1 00:00:08,000 --> 00:00:04,460 good morning everybody 2 00:00:10,580 --> 00:00:08,010 as they just said my name's Christopher 3 00:00:13,490 --> 00:00:10,590 Smith and actually today's today's my 4 00:00:14,230 --> 00:00:13,500 birthday really excited about that thank 5 00:00:26,240 --> 00:00:14,240 you 6 00:00:28,429 --> 00:00:26,250 crazy that's probably wise so uh so 7 00:00:30,830 --> 00:00:28,439 anyways I'm here today to talk about a 8 00:00:32,120 --> 00:00:30,840 small experiment that was conducted as 9 00:00:36,799 --> 00:00:32,130 part of a course at the University of 10 00:00:38,060 --> 00:00:36,809 Colorado and the experiment predicted 11 00:00:39,920 --> 00:00:38,070 the daily outcome of the Dow Jones 12 00:00:42,740 --> 00:00:39,930 Industrial Average and we use 10 13 00:00:44,990 --> 00:00:42,750 experienced remote viewers and use the 14 00:00:46,310 --> 00:00:45,000 Associated no viewing protocol and as 15 00:00:48,650 --> 00:00:46,320 you can see seven out of seven trials 16 00:00:50,569 --> 00:00:48,660 were predicted successfully which is 17 00:00:55,510 --> 00:00:50,579 highly significant with less than 1% 18 00:00:59,540 --> 00:00:58,099 first let me talk about what the mode 19 00:01:01,130 --> 00:00:59,550 dealing is and I'm sure most of you here 20 00:01:03,799 --> 00:01:01,140 are familiar with it but for the sake of 21 00:01:05,270 --> 00:01:03,809 this talk I'm just going to define it as 22 00:01:07,550 --> 00:01:05,280 the ability to gather information about 23 00:01:10,399 --> 00:01:07,560 a target that is distant or unseen using 24 00:01:13,100 --> 00:01:10,409 only the mind and so then associated 25 00:01:14,359 --> 00:01:13,110 remote viewing or ARV would be a type of 26 00:01:16,370 --> 00:01:14,369 remote viewing or a remote viewing 27 00:01:18,499 --> 00:01:16,380 protocol that's used to predict the 28 00:01:21,410 --> 00:01:18,509 outcome of an event and usually this 29 00:01:23,240 --> 00:01:21,420 event is a binomial event meaning that 30 00:01:25,340 --> 00:01:23,250 there are two possible outcomes only one 31 00:01:29,210 --> 00:01:25,350 of which can come true like flipping a 32 00:01:32,149 --> 00:01:29,220 coin a little bit about some associative 33 00:01:34,789 --> 00:01:32,159 movie only background some of the 34 00:01:37,010 --> 00:01:34,799 earlier studies were Russell Targ sorry 35 00:01:39,440 --> 00:01:37,020 Russell Targ and Keith Ray and I 36 00:01:41,539 --> 00:01:39,450 predicted this set of features being 37 00:01:44,510 --> 00:01:41,549 very successful predicting nine other 38 00:01:45,950 --> 00:01:44,520 trials correctly out of nine and then 39 00:01:48,200 --> 00:01:45,960 there was how put-off study that was 40 00:01:50,480 --> 00:01:48,210 published in 84 which predicted 41 00:01:52,149 --> 00:01:50,490 commodities markets 21 out of 30 times 42 00:01:55,510 --> 00:01:52,159 correctly resulting a really high 43 00:02:01,300 --> 00:01:55,520 probability that it's not due to chance 44 00:02:04,370 --> 00:02:01,310 another study in 95 with target at all 45 00:02:07,969 --> 00:02:04,380 use to viewers each doing six sessions 46 00:02:10,479 --> 00:02:07,979 so 12:36 47 00:02:12,350 --> 00:02:10,489 I guess sessions so 12 of the sessions 48 00:02:15,590 --> 00:02:12,360 sorry 11 sessions were 49 00:02:17,330 --> 00:02:15,600 out of the 12 also resulting in a really 50 00:02:23,140 --> 00:02:17,340 higher probability that it was not due a 51 00:02:26,540 --> 00:02:23,150 chance and then Greg called jezik judges 52 00:02:27,950 --> 00:02:26,550 pronouncing that correctly over the 53 00:02:31,430 --> 00:02:27,960 years has conducted a lot of informal 54 00:02:34,580 --> 00:02:31,440 experiments being correct even he's than 55 00:02:37,540 --> 00:02:34,590 over 3600 of them and was correct almost 56 00:02:40,550 --> 00:02:37,550 2000 of this the sessions so that really 57 00:02:41,750 --> 00:02:40,560 results in a high pvalue as well and all 58 00:02:43,700 --> 00:02:41,760 this information is available on his 59 00:02:45,830 --> 00:02:43,710 website and I don't have that here but 60 00:02:47,090 --> 00:02:45,840 you can find it relatively easier he 61 