1: hooked us up with Shanghai Disneyland, and by hookup, not 907 00:41:26,800 --> 00:41:29,480 Speaker 1: out of your pocket, but you contacted Disney and you said, hey, 908 00:41:29,880 --> 00:41:31,560 Speaker 1: rich would love to check it out, and I'd love 909 00:41:31,600 --> 00:41:34,880 Speaker 1: to check it out. And so they were very nice 910 00:41:34,880 --> 00:41:37,839 Speaker 1: and they hooked us up with tickets, which, by the way, 911 00:41:37,880 --> 00:41:41,360 Speaker 1: are a lot cheaper than Disney tickets in America. So 912 00:41:41,680 --> 00:41:44,040 Speaker 1: we did our thing and we went to Disney and 913 00:41:44,120 --> 00:41:46,440 Speaker 1: it was Disney Shanghai, which is pretty new. I think 914 00:41:46,480 --> 00:41:51,080 Speaker 1: it opened in twenty sixteen, and number one great. I 915 00:41:51,120 --> 00:41:53,799 Speaker 1: love new places, right it was. It was really nice 916 00:41:53,840 --> 00:41:56,760 Speaker 1: and it's like little like shiny, like that's how different, 917 00:41:57,040 --> 00:42:01,320 Speaker 1: so different than than Disneyland. Number one. The line to 918 00:42:01,360 --> 00:42:03,280 Speaker 1: get in was absolutely bananas. 919 00:42:03,400 --> 00:42:05,160 Speaker 3: It was a complete nightmare, to be honest. 920 00:42:05,719 --> 00:42:08,759 Speaker 1: It was no it was very organized. It was organized, 921 00:42:08,760 --> 00:42:10,480 Speaker 1: but it was just it was not a nightmare. It 922 00:42:10,520 --> 00:42:12,359 Speaker 1: was just waiting in line. That was the worst part. 923 00:42:12,400 --> 00:42:14,280 Speaker 1: But once we got in the park was amazing. 924 00:42:14,320 --> 00:42:14,799 Speaker 3: Yeah, park. 925 00:42:14,960 --> 00:42:18,120 Speaker 1: The rides were phenomenal, like they're all brand new, so 926 00:42:18,200 --> 00:42:20,719 Speaker 1: all new technology. So we went on the first ride 927 00:42:20,719 --> 00:42:22,160 Speaker 1: we went on, by the way, we had to buy 928 00:42:22,360 --> 00:42:25,839 Speaker 1: the fast pass bundle, which was I don't know how 929 00:42:25,920 --> 00:42:27,200 Speaker 1: much it was, but it was like one hundred bucks, 930 00:42:27,280 --> 00:42:29,520 Speaker 1: let's say, yeah, and it really it paid off. It 931 00:42:29,760 --> 00:42:32,600 Speaker 1: gave us six rides for the one hundred dollars that 932 00:42:32,640 --> 00:42:35,359 Speaker 1: you get to go right on. And the first one 933 00:42:35,360 --> 00:42:36,920 Speaker 1: we went on was Tron, which. 934 00:42:36,760 --> 00:42:40,520 Speaker 2: Was just amazing, so cool, so futuristic, like just walking 935 00:42:40,640 --> 00:42:41,360 Speaker 2: to the ride. 936 00:42:41,480 --> 00:42:44,840 Speaker 1: Yes, just the way they built this place was amazing. 937 00:42:45,000 --> 00:42:47,680 Speaker 1: I would describe it as a space mountain, but a 938 00:42:47,920 --> 00:42:50,520 Speaker 1: kind of a bigger It kind of was outside and inside. 939 00:42:50,560 --> 00:42:52,400 Speaker 1: It was in the dark for most of it. It 940 00:42:52,440 --> 00:42:55,000 Speaker 1: was fantastic. That was awesome. The other one that was 941 00:42:55,040 --> 00:42:57,680 Speaker 1: really cool was the Pirates of the Caribbean. 942 00:42:57,800 --> 00:43:01,719 Speaker 4: Oh that was like the reason why you really Disneyland, 943 00:43:01,800 --> 00:43:04,319 Speaker 4: and it was the way I described that is if 944 00:43:04,320 --> 00:43:07,920 Speaker 4: you if you have been on the I believe it's 945 00:43:08,000 --> 00:43:11,239 Speaker 4: the Transformers ride at Universal. 