1 00:00:03,300 --> 00:00:09,270 [Music] 2 00:00:18,560 --> 00:00:14,610 I run a company that does projects for 3 00:00:23,730 --> 00:00:18,570 clients every project we do is funded by 4 00:00:27,330 --> 00:00:23,740 clients and just to give you the whole 5 00:00:32,310 --> 00:00:27,340 context of what we do at iris we are in 6 00:00:35,069 --> 00:00:32,320 Paris France and our team is we have 7 00:00:39,720 --> 00:00:35,079 three people working full-time in the 8 00:00:44,040 --> 00:00:39,730 remote viewing field for clients we also 9 00:00:47,550 --> 00:00:44,050 give courses but our main business is to 10 00:00:50,850 --> 00:00:47,560 do cold Sultan C services for clients 11 00:00:54,060 --> 00:00:50,860 and we work our team of viewers and 12 00:00:58,680 --> 00:00:54,070 analysts and translators transcribers 13 00:01:04,710 --> 00:00:58,690 etc or we have like about 15 people 14 00:01:10,260 --> 00:01:04,720 working in this company part-time ok so 15 00:01:14,490 --> 00:01:10,270 I'm going to tell you what we do to make 16 00:01:16,770 --> 00:01:14,500 remote viewing profitable for our 17 00:01:19,800 --> 00:01:16,780 company for remote viewing companies and 18 00:01:22,950 --> 00:01:19,810 for the clients because reviewing takes 19 00:01:28,050 --> 00:01:22,960 time project takes projects take time 20 00:01:34,770 --> 00:01:28,060 and like for any emerging technology you 21 00:01:42,120 --> 00:01:34,780 have to have tools to enhance the 22 00:01:47,039 --> 00:01:42,130 performance of what what you do and the 23 00:01:50,370 --> 00:01:47,049 factors you can work on or of course 24 00:01:52,830 --> 00:01:50,380 quantity and quality quantity in remote 25 00:01:56,700 --> 00:01:52,840 viewing that means that you want more 26 00:01:59,910 --> 00:01:56,710 data in less time and when it comes with 27 00:02:03,359 --> 00:01:59,920 quality what you want is to improve the 28 00:02:07,800 --> 00:02:03,369 accuracy of the data and increase the 29 00:02:10,259 --> 00:02:07,810 exploit ability for the client so for 30 00:02:13,789 --> 00:02:10,269 home do you do we want to enhance 31 00:02:17,640 --> 00:02:13,799 performance for researchers of course 32 00:02:21,370 --> 00:02:17,650 for instructors and students when you 33 00:02:29,830 --> 00:02:21,380 give courses and for 34 00:02:32,230 --> 00:02:29,840 Consulting for both sides of the job you 35 00:02:34,030 --> 00:02:32,240 need to enhance performance for the 36 00:02:40,210 --> 00:02:34,040 providers that means the remote viewing 37 00:02:43,480 --> 00:02:40,220 teams and also for the clients to lower 38 00:02:46,810 --> 00:02:43,490 the cost for example to lower the delays 39 00:02:50,470 --> 00:02:46,820 so what I'm going to present you during 40 00:02:57,820 --> 00:02:50,480 the five next minutes or a few projects 41 00:03:00,070 --> 00:02:57,830 that we've done from 2007 to now this is 42 00:03:02,770 --> 00:03:00,080 our first project for a paying client 43 00:03:08,040 --> 00:03:02,780 this is called the atahuallpa project 44 00:03:10,500 --> 00:03:08,050 and this project was done in 2007 for 45 00:03:16,960 --> 00:03:10,510 professional treasure hunters and 46 00:03:20,200 --> 00:03:16,970 archaeologists in Latin America so you 47 00:03:22,180 --> 00:03:20,210 can see the project manager on the 48 00:03:24,880 --> 00:03:22,190 client side on the upper left of the 49 00:03:29,980 --> 00:03:24,890 screen and you can see the same guy in 50 00:03:34,210 --> 00:03:29,990 the forest and our task was for these 51 00:03:40,050 --> 00:03:34,220 people to help them to locate more 52 00:03:50,380 --> 00:03:40,060 precisely where the entrances of a cave 53 00:03:54,970 --> 00:03:50,390 or this cave should have inside the 54 00:03:57,910 --> 00:03:54,980 mummy of the last last Inka and also the 55 00:04:00,460 --> 00:03:57,920 the treasure of the Inka on the upper 56 00:04:03,580 --> 00:04:00,470 right of the picture you can see on the 57 00:04:06,910 --> 