00:02:47,300 --> 00:02:47,100 comes out to me after a result I'll let 62 00:02:50,960 --> 00:02:47,310 you know 63 00:02:52,460 --> 00:02:50,970 and then Jack calc wrote extensively on 64 00:02:53,960 --> 00:02:52,470 his website also about remote viewing 65 00:02:57,560 --> 00:02:53,970 and that's available for you to go check 66 00:02:58,820 --> 00:02:57,570 out as well as you can see using remote 67 00:03:01,100 --> 00:02:58,830 viewing to predict the stock market has 68 00:03:02,449 --> 00:03:01,110 been something that has been talked 69 00:03:03,980 --> 00:03:02,459 about for a while and this is just an 70 00:03:06,530 --> 00:03:03,990 example of an advertisement that you can 71 00:03:10,460 --> 00:03:06,540 find or see on the web and in some 72 00:03:12,890 --> 00:03:10,470 publications so let's talk a bit about 73 00:03:16,160 --> 00:03:12,900 the protocol and the way that we did our 74 00:03:17,440 --> 00:03:16,170 experiment we is similar to how most 75 00:03:20,120 --> 00:03:17,450 people do associate remote viewing 76 00:03:22,720 --> 00:03:20,130 experiments and there's really five 77 00:03:25,040 --> 00:03:22,730 steps so the first one is the tasking 78 00:03:29,090 --> 00:03:25,050 the second step would be the actual 79 00:03:30,890 --> 00:03:29,100 viewing the third the judging the force 80 00:03:33,500 --> 00:03:30,900 is when the transaction takes place and 81 00:03:35,810 --> 00:03:33,510 then the fifth is the feedback when you 82 00:03:39,259 --> 00:03:35,820 when you give the viewers the results 83 00:03:42,020 --> 00:03:39,269 and there are three main rules involved 84 00:03:44,090 --> 00:03:42,030 in experiment there was the Tasker but 85 00:03:47,270 --> 00:03:44,100 the viewer or viewers in our case and 86 00:03:49,400 --> 00:03:47,280 the judge and it's possible for the task 87 00:03:52,880 --> 00:03:49,410 and the judge to be the same although in 88 00:03:53,900 --> 00:03:52,890 our case they were to donate in depth 89 00:03:57,860 --> 00:03:53,910 about how we did I'm going to take you 90 00:04:00,320 --> 00:03:57,870 through one of our sessions so the task 91 00:04:02,690 --> 00:04:00,330 you chose before the actual session two 92 00:04:04,850 --> 00:04:02,700 different images one the keyboard in 93 00:04:07,160 --> 00:04:04,860 this case represented it was associated 94 00:04:09,440 --> 00:04:07,170 with the market being up at the end of 95 00:04:12,130 --> 00:04:09,450 day and the second image the earth was 96 00:04:15,789 --> 00:04:12,140 associated with the market being down 97 00:04:18,409 --> 00:04:15,799 after this was decided the Tasker then 98 00:04:20,569 --> 00:04:18,419 came to our class in this case 99 00:04:23,059 --> 00:04:20,579 and simply said draw the picture that we 100 00:04:25,730 --> 00:04:23,069 are gonna show you at the beginning of 101 00:04:29,029 --> 00:04:25,740 our next class and just based on the way 102 00:04:30,950 --> 00:04:29,039 that College schedules work sometimes I 103 00:04:32,510 --> 00:04:30,960 was two days and sometimes that was more 104 00:04:35,390 --> 00:04:32,520 like three days three or four days if 105 00:04:38,119 --> 00:04:35,400 there was a weekend and we were given 106 00:04:40,580 --> 00:04:38,129 five minutes to complete the session and 107 00:04:44,540 --> 00:04:40,590 we stayed in the group and so we all 108 00:04:46,129 --> 00:04:44,550 reviewing at the same time so then we 109 00:04:48,320 --> 00:04:46,139 viewed and this is an example of what 110 00:04:52,219 --> 00:04:48,330 one of those viewers drew and as you can 111 00:04:53,990 --> 00:04:52,229 see here there's a half circle and and 112 00:04:58,309 --> 00:04:54,000 it says here bright colors green red 113 00:05:00,379 --> 00:04:58,319 yellow and white and so then the next 114 00:05:02,899 --> 00:05:00,389 step the judging the judge took that and 115 00:05:05,119 --> 00:05:02,909 then examined that session compared it 116 00:05:07,429 --> 00:05:05,129 to the Associated images look for 117 00:05:09,529 --> 00:05:07,439 similarities between the session images 118 00:05:10,969 --> 00:05:09,539 and one of the in the two targets and 119 00:05:13,760 --> 00:05:10,979 insult which one it compared more 120 00:05:17,480 --> 00:05:13,770 closely to and then use that target to 121 00:05:20,089 --> 00:05:17,490 guide or an ad actually they did this 122 00:05:22,219 --> 00:05:20,099 for each of the sessions so whichever of 123 00:05:25,100 --> 00:05:22,229 the two images the Associated images had 124 00:05:26,899 --> 00:05:25,110 the most sessions that was sort of 125 00:05:28,850 --> 00:05:26,909 correlated with it we use that to 126 00:05:32,749 --> 00:05:28,860 predict how the market would actually 127 00:05:35,240 --> 00:05:32,759 perform the next day so in our case we 128 00:05:36,559 --> 00:05:35,250 had the keyboard and the planet keyboard 129 00:05:38,300 --> 00:05:36,569 representing up in the in the plan of 130 00:05:40,189 --> 00:05:38,310 the presenting down and then we had this 131 00:05:42,769 --> 00:05:40,199 session so the judge would look at these 132 00:05:45,679 --> 00:05:42,779 elements here the half circle the bright 133 00:05:47,420 --> 00:05:45,689 colors green yellow and white and and 134 00:05:48,409 --> 00:05:47,430 choose which category to put it in this 135 00:05:50,059 --> 00:05:48,419 one is little harder because there's 136 00:05:51,980 --> 00:05:50,069 also the square here which could be the 137 00:05:54,079 --> 00:05:51,990 keyboard but but I think the judge 138 00:05:59,869 --> 00:05:54,089 determined that these over reared that 139 00:06:01,510 --> 00:05:59,879 one and sure enough he assigned it to 140 00:06:05,719 --> 00:06:01,520 the down category 141 00:06:07,010 --> 00:06:05,729 so then majority of the sessions were 142 00:06:09,920 --> 00:06:07,020 associated the down category so the 143 00:06:13,850 --> 00:06:09,930 tester then bought options bought 144 00:06:15,230 --> 00:06:13,860 options on down category and then about 145 00:06:17,570 --> 00:06:15,240 in the morning in the mid servant in the 146 00:06:21,889 --> 00:06:17,580 in the afternoon before the close of the 147 00:06:23,719 --> 00:06:21,899 trading day and the next day gave us 148 00:06:26,869 --> 00:06:23,729 feedback and so the feedback is very 149 00:06:28,579 --> 00:06:26,879 important this is where the Tasker comes 150 00:06:29,960 --> 00:06:28,589 in and shows the image associated with 151 00:06:33,230 --> 00:06:29,970 the actual outcome of 152 00:06:35,270 --> 00:06:33,240 the stockmarket performed and only how 153 00:06:37,160 --> 00:06:35,280 the actual how come not not necessarily 154 00:06:40,730 --> 00:06:37,170 the image that the most images were 155 00:06:43,550 --> 00:06:40,740 associated with and it must take place 156 00:06:46,460 --> 00:06:43,560 at the expected time so that way when 157 00:06:48,260 --> 00:06:46,470 you're viewing originally they're 158 00:06:49,970 --> 00:06:48,270 tapping into that feedback event and it 159 00:06:53,780 --> 00:06:49,980 closes the feedback loop it's really 160 00:06:55,340 --> 00:06:53,790 important so in our case the actual mark 161 00:06:58,160 --> 00:06:55,350 the market actually performed down that 162 00:06:59,930 --> 00:06:58,170 day which was correlated with the planet 163 00:07:01,790 --> 00:06:59,940 this is so this is what we showed the 164 00:07:06,260 --> 00:07:01,800 viewers and it was a hit and we were 165 00:07:08,390 --> 00:07:06,270 successful so moving on I'm gonna show a 166 00:07:10,730 --> 00:07:08,400 few more sessions you can kind of get an 167 00:07:12,470 --> 00:07:10,740 idea of the quality of some of the work 168 00:07:15,980 --> 00:07:12,480 that these experience from our viewers 169 00:07:18,830 --> 00:07:15,990 were doing so here we have a session 170 00:07:21,890 --> 00:07:18,840 where the viewer drew this teletype 171 00:07:24,920 --> 00:07:21,900 object and described it as tall obvious 172 00:07:28,220 --> 00:07:24,930 shaped metal surrounded by an open space 173 00:07:31,790 --> 00:07:28,230 or field it's cold lonely got a person 174 00:07:34,820 --> 00:07:31,800 down here reminded them of a Washington 175 00:07:37,340 --> 00:07:34,830 Monument a ladder the radio tower in 176 00:07:39,100 --> 00:07:37,350 field or the Eiffel Tower and the judge 177 00:07:45,370 --> 00:07:39,110 had to