946 00:43:10,840 --> 00:43:14,160 Speaker 1: Oh yeah, yeah, it's like kind of a screen but 947 00:43:14,239 --> 00:43:15,320 Speaker 1: also like you move. 948 00:43:15,480 --> 00:43:18,400 Speaker 3: Move and then there's like graphics. Right, But this was 949 00:43:18,480 --> 00:43:20,000 Speaker 3: like on another lovel This was. 950 00:43:20,000 --> 00:43:22,120 Speaker 1: Next level because you're in a boat which is huge, 951 00:43:22,160 --> 00:43:24,120 Speaker 1: by the way, compared to the boat at Pirates in 952 00:43:24,360 --> 00:43:27,800 Speaker 1: La or Anaheim, and it is just it's so smooth. 953 00:43:28,200 --> 00:43:30,160 Speaker 1: It's amazing. I mean, it was amazing. It was really 954 00:43:30,480 --> 00:43:32,799 Speaker 1: a feat that they accomplished. 955 00:43:32,880 --> 00:43:34,840 Speaker 2: And the Pirates at Disneyland is just like a boat 956 00:43:34,840 --> 00:43:37,040 Speaker 2: that's just moving, like it's not on a track. This 957 00:43:37,120 --> 00:43:39,440 Speaker 2: boat was on a track, so like it was moving 958 00:43:39,480 --> 00:43:41,600 Speaker 2: you at the right times, and like it was flipped. 959 00:43:41,600 --> 00:43:43,480 Speaker 2: It literally flipped around and we went on a drop 960 00:43:43,600 --> 00:43:44,600 Speaker 2: backwards which. 961 00:43:44,520 --> 00:43:46,640 Speaker 1: Was like turned around. We didn't flip over, but we 962 00:43:46,800 --> 00:43:50,080 Speaker 1: turned around like you went backwards basically at one point 963 00:43:50,080 --> 00:43:52,440 Speaker 1: on the ride, which is it was. It was amazing. 964 00:43:52,560 --> 00:43:54,600 Speaker 1: They really did a great job on that one. Like 965 00:43:54,640 --> 00:43:58,400 Speaker 1: that was worth Tron and Pirates was worth the admission 966 00:43:58,640 --> 00:44:00,960 Speaker 1: that we didn't pay, I know, but still if you 967 00:44:01,000 --> 00:44:03,279 Speaker 1: paid admission, like we paid the fast pass thing, which 968 00:44:03,320 --> 00:44:06,919 Speaker 1: was expensive, but it was worth going for those two 969 00:44:07,000 --> 00:44:08,960 Speaker 1: and to see the park. The park is just beautiful. 970 00:44:09,280 --> 00:44:12,800 Speaker 1: Everything is double the size of America, Like the streets 971 00:44:12,800 --> 00:44:15,960 Speaker 1: are double as wide as they are you know in Disneyland, 972 00:44:16,640 --> 00:44:19,960 Speaker 1: and it's just I mean, the food was good, Like. 973 00:44:19,920 --> 00:44:22,640 Speaker 3: Obviously there was a huge crowd, but like the crowd 974 00:44:22,640 --> 00:44:23,239 Speaker 3: split up. 975 00:44:23,320 --> 00:44:27,600 Speaker 5: Like the way that they engineered the park was absolutely 976 00:44:27,600 --> 00:44:30,560 Speaker 5: genius because whenever we went to a restaurant there was 977 00:44:30,640 --> 00:44:33,719 Speaker 5: no line, so like there were so many restaurants and 978 00:44:33,760 --> 00:44:36,600 Speaker 5: they were able to accommodate definitely over like three hundred 979 00:44:36,600 --> 00:44:37,640 Speaker 5: thousand people that were there. 980 00:44:37,680 --> 00:44:39,360 Speaker 1: Wait, how do you know you just made that You 981 00:44:39,440 --> 00:44:41,440 Speaker 1: just totally made up that number. You have no idea. 982 00:44:41,480 --> 00:44:42,719 Speaker 3: I asked you, how many people do you think? 983 00:44:42,840 --> 00:44:44,879 Speaker 1: I don't know, I just made that up. It could 984 00:44:44,920 --> 00:44:46,279 Speaker 1: have been one hundred. I have no idea how many 985 00:44:46,320 --> 00:44:47,640 Speaker 1: people were in that park that day, but it was 986 00:44:47,680 --> 00:44:50,759 Speaker 1: a lot, and it was That was great. The other 987 00:44:50,920 --> 00:44:53,879 Speaker 1: ride that was really fun was the train, the seven 988 00:44:53,960 --> 00:44:57,120 Speaker 1: Dwarfs train, because again it was like Big Thunder Mountain Railroad, 989 00:44:57,200 --> 00:45:00,640 Speaker 1: except brand new. So the train is signed, but they 990 00:45:00,640 --> 00:45:02,600 Speaker 1: add like the effect of the train sound. It is 991 00:45:02,680 --> 00:45:06,960 Speaker 1: so silent. You're on this amazing track. The technology they 992 00:45:07,000 --> 00:45:10,360 Speaker 1: have now for rides is just so so way ahead 993 00:45:10,360 --> 00:45:12,839 Speaker 1: of what we had twenty years ago, you know, So 994 00:45:13,280 --> 00:45:16,000 Speaker 1: it's just it was amazing. I loved it. My lunch 995 00:45:16,080 --> 00:45:18,560 Speaker 1: was not very good. I got like something weird that 996 00:45:18,600 --> 00:45:20,000 Speaker 1: was not That was the low point of it. I 997 00:45:20,040 --> 00:45:23,160 Speaker 1: did get good popcorn they have. They had really strange 998 00:45:23,200 --> 00:45:26,080 Speaker 1: popcorn flavors. I got caramel because I'm of course boring. 999 00:45:26,360 --> 00:45:30,120 Speaker 1: But they had crayfish, which is like I remember Louisiana crawfish. 1000 00:45:30,120 --> 00:45:31,960 Speaker 1: It's like probably like a crayole thing. 1001 00:45:32,320 --> 00:45:32,840 Speaker 3: Oh okay. 1002 00:45:33,160 --> 00:45:37,319 Speaker 1: And then they had strawberry popcorn, which was we didn't try. 1003 00:45:37,360 --> 00:45:38,240 Speaker 1: We're so boring. 1004 00:45:38,280 --> 00:45:41,240 Speaker 3: We both want just like plain popcorn, and they're like, yeah. 1005 00:45:41,040 --> 00:45:42,919 Speaker 1: They wouldn't sell us plain popcorn. They don't sell plain 1006 00:45:42,960 --> 00:45:44,880 Speaker 1: popcorn there. As far as I could tell, it was 1007 00:45:44,880 --> 00:45:49,120 Speaker 1: only flavored. Anyway, Disneyland was great. Thank you Disney Shanghai 1008 00:45:49,200 --> 00:45:52,560 Speaker 1: for hosting us. Shout out to Vincent, who, by the way, 1009 00:45:53,080 --> 00:45:56,120 Speaker 1: was awesome. A lot of the people there do speak English, 1010 00:45:56,120 --> 00:45:59,080 Speaker 1: like a lot of the help but not well, actually 1011 00:45:59,080 --> 00:46:00,520 Speaker 1: that's not true. A lot of them didn't, but a 1012 00:46:00,520 --> 00:46:01,640 Speaker 1: lot of them they knew. 1013 00:46:01,480 --> 00:46:03,440 Speaker 3: Like the main words, like if you said, you. 1014 00:46:03,400 --> 00:46:08,640 Speaker 1: Know, restaurant. But Vincent totally spoke English. And I asked him, 1015 00:46:08,680 --> 00:46:10,520 Speaker 1: I said, dude, how do you speak such good English? 1016 00:46:10,560 --> 00:46:13,440 Speaker 1: And he said I did my residency or whatever in 1017 00:46:13,480 --> 00:46:16,600 Speaker 1: Anaheim like he basically worked in Anaheim, and I was like, 1018 00:46:16,640 --> 00:46:19,360 Speaker 1: you're amazing, Like he was so nice, he was on point. 1019 00:46:19,480 --> 00:46:21,680 Speaker 2: So he was like a lot of people in China, well, 1020 00:46:22,600 --> 00:46:25,160 Speaker 2: a lot of people do speak English, they just don't 1021 00:46:25,200 --> 00:46:27,479 Speaker 2: have the opportunity to use it, which is the same 1022 00:46:27,480 --> 00:46:30,759 Speaker 2: as like I learned Spanish in high school and I 1023 00:46:31,080 --> 00:46:33,040 Speaker 2: hate speaking it because I get uncomfortable. 1024 00:46:33,120 --> 00:46:33,680 Speaker 1: That's what he said. 1025 00:46:33,800 --> 00:46:34,680 Speaker 3: He said the same thing. 1026 00:46:34,840 --> 00:46:37,520 Speaker 1: They don't want to speak English because they don't want 1027 00:46:37,520 --> 00:46:38,200 Speaker 1: to mess up. 1028 00:46:38,320 --> 00:46:41,520 Speaker 3: You know, embarrassed and you know. So, I mean, that's 1029 00:46:41,960 --> 00:46:44,560 Speaker 3: interesting to know. I'm sure maybe our drivers like knew 1030 00:46:44,600 --> 00:46:45,480 Speaker 3: what we were talking about. 