WEBVTT #Elemental Media Engine(TM) 2.17.0.603419 00:00:01.334 --> 00:00:02.602 THEN 00:00:02.602 --> 00:00:02.936 THEN MORE 00:00:02.936 --> 00:00:03.336 THEN MORE DEATHS 00:00:03.336 --> 00:00:03.870 THEN MORE DEATHS THE 00:00:03.870 --> 00:00:03.903 THEN MORE DEATHS THE DEAN 00:00:03.903 --> 00:00:04.104 THEN MORE DEATHS THE DEAN OF 00:00:04.104 --> 00:00:04.237 THEN MORE DEATHS THE DEAN OF THE 00:00:04.237 --> 00:00:04.637 THEN MORE DEATHS THE DEAN OF THE BROWN 00:00:04.637 --> 00:00:04.671 THEN MORE DEATHS THE DEAN OF THE BROWN UNIVERSITY 00:00:04.671 --> 00:00:04.838 THE DEAN OF THE BROWN UNIVERSITY 00:00:04.838 --> 00:00:05.105 THE DEAN OF THE BROWN UNIVERSITY SCHOOL 00:00:05.105 --> 00:00:05.505 THE DEAN OF THE BROWN UNIVERSITY SCHOOL OF 00:00:05.505 --> 00:00:05.839 THE DEAN OF THE BROWN UNIVERSITY SCHOOL OF PUBLIC 00:00:05.839 --> 00:00:06.172 THE DEAN OF THE BROWN UNIVERSITY SCHOOL OF PUBLIC HEALTH, 00:00:06.172 --> 00:00:06.206 THE DEAN OF THE BROWN UNIVERSITY SCHOOL OF PUBLIC HEALTH, DOCTOR, 00:00:06.206 --> 00:00:06.306 SCHOOL OF PUBLIC HEALTH, DOCTOR, 00:00:06.306 --> 00:00:06.606 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW 00:00:06.606 --> 00:00:07.073 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW BAD 00:00:07.073 --> 00:00:07.474 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW BAD IS 00:00:07.474 --> 00:00:07.540 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW BAD IS THIS, 00:00:07.540 --> 00:00:08.141 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW BAD IS THIS, ARE 00:00:08.141 --> 00:00:08.174 SCHOOL OF PUBLIC HEALTH, DOCTOR, HOW BAD IS THIS, ARE YOU 00:00:08.174 --> 00:00:08.375 HOW BAD IS THIS, ARE YOU 00:00:08.375 --> 00:00:08.908 HOW BAD IS THIS, ARE YOU EXPECTING 00:00:08.908 --> 00:00:09.142 HOW BAD IS THIS, ARE YOU EXPECTING DAILY 00:00:09.142 --> 00:00:09.376 HOW BAD IS THIS, ARE YOU EXPECTING DAILY DEATHS 00:00:09.376 --> 00:00:09.542 HOW BAD IS THIS, ARE YOU EXPECTING DAILY DEATHS TO 00:00:09.542 --> 00:00:09.743 EXPECTING DAILY DEATHS TO 00:00:09.743 --> 00:00:09.776 EXPECTING DAILY DEATHS TO CONTINUE 00:00:09.776 --> 00:00:10.043 EXPECTING DAILY DEATHS TO CONTINUE TO 00:00:10.043 --> 00:00:10.243 EXPECTING DAILY DEATHS TO CONTINUE TO RISE 00:00:10.243 --> 00:00:10.610 EXPECTING DAILY DEATHS TO CONTINUE TO RISE AS 00:00:10.610 --> 00:00:15.315 EXPECTING DAILY DEATHS TO CONTINUE TO RISE AS OUR 00:00:15.315 --> 00:00:15.348 EXPECTING DAILY DEATHS TO CONTINUE TO RISE AS OUR DATA 00:00:15.348 --> 00:00:15.548 CONTINUE TO RISE AS OUR DATA 00:00:15.548 --> 00:00:15.648 CONTINUE TO RISE AS OUR DATA INDICATES 00:00:15.648 --> 00:00:15.749 CONTINUE TO RISE AS OUR DATA INDICATES THEY 00:00:15.749 --> 00:00:15.782 CONTINUE TO RISE AS OUR DATA INDICATES THEY WILL? 00:00:15.782 --> 00:00:15.849 INDICATES THEY WILL? 00:00:15.849 --> 00:00:15.915 INDICATES THEY WILL? . 00:00:15.915 --> 00:00:16.016 . 00:00:16.016 --> 00:00:16.049 . >> 00:00:16.049 --> 00:00:16.149 . >> SO 00:00:16.149 --> 00:00:16.216 . >> SO THANK 00:00:16.216 --> 00:00:16.282 . >> SO THANK YOU 00:00:16.282 --> 00:00:16.616 . >> SO THANK YOU FOR 00:00:16.616 --> 00:00:17.017 . >> SO THANK YOU FOR HAVING 00:00:17.017 --> 00:00:17.183 . >> SO THANK YOU FOR HAVING ME 00:00:17.183 --> 00:00:17.417 >> SO THANK YOU FOR HAVING ME 00:00:17.417 --> 00:00:17.450 >> SO THANK YOU FOR HAVING ME ON 00:00:17.450 --> 00:00:17.717 ON 00:00:17.717 --> 00:00:17.751 ON UNFORTUNATELY 00:00:17.751 --> 00:00:18.351 ON UNFORTUNATELY I 00:00:18.351 --> 00:00:18.385 ON UNFORTUNATELY I AM 00:00:18.385 --> 00:00:18.451 UNFORTUNATELY I AM 00:00:18.451 --> 00:00:18.551 UNFORTUNATELY I AM I 00:00:18.551 --> 00:00:18.752 UNFORTUNATELY I AM I THINK 00:00:18.752 --> 00:00:19.119 UNFORTUNATELY I AM I THINK THE 00:00:19.119 --> 00:00:19.419 UNFORTUNATELY I AM I THINK THE HORRIBLE 00:00:19.419 --> 00:00:19.452 UNFORTUNATELY I AM I THINK THE HORRIBLE DEATH 00:00:19.452 --> 00:00:19.619 I THINK THE HORRIBLE DEATH 00:00:19.619 --> 00:00:19.819 I THINK THE HORRIBLE DEATH NUMBERS 00:00:19.819 --> 00:00:20.220 I THINK THE HORRIBLE DEATH NUMBERS WE'RE 00:00:20.220 --> 00:00:20.420 I THINK THE HORRIBLE DEATH NUMBERS WE'RE SEEING 00:00:20.420 --> 00:00:20.553 I THINK THE HORRIBLE DEATH NUMBERS WE'RE SEEING NOW, 00:00:20.553 --> 00:00:20.620 I THINK THE HORRIBLE DEATH NUMBERS WE'RE SEEING NOW, THEY 00:00:20.620 --> 00:00:20.720 NUMBERS WE'RE SEEING NOW, THEY 00:00:20.720 --> 00:00:21.187 NUMBERS WE'RE SEEING NOW, THEY ARE 00:00:21.187 --> 00:00:21.621 NUMBERS WE'RE SEEING NOW, THEY ARE GOING 00:00:21.621 --> 00:00:22.222 NUMBERS WE'RE SEEING NOW, THEY ARE GOING TO 00:00:22.222 --> 00:00:24.624 NUMBERS WE'RE SEEING NOW, THEY ARE GOING TO GET 00:00:24.624 --> 00:00:24.791 NUMBERS WE'RE SEEING NOW, THEY ARE GOING TO GET MEANINGFULLY 00:00:24.791 --> 00:00:25.091 ARE GOING TO GET MEANINGFULLY 00:00:25.091 --> 00:00:25.158 ARE GOING TO GET MEANINGFULLY WORSE 00:00:25.158 --> 00:00:25.458 ARE GOING TO GET MEANINGFULLY WORSE IN 00:00:25.458 --> 00:00:25.825 ARE GOING TO GET MEANINGFULLY WORSE IN THE 00:00:25.825 --> 00:00:26.259 ARE GOING TO GET MEANINGFULLY WORSE IN THE WEEKS 00:00:26.259 --> 00:00:26.292 ARE GOING TO GET MEANINGFULLY WORSE IN THE WEEKS AND 00:00:26.292 --> 00:00:26.559 WORSE IN THE WEEKS AND 00:00:26.559 --> 00:00:26.626 WORSE IN THE WEEKS AND UNFORTUNATELY 00:00:26.626 --> 00:00:26.726 WORSE IN THE WEEKS AND UNFORTUNATELY THE 00:00:26.726 --> 00:00:26.860 WORSE IN THE WEEKS AND UNFORTUNATELY THE NEXT 00:00:26.860 --> 00:00:27.327 WORSE IN THE WEEKS AND UNFORTUNATELY THE NEXT COUPLE 00:00:27.327 --> 00:00:27.360 WORSE IN THE WEEKS AND UNFORTUNATELY THE NEXT COUPLE OF 00:00:27.360 --> 00:00:27.594 UNFORTUNATELY THE NEXT COUPLE OF 00:00:27.594 --> 00:00:27.694 UNFORTUNATELY THE NEXT COUPLE OF MONTHS 00:00:27.694 --> 00:00:27.794 UNFORTUNATELY THE NEXT COUPLE OF MONTHS AHEAD. 