1 00:00:03,619 --> 00:00:01,910 there's a false theory that there's some 2 00:00:05,930 --> 00:00:03,629 correlation between the location of 3 00:00:08,210 --> 00:00:05,940 deployments of 5g networks and the 4 00:00:11,060 --> 00:00:08,220 outbreaks of the Kovach 19 coronavirus 5 00:00:13,190 --> 00:00:11,070 at that location to demonstrate that 6 00:00:16,010 --> 00:00:13,200 this theory is false I'm going to use 7 00:00:18,529 --> 00:00:16,020 the kovat 19 tracker on being calm and 8 00:00:20,750 --> 00:00:18,539 the you clear 5g deployment map on 9 00:00:22,790 --> 00:00:20,760 speedtest.net this will allow us to 10 00:00:26,390 --> 00:00:22,800 identify areas of high and low density 11 00:00:29,390 --> 00:00:26,400 are both 5g and curve it 19 let's start 12 00:00:31,970 --> 00:00:29,400 at the starting point Wu ham in Hebei 13 00:00:33,950 --> 00:00:31,980 Province in China there's a huge 14 00:00:36,110 --> 00:00:33,960 difference between Hubei and the rest of 15 00:00:39,260 --> 00:00:36,120 China with coronavirus is this reflected 16 00:00:40,729 --> 00:00:39,270 in the 5g coverage no in fact there's 17 00:00:42,590 --> 00:00:40,739 plenty of other provinces and cities 18 00:00:45,680 --> 00:00:42,600 with similar or higher deployments of 19 00:00:49,790 --> 00:00:45,690 Bhaiji and hardly any coronavirus so no 20 00:00:52,340 --> 00:00:49,800 correlation there just over the ocean we 21 00:00:54,439 --> 00:00:52,350 have South Korea with way more 5g 22 00:00:56,330 --> 00:00:54,449 deployments than China and yet South 23 00:00:59,240 --> 00:00:56,340 Korea has been a coronavirus success 24 00:01:01,010 --> 00:00:59,250 story with only 200 fatalities and a 25 00:01:04,130 --> 00:01:01,020 flattening curve so there's no 26 00:01:06,980 --> 00:01:04,140 correlation there next people think 27 00:01:08,480 --> 00:01:06,990 about Italy and Spain both countries 28 00:01:11,780 --> 00:01:08,490 having suffered terribly with over 29 00:01:15,280 --> 00:01:11,790 17,000 deaths in Italy and 14,000 in 30 00:01:17,240 --> 00:01:15,290 Spain so is there a lot of 5g in Italy 31 00:01:20,840 --> 00:01:17,250 well it looks like there's a big hot 32 00:01:23,570 --> 00:01:20,850 spot right there let's zoom in actually 33 00:01:25,940 --> 00:01:23,580 we can see that nearly all of them 799 34 00:01:29,480 --> 00:01:25,950 of them are in Switzerland and only 35 00:01:32,050 --> 00:01:29,490 seven in Italy Italy only has seven 5g 36 00:01:35,060 --> 00:01:32,060 deployments Spain only has 18 37 00:01:38,179 --> 00:01:35,070 Switzerland has a hundred times as many 38 00:01:41,060 --> 00:01:38,189 5g deployments as Italy and yet it has 39 00:01:43,700 --> 00:01:41,070 one twentieth the number of deaths so 40 00:01:46,280 --> 00:01:43,710 there's no correlation there what about 41 00:01:49,249 --> 00:01:46,290 other curve 819 hotspots well if we take 42 00:01:53,510 --> 00:01:49,259 a wider view we can see two over here 43 00:01:56,709 --> 00:01:53,520 Turkey and Iran Iran has 4,000 deaths - 44 00:02:01,219 --> 00:01:56,719 he has 800 deaths both countries have 45 00:02:04,310 --> 00:02:01,229 zero 5g deployments Iran with 4,000 46 00:02:06,889 --> 00:02:04,320 deaths has zero 5g so definitely no 47 00:02:10,400 --> 00:02:06,899 correlation there the other big hotspot 48 00:02:11,860 --> 00:02:10,410 in New York certainly they have a lot of 49 00:02:13,330 --> 00:02:11,870 5g there 50 00:02:17,080 --> 00:02:13,340 for then so two other cities across the 51 00:02:19,149 --> 00:02:17,090 u.s. even nearby in Washington DC and 52 00:02:23,170 --> 00:02:19,159 Maryland there's a similar 5g density 53 00:02:24,880 --> 00:02:23,180 but hardly any Kobe 19 deaths compared 54 00:02:27,550 --> 00:02:24,890 in New York so there's really no 55 00:02:29,979 --> 00:02:27,560 correlation there of course the whole 56 00:02:32,410 --> 00:02:29,989 idea of 5g causing coronavirus is 57 00:02:34,479 --> 00:02:32,420 ridiculous there's no correlation the 58 00:02:36,339 --> 00:02:34,489 virus spreads like a virus getting a 59 00:02:39,100 --> 00:02:36,349 hold in the community gaining momentum 60 00:02:40,539 --> 00:02:39,110 as it infects more people and responding 61 00:02:42,130 --> 00:02:40,549 to social distancing measures while 62 00:02:45,460 --> 00:02:42,140 people use their phones more than ever