choose between these two images a 178 00:07:47,420 --> 00:07:45,380 planet and the Statue of Liberty and so 179 00:07:49,460 --> 00:07:47,430 needs to say the judge put it in a 180 00:07:54,290 --> 00:07:49,470 category the Statue of Liberty which was 181 00:07:56,710 --> 00:07:54,300 a hit in this session the viewer drew a 182 00:07:59,210 --> 00:07:56,720 little rabbit looking thing here and 183 00:08:02,020 --> 00:07:59,220 some sort of flower type shape and 184 00:08:05,150 --> 00:08:02,030 described it as fuzzy furry 185 00:08:09,440 --> 00:08:05,160 Underground's reminding him of a small 186 00:08:10,820 --> 00:08:09,450 mammal and a coat rack top and so the 187 00:08:15,040 --> 00:08:10,830 judge had to choose between these two 188 00:08:18,050 --> 00:08:15,050 images a mountain biker and a hamster 189 00:08:19,700 --> 00:08:18,060 but means to say he's really confused 190 00:08:21,680 --> 00:08:19,710 about where this fit in and how to like 191 00:08:23,930 --> 00:08:21,690 I mean this element wasn't really 192 00:08:26,300 --> 00:08:23,940 present I mean it you know like really 193 00:08:28,640 --> 00:08:26,310 clearly needed these two images but upon 194 00:08:30,050 --> 00:08:28,650 closer inspection I thought that maybe 195 00:08:33,469 --> 00:08:30,060 it looked a little bit like the hamsters 196 00:08:36,140 --> 00:08:33,479 foot so it's possible to lead up to you 197 00:08:37,630 --> 00:08:36,150 decide but 198 00:08:40,010 --> 00:08:37,640 so if we look at the individual results 199 00:08:42,860 --> 00:08:40,020 annotated here where each column 200 00:08:45,950 --> 00:08:42,870 represents a viewer the green represents 201 00:08:48,079 --> 00:08:45,960 hits the red represents misses and the 202 00:08:49,370 --> 00:08:48,089 white represents either they weren't in 203 00:08:51,320 --> 00:08:49,380 attendance that day and didn't do the 204 00:08:52,430 --> 00:08:51,330 session or they were just too close to 205 00:08:54,860 --> 00:08:52,440 actually put in one of the two 206 00:08:57,350 --> 00:08:54,870 categories and as you can see this long 207 00:08:59,269 --> 00:08:57,360 more green than red here and if you if 208 00:09:02,269 --> 00:08:59,279 you look down here then that indicates 209 00:09:04,700 --> 00:09:02,279 that 47 of the 66 individual sessions 210 00:09:07,040 --> 00:09:04,710 were considered hits and that is pretty 211 00:09:09,320 --> 00:09:07,050 highly significant p-value of the 212 00:09:10,910 --> 00:09:09,330 probability of doing being due to chance 213 00:09:14,930 --> 00:09:10,920 being less than point zero zero three 214 00:09:16,010 --> 00:09:14,940 and however that wasn't exactly what we 215 00:09:17,990 --> 00:09:16,020 were trying to do we weren't trying to 216 00:09:20,000 --> 00:09:18,000 see how many sessions be right but 217 00:09:22,010 --> 00:09:20,010 rather we can predict the market in the 218 00:09:25,130 --> 00:09:22,020 seven different trials so this isn't the 219 00:09:29,660 --> 00:09:25,140 p-value that we were ultimately looking 220 00:09:31,940 --> 00:09:29,670 for so they this led to a number of 221 00:09:33,860 --> 00:09:31,950 different questions and so the first 222 00:09:36,410 --> 00:09:33,870 question is is the better to use one 223 00:09:38,630 --> 00:09:36,420 expert remote viewer or several 224 00:09:40,790 --> 00:09:38,640 inexperienced from over yours and if we 225 00:09:43,760 --> 00:09:40,800 take a look at our group results we can 226 00:09:45,980 --> 00:09:43,770 see that one viewer correctly predicted 227 00:09:47,510 --> 00:09:45,990 seven out of seven Charles but six 228 00:09:51,170 --> 00:09:47,520 correctly predicted five out of the 229 00:09:52,690 --> 00:09:51,180 seven to four to the seven and one was 230 00:09:57,110 --> 00:09:52,700 off so if you were to use just one 231 00:09:58,250 --> 00:09:57,120 remote viewer you could see that if you 232 00:10:00,380 --> 00:09:58,260 use this one you would you would do 233 00:10:03,230 --> 00:10:00,390 really well but if you use this one you 234 00:10:05,480 --> 00:10:03,240 wouldn't do so well so but when you 235 00:10:06,440 --> 00:10:05,490 activate all of them we actually ended 