00:04:03,590 field what the area looks like and this 58 00:04:07,990 --> 00:04:06,920 is an example of one of our sketches we 59 00:04:12,550 --> 00:04:08,000 made for these people 60 00:04:14,080 --> 00:04:12,560 during our remote viewing project so 61 00:04:16,060 --> 00:04:14,090 this is treasure hunting 62 00:04:19,590 --> 00:04:16,070 we had three viewers for the these 63 00:04:24,660 --> 00:04:19,600 people on this project and our sessions 64 00:04:30,670 --> 00:04:24,670 in 2007 lasted one hour each session 65 00:04:34,210 --> 00:04:30,680 what we produced are 380 items and the 66 00:04:38,140 --> 00:04:34,220 total production time was that that 67 00:04:43,240 --> 00:04:38,150 I'm 17 9 days for this project and the 68 00:04:46,510 --> 00:04:43,250 analysis task alone took 11 Monday's the 69 00:04:49,900 --> 00:04:46,520 clients took the data and went to the 70 00:04:52,920 --> 00:04:49,910 field and after coming back to France 71 00:04:56,710 --> 00:04:52,930 they said ok this is an A+ project 72 00:05:00,580 --> 00:04:56,720 because this helped them to start 73 00:05:05,200 --> 00:05:00,590 locating more closer the entrances these 74 00:05:07,090 --> 00:05:05,210 people in 2011 have to go back there one 75 00:05:12,550 --> 00:05:07,100 more time they've been on this project 76 00:05:14,380 --> 00:05:12,560 for 10 years now zoom in ok this is 77 00:05:17,650 --> 00:05:14,390 another example of one of our project 78 00:05:21,510 --> 00:05:17,660 this was one year later this is that 79 00:05:26,680 --> 00:05:21,520 means in 2008 late thousand eight early 80 00:05:28,600 --> 00:05:26,690 2009 this project was the first at least 81 00:05:31,000 --> 00:05:28,610 in France in Europe and maybe the world 82 00:05:38,350 --> 00:05:31,010 I don't know exactly but the first 83 00:05:40,030 --> 00:05:38,360 project ever fully funded by the Justice 84 00:05:43,810 --> 00:05:40,040 Department I don't know I would say that 85 00:05:45,909 --> 00:05:43,820 in English but in France so everything 86 00:05:48,580 --> 00:05:45,919 was fully official we got funded by the 87 00:05:51,790 --> 00:05:48,590 government and we got an appointment 88 00:05:55,230 --> 00:05:51,800 from a judge and Irish today is a 89 00:05:58,360 --> 00:05:55,240 professional witness and we work for 90 00:06:00,520 --> 00:05:58,370 police department so far we've done four 91 00:06:04,380 --> 00:06:00,530 project for police departments but for 92 00:06:09,010 --> 00:06:04,390 this project it was for a Supreme Court 93 00:06:12,490 --> 00:06:09,020 in France of course and it was about 94 00:06:14,920 --> 00:06:12,500 criminal case our task was to give more 95 00:06:17,290 --> 00:06:14,930 information more data to the police 96 00:06:21,159 --> 00:06:17,300 about the victims 97 00:06:24,060 --> 00:06:21,169 Weedon we work blind okay every time 98 00:06:27,370 --> 00:06:24,070 about blind this is remote viewing and 99 00:06:31,050 --> 00:06:27,380 all we knew all I knew as a project 100 00:06:39,960 --> 00:06:31,060 manager is that what the police wanted 101 00:06:47,830 --> 00:06:43,689 the viewers of course as Connie Brown 102 00:06:50,340 --> 00:06:47,840 said the viewers never know what the 103 00:06:53,320 --> 00:06:50,350 target is they don't have the question 104 00:06:55,390 --> 00:06:53,330 they don't have the task so on this 105 00:06:58,810 --> 00:06:55,400 project we had five viewers and the 106 00:07:04,750 --> 00:06:58,820 session were one hour long and we 107 00:07:07,360 --> 00:07:04,760 produced twenty two hundred items so we 108 00:07:11,050 --> 00:07:07,370 got really high in the production of the 109 00:07:12,940 --> 00:07:11,060 data compared to 2007 and the total 110 00:07:15,700 --> 00:07:12,950 production time on this project was 111 00:07:19,390 --> 00:07:15,710 twenty four nine days and the analysis 112 00:07:26,050 --> 00:07:19,400 tasks were was 39 days client evaluation 113 00:07:31,300 --> 00:07:26,060 a six-month about four five six months 114 00:07:34,120 --> 00:07:31,310 ago and moving forward in time we did a 115 00:07:38,830 --> 00:07:34,130 real estate project for an individual 116 00:07:42,940 --> 00:07:38,840 with private client and for this project 117 00:07:44,830 --> 00:07:42,950 we had three stages three phases because 118 00:07:47,830 --> 00:07:44,840 we wanted to zoom in and different for 119 00:07:48,450 --> 00:07:47,840 different aspects of the target of the 120 00:07:51,969 --> 00:07:48,460 task 121 00:07:56,620 --> 00:07:51,979 so as we produced we were producing more 122 00:07:58,900 --> 00:07:56,630 and more data each year we we found that 123 00:08:01,120 --> 00:07:58,910 it was more interesting for us and the 124 00:08:05,770 --> 00:08:01,130 client when it comes to the 125 00:08:09,490 --> 00:08:05,780 profitability that we could lower you 126 00:08:13,540 --> 00:08:09,500 know reduce the duration of the session 127 00:08:16,420 --> 00:08:13,550 still so now we work we have we worked 128 00:08:17,860 --> 00:08:16,430 with 45 minute sessions in that project 129 00:08:20,560 --> 00:08:17,870 will produce seventeen hundred and 130 00:08:24,640 --> 00:08:20,570 seventy items and the total production 131 00:08:27,850 --> 00:08:24,650 time went to ten Monday's for the 132 00:08:31,210 --> 00:08:27,860 project and for the analysis we had 5.5 133 00:08:33,790 --> 00:08:31,220 Monday's of workload and so far the 134 00:08:36,640 --> 00:08:33,800 client evolution is B+ we are still 135 00:08:39,880 --> 00:08:36,650 waiting for more evolution because on 136 00:08:45,400 --> 00:08:39,890 this project the target is located in 137 00:08:49,060 --> 00:08:45,410 time in 2013 here's another example of 138 00:08:53,620 --> 00:08:49,070 project our task was to describe the 139 00:09:00,730 --> 00:08:53,630 future logo of a company this is like a 140 00:09:06,660 --> 00:09:00,740 creative or innovation project on this 141 00:09:13,510 --> 00:09:11,260 we had a viewer and the session is very 142 00:09:18,550 --> 00:09:13,520 short in 30 minutes we can do the job 143 00:09:21,610 --> 00:09:18,560 and we produce 145 items total 144 00:09:25,300 --> 00:09:21,620 production time one day that means eight 145 00:09:31,180 --> 00:09:25,310 hours analysis tasks four hours client 146 00:09:34,540 --> 00:09:31,190 evaluation a plus so how do you how do 147 00:09:38,220 --> 00:09:34,550 we do this how do we get more and more 148 00:09:40,510 --> 00:09:38,230 data in less and less time first 149 00:09:44,020 --> 00:09:40,520 professionalization it's like in any 150 00:09:46,480 --> 00:09:44,030 kind of work any kind of job what you 151 00:09:49,329 --> 00:09:46,490 need is to train you people and of 152 00:09:54,190 --> 00:09:49,339 course as any standard normal company 153 00:09:57,010 --> 00:09:54,200 you need to have offices to you know get 154 00:09:59,440 --> 00:09:57,020 clients to come to you and talk and do 155 00:10:04,050 --> 00:09:59,450 the project so in Paris we have an 156 00:10:07,180 --> 00:10:04,060 office of 70 square meters 157 00:10:10,660 --> 00:10:07,190 industrialization that means you need to 158 00:10:13,720 --> 00:10:10,670 standardize your process and developed 159 00:10:16,500 --> 00:10:13,730 prediction tools that means developed 160 00:10:22,210 --> 00:10:20,199 here's a quick view of the production 161 00:10:26,710 --> 00:10:22,220 process of a remote viewing project for 162 00:10:29,770 --> 00:10:26,720 clients as you can see the remote 163 00:10:32,800 --> 00:10:29,780 viewing session sessions by themselves 164 00:10:37,680 --> 00:10:32,810 are only a little part of the of the 165 00:10:42,850 --> 00:10:37,690 work the biggest amount of workload is 166 00:10:48,579 --> 00:10:42,860 done during the analysis tasks it's 167 00:10:52,780 --> 00:10:48,589 about 60% so our software is called ikat 168 00:10:55,630 --> 00:10:52,790 and as for any analysis consensus 169 00:10:59,230 --> 00:10:55,640 