1031 00:46:45,600 --> 00:46:47,239 Speaker 1: I hope not because we were making fun of them, 1032 00:46:47,320 --> 00:46:49,640 Speaker 1: just kidding, d D. All Right, this has been a 1033 00:46:49,680 --> 00:46:52,440 Speaker 1: lot of fun. We are headed back to the States. 1034 00:46:52,680 --> 00:46:56,759 Speaker 1: So thank you China. This was great. I mean, we 1035 00:46:56,800 --> 00:46:59,120 Speaker 1: talked about the good, we talked about the bad, we 1036 00:46:59,160 --> 00:47:02,200 Speaker 1: answered some question I thought. Overall, the rich On Tech 1037 00:47:02,400 --> 00:47:07,239 Speaker 1: Special Edition China Podcast was awesome. Yeah, and thanks to 1038 00:47:07,280 --> 00:47:09,359 Speaker 1: you for listening to the show. It continues to grow, 1039 00:47:09,400 --> 00:47:11,720 Speaker 1: by the way, So you guys obviously like what we're doing, 1040 00:47:12,000 --> 00:47:13,719 Speaker 1: so we're going to keep the format the way it is. 1041 00:47:13,760 --> 00:47:15,360 Speaker 1: I think Megan is going to stay as part of 1042 00:47:15,400 --> 00:47:17,759 Speaker 1: the show. Is that cool with you? So you like 1043 00:47:17,840 --> 00:47:20,439 Speaker 1: the questions keeping coming? If you have a question, send 1044 00:47:20,480 --> 00:47:22,080 Speaker 1: it to me. You can go to my website rich 1045 00:47:22,120 --> 00:47:24,440 Speaker 1: on tech dot tv, or you can send it to 1046 00:47:24,560 --> 00:47:27,640 Speaker 1: Hello at rich on tech dot tv. Just put in 1047 00:47:27,680 --> 00:47:31,000 Speaker 1: your subject either way podcast question and we'll do our 1048 00:47:31,000 --> 00:47:33,920 Speaker 1: best to answer it. And thanks so much for listening. 1049 00:47:33,920 --> 00:47:37,919 Speaker 1: If you haven't subscribed already, do so. Just search rich 1050 00:47:37,960 --> 00:47:40,239 Speaker 1: on tech in your favorite podcast app. That could be 1051 00:47:40,280 --> 00:47:43,439 Speaker 1: Apple podcasts, that could be pocket casts. Overcast is also 1052 00:47:43,480 --> 00:47:45,759 Speaker 1: a really good one. My book is called one hundred 1053 00:47:45,760 --> 00:47:47,839 Speaker 1: and one Handy Tech Tips for the iPhone. It's on 1054 00:47:47,920 --> 00:47:51,680 Speaker 1: Amazon and paperback. It's for iOS twelve, iOS thirteen. Yes 1055 00:47:51,840 --> 00:47:54,239 Speaker 1: is coming out, so Megan knows. I've been struggling with 1056 00:47:54,280 --> 00:47:57,040 Speaker 1: the fact that I will probably be writing rewriting my 1057 00:47:57,080 --> 00:47:59,759 Speaker 1: book very soon. So that's the last you'll ever see 1058 00:47:59,800 --> 00:48:02,360 Speaker 1: of me. Don't forget to sign up for our newsletter. 1059 00:48:02,400 --> 00:48:06,120 Speaker 1: It's at richon tech dot tv. Producer Megan. I always 1060 00:48:06,120 --> 00:48:07,280 Speaker 1: ask did you enjoy the show? 1061 00:48:07,440 --> 00:48:08,560 Speaker 3: Yes, I enjoyed the show. 1062 00:48:08,600 --> 00:48:09,440 Speaker 1: Do you enjoy China? 1063 00:48:10,160 --> 00:48:12,200 Speaker 3: I really liked China. 1064 00:48:12,360 --> 00:48:14,480 Speaker 1: Are you ready for the twelve hour flight back. 1065 00:48:15,800 --> 00:48:19,400 Speaker 3: Yes, I think so. I'm just going to sleep and watch. 1066 00:48:19,360 --> 00:48:22,319 Speaker 1: TV and movies and have those little tiny drinks you 1067 00:48:22,320 --> 00:48:24,560 Speaker 1: always like. All Right, I'm rich tomorrow. Thanks so much 1068 00:48:24,600 --> 00:48:26,160 Speaker 1: for listening. Have a great day. We will talk to you. 1069 00:48:26,360 --> 00:48:26,839 Speaker 1: We'll soon