236 00:10:10,190 --> 00:10:06,450 up being correct 237 00:10:11,690 --> 00:10:10,200 you know all seven times so the second 238 00:10:13,880 --> 00:10:11,700 question it brings up is how can we 239 00:10:16,610 --> 00:10:13,890 improve the judging this might have been 240 00:10:18,079 --> 00:10:16,620 the hardest part for us and potentially 241 00:10:22,010 --> 00:10:18,089 the hardest part in a lot of associate 242 00:10:24,320 --> 00:10:22,020 remote viewing I imagine and as an 243 00:10:27,199 --> 00:10:24,330 example we had this session here which 244 00:10:30,650 --> 00:10:27,209 you had these crossed things separate 245 00:10:32,600 --> 00:10:30,660 items bell-shaped these curvy things 246 00:10:36,290 --> 00:10:32,610 that look like creepy fingers bent over 247 00:10:38,150 --> 00:10:36,300 Bowl fuzzy round object expanding from 248 00:10:41,540 --> 00:10:38,160 inside out and the judge had to choose 249 00:10:42,060 --> 00:10:41,550 between the Needle in Seattle or these 250 00:10:44,850 --> 00:10:42,070 these 251 00:10:46,860 --> 00:10:44,860 Rand's here and there's elements in both 252 00:10:48,720 --> 00:10:46,870 as you can see this kind of looks like 253 00:10:51,840 --> 00:10:48,730 the horns this kind of looks like the 254 00:10:53,100 --> 00:10:51,850 feet of the beetle and the judge put in 255 00:10:55,800 --> 00:10:53,110 the category the needle due mostly to 256 00:10:57,749 --> 00:10:55,810 this and the saucer thing but in 257 00:10:59,730 --> 00:10:57,759 actuality the Rams were the right one 258 00:11:02,040 --> 00:10:59,740 and so this is typically known as this 259 00:11:04,650 --> 00:11:02,050 displacement where you getting images of 260 00:11:06,420 --> 00:11:04,660 both of the two sessions and that's a 261 00:11:08,519 --> 00:11:06,430 problem and it's kind of hard to deal 262 00:11:11,610 --> 00:11:08,529 with so judging is actually pretty 263 00:11:13,949 --> 00:11:11,620 subjective so this improve judging is 264 00:11:16,400 --> 00:11:13,959 you can pick very different objects to 265 00:11:20,460 --> 00:11:16,410 avoid as much displacement as possible 266 00:11:22,110 --> 00:11:20,470 you can determine in advance what types 267 00:11:24,210 --> 00:11:22,120 of criteria are gonna outweigh other 268 00:11:28,069 --> 00:11:24,220 types etc and you can use multiple 269 00:11:30,150 --> 00:11:28,079 judges to further aggregate the results 270 00:11:32,189 --> 00:11:30,160 so the next question it brings up this 271 00:11:35,579 --> 00:11:32,199 how can we improve the transaction 272 00:11:37,259 --> 00:11:35,589 timing and this is important because as 273 00:11:38,759 --> 00:11:37,269 you can see this is the dow jones on an 274 00:11:41,999 --> 00:11:38,769 adjuster ran one of the days of our 275 00:11:44,790 --> 00:11:42,009 sessions and you know it starts down it 276 00:11:47,100 --> 00:11:44,800 actually goes up at about three o'clock 277 00:11:50,670 --> 00:11:47,110 before finally closing down 278 00:11:53,610 --> 00:11:50,680 so if our transaction time fluctuate a 279 00:11:56,069 --> 00:11:53,620 day to day it could be at 3 1 billion 280 00:11:59,449 --> 00:11:56,079 min a fourth day another day and it 281 00:12:04,259 --> 00:12:02,550 so that would that indicated us is that 282 00:12:07,079 --> 00:12:04,269 we need to spit pick specific 283 00:12:08,519 --> 00:12:07,089 transaction times another probably 284 00:12:10,259 --> 00:12:08,529 encountered is that we were trying to 285 00:12:12,090 --> 00:12:10,269 sell right before the the close of the 286 00:12:16,430 --> 00:12:12,100 day when everybody's trying to sell and 287 00:12:18,809 --> 00:12:16,440 so we ended up you know missing out on 288 00:12:21,120 --> 00:12:18,819 you know revenue which isn't really that 289 00:12:23,600 --> 00:12:21,130 important this experiment but yeah I 290 00:12:25,829 --> 00:12:23,610 think it's really important to be 291 00:12:30,900 --> 00:12:25,839 exactly sure when you're gonna sell and 292 00:12:32,309 --> 00:12:30,910 a little bit before like say for 30 some 293 00:12:34,500 --> 00:12:32,319 of the strengths in this study though is 294 00:12:36,379 --> 00:12:34,510 that we use multiple