0:00:09.039,0:00:11.529 David Merell whose is a student 0:00:12.329,0:00:15.549 In Virginia and he did a experiment 0:00:15.873,0:00:18.183 we did an experiment and I just called it 0:00:18.306,0:00:22.566 in my own notes the destructive effect 0:00:22.566,0:00:25.696 of rock and the salutary of effect 0:00:25.696,0:00:28.176 of classical music and i think i will 0:00:28.176,0:00:30.496 just have David come up and explain to 0:00:30.496,0:00:32.926 you what he did and what his experiment 0:00:32.926,0:00:34.736 was and what it demonstrated 0:00:35.024,0:00:39.024 So David 0:01:15.760,0:01:17.430 David: Good Morning 0:01:17.683,0:01:19.313 First of all I Just like to say 0:01:19.363,0:01:21.823 thank you to Mrs. Ogdmen for inviting me 0:01:21.845,0:01:23.875 here to be able to speak to you this 0:01:23.876,0:01:29.886 morning and I would like to um say thank 0:01:29.886,0:01:31.836 you for the wonderful introduction as 0:01:31.836,0:01:34.026 he said my name is David Merell I'm a 0:01:34.026,0:01:36.156 Junior or senior at Nansemond River 0:01:36.156,0:01:38.176 High school and i received a lot of 0:01:38.186,0:01:40.936 recognition for this project which I'm 0:01:40.936,0:01:45.266 here today to tell you about 0:01:45.266,0:01:48.313 I Guess i can start off by 0:01:48.313,0:02:00.793 *inaudible Speaking from the crowd 0:02:00.793,0:02:04.423 David : Hows that Is that, is that better 0:02:04.423,0:02:08.003 Okay Alright As i said my name is 0:02:08.003,0:02:10.813 David Merrel and I' here to tell you about 0:02:10.813,0:02:13.023 an experiment that i received a lot of 0:02:13.023,0:02:17.193 recognition for. I have been brought up 0:02:17.193,0:02:19.093 In my family and my family has been 0:02:19.093,0:02:22.343 big on music they, they seen, what 0:02:22.343,0:02:24.633 you know the big effect that music can 0:02:24.633,0:02:26.943 have on the use of today and on society. 0:02:27.736,0:02:29.886 and they always brought me up teaching me 0:02:29.886,0:02:33.806 that heavy metal that sort of music 0:02:33.806,0:02:36.086 really isn't good for ya and that 0:02:36.088,0:02:39.478 classical music is something that is good 0:02:39.478,0:02:42.068 There's nothing bad about it and just to 0:02:42.068,0:02:44.238 In general realize just how powerful 0:02:44.238,0:02:46.528 music is and I have been doing research 0:02:46.565,0:02:48.915 and our family is , you know has books 0:02:48.931,0:02:51.521 and things like that about music 0:02:51.521,0:02:53.971 and one day we came across this research 0:02:53.971,0:02:56.411 that Michael Bowlen about how he used 0:02:56.411,0:03:01.561 music he used classical music and atonal 0:03:01.583,0:03:04.523 sounds on groups of mice and ran them 0:03:04.523,0:03:07.393 through a maze to see what, what the 0:03:07.403,0:03:08.783 effects would have on them and I said 0:03:08.783,0:03:11.919 that pretty neat, so I came up with a 0:03:11.919,0:03:14.339 project or devised a project that would 0:03:14.339,0:03:17.269 somewhat simulate a learning environment 0:03:17.839,0:03:20.689 for mice for what I did or the title of 0:03:20.689,0:03:22.909 the project is music mice amazes the 0:03:22.909,0:03:24.349 classic rock is growing that continues 0:03:24.349,0:03:26.759 this is a, this actually second year that 0:03:26.759,0:03:30.179 i have done this project 0:03:30.179,0:03:32.909 in this project my hypothesis was that. 0:03:33.416,0:03:35.126 Music would have an effect on the 0:03:35.126,0:03:37.131 learning abilities of white male mice 0:03:37.131,0:03:39.301 classical music will have a positive 0:03:39.301,0:03:41.941 effect whereas hardrock music will have 0:03:41.941,0:03:44.901 a negative effect and as I said this is 0:03:44.901,0:03:47.721 Second year I've done this project and the 1st year. 0:03:47.721,0:03:49.911 I did this project I obtained eighteen 0:03:49.911,0:03:52.401 white male mice from a local pet store. 