00:00:27.794 --> 00:00:27.894 MONTHS AHEAD. 00:00:27.894 --> 00:00:28.028 MONTHS AHEAD. >> 00:00:28.028 --> 00:00:28.294 MONTHS AHEAD. >> HERE'S 00:00:28.294 --> 00:00:28.661 MONTHS AHEAD. >> HERE'S THE 00:00:28.661 --> 00:00:29.329 MONTHS AHEAD. >> HERE'S THE BIGGEST 00:00:29.329 --> 00:00:29.362 MONTHS AHEAD. >> HERE'S THE BIGGEST CONCERN, 00:00:29.362 --> 00:00:29.896 >> HERE'S THE BIGGEST CONCERN, 00:00:29.896 --> 00:00:30.330 >> HERE'S THE BIGGEST CONCERN, AS 00:00:30.330 --> 00:00:30.597 >> HERE'S THE BIGGEST CONCERN, AS DETAILED 00:00:30.597 --> 00:00:30.964 >> HERE'S THE BIGGEST CONCERN, AS DETAILED IN 00:00:30.964 --> 00:00:31.598 >> HERE'S THE BIGGEST CONCERN, AS DETAILED IN A 00:00:31.598 --> 00:00:31.731 >> HERE'S THE BIGGEST CONCERN, AS DETAILED IN A REPORT 00:00:31.731 --> 00:00:31.898 >> HERE'S THE BIGGEST CONCERN, AS DETAILED IN A REPORT TODAY 00:00:31.898 --> 00:00:32.032 AS DETAILED IN A REPORT TODAY 00:00:32.032 --> 00:00:33.199 AS DETAILED IN A REPORT TODAY FROM 00:00:33.199 --> 00:00:33.767 AS DETAILED IN A REPORT TODAY FROM ED 00:00:33.767 --> 00:00:33.800 AS DETAILED IN A REPORT TODAY FROM ED YONG 00:00:33.800 --> 00:00:33.867 AS DETAILED IN A REPORT TODAY FROM ED YONG IN 00:00:33.867 --> 00:00:34.801 AS DETAILED IN A REPORT TODAY FROM ED YONG IN THE 00:00:34.801 --> 00:00:34.834 AS DETAILED IN A REPORT TODAY FROM ED YONG IN THE ATLANTIC 00:00:34.834 --> 00:00:35.035 FROM ED YONG IN THE ATLANTIC 00:00:35.035 --> 00:00:35.135 FROM ED YONG IN THE ATLANTIC MAGAZINE, 00:00:35.135 --> 00:00:35.335 FROM ED YONG IN THE ATLANTIC MAGAZINE, WHEN 00:00:35.335 --> 00:00:36.102 FROM ED YONG IN THE ATLANTIC MAGAZINE, WHEN HOSPITALS 00:00:36.102 --> 00:00:36.136 FROM ED YONG IN THE ATLANTIC MAGAZINE, WHEN HOSPITALS ARE 00:00:36.136 --> 00:00:36.269 MAGAZINE, WHEN HOSPITALS ARE 00:00:36.269 --> 00:00:36.369 MAGAZINE, WHEN HOSPITALS ARE FULL, 00:00:36.369 --> 00:00:36.569 MAGAZINE, WHEN HOSPITALS ARE FULL, AND 00:00:36.569 --> 00:00:36.603 MAGAZINE, WHEN HOSPITALS ARE FULL, AND MANY 00:00:36.603 --> 00:00:36.870 MAGAZINE, WHEN HOSPITALS ARE FULL, AND MANY OF 00:00:36.870 --> 00:00:37.103 MAGAZINE, WHEN HOSPITALS ARE FULL, AND MANY OF THE 00:00:37.103 --> 00:00:37.137 MAGAZINE, WHEN HOSPITALS ARE FULL, AND MANY OF THE BEST 00:00:37.137 --> 00:00:37.337 FULL, AND MANY OF THE BEST 00:00:37.337 --> 00:00:37.370 FULL, AND MANY OF THE BEST PREPARED 00:00:37.370 --> 00:00:37.504 FULL, AND MANY OF THE BEST PREPARED IN 00:00:37.504 --> 00:00:37.737 FULL, AND MANY OF THE BEST PREPARED IN THE 00:00:37.737 --> 00:00:39.472 FULL, AND MANY OF THE BEST PREPARED IN THE NATION 00:00:39.472 --> 00:00:39.539 FULL, AND MANY OF THE BEST PREPARED IN THE NATION ARE 00:00:39.539 --> 00:00:39.672 FULL, AND MANY OF THE BEST PREPARED IN THE NATION ARE FULL 00:00:39.672 --> 00:00:39.773 PREPARED IN THE NATION ARE FULL 00:00:39.773 --> 00:00:39.906 PREPARED IN THE NATION ARE FULL OR 00:00:39.906 --> 00:00:40.006 PREPARED IN THE NATION ARE FULL OR GETTING 00:00:40.006 --> 00:00:40.173 PREPARED IN THE NATION ARE FULL OR GETTING THERE, 00:00:40.173 --> 00:00:40.240 PREPARED IN THE NATION ARE FULL OR GETTING THERE, PATIENTS 00:00:40.240 --> 00:00:40.373 PREPARED IN THE NATION ARE FULL OR GETTING THERE, PATIENTS WILL 00:00:40.373 --> 00:00:40.540 OR GETTING THERE, PATIENTS WILL 00:00:40.540 --> 00:00:40.807 OR GETTING THERE, PATIENTS WILL DIE 00:00:40.807 --> 00:00:40.874 OR GETTING THERE, PATIENTS WILL DIE WAITING 00:00:40.874 --> 00:00:41.374 OR GETTING THERE, PATIENTS WILL DIE WAITING TO 00:00:41.374 --> 00:00:41.708 OR GETTING THERE, PATIENTS WILL DIE WAITING TO GET 00:00:41.708 --> 00:00:41.741 OR GETTING THERE, PATIENTS WILL DIE WAITING TO GET IN. 00:00:41.741 --> 00:00:41.841 DIE WAITING TO GET IN. 00:00:41.841 --> 00:00:42.042 DIE WAITING TO GET IN. SO 00:00:42.042 --> 00:00:42.142 DIE WAITING TO GET IN. SO THEY'LL 00:00:42.142 --> 00:00:42.509 DIE WAITING TO GET IN. SO THEY'LL DIE 00:00:42.509 --> 00:00:42.675 DIE WAITING TO GET IN. SO THEY'LL DIE NOT 00:00:42.675 --> 00:00:42.809 DIE WAITING TO GET IN. SO THEY'LL DIE NOT JUST 00:00:42.809 --> 00:00:42.909 DIE WAITING TO GET IN. SO THEY'LL DIE NOT JUST BECAUSE 00:00:42.909 --> 00:00:43.009 SO THEY'LL DIE NOT JUST BECAUSE 00:00:43.009 --> 00:00:43.910 SO THEY'LL DIE NOT JUST BECAUSE OF 00:00:43.910 --> 00:00:44.244 SO THEY'LL DIE NOT JUST BECAUSE OF THE 00:00:44.244 --> 00:00:44.611 SO THEY'LL DIE NOT JUST BECAUSE OF THE VIRUS 00:00:44.611 --> 00:00:45.011 SO THEY'LL DIE NOT JUST BECAUSE OF THE VIRUS BUT 00:00:45.011 --> 00:00:46.880 SO THEY'LL DIE NOT JUST BECAUSE OF THE VIRUS BUT BECAUSE 00:00:46.880 --> 00:00:46.913 SO THEY'LL DIE NOT JUST BECAUSE OF THE VIRUS BUT BECAUSE THERE'S 00:00:46.913 --> 00:00:47.080 OF THE VIRUS BUT BECAUSE THERE'S 00:00:47.080 --> 00:00:47.147 OF THE VIRUS BUT BECAUSE THERE'S NOBODY 00:00:47.147 --> 00:00:47.180 OF THE VIRUS BUT BECAUSE THERE'S NOBODY AND 00:00:47.180 --> 00:00:47.280 OF THE VIRUS BUT BECAUSE THERE'S NOBODY AND NO 00:00:47.280 --> 00:00:47.347 OF THE VIRUS BUT BECAUSE THERE'S NOBODY AND NO PLACE 00:00:47.347 --> 00:00:47.414 OF THE VIRUS BUT BECAUSE THERE'S NOBODY AND NO PLACE TO 00:00:47.414 --> 00:00:47.480 OF THE VIRUS BUT BECAUSE THERE'S NOBODY AND NO PLACE TO HELP 00:00:47.480 --> 00:00:47.614 NOBODY AND NO PLACE TO HELP 00:00:47.614 --> 00:00:47.647 NOBODY AND NO PLACE TO HELP THEM 00:00:47.647 --> 00:00:47.747 THEM 00:00:47.747 --> 00:00:47.814 THEM IN 00:00:47.814 --> 00:00:49.382 THEM IN THAT 00:00:49.382 --> 00:00:51.418 THEM IN THAT SORT 00:00:51.418 --> 00:00:51.584 THEM IN THAT SORT OF 00:00:51.584 --> 00:00:51.618 THEM IN THAT SORT OF REALITY, 00:00:51.618 --> 00:00:51.851 IN THAT SORT OF REALITY, 00:00:51.851 --> 00:00:51.885 IN THAT SORT OF REALITY, WIDESPREAD 00:00:51.885 --> 00:00:52.185 IN THAT SORT OF REALITY, WIDESPREAD BE 00:00:52.185 --> 00:00:52.218 IN THAT SORT OF REALITY, WIDESPREAD BE PREVENTED? 00:00:52.218 --> 00:00:52.552 WIDESPREAD BE PREVENTED? 00:00:52.552 --> 00:00:52.619 WIDESPREAD BE PREVENTED? >> 00:00:52.619 --> 00:00:52.719 WIDESPREAD BE PREVENTED? >> THIS 00:00:52.719 --> 00:00:53.019 WIDESPREAD BE PREVENTED? >> THIS IS 00:00:53.019 --> 00:00:53.119 WIDESPREAD BE PREVENTED? >> THIS IS A 00:00:53.119 --> 00:00:53.753 WIDESPREAD BE PREVENTED? >> THIS IS A HUGE 00:00:53.753 --> 00:00:53.987 WIDESPREAD BE PREVENTED? >> THIS IS A HUGE ISSUE, 00:00:53.987 --> 00:00:54.454 WIDESPREAD BE PREVENTED? >> THIS IS A HUGE ISSUE, SHEP, 00:00:54.454 --> 00:00:54.487 WIDESPREAD BE PREVENTED? >> THIS IS A HUGE ISSUE, SHEP, I 00:00:54.487 --> 00:00:54.854 >> THIS IS A HUGE ISSUE, SHEP, I 00:00:54.854 --> 00:00:54.954 >> THIS IS A HUGE ISSUE, SHEP, I ALWAYS 00:00:54.954 --> 00:00:56.322 >> THIS IS A HUGE ISSUE, SHEP, I ALWAYS REMIND 00:00:56.322 --> 00:00:56.890 >> THIS IS A HUGE ISSUE, SHEP, I ALWAYS REMIND PEOPLE, 00:00:56.890 --> 00:00:57.057 >> THIS IS A HUGE ISSUE, SHEP, I ALWAYS REMIND PEOPLE, HOSPITALS 00:00:57.057 --> 00:00:57.223 ALWAYS REMIND PEOPLE, HOSPITALS 00:00:57.223 --> 00:00:57.490 ALWAYS REMIND PEOPLE, HOSPITALS EXISTED 00:00:57.490 --> 00:00:57.991 ALWAYS REMIND PEOPLE, HOSPITALS EXISTED BEFORE 00:00:57.991 --> 00:00:58.591 ALWAYS REMIND PEOPLE, HOSPITALS EXISTED BEFORE THE 00:00:58.591 --> 00:00:58.625 ALWAYS REMIND PEOPLE, HOSPITALS EXISTED BEFORE THE COVID 00:00:58.625 --> 00:00:58.825 EXISTED BEFORE THE COVID 00:00:58.825 --> 00:00:58.858 EXISTED BEFORE THE COVID PANDEMIC 00:00:58.858 --> 00:00:59.192 PANDEMIC 00:00:59.192 --> 00:00:59.692 PANDEMIC WE 00:00:59.692 --> 00:00:59.859 PANDEMIC WE NEED 00:00:59.859 --> 00:01:00.427 PANDEMIC WE NEED HOSPITALS 00:01:00.427 --> 00:01:00.593 PANDEMIC WE NEED HOSPITALS FOR 00:01:00.593 --> 00:01:02.228 PANDEMIC WE NEED HOSPITALS FOR LOTS 00:01:02.228 --> 00:01:02.395 PANDEMIC WE NEED HOSPITALS FOR LOTS OF 00:01:02.395 --> 00:01:02.529 WE NEED HOSPITALS FOR LOTS OF 00:01:02.529 --> 00:01:02.662 WE NEED HOSPITALS FOR LOTS OF OTHER 00:01:02.662 --> 00:01:02.729 WE NEED HOSPITALS FOR LOTS OF OTHER THINGS, 00:01:02.729 --> 00:01:02.829 WE NEED HOSPITALS FOR LOTS OF OTHER THINGS, AND 00:01:02.829 --> 00:01:02.996 WE NEED HOSPITALS FOR LOTS OF OTHER THINGS, AND WHEN 00:01:02.996 --> 00:01:03.029 WE NEED HOSPITALS FOR LOTS OF OTHER THINGS, AND WHEN HOSPITALS 00:01:03.029 --> 00:01:03.129 OTHER THINGS, AND WHEN HOSPITALS 00:01:03.129 --> 00:01:03.263 OTHER THINGS, AND WHEN HOSPITALS GET 00:01:03.263 --> 00:01:03.329 OTHER THINGS, AND WHEN HOSPITALS GET CROWDED 00:01:03.329 --> 00:01:03.696 OTHER THINGS, AND WHEN HOSPITALS GET CROWDED AND 00:01:03.696 --> 00:01:03.897 OTHER THINGS, AND WHEN HOSPITALS GET CROWDED AND OTHER 00:01:03.897 --> 00:01:03.930 OTHER THINGS, AND WHEN HOSPITALS GET CROWDED AND OTHER PEOPLE 00:01:03.930 --> 00:01:04.064 GET CROWDED AND OTHER PEOPLE 00:01:04.064 --> 00:01:05.698 GET CROWDED AND OTHER PEOPLE CAN'T 00:01:05.698 --> 00:01:05.799 GET CROWDED AND OTHER PEOPLE CAN'T GET 00:01:05.799 --> 00:01:05.865 GET CROWDED AND OTHER PEOPLE CAN'T GET CARE, 00:01:05.865 --> 00:01:05.999 GET CROWDED AND OTHER PEOPLE CAN'T GET CARE, IT 00:01:05.999 --> 00:01:06.032 GET CROWDED AND OTHER PEOPLE CAN'T GET CARE, IT BECOMES 00:01:06.032 --> 00:01:06.066 GET CROWDED AND OTHER PEOPLE CAN'T GET CARE, IT BECOMES A 00:01:06.066 --> 00:01:06.466 CAN'T GET CARE, IT BECOMES A 00:01:06.466 --> 00:01:06.666 CAN'T GET CARE, IT BECOMES A HUGE 00:01:06.666 --> 00:01:06.699 CAN'T GET CARE, IT BECOMES A HUGE PROBLEM 00:01:06.699 --> 00:01:06.833 HUGE PROBLEM 00:01:06.833 --> 00:01:07.767 HUGE PROBLEM THE 00:01:07.767 --> 00:01:07.901 HUGE PROBLEM THE BEST 00:01:07.901 --> 00:01:08.134 HUGE PROBLEM THE BEST WAY 00:01:08.134 --> 00:01:08.601 HUGE PROBLEM THE BEST WAY TO 00:01:08.601 --> 00:01:08.768 HUGE PROBLEM THE BEST WAY TO PREVENT 00:01:08.768 --> 00:01:09.102 THE BEST WAY TO PREVENT 00:01:09.102 --> 00:01:09.469 THE BEST WAY TO PREVENT HOSPITALIZATIONS 00:01:09.469 --> 00:01:09.969 THE BEST WAY TO PREVENT HOSPITALIZATIONS FROM 00:01:09.969 --> 00:01:10.470 THE BEST WAY TO PREVENT HOSPITALIZATIONS FROM COVID 00:01:10.470 --> 00:01:10.503 THE BEST WAY TO PREVENT HOSPITALIZATIONS FROM COVID IS 00:01:10.503 --> 00:01:10.670 HOSPITALIZATIONS FROM COVID IS 00:01:10.670 --> 00:01:10.737 HOSPITALIZATIONS FROM COVID IS PREVENT 00:01:10.737 --> 00:01:11.271 HOSPITALIZATIONS FROM COVID IS PREVENT THE 00:01:11.271 --> 00:01:11.471 HOSPITALIZATIONS FROM COVID IS PREVENT THE DISEASE 00:01:11.471 --> 00:01:11.504 HOSPITALIZATIONS FROM COVID IS PREVENT THE DISEASE ITSELF 00:01:11.504 --> 00:01:11.671 PREVENT THE DISEASE ITSELF 00:01:11.671 --> 00:01:11.805 PREVENT THE DISEASE ITSELF THERE'S 00:01:11.805 --> 00:01:11.971 PREVENT THE DISEASE ITSELF THERE'S A 00:01:11.971 --> 00:01:12.338 PREVENT THE DISEASE ITSELF THERE'S A LOT 00:01:12.338 --> 00:01:12.372 PREVENT THE DISEASE ITSELF THERE'S A LOT MORE 00:01:12.372 --> 00:01:12.439 PREVENT THE DISEASE ITSELF THERE'S A LOT MORE WE 00:01:12.439 --> 00:01:12.772 PREVENT THE DISEASE ITSELF THERE'S A LOT MORE WE CAN 00:01:12.772 --> 00:01:13.039 PREVENT THE DISEASE ITSELF THERE'S A LOT MORE WE CAN DO 00:01:13.039 --> 00:01:13.206 PREVENT THE DISEASE ITSELF THERE'S A LOT MORE WE CAN DO TO 00:01:13.206 --> 00:01:13.373 THERE'S A LOT MORE WE CAN DO TO 00:01:13.373 --> 00:01:13.506 THERE'S A LOT MORE WE CAN DO TO MANAGE 00:01:13.506 --> 00:01:13.807 THERE'S A LOT MORE WE CAN DO TO MANAGE THE 00:01:13.807 --> 00:01:14.007 THERE'S A LOT MORE WE CAN DO TO MANAGE THE CROWDING 00:01:14.007 --> 00:01:14.040 THERE'S A LOT MORE WE CAN DO TO MANAGE THE CROWDING THAT'S 00:01:14.040 --> 00:01:14.240 MANAGE THE CROWDING THAT'S 00:01:14.240 --> 00:01:14.374 MANAGE THE CROWDING THAT'S STARTING 00:01:14.374 --> 00:01:14.774 MANAGE THE CROWDING THAT'S STARTING TO 00:01:14.774 --> 00:01:14.808 MANAGE THE CROWDING THAT'S STARTING TO HAPPEN 00:01:14.808 --> 00:01:14.974 STARTING TO HAPPEN 00:01:14.974 --> 00:01:15.041 STARTING TO HAPPEN THERE'S 00:01:15.041 --> 00:01:16.142 STARTING TO HAPPEN THERE'S NO 00:01:16.142 --> 00:01:16.443 STARTING TO HAPPEN THERE'S NO DOUBT 00:01:16.443 --> 00:01:17.777 STARTING TO HAPPEN THERE'S NO DOUBT ABOUT 00:01:17.777 --> 00:01:17.811 STARTING TO HAPPEN THERE'S NO DOUBT ABOUT IT, 00:01:17.811 --> 00:01:18.011 THERE'S NO DOUBT ABOUT IT, 00:01:18.011 --> 00:01:18.078 THERE'S NO DOUBT ABOUT IT, CROWDING 00:01:18.078 --> 00:01:18.545 THERE'S NO DOUBT ABOUT IT, CROWDING IN 00:01:18.545 --> 00:01:18.778 THERE'S NO DOUBT ABOUT IT, CROWDING IN HOSPITALS 00:01:18.778 --> 00:01:19.312 THERE'S NO DOUBT ABOUT IT, CROWDING IN HOSPITALS LEADS 00:01:19.312 --> 00:01:19.345 THERE'S NO DOUBT ABOUT IT, CROWDING IN HOSPITALS LEADS TO 00:01:19.345 --> 00:01:19.712 CROWDING IN HOSPITALS LEADS TO 00:01:19.712 --> 00:01:20.146 CROWDING IN HOSPITALS LEADS TO HIGHER 00:01:20.146 --> 00:01:20.814 CROWDING IN HOSPITALS LEADS TO HIGHER FATALITY 00:01:20.814 --> 00:01:20.880 CROWDING IN HOSPITALS LEADS TO HIGHER FATALITY RATES 00:01:20.880 --> 00:01:21.314 CROWDING IN HOSPITALS LEADS TO HIGHER FATALITY RATES FOR 00:01:21.314 --> 00:01:21.548 HIGHER FATALITY RATES FOR 00:01:21.548 --> 00:01:21.581 HIGHER FATALITY RATES FOR EVERYBODY. 00:01:21.581 --> 00:01:21.681 EVERYBODY. 00:01:21.681 --> 00:01:21.748 EVERYBODY. >> 00:01:21.748 --> 00:01:21.915 EVERYBODY. >> I 00:01:21.915 --> 00:01:22.048 EVERYBODY. >> I ASK 00:01:22.048 --> 00:01:22.282 EVERYBODY. >> I ASK BECAUSE 00:01:22.282 --> 00:01:22.982 EVERYBODY. >> I ASK BECAUSE OF 00:01:22.982 --> 00:01:23.016 EVERYBODY. >> I ASK BECAUSE OF THINGS 00:01:23.016 --> 00:01:23.383 EVERYBODY. >> I ASK BECAUSE OF THINGS WE 00:01:23.383 --> 00:01:23.550 >> I ASK BECAUSE OF THINGS WE 00:01:23.550 --> 00:01:23.583 >> I ASK BECAUSE OF THINGS WE KNOW 00:01:23.583 --> 00:01:23.683 KNOW 00:01:23.683 --> 00:01:23.883 KNOW WE 00:01:23.883 --> 00:01:24.117 KNOW WE KNOW 00:01:24.117 --> 00:01:25.051 KNOW WE KNOW DEATHS 00:01:25.051 --> 00:01:25.085 KNOW WE KNOW DEATHS LAG 00:01:25.085 --> 00:01:25.418 WE KNOW DEATHS LAG 00:01:25.418 --> 00:01:25.685 WE KNOW DEATHS LAG HOSPITALIZATIONS, 00:01:25.685 --> 00:01:25.852 WE KNOW DEATHS LAG HOSPITALIZATIONS, AND 00:01:25.852 --> 00:01:26.186 HOSPITALIZATIONS, AND 00:01:26.186 --> 00:01:26.386 HOSPITALIZATIONS, AND HOSPITALIZATIONS 00:01:26.386 --> 00:01:26.853 HOSPITALIZATIONS, AND HOSPITALIZATIONS LAG 00:01:26.853 --> 00:01:26.886 HOSPITALIZATIONS, AND HOSPITALIZATIONS LAG CASES 00:01:26.886 --> 00:01:27.020 HOSPITALIZATIONS LAG CASES 00:01:27.020 --> 00:01:27.587 HOSPITALIZATIONS LAG CASES CASES 00:01:27.587 --> 00:01:27.921 HOSPITALIZATIONS LAG CASES CASES ARE 00:01:27.921 --> 00:01:28.054 HOSPITALIZATIONS LAG CASES CASES ARE EXPLODING 00:01:28.054 --> 00:01:28.188 HOSPITALIZATIONS LAG CASES CASES ARE EXPLODING AND 00:01:28.188 --> 00:01:28.288 HOSPITALIZATIONS LAG CASES CASES ARE EXPLODING AND HAVE 00:01:28.288 --> 00:01:28.421 CASES ARE EXPLODING AND HAVE 00:01:28.421 --> 00:01:29.022 CASES ARE EXPLODING AND HAVE BEEN 00:01:29.022 --> 00:01:29.422 CASES ARE EXPLODING AND HAVE BEEN FOR 00:01:29.422 --> 00:01:29.456 CASES ARE EXPLODING AND HAVE BEEN FOR WEEKS 00:01:29.456 --> 00:01:29.589 BEEN FOR WEEKS 00:01:29.589 --> 00:01:30.090 BEEN FOR WEEKS BASED 00:01:30.090 --> 00:01:30.590 BEEN FOR WEEKS BASED ON 00:01:30.590 --> 00:01:30.824 BEEN FOR WEEKS BASED ON TODAY'S 00:01:30.824 --> 00:01:30.890 BEEN FOR WEEKS BASED ON TODAY'S NUMBERS, 00:01:30.890 --> 00:01:30.990 BEEN FOR WEEKS BASED ON TODAY'S NUMBERS, TWO 00:01:30.990 --> 00:01:32.826 BASED ON TODAY'S NUMBERS, TWO 00:01:32.826 --> 00:01:32.926 BASED ON TODAY'S NUMBERS, TWO WEEKS 00:01:32.926 --> 00:01:32.992 BASED ON TODAY'S NUMBERS, TWO WEEKS FROM 00:01:32.992 --> 00:01:33.093 BASED ON TODAY'S NUMBERS, TWO WEEKS FROM NOW, 00:01:33.093 --> 00:01:33.259 BASED ON TODAY'S NUMBERS, TWO WEEKS FROM NOW, MORE 00:01:33.259 --> 00:01:33.293 BASED ON TODAY'S NUMBERS, TWO WEEKS FROM NOW, MORE HOSPITALS 00:01:33.293 --> 00:01:33.426 WEEKS FROM NOW, MORE HOSPITALS 00:01:33.426 --> 00:01:33.460 WEEKS FROM NOW, MORE HOSPITALS WILL 00:01:33.460 --> 00:01:34.794 WEEKS FROM NOW, MORE HOSPITALS WILL BE 00:01:34.794 --> 00:01:34.861 WEEKS FROM NOW, MORE HOSPITALS WILL BE FULL 00:01:34.861 --> 00:01:34.928 WEEKS FROM NOW, MORE HOSPITALS WILL BE FULL AND 00:01:34.928 --> 00:01:34.994 WEEKS FROM NOW, MORE HOSPITALS WILL BE FULL AND THE 00:01:34.994 --> 00:01:35.428 WEEKS FROM NOW, MORE HOSPITALS WILL BE FULL AND THE WEEK 00:01:35.428 --> 00:01:35.462 WEEKS FROM NOW, MORE HOSPITALS WILL BE FULL AND THE WEEK BEFORE 00:01:35.462 --> 00:01:35.695 WILL BE FULL AND THE WEEK BEFORE 00:01:35.695 --> 00:01:35.895 WILL BE FULL AND THE WEEK BEFORE CHRISTMAS, 00:01:35.895 --> 00:01:36.429 WILL BE FULL AND THE WEEK BEFORE CHRISTMAS, EVEN 00:01:36.429 --> 00:01:36.763 WILL BE FULL AND THE WEEK BEFORE CHRISTMAS, EVEN MORE 00:01:36.763 --> 00:01:37.363 WILL BE FULL AND THE WEEK BEFORE CHRISTMAS, EVEN MORE UNTIL 00:01:37.363 --> 00:01:37.397 WILL BE FULL AND THE WEEK BEFORE CHRISTMAS, EVEN MORE UNTIL THE 00:01:37.397 --> 00:01:37.564 CHRISTMAS, EVEN MORE UNTIL THE 00:01:37.564 --> 00:01:37.630 CHRISTMAS, EVEN MORE UNTIL THE HEALTH 00:01:37.630 --> 00:01:37.764 CHRISTMAS, EVEN MORE UNTIL THE HEALTH CARE 00:01:37.764 --> 00:01:37.997 CHRISTMAS, EVEN MORE UNTIL THE HEALTH CARE SYSTEM 00:01:37.997 --> 00:01:38.431 CHRISTMAS, EVEN MORE UNTIL THE HEALTH CARE SYSTEM EVENTUALLY 00:01:38.431 --> 00:01:38.665 HEALTH CARE SYSTEM EVENTUALLY 00:01:38.665 --> 00:01:38.698 HEALTH CARE SYSTEM EVENTUALLY COLLAPSES. 00:01:38.698 --> 00:01:38.832 COLLAPSES. 00:01:38.832 --> 00:01:38.932 COLLAPSES. WITH 00:01:38.932 --> 00:01:39.666 COLLAPSES. WITH THE 00:01:39.666 --> 00:01:39.899 COLLAPSES. WITH THE CASE 00:01:39.899 --> 00:01:40.100 COLLAPSES. WITH THE CASE NUMBERS 00:01:40.100 --> 00:01:40.166 COLLAPSES. WITH THE CASE NUMBERS LIKE 00:01:40.166 --> 00:01:40.433 COLLAPSES. WITH THE CASE NUMBERS LIKE THEY 00:01:40.433 --> 00:01:40.567 WITH THE CASE NUMBERS LIKE THEY 00:01:40.567 --> 00:01:40.934 WITH THE CASE NUMBERS LIKE THEY ARE, 00:01:40.934 --> 00:01:41.067 WITH THE CASE NUMBERS LIKE THEY ARE, YOU 00:01:41.067 --> 00:01:41.601 WITH THE CASE NUMBERS LIKE THEY ARE, YOU DO 00:01:41.601 --> 00:01:42.102 WITH THE CASE NUMBERS LIKE THEY ARE, YOU DO THE 00:01:42.102 --> 00:01:42.135 WITH THE CASE NUMBERS LIKE THEY ARE, YOU DO THE MATH 00:01:42.135 --> 00:01:42.235 ARE, YOU DO THE MATH 00:01:42.235 --> 00:01:43.136 ARE, YOU DO THE MATH IS 00:01:43.136 --> 00:01:43.770 ARE, YOU DO THE MATH IS THAT 00:01:43.770 --> 00:01:44.304 ARE, YOU DO THE MATH IS THAT INEVITABLE, 00:01:44.304 --> 00:01:44.337 ARE, YOU DO THE MATH IS THAT INEVITABLE, DOCTOR 00:01:44.337 --> 00:01:44.604 IS THAT INEVITABLE, DOCTOR 00:01:44.604 --> 00:01:44.737 IS THAT INEVITABLE, DOCTOR >> 00:01:44.737 --> 00:01:44.771 IS THAT INEVITABLE, DOCTOR >> WELL, 00:01:44.771 --> 00:01:44.871 IS THAT INEVITABLE, DOCTOR >> WELL, I 00:01:44.871 --> 00:01:45.238 IS THAT INEVITABLE, DOCTOR >> WELL, I WOULD 00:01:45.238 --> 00:01:45.371 IS THAT INEVITABLE, DOCTOR >> WELL, I WOULD SAY 00:01:45.371 --> 00:01:45.405 IS THAT INEVITABLE, DOCTOR >> WELL, I WOULD SAY BASED 00:01:45.405 --> 00:01:45.538 IS THAT INEVITABLE, DOCTOR >> WELL, I WOULD SAY BASED ON 00:01:45.538 --> 00:01:45.638 >> WELL, I WOULD SAY BASED ON 00:01:45.638 --> 00:01:46.206 >> WELL, I WOULD SAY BASED ON THE 00:01:46.206 --> 00:01:46.239 >> WELL, I WOULD SAY BASED ON THE INFECTIONS 00:01:46.239 --> 00:01:46.606 >> WELL, I WOULD SAY BASED ON THE INFECTIONS WE 00:01:46.606 --> 00:01:46.873 >> WELL, I WOULD SAY BASED ON THE INFECTIONS WE HAVE 00:01:46.873 --> 00:01:47.040 >> WELL, I WOULD SAY BASED ON THE INFECTIONS WE HAVE TODAY, 00:01:47.040 --> 00:01:48.074 THE INFECTIONS WE HAVE TODAY, 00:01:48.074 --> 00:01:48.408 THE INFECTIONS WE HAVE TODAY, WE'RE 00:01:48.408 --> 00:01:50.410 THE INFECTIONS WE HAVE TODAY, WE'RE GENERATING 00:01:50.410 --> 00:01:50.543 THE INFECTIONS WE HAVE TODAY, WE'RE GENERATING ALMOST 00:01:50.543 --> 00:01:50.643 THE INFECTIONS WE HAVE TODAY, WE'RE GENERATING ALMOST 200,000 00:01:50.643 --> 00:01:50.743 WE'RE GENERATING ALMOST 200,000 00:01:50.743 --> 00:01:52.645 WE'RE GENERATING ALMOST 200,000 NEW 00:01:52.645 --> 00:01:52.679 WE'RE GENERATING ALMOST 200,000 NEW INFECTIONS 00:01:52.679 --> 00:01:53.947 NEW INFECTIONS 00:01:53.947 --> 00:01:54.013 NEW INFECTIONS 2,000 00:01:54.013 --> 00:01:54.114 NEW INFECTIONS 2,000 TO 00:01:54.114 --> 00:01:54.214 NEW INFECTIONS 2,000 TO 2,500 00:01:54.214 --> 00:01:55.982 NEW INFECTIONS 2,000 TO 2,500 DEATHS 00:01:55.982 --> 00:01:56.049 NEW INFECTIONS 2,000 TO 2,500 DEATHS A 00:01:56.049 --> 00:01:56.182 NEW INFECTIONS 2,000 TO 2,500 DEATHS A DAY 00:01:56.182 --> 00:01:56.216 NEW INFECTIONS 2,000 TO 2,500 DEATHS A DAY IS 00:01:56.216 --> 00:01:56.349 2,000 TO 2,500 DEATHS A DAY IS 00:01:56.349 --> 00:01:56.449 2,000 TO 2,500 DEATHS A DAY IS BAKED 00:01:56.449 --> 00:01:56.516 2,000 TO 2,500 DEATHS A DAY IS BAKED INTO 00:01:56.516 --> 00:01:56.649 2,000 TO 2,500 DEATHS A DAY IS BAKED INTO THE 00:01:56.649 --> 00:01:56.683 2,000 TO 2,500 DEATHS A DAY IS BAKED INTO THE SYSTEM. 00:01:56.683 --> 00:01:56.816 BAKED INTO THE SYSTEM. 00:01:56.816 --> 00:01:56.850 BAKED INTO THE SYSTEM. THAT 00:01:56.850 --> 00:01:57.050 BAKED INTO THE SYSTEM. THAT IS 00:01:57.050 --> 00:01:57.183 BAKED INTO THE SYSTEM. THAT IS ALMOST 00:01:57.183 --> 00:01:57.283 BAKED INTO THE SYSTEM. THAT IS ALMOST SURELY 00:01:57.283 --> 00:01:58.184 BAKED INTO THE SYSTEM. THAT IS ALMOST SURELY GOING 00:01:58.184 --> 00:01:58.218 BAKED INTO THE SYSTEM. THAT IS ALMOST SURELY GOING TO 00:01:58.218 --> 00:01:58.384 THAT IS ALMOST SURELY GOING TO 00:01:58.384 --> 00:01:58.418 THAT IS ALMOST SURELY GOING TO HAPPEN 00:01:58.418 --> 00:01:58.885 HAPPEN 00:01:58.885 --> 00:01:59.385 HAPPEN THE 00:01:59.385 --> 00:01:59.552 HAPPEN THE BIG 00:01:59.552 --> 00:01:59.786 HAPPEN THE BIG QUESTION 00:01:59.786 --> 00:01:59.853 HAPPEN THE BIG QUESTION IS 00:01:59.853 --> 00:02:00.920 HAPPEN THE BIG QUESTION IS HOW 00:02:00.920 --> 00:02:00.954 HAPPEN THE BIG QUESTION IS HOW MUCH 00:02:00.954 --> 00:02:01.087 THE BIG QUESTION IS HOW MUCH 00:02:01.087 --> 00:02:01.421 THE BIG QUESTION IS HOW MUCH WORSE 00:02:01.421 --> 00:02:01.688 THE BIG QUESTION IS HOW MUCH WORSE ARE 00:02:01.688 --> 00:02:01.821 THE BIG QUESTION IS HOW MUCH WORSE ARE WE 00:02:01.821 --> 00:02:01.855 THE BIG QUESTION IS HOW MUCH WORSE ARE WE GOING 00:02:01.855 --> 00:02:01.921 THE BIG QUESTION IS HOW MUCH WORSE ARE WE GOING TO 00:02:01.921 --> 00:02:03.857 THE BIG QUESTION IS HOW MUCH WORSE ARE WE GOING TO BE 00:02:03.857 --> 00:02:04.023 THE BIG QUESTION IS HOW MUCH WORSE ARE WE GOING TO BE TOLL 00:02:04.023 --> 00:02:04.190 WORSE ARE WE GOING TO BE TOLL 00:02:04.190 --> 00:02:04.324 WORSE ARE WE GOING TO BE TOLL RATING, 00:02:04.324 --> 00:02:05.024 WORSE ARE WE GOING TO BE TOLL RATING, LETTING 00:02:05.024 --> 00:02:05.091 WORSE ARE WE GOING TO BE TOLL RATING, LETTING THIS 00:02:05.091 --> 00:02:05.325 WORSE ARE WE GOING TO BE TOLL RATING, LETTING THIS GO, 00:02:05.325 --> 00:02:05.358 WORSE ARE WE GOING TO BE TOLL RATING, LETTING THIS GO, AND 00:02:05.358 --> 00:02:05.525 RATING, LETTING THIS GO, AND 00:02:05.525 --> 00:02:05.825 RATING, LETTING THIS GO, AND THAT'S 00:02:05.825 --> 00:02:05.992 RATING, LETTING THIS GO, AND THAT'S WHAT 00:02:05.992 --> 00:02:06.226 RATING, LETTING THIS GO, AND THAT'S WHAT WE 00:02:06.226 --> 00:02:06.626 RATING, LETTING THIS GO, AND THAT'S WHAT WE NEED 00:02:06.626 --> 00:02:06.759 RATING, LETTING THIS GO, AND THAT'S WHAT WE NEED TO 00:02:06.759 --> 00:02:07.093 RATING, LETTING THIS GO, AND THAT'S WHAT WE NEED TO PREVENT, 00:02:07.093 --> 00:02:07.427 THAT'S WHAT WE NEED TO PREVENT, 00:02:07.427 --> 00:02:08.094 THAT'S WHAT WE NEED TO PREVENT, SHEP, 00:02:08.094 --> 00:02:08.328 THAT'S WHAT WE NEED TO PREVENT, SHEP, WE 00:02:08.328 --> 00:02:08.628 THAT'S WHAT WE NEED TO PREVENT, SHEP, WE NEED 00:02:08.628 --> 00:02:08.761 THAT'S WHAT WE NEED TO PREVENT, SHEP, WE NEED TO 00:02:08.761 --> 00:02:09.195 THAT'S WHAT WE NEED TO PREVENT, SHEP, WE NEED TO PREVENT 00:02:09.195 --> 00:02:09.229 THAT'S WHAT WE NEED TO PREVENT, SHEP, WE NEED TO PREVENT FURTHER 00:02:09.229 --> 00:02:09.429 SHEP, WE NEED TO PREVENT FURTHER 00:02:09.429 --> 00:02:11.364 SHEP, WE NEED TO PREVENT FURTHER INCREASES 00:02:11.364 --> 00:02:11.464 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN 00:02:11.464 --> 00:02:11.498 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN CASES 00:02:11.498 --> 00:02:11.564 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN CASES SO 00:02:11.564 --> 00:02:11.631 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN CASES SO WE 00:02:11.631 --> 00:02:11.698 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN CASES SO WE CAN 00:02:11.698 --> 00:02:11.731 SHEP, WE NEED TO PREVENT FURTHER INCREASES IN CASES SO WE CAN TOP 00:02:11.731 --> 00:02:11.831 INCREASES IN CASES SO WE CAN TOP 00:02:11.831 --> 00:02:11.898 INCREASES IN CASES SO WE CAN TOP OFF 00:02:11.898 --> 00:02:13.433 INCREASES IN CASES SO WE CAN TOP OFF AT 00:02:13.433 --> 00:02:13.566 INCREASES IN CASES SO WE CAN TOP OFF AT THOSE 00:02:13.566 --> 00:02:13.700 INCREASES IN CASES SO WE CAN TOP OFF AT THOSE HORRIBLE 00:02:13.700 --> 00:02:13.766 INCREASES IN CASES SO WE CAN TOP OFF AT THOSE HORRIBLE NUMBERS 00:02:13.766 --> 00:02:13.867 OFF AT THOSE HORRIBLE NUMBERS 00:02:13.867 --> 00:02:13.967 OFF AT THOSE HORRIBLE NUMBERS AND 00:02:13.967 --> 00:02:14.100 OFF AT THOSE HORRIBLE NUMBERS AND START 00:02:14.100 --> 00:02:14.200 OFF AT THOSE HORRIBLE NUMBERS AND START COMING 00:02:14.200 --> 00:02:14.234 OFF AT THOSE HORRIBLE NUMBERS AND START COMING DOWN. 00:02:14.234 --> 00:02:14.334 AND START COMING DOWN. 00:02:14.334 --> 00:02:14.701 AND START COMING DOWN. >> 00:02:14.701 --> 00:02:15.135 AND START COMING DOWN. >> ESPECIALLY 00:02:15.135 --> 00:02:15.468 AND START COMING DOWN. >> ESPECIALLY OVER 00:02:15.468 --> 00:02:15.502 AND START COMING DOWN. >> ESPECIALLY OVER THANKSGIVING. 00:02:15.502 --> 00:02:15.668 >> ESPECIALLY OVER THANKSGIVING. 00:02:15.668 --> 00:02:16.169 >> ESPECIALLY OVER THANKSGIVING. DOCTOR, 00:02:16.169 --> 00:02:16.302 >> ESPECIALLY OVER THANKSGIVING. DOCTOR, IN 00:02:16.302 --> 00:02:17.036 >> ESPECIALLY OVER THANKSGIVING. DOCTOR, IN JUNE, 00:02:17.036 --> 00:02:17.470 >> ESPECIALLY OVER THANKSGIVING. DOCTOR, IN JUNE, YOU 00:02:17.470 --> 00:02:17.504 >> ESPECIALLY OVER THANKSGIVING. DOCTOR, IN JUNE, YOU PREDICTED 00:02:17.504 --> 00:02:17.637 DOCTOR, IN JUNE, YOU PREDICTED 00:02:17.637 --> 00:02:17.804 DOCTOR, IN JUNE, YOU PREDICTED HERE 00:02:17.804 --> 00:02:17.904 DOCTOR, IN JUNE, YOU PREDICTED HERE THAT 00:02:17.904 --> 00:02:18.872 DOCTOR, IN JUNE, YOU PREDICTED HERE THAT MORE 00:02:18.872 --> 00:02:19.005 DOCTOR, IN JUNE, YOU PREDICTED HERE THAT MORE THAN 00:02:19.005 --> 00:02:19.105 DOCTOR, IN JUNE, YOU PREDICTED HERE THAT MORE THAN 200,000 00:02:19.105 --> 00:02:19.272 HERE THAT MORE THAN 200,000 00:02:19.272 --> 00:02:19.439 HERE THAT MORE THAN 200,000 PEOPLE 00:02:19.439 --> 00:02:19.706 HERE THAT MORE THAN 200,000 PEOPLE IN 00:02:19.706 --> 00:02:20.006 HERE THAT MORE THAN 200,000 PEOPLE IN AMERICA 00:02:20.006 --> 00:02:20.306 HERE THAT MORE THAN 200,000 PEOPLE IN AMERICA WOULD 00:02:20.306 --> 00:02:20.673 HERE THAT MORE THAN 200,000 PEOPLE IN AMERICA WOULD DIE 00:02:20.673 --> 00:02:20.707 HERE THAT MORE THAN 200,000 PEOPLE IN AMERICA WOULD DIE BY 00:02:20.707 --> 00:02:20.840 PEOPLE IN AMERICA WOULD DIE BY 00:02:20.840 --> 00:02:20.940 PEOPLE IN AMERICA WOULD DIE BY RIGHT 00:02:20.940 --> 00:02:21.808 PEOPLE IN AMERICA WOULD DIE BY RIGHT NOW 00:02:21.808 --> 00:02:22.175 PEOPLE IN AMERICA WOULD DIE BY RIGHT NOW OF 00:02:22.175 --> 00:02:22.942 PEOPLE IN AMERICA WOULD DIE BY RIGHT NOW OF COVID, 00:02:22.942 --> 00:02:22.976 PEOPLE IN AMERICA WOULD DIE BY RIGHT NOW OF COVID, INSTEAD, 00:02:22.976 --> 00:02:23.109 RIGHT NOW OF COVID, INSTEAD, 00:02:23.109 --> 00:02:23.610 RIGHT NOW OF COVID, INSTEAD, MORE 00:02:23.610 --> 00:02:23.743 RIGHT NOW OF COVID, INSTEAD, MORE THAN 00:02:23.743 --> 00:02:24.277 RIGHT NOW OF COVID, INSTEAD, MORE THAN 250,000 00:02:24.277 --> 00:02:24.544 RIGHT NOW OF COVID, INSTEAD, MORE THAN 250,000 HAVE 00:02:24.544 --> 00:02:24.577 RIGHT NOW OF COVID, INSTEAD, MORE THAN 250,000 HAVE DIED. 00:02:24.577 --> 00:02:24.711 MORE THAN 250,000 HAVE DIED. 00:02:24.711 --> 00:02:25.011 MORE THAN 250,000 HAVE DIED. WHERE 00:02:25.011 --> 00:02:25.678 MORE THAN 250,000 HAVE DIED. WHERE DOES 00:02:25.678 --> 00:02:26.079 MORE THAN 250,000 HAVE DIED. WHERE DOES THE 00:02:26.079 --> 00:02:26.312 MORE THAN 250,000 HAVE DIED. WHERE DOES THE DATA 00:02:26.312 --> 00:02:26.579 MORE THAN 250,000 HAVE DIED. WHERE DOES THE DATA LEAD 00:02:26.579 --> 00:02:26.613 MORE THAN 250,000 HAVE DIED. WHERE DOES THE DATA LEAD YOU 00:02:26.613 --> 00:02:26.746 MORE THAN 250,000 HAVE DIED. WHERE DOES THE DATA LEAD YOU TO 00:02:26.746 --> 00:02:26.913 WHERE DOES THE DATA LEAD YOU TO 00:02:26.913 --> 00:02:27.046 WHERE DOES THE DATA LEAD YOU TO BELIEVE 00:02:27.046 --> 00:02:27.180 WHERE DOES THE DATA LEAD YOU TO BELIEVE WE'LL 00:02:27.180 --> 00:02:30.917 WHERE DOES THE DATA LEAD YOU TO BELIEVE WE'LL BE 00:02:30.917 --> 00:02:31.117 WHERE DOES THE DATA LEAD YOU TO BELIEVE WE'LL BE BY 00:02:31.117 --> 00:02:31.151 WHERE DOES THE DATA LEAD YOU TO BELIEVE WE'LL BE BY SPRINGTIME 00:02:31.151 --> 00:02:31.551 BELIEVE WE'LL BE BY SPRINGTIME 00:02:31.551 --> 00:02:31.618 BELIEVE WE'LL BE BY SPRINGTIME >> 00:02:31.618 --> 00:02:31.751 BELIEVE WE'LL BE BY SPRINGTIME >> THIS 00:02:31.751 --> 00:02:32.352 BELIEVE WE'LL BE BY SPRINGTIME >> THIS IS 00:02:32.352 --> 00:02:32.418 BELIEVE WE'LL BE BY SPRINGTIME >> THIS IS OBVIOUSLY 00:02:32.418 --> 00:02:32.452 BELIEVE WE'LL BE BY SPRINGTIME >> THIS IS OBVIOUSLY ONE 00:02:32.452 --> 00:02:32.619 BELIEVE WE'LL BE BY SPRINGTIME >> THIS IS OBVIOUSLY ONE OF 00:02:32.619 --> 00:02:32.952 >> THIS IS OBVIOUSLY ONE OF 00:02:32.952 --> 00:02:33.253 >> THIS IS OBVIOUSLY ONE OF THOSE 00:02:33.253 --> 00:02:33.453 >> THIS IS OBVIOUSLY ONE OF THOSE SITUATIONS 00:02:33.453 --> 00:02:33.486 >> THIS IS OBVIOUSLY ONE OF THOSE SITUATIONS WHERE 00:02:33.486 --> 00:02:33.820 >> THIS IS OBVIOUSLY ONE OF THOSE SITUATIONS WHERE I 00:02:33.820 --> 00:02:33.853 >> THIS IS OBVIOUSLY ONE OF THOSE SITUATIONS WHERE I WAS 00:02:33.853 --> 00:02:34.053 THOSE SITUATIONS WHERE I WAS 00:02:34.053 --> 00:02:34.087 THOSE SITUATIONS WHERE I WAS HOPING 00:02:34.087 --> 00:02:34.154 THOSE SITUATIONS WHERE I WAS HOPING I 00:02:34.154 --> 00:02:35.855 THOSE SITUATIONS WHERE I WAS HOPING I WAS 00:02:35.855 --> 00:02:35.889 THOSE SITUATIONS WHERE I WAS HOPING I WAS WRONG 00:02:35.889 --> 00:02:35.955 THOSE SITUATIONS WHERE I WAS HOPING I WAS WRONG IN 00:02:35.955 --> 00:02:36.055 THOSE SITUATIONS WHERE I WAS HOPING I WAS WRONG IN THE 00:02:36.055 --> 00:02:36.122 THOSE SITUATIONS WHERE I WAS HOPING I WAS WRONG IN THE OTHER 00:02:36.122 --> 00:02:36.356 HOPING I WAS WRONG IN THE OTHER 00:02:36.356 --> 00:02:36.422 HOPING I WAS WRONG IN THE OTHER DIRECTION, 00:02:36.422 --> 00:02:36.656 HOPING I WAS WRONG IN THE OTHER DIRECTION, AND 00:02:36.656 --> 00:02:36.689 HOPING I WAS WRONG IN THE OTHER DIRECTION, AND UNFORTUNATELY 00:02:36.689 --> 00:02:36.823 DIRECTION, AND UNFORTUNATELY 00:02:36.823 --> 00:02:36.890 DIRECTION, AND UNFORTUNATELY IT'S 00:02:36.890 --> 00:02:36.990 DIRECTION, AND UNFORTUNATELY IT'S BEEN 00:02:36.990 --> 00:02:37.090 DIRECTION, AND UNFORTUNATELY IT'S BEEN WORSE 00:02:37.090 --> 00:02:38.057 DIRECTION, AND UNFORTUNATELY IT'S BEEN WORSE THAN 00:02:38.057 --> 00:02:38.091 DIRECTION, AND UNFORTUNATELY IT'S BEEN WORSE THAN I 00:02:38.091 --> 00:02:38.458 IT'S BEEN WORSE THAN I 00:02:38.458 --> 00:02:38.491 IT'S BEEN WORSE THAN I PREDICTED. 00:02:38.491 --> 00:02:38.725 PREDICTED. 00:02:38.725 --> 00:02:39.993 PREDICTED. I 00:02:39.993 --> 00:02:41.327 PREDICTED. I SEE 00:02:41.327 --> 00:02:41.494 PREDICTED. I SEE ANOTHER 00:02:41.494 --> 00:02:41.594 PREDICTED. I SEE ANOTHER THOUSAND 00:02:41.594 --> 00:02:42.028 PREDICTED. I SEE ANOTHER THOUSAND DEATHS 00:02:42.028 --> 00:02:42.061 PREDICTED. I SEE ANOTHER THOUSAND DEATHS BY 00:02:42.061 --> 00:02:42.395 I SEE ANOTHER THOUSAND DEATHS BY 00:02:42.395 --> 00:02:42.462 I SEE ANOTHER THOUSAND DEATHS BY INAUGURATION 00:02:42.462 --> 00:02:42.762 I SEE ANOTHER THOUSAND DEATHS BY INAUGURATION DAY, 00:02:42.762 --> 00:02:43.062 I SEE ANOTHER THOUSAND DEATHS BY INAUGURATION DAY, AND 00:02:43.062 --> 00:02:43.696 I SEE ANOTHER THOUSAND DEATHS BY INAUGURATION DAY, AND ONCE 00:02:43.696 --> 00:02:43.863 I SEE ANOTHER THOUSAND DEATHS BY INAUGURATION DAY, AND ONCE WE 00:02:43.863 --> 00:02:44.230 INAUGURATION DAY, AND ONCE WE 00:02:44.230 --> 00:02:44.330 INAUGURATION DAY, AND ONCE WE GET 00:02:44.330 --> 00:02:44.797 INAUGURATION DAY, AND ONCE WE GET INTO 00:02:44.797 --> 00:02:45.064 INAUGURATION DAY, AND ONCE WE GET INTO THE 00:02:45.064 --> 00:02:46.199 INAUGURATION DAY, AND ONCE WE GET INTO THE SPRING, 00:02:46.199 --> 00:02:46.633 INAUGURATION DAY, AND ONCE WE GET INTO THE SPRING, WE 00:02:46.633 --> 00:02:46.666 INAUGURATION DAY, AND ONCE WE GET INTO THE SPRING, WE EASILY 00:02:46.666 --> 00:02:46.799 GET INTO THE SPRING, WE EASILY 00:02:46.799 --> 00:02:47.333 GET INTO THE SPRING, WE EASILY COULD 00:02:47.333 --> 00:02:47.901 GET INTO THE SPRING, WE EASILY COULD BE 00:02:47.901 --> 00:02:47.967 GET INTO THE SPRING, WE EASILY COULD BE AT 00:02:47.967 --> 00:02:48.902 GET INTO THE SPRING, WE EASILY COULD BE AT 450 00:02:48.902 --> 00:02:48.968 GET INTO THE SPRING, WE EASILY COULD BE AT 450 OR 00:02:48.968 --> 00:02:49.402 GET INTO THE SPRING, WE EASILY COULD BE AT 450 OR EVEN 00:02:49.402 --> 00:02:49.569 GET INTO THE SPRING, WE EASILY COULD BE AT 450 OR EVEN 500,000 00:02:49.569 --> 00:02:49.736 COULD BE AT 450 OR EVEN 500,000 00:02:49.736 --> 00:02:49.769 COULD BE AT 450 OR EVEN 500,000 DEATHS 00:02:49.769 --> 00:02:50.303 DEATHS 00:02:50.303 --> 00:02:50.837 DEATHS THAT 00:02:50.837 --> 00:02:50.970 DEATHS THAT ALL 00:02:50.970 --> 00:02:51.070 DEATHS THAT ALL DEPENDS 00:02:51.070 --> 00:02:51.471 DEATHS THAT ALL DEPENDS ON 00:02:51.471 --> 00:02:53.373 DEATHS THAT ALL DEPENDS ON US, 00:02:53.373 --> 00:02:53.439 DEATHS THAT ALL DEPENDS ON US, RIGHT, 00:02:53.439 --> 00:02:53.540 THAT ALL DEPENDS ON US, RIGHT, 00:02:53.540 --> 00:02:53.573 THAT ALL DEPENDS ON US, RIGHT, WE 00:02:53.573 --> 00:02:53.706 THAT ALL DEPENDS ON US, RIGHT, WE DO 00:02:53.706 --> 00:02:53.773 THAT ALL DEPENDS ON US, RIGHT, WE DO THINGS 00:02:53.773 --> 00:02:53.840 THAT ALL DEPENDS ON US, RIGHT, WE DO THINGS THAT 00:02:53.840 --> 00:02:54.107 THAT ALL DEPENDS ON US, RIGHT, WE DO THINGS THAT ARE 00:02:54.107 --> 00:02:54.140 THAT ALL DEPENDS ON US, RIGHT, WE DO THINGS THAT ARE SMART, 00:02:54.140 --> 00:02:54.274 THAT ALL DEPENDS ON US, RIGHT, WE DO THINGS THAT ARE SMART, WE 00:02:54.274 --> 00:02:54.507 WE DO THINGS THAT ARE SMART, WE 00:02:54.507 --> 00:02:55.375 WE DO THINGS THAT ARE SMART, WE CAN 00:02:55.375 --> 00:02:55.508 WE DO THINGS THAT ARE SMART, WE CAN AVOID 00:02:55.508 --> 00:02:55.541 WE DO THINGS THAT ARE SMART, WE CAN AVOID THAT