viewers and as far 295 00:12:38,819 --> 00:12:36,389 as I'm aware I don't know if this has 296 00:12:40,829 --> 00:12:38,829 been done before in the same way where 297 00:12:45,660 --> 00:12:40,839 we used several viewers and then I'm 298 00:12:47,100 --> 00:12:45,670 picking one on one task and I could be 299 00:12:49,080 --> 00:12:47,110 running that at someone let me know at 300 00:12:52,120 --> 00:12:49,090 the end of family 301 00:12:54,460 --> 00:12:52,130 we use real money which we think might 302 00:12:55,720 --> 00:12:54,470 have connected the viewers with the 303 00:12:57,010 --> 00:12:55,730 actual outcome of what they're trying to 304 00:12:58,690 --> 00:12:57,020 predict even though it's not necessarily 305 00:13:01,090 --> 00:12:58,700 that they even know what they're trying 306 00:13:02,380 --> 00:13:01,100 to predict and the study was a 307 00:13:06,360 --> 00:13:02,390 predetermined length of time which 308 00:13:08,830 --> 00:13:06,370 avoided viewer burnout and fatigue 309 00:13:10,000 --> 00:13:08,840 so it basically absolutely conclude was 310 00:13:13,510 --> 00:13:10,010 saying that our study was pretty 311 00:13:16,420 --> 00:13:13,520 successful where for the limited scope 312 00:13:18,640 --> 00:13:16,430 of it pretty successful with how it 313 00:13:20,770 --> 00:13:18,650 turned out and also given that there's 314 00:13:22,270 --> 00:13:20,780 only been a few handful studies before 315 00:13:25,360 --> 00:13:22,280 this and only a couple that have been 316 00:13:26,410 --> 00:13:25,370 published this is a really rich area for 317 00:13:28,330 --> 00:13:26,420 research tonight and I highly recommend 318 00:13:31,150 --> 00:13:28,340 that anybody take that on if they fill 319 00:13:36,040 --> 00:13:31,160 up to it and we're currently developing 320 00:13:38,860 --> 00:13:36,050 we go back there some new judging 321 00:13:40,030 --> 00:13:38,870 criteria and a schema that would track 322 00:13:43,990 --> 00:13:40,040 and wade viewers based on the 323 00:13:45,430 --> 00:13:44,000 performance over time and so when 324 00:13:47,410 --> 00:13:45,440 someone's really on for a streak of time 325 00:13:49,240 --> 00:13:47,420 maybe the session would be kind of a 326 00:13:50,980 --> 00:13:49,250 little bit more heavily than somebody 327 00:13:53,860 --> 00:13:50,990 who's traditionally not performing as 328 00:13:56,470 --> 00:13:53,870 well hey that's it thanks a lot for 329 00:14:01,830 --> 00:13:56,480 taking time with me on I think that some 330 00:14:15,910 --> 00:14:12,190 we have six minutes for questions I'd 331 00:14:19,150 --> 00:14:15,920 like a comment that I find it very 332 00:14:22,000 --> 00:14:19,160 interesting that you got good results 333 00:14:26,650 --> 00:14:22,010 with multiple viewers tasked at the same 334 00:14:28,660 --> 00:14:26,660 target event since a number of remote 335 00:14:31,420 --> 00:14:28,670 viewers I've talked to informally have 336 00:14:32,650 --> 00:14:31,430 had the opinion that having multiple 337 00:14:34,510 --> 00:14:32,660 people trying to look at the same 338 00:14:41,110 --> 00:14:34,520 outcome they interfere with each other 339 00:14:44,740 --> 00:14:41,120 and your accuracy goes down yeah I'm not 340 00:14:46,690 --> 00:14:44,750 aware of that in particular but that is 341 00:14:48,940 --> 00:14:46,700 interesting in it that's something that 342 00:14:51,160 --> 00:14:48,950 further research in the field could 343 00:14:52,990 --> 00:14:51,170 really you know sort of try to work out 344 00:14:55,590 --> 00:14:53,000 and if you could isolate for the 345 00:14:57,940 --> 00:14:55,600 different factors like that that would 346 00:15:00,610 --> 00:14:57,950 hi thanks for the presentation 347 00:15:03,220 --> 00:15:00,620 you're probably worth at Gregg to call 348 00:15:05,260 --> 00:15:03,230 it G Zak I think how you say it I think 349 00:15:06,850 --> 00:15:05,270 I can't have a pronounced rice always 350 00:15:09,120 --> 00:15:06,860 call him Greg k that's what we've called 351 00:15:12,970 --> 00:15:09,130 a okay he used a slightly different 352 00:15:14,230 --> 00:15:12,980 methodology college okay I used a 353 00:15:17,020 --> 00:15:14,240 slightly different methodology where he 354 00:15:19,000 --> 00:15:17,030 was the viewer and the judge and he 355 00:15:21,070 --> 00:15:19,010 would show himself the targets as soon 356 00:15:23,470 --> 00:15:21,080 as the session was done but only briefly 357 00:15:26,530 --> 00:15:23,480 and then a lot himself like a full 358 00:15:28,780 --> 00:15:26,540 couple minutes at the end of the day now 359 00:15:30,160 --> 00:15:28,790 some more traditional remote viewers 360 00:15:32,620 --> 00:15:30,170 thought you can't do it that way just 361 00:15:34,810 --> 00:15:32,630 because you know you'd see both targets 362 00:15:37,150 --> 00:15:34,820 but his results seemed to have been as 363 00:15:38,890 --> 00:15:37,160 good as anyone else who's done ARV what 364 00:15:40,780 --> 00:15:38,900 do you think about them yeah that's 365 00:15:42,580 --> 00:15:40,790 actually really interesting and I think 366 00:15:44,350 --> 00:15:42,590 that that's also a filler earlier 367 00:15:47,110 --> 00:15:44,360 research I think in our case that 368 00:15:48,880 --> 00:15:47,120 wouldn't work just because we have 10 369 00:15:50,410 --> 00:15:48,890 viewers and so you would still be 370 00:15:53,740 --> 00:15:50,420 interpreting I mean maybe if you 371 00:15:55,060 --> 00:15:53,750 interpreted your own each person 372 00:15:57,310 --> 00:15:55,070 interpret their own yeah I mean I guess 373 00:15:59,620 --> 00:15:57,320 I would that be a good thing to look 374 00:16:03,940 --> 00:15:59,630 into but yeah we we didn't design it 375 00:16:05,900 --> 00:16:03,950 that way yeah okay why ain't you rich or 376 00:16:08,519 --> 00:16:05,910 are you 377 00:16:12,180 --> 00:16:08,529 well I'm not rich because I didn't 378 00:16:15,240 --> 00:16:12,190 invest the money in the experiment but 379 00:16:18,090 --> 00:16:15,250 actually we were pretty financially 380 00:16:20,400 --> 00:16:18,100 successful with this and and i you know 381 00:16:21,960 --> 00:16:20,410 i i'd say you could be rich if you 382 00:16:23,490 --> 00:16:21,970 wanted to invest the time it's it's 383 00:16:26,190 --> 00:16:23,500 anybody as you can see we using 384 00:16:27,840 --> 00:16:26,200 inexperienced remote viewers can really 385 00:16:29,639 --> 00:16:27,850 do this and i'm not i'm surprised that 386 00:16:33,930 --> 00:16:29,649 not more people are or if they are 387 00:16:37,470 --> 00:16:33,940 they're not talking about it one day in 388 00:16:41,010 --> 00:16:37,480 larry gosse's book on premonitions he 389 00:16:43,620 --> 00:16:41,020 addresses this very issue and he claims 390 00:16:46,680 --> 00:16:43,630 that that all of the data that he's 391 00:16:49,470 --> 00:16:46,690 looked at if people are looking to use 392 00:16:53,460 --> 00:16:49,480 premonitions to get rich it doesn't work 393 00:17:00,660 --> 00:16:53,470 and if they're using it for you know 394 00:17:03,660 --> 00:17:00,670 like the to help somebody or have an 395 00:17:06,329 --> 00:17:03,670 altruistic kind of thing that it does 396 00:17:10,020 --> 00:17:06,339 and this seems to be at our licious 397 00:17:13,439 --> 00:17:10,030 premonitions it's similar what would you 398 00:17:15,000 --> 00:17:13,449 say about that did you get to keep the 399 00:17:15,390 --> 00:17:15,010 money nor did you do something else with 400 00:17:17,220 --> 00:17:15,400 it 401 00:17:18,449 --> 00:17:17,230 no actually none of the viewers got to 402 00:17:20,929 --> 00:17:18,459 keep the money they were treated to a 403 00:17:23,640 --> 00:17:20,939 all-you-can-eat sushi dinner afterwards 404 00:17:25,380 --> 00:17:23,650 but what i would say is that it's not 405 00:17:26,850 --> 00:17:25,390 actually important what you're viewing 406 00:17:29,640 --> 00:17:26,860 in fact the viewers need not even be 407 00:17:31,230 --> 00:17:29,650 aware of it all they're doing is viewing 408 00:17:34,460 --> 00:17:31,240 the target photo that they're going to 409 00:17:37,980 --> 00:17:34,470 be showing the next day however i think 410 00:17:44,190 --> 00:17:37,990 paul you do you have some just responded 411 00:17:50,020 --> 00:17:46,810 he's pretty rattled my computer back 412 00:17:51,310 --> 00:17:50,030 here the fact of the matter is that an 413 00:17:55,360 --> 00:17:51,320 ARB experiments that seems to be 414 00:17:56,650 --> 00:17:55,370 irrelevant there's been lots of these 415 00:17:59,050 --> 00:17:56,660 done informally just haven't been 416 00:18:00,850 --> 00:17:59,060 published and the majority of them have 417 00:18:03,010 --> 00:18:00,860 been successful financially and they 418 00:18:04,960 --> 00:18:03,020 have been done for profit not if it with 419 00:18:07,450 --> 00:18:04,970 any kind of altruistic purpose involved 420 00:18:10,090 --> 00:18:07,460 so I want to say one thing about great 421 00:18:13,750 --> 00:18:10,100 call Jesse his results actually weren't 422 00:18:16,450 --> 00:18:13,760 as good as most ARV experiments it's 423 00:18:19,390 --> 00:18:16,460 just he did so many of them that he has 424 00:18:30,270 --> 00:18:19,400 the the you know the feature of large 425 00:18:36,370 --> 00:18:32,470 okay I'd like to ask you about these 426 00:18:43,110 --> 00:18:36,380 images they were complicated could 427 00:18:48,610 --> 00:18:46,300 that's a good question I would think 428 00:18:51,430 --> 00:18:48,620 that the more complicated the more 429 00:18:53,830 --> 00:18:51,440 chance you are of finding elements that 430 00:18:57,310 --> 00:18:53,840 the correlate if you just had a circle 431 00:18:58,390 --> 00:18:57,320 and then somebody drew a square and the 432 00:18:59,860 --> 00:18:58,400 scissors that you would choose the 433 00:19:01,450 --> 00:18:59,870 associate injures were a triangle and 434 00:19:03,820 --> 00:19:01,460 it's in a circle and they drew a square 435 00:19:05,410 --> 00:19:03,830 what are you gonna do with that if you 436 00:19:07,780 --> 00:19:05,420 know I mean you can't put it in here 437 00:19:09,580 --> 00:19:07,790 and I think when you have more complex 438 00:19:12,330 --> 00:19:09,590 images there are features of it that you 439 00:19:15,130 --> 00:19:12,340 can sort of nuance out of it and can 440 00:19:17,230 --> 00:19:15,140 more easily place in a category but 441 00:19:19,840 --> 00:19:17,240 maybe somebody has more experience with 442 00:19:22,900 --> 00:19:19,850 this one yeah 443 00:19:25,180 --> 00:19:22,910 Ryan would here I did a an associative 444 00:19:28,720 --> 00:19:25,190 remote viewing experiment with lotteries 445 00:19:31,870 --> 00:19:28,730 in like 1990 I had one viewer did this 446 00:19:33,870 --> 00:19:31,880 whole experiments of one viewer and it 447 00:19:37,960 --> 00:19:33,880 was easy to get to be statistically 448 00:19:39,790 --> 00:19:37,970 significant but basically broke even all 449 00:19:40,900 --> 00:19:39,800 the time but to be financially 450 00:19:45,130 --> 00:19:40,910 significant which other people have 451 00:19:47,230 --> 00:19:45,140 talked about seem very difficult I guess 452 00:19:49,880 --> 00:19:47,240 my question other people brought it up 453 00:19:52,640 --> 00:19:49,890 is you know 454 00:19:54,110 --> 00:19:52,650 are you a betting and a real money is it 455 00:19:57,650 --> 00:19:54,120 make a difference for anybody you know 456 00:19:59,660 --> 00:19:57,660 $1,000 here there millions tens of 457 00:20:02,840 --> 00:19:59,670 millions this is where it's got to go to 458 00:20:04,580 --> 00:20:02,850 resolve these issues maybe Paul knows of 459 00:20:07,940 --> 00:20:04,590 people that done tens of millions of 460 00:20:09,620 --> 00:20:07,950 dollars and had success I could speak a 461 00:20:12,710 --> 00:20:09,630 little bit to that we actually use real 462 00:20:14,540 --> 00:20:12,720 money and and it wasn't millions of 463 00:20:15,920 --> 00:20:14,550 dollars it was it was more like ten 464 00:20:18,680 --> 00:20:15,930 thousand dollars it was our seed money 465 00:20:20,990 --> 00:20:18,690 but and I know that the put off 466 00:20:23,360 --> 00:20:21,000 experiment used I think twenty thousand 467 00:20:24,680 --> 00:20:23,370 thereabouts and I and I think there is 468 00:20:27,260 --> 00:20:24,690 some indication that using real money 469 00:20:31,850 --> 00:20:27,270 versus not real money does make an 470 00:20:34,220 --> 00:20:31,860 impact I'm not really sure if the amount