analysis you have three different steps 170 00:11:01,780 --> 00:10:59,240 to break down when you define the the 171 00:11:05,040 --> 00:11:01,790 items when you take the transcripts and 172 00:11:07,570 --> 00:11:05,050 you break down their items the 173 00:11:10,450 --> 00:11:07,580 the second step is when you assess 174 00:11:12,940 --> 00:11:10,460 categories and subcategories you set up 175 00:11:17,440 --> 00:11:12,950 a matrix when you want to store you want 176 00:11:19,570 --> 00:11:17,450 to sort and the data so you're assigned 177 00:11:21,880 --> 00:11:19,580 data two categories you sort and then 178 00:11:25,210 --> 00:11:21,890 you cross-reference it's the consensus 179 00:11:28,330 --> 00:11:25,220 protocol like what Stephen Schwartz used 180 00:11:31,600 --> 00:11:28,340 to do with the möbius group in the 181 00:11:34,960 --> 00:11:31,610 seventies and eighties so this is a 182 00:11:37,900 --> 00:11:34,970 screenshot screenshot of our software 183 00:11:41,290 --> 00:11:37,910 piece of software you can see in this 184 00:11:45,970 --> 00:11:41,300 project you have four viewers and you 185 00:11:51,490 --> 00:11:45,980 have the transcript here each color 186 00:11:56,950 --> 00:11:51,500 comes with a categories you have the 187 00:11:59,440 --> 00:11:56,960 items here screenshot for the step step 188 00:12:00,730 --> 00:11:59,450 two you have the matrix categories of 189 00:12:03,520 --> 00:12:00,740 the matrix and the metrics for the 190 00:12:06,160 --> 00:12:03,530 categories and you have the items which 191 00:12:10,540 --> 00:12:06,170 are associated with this category and 192 00:12:13,030 --> 00:12:10,550 this is the another screenshot when you 193 00:12:14,650 --> 00:12:13,040 can see when you have four here for 194 00:12:17,350 --> 00:12:14,660 example you have a consensus you have 195 00:12:20,770 --> 00:12:17,360 another consensus here you cross-check 196 00:12:25,960 --> 00:12:20,780 the items oops 197 00:12:30,010 --> 00:12:25,970 okay so here are some statistics about 198 00:12:36,070 --> 00:12:30,020 the work so we started in 2007 and now 199 00:12:41,079 --> 00:12:36,080 we were in June 2011 so during that time 200 00:12:48,300 --> 00:12:41,089 we divided by 4.6 the workload for the 201 00:12:54,160 --> 00:12:48,310 analysis by viewer per viewer for any 202 00:13:01,090 --> 00:12:54,170 block for any lot of 100 data we divided 203 00:13:07,030 --> 00:13:01,100 the workload by 16.7 and for a total 204 00:13:16,400 --> 00:13:07,040 workload on a project for 100 items we 205 00:13:25,250 --> 00:13:21,930 what we had when it comes with the 206 00:13:29,610 --> 00:13:25,260 production of items the production of 207 00:13:34,530 --> 00:13:29,620 remote viewing data is that we found out 208 00:13:38,280 --> 00:13:34,540 that the years going by we produce more 209 00:13:41,850 --> 00:13:38,290 and more data but per viewer our that 210 00:13:46,710 --> 00:13:41,860 means that for an hour session we were 211 00:13:50,430 --> 00:13:46,720 producing more and more data this means 212 00:13:54,600 --> 00:13:50,440 that the remote viewing system the whole 213 00:13:57,900 --> 00:13:54,610 system of the room the whole system set 214 00:14:00,870 --> 00:13:57,910 up by the remote viewing team reacts to 215 00:14:04,260 --> 00:14:00,880 the evolution of computing tools at each 216 00:14:06,540 --> 00:14:04,270 hour each session we got more and more 217 00:14:13,530 --> 00:14:06,550 and more data during the full last years 218 00:14:16,880 --> 00:14:13,540 even if the viewers were not conscious 219 00:14:19,290 --> 00:14:16,890 of what we were doing about developing a 220 00:14:23,970 --> 00:14:19,300 subtle piece of software for the 221 00:14:26,460 --> 00:14:23,980 analysis so the whole system the whole 222 00:14:31,500 --> 00:14:26,470 team reacts to the evolution of the 223 00:14:34,350 --> 00:14:31,510 software so this is just for you to see 224 00:14:37,380 --> 00:14:34,360 to have a quick look on how many 225 00:14:40,640 --> 00:14:37,390 projects we've done so far and this is 226 00:14:44,640 --> 00:14:40,650 because we have this piece of software 227 00:14:48,210 --> 00:14:44,650 helping us to do the analysis we started 228 00:14:51,690 --> 00:14:48,220 in 2007 with one project and so far this 229 00:14:56,780 --> 00:14:51,700 during 5 months we did 12 projects for 230 00:15:03,120 --> 00:15:00,060 okay so this is about the quantity what 231 00:15:07,440 --> 00:15:03,130 about the quality the accuracy of 232 00:15:13,110 --> 00:15:07,450 information of the data we had a small 233 00:15:17,220 --> 00:15:13,120 raise from 2007 to 2010 and now we have 234 00:15:18,360 --> 00:15:17,230 high stabilization since then and what 235 00:15:22,230 --> 00:15:18,370 about the value for money 236 00:15:26,550 --> 00:15:22,240 excellent since 2010 that's what the 237 00:15:29,160 --> 00:15:26,560 customers tell us conclusion remote 238 00:15:31,889 --> 00:15:29,170 viewing what we have found out and that 239 00:15:34,829 --> 00:15:31,899 daily job is a profitable human 240 00:15:37,980 --> 00:15:34,839 technology with great value at low-cost 241 00:15:39,990 --> 00:15:37,990 and quick turnaround its profitable for 242 00:15:43,040 --> 00:15:40,000 the provider and for the clients 243 00:15:46,740 --> 00:15:43,050 so that means it is accessible to most 244 00:15:50,759 --> 00:15:46,750 today for each project we do we earn 245 00:15:58,120 --> 00:15:50,769 money and we gave valuable data to our 246 00:15:58,130 --> 00:16:07,370 [Applause] 247 00:16:16,490 --> 00:16:12,180 are your viewers blind to the total 248 00:16:22,740 --> 00:16:16,500 nature of the project yes they are also 249 00:16:26,660 --> 00:16:22,750 how many targets per project okay there 250 00:16:33,329 --> 00:16:26,670 is one target but the target can be 251 00:16:36,300 --> 00:16:33,339 quite it's like in the target we can 252 00:16:39,900 --> 00:16:36,310 have several questions okay and these 253 00:16:42,180 --> 00:16:39,910 questions can be quite different it 254 00:16:45,240 --> 00:16:42,190 depends on the project when the question 255 00:16:50,310 --> 00:16:45,250 when the task is too complex or when the 256 00:16:54,810 --> 00:16:50,320 client want huge amount of data dealing 257 00:17:01,880 --> 00:16:54,820 with different aspect of a target then 258 00:17:10,710 --> 00:17:06,090 so so if a viewer works multiple 259 00:17:14,299 --> 00:17:10,720 sessions is that viewer one viewer does 260 00:17:21,030 --> 00:17:18,240 one viewer one session one project when 261 00:17:25,260 --> 00:17:21,040 you when we have let's say a project 262 00:17:28,049 --> 00:17:25,270 with three viewers each viewer does a 263 00:17:32,120 --> 00:17:28,059 single session a 45-minute session or a 264 00:17:35,640 --> 00:17:32,130 30-minute session I understand thank you 265 00:17:39,299 --> 00:17:35,650 in each session every sessions for 266 00:17:41,560 --> 00:17:39,309 example every session is independent 267 00:17:45,070 --> 00:17:41,570 from the others 268 00:17:49,990 --> 00:17:45,080 we're blind thank you very much brings 269 00:17:52,120 --> 00:17:50,000 back some memories we had wrestled with 270 00:17:54,040 --> 00:17:52,130 this a lot and hunted for our ties day 271 00:17:55,720 --> 00:17:54,050 to figure in merits and stuff like that 272 00:17:57,100 --> 00:17:55,730 I don't want to get into that here maybe 273 00:18:00,490 --> 00:17:57,110 you and I should talk later 274 00:18:03,040 --> 00:18:00,500 no but I do have a general question we 275 00:18:05,440 --> 00:18:03,050 ran into and using multiple viewers on 276 00:18:09,640 --> 00:18:05,450 one task and then sooner or later you 277 00:18:12,240 --> 00:18:09,650 have to prioritize the some data that 278 00:18:15,400 --> 00:18:12,250 will ultimately be better than others 279 00:18:17,380 --> 00:18:15,410 who actually identifies that do you dump 280 00:18:19,360 --> 00:18:17,390 everything over to the client or do you 281 00:18:22,900 --> 00:18:19,370 do any prioritizing before you even give 282 00:18:27,130 --> 00:18:22,910 it to the client the whole what we call 283 00:18:32,460 --> 00:18:27,140 the analyst Pro the analysis process we 284 00:18:36,550 --> 00:18:32,470 have one or two analysts which work on 285 00:18:41,620 --> 00:18:36,560 the whole amount of data and we process 286 00:18:45,190 --> 00:18:41,630 the data to make sure that we give the 287 00:18:51,940 --> 00:18:45,200 clients the best view to this data and 288 00:18:55,540 --> 00:18:51,950 we cross-reference everything and we we 289 00:18:58,060 --> 00:18:55,550 write everything in proper French for 290 00:19:01,240 --> 00:18:58,070 example so that the clients can 291 00:19:07,150 --> 00:19:01,250 understand more easily what we did what 292 00:19:11,620 --> 00:19:07,160 we do and we show the clients in a 293 00:19:16,680 --> 00:19:11,630 report a fully detailed report what we 294 00:19:21,070 --> 00:19:16,690 think are good data intuitive data or 295 00:19:25,480 --> 00:19:21,080 aol's for example I don't know if I am 296 00:19:27,700 --> 00:19:25,490 answering your question here I really 297 00:19:29,650 --> 00:19:27,710 like what you're doing the one thing I 298 00:19:31,330 --> 00:19:29,660 would question is whether or not you can 299 00:19:35,430 --> 00:19:31,340 really attribute your improving results 300 00:19:40,000 --> 00:19:35,440 to this software because so much of 301 00:19:42,120 --> 00:19:40,010 getting a good rating from your client 302 00:19:44,890 --> 00:19:42,130 has to do with the project manager and 303 00:19:48,130 --> 00:19:44,900 how good a job you do figuring out which 304 00:19:50,340 --> 00:19:48,140 remote viewer to assign what task what 305 00:19:53,170 --> 00:19:50,350 particulars 306 00:19:55,420 --> 00:19:53,180 so there's a lot of different factors 307 00:19:57,220 --> 00:19:55,430 involved as you yeah 308 00:19:59,980 --> 00:19:57,230 this is just an example I'm just saying 309 00:20:03,660 --> 00:19:59,990 that the software may be an irrelevant 310 00:20:06,640 --> 00:20:03,670 factor right not to your success you're 311 00:20:08,680 --> 00:20:06,650 telling us that but I am saying it seems 312 00:20:11,380 --> 00:20:08,690 to me from my experience with remote 313 00:20:13,300 --> 00:20:11,390 viewing there's a lot of other simple 314 00:20:15,790 --> 00:20:13,310 factors it could be influencing your 315 00:20:18,970 --> 00:20:15,800 success rates besides just a software 316 00:20:21,400 --> 00:20:18,980 run of which is your project manager how 317 00:20:24,910 --> 00:20:21,410 good you are at asking the right 318 00:20:29,170 --> 00:20:24,920 question to the right now sure but every 319 00:20:36,670 --> 00:20:29,180 step of the project is important and but 320 00:20:39,940 --> 00:20:36,680 where you can when you can improve very 321 00:20:43,930 --> 00:20:39,950 highly when you can most improve the 322 00:20:47,050 --> 00:20:43,940 process is when you try when you want to 323 00:20:50,590 --> 00:20:47,060 industrialize the analysis tasks because 324 00:20:52,540 --> 00:20:50,600 analysis takes a very long time so 325 00:20:57,090 --> 00:20:52,550 that's when you want you want to start 326 00:20:59,500 --> 00:20:57,100 but at each step of the project we did 327 00:21:02,140 --> 00:20:59,510 something here's something there you 328 00:21:06,760 --> 00:21:02,150 know to improve the whole system the 329 00:21:09,190 --> 00:21:06,770 whole product the whole process okay I 330 00:21:11,080 --> 00:21:09,200 was gonna ask the same question but I 331 00:21:13,180 --> 00:21:11,090 continued questions I'll have you 332 00:21:15,160 --> 00:21:13,190 thought about doing Bayesian backwards 333 00:21:18,220 --> 00:21:15,170 inference to your Debian dependent 334 00:21:21,250 --> 00:21:18,230 variables so you could you haven't well 335 00:21:23,790 --> 00:21:21,260 let's talk about that later okay