0:03:52.802,0:03:54.682 and divided them into three different 0:03:54.682,0:03:57.172 groups. A hardrock group or heavy metal 0:03:57.172,0:03:59.502 group which would listen to Anthrax, 0:03:59.502,0:04:03.732 stunt 442 and at the time since we really 0:04:03.732,0:04:06.322 didnt know any good heavy metal groups we 0:04:06.322,0:04:08.312 just went to K-Mart and ask the clerk 0:04:08.312,0:04:10.472 behind the desk whats a good heavy metal 0:04:10.472,0:04:12.862 group and she handed us this CD and after 0:04:12.862,0:04:15.052 about ten seconds of listening to it 0:04:15.052,0:04:16.922 we found that's the one wanted 0:04:16.922,0:04:18.952 *crowd is laughing from David joke 0:04:18.952,0:04:22.704 Um we then ah, we also had a classical 0:04:22.704,0:04:27.094 group. Which we played a variety of different classical 0:04:27.094,0:04:28.734 songs to it, it didn't matter which ones 0:04:28.734,0:04:31.194 as long as it was classical. So we divided 0:04:31.194,0:04:33.074 this mice into three different groups 0:04:33.074,0:04:34.834 and we began running them through a fixed 0:04:34.834,0:04:38.014 maze over the course of the next four weeks 0:04:38.014,0:04:40.926 and as time progressed the mice either 0:04:40.926,0:04:44.936 got faster or slower and ah the classical 0:04:45.010,0:04:47.790 or I'll go into that later. But 0:04:47.790,0:04:49.161 the interesting thing about first year 0:04:49.161,0:04:51.201 I did this project is that actually I 0:04:51.201,0:04:53.611 had to cut it short because the heavy 0:04:53.611,0:04:56.481 music had made these mice who can't 0:04:56.481,0:04:59.291 understand words just the sounds alone 0:04:59.291,0:05:01.851 had made them so violent that within 0:05:01.851,0:05:04.031 three weeks there was only one mouse left 0:05:04.031,0:05:05.331 in the rock group 0:05:05.331,0:05:06.361 * crowd is laughing 0:05:06.361,0:05:09.441 It was rather interesting because 0:05:09.441,0:05:12.351 the mice they just they seem to be 0:05:12.351,0:05:14.267 so disconent with one another and 0:05:14.267,0:05:16.787 they would separate themselves from the 0:05:16.787,0:05:19.877 other mice and then you know they just 0:05:19.877,0:05:22.277 turn around and kill one of the other mice 0:05:22.277,0:05:24.774 For as the classical mice and controlled mice 0:05:24.774,0:05:26.704 they were perfectly fine with one another 0:05:26.704,0:05:28.694 They didn't have problems what so ever 0:05:28.694,0:05:32.884 it was, it was interesting and so my 0:05:32.884,0:05:34.734 after doing this project for my first 0:05:34.734,0:05:37.234 year. I had a lot of suggestion and found 0:05:37.234,0:05:40.424 out a lot problems with my project 0:05:40.424,0:05:43.632 This is a background of the project 0:05:43.632,0:05:47.172 which I just described and as I said 0:05:47.172,0:05:49.202 there a lot of problem with the project 0:05:49.202,0:05:50.172 there weren't enough subject for 0:05:50.172,0:05:52.388 statistical analysis. I'm sorry if you 0:05:52.388,0:05:56.128 can't see but were try more or less the 0:05:56.128,0:05:59.189 uh. Like I said there weren't enough mice 0:05:59.189,0:06:01.689 for statistical analysis i only had 18 0:06:01.689,0:06:03.209 mice that first year. So the second year 0:06:03.209,0:06:07.289 I did my project i had 72 also in the 0:06:07.289,0:06:09.319 first year like I said I obtained the mice 0:06:09.319,0:06:11.789 From a local pet store and I did know 0:06:11.789,0:06:14.759 what their age , their weight uh what 0:06:14.759,0:06:17.129 their genetic background was which had. 0:06:17.129,0:06:18.799 which could have an affect on the outcome 0:06:18.799,0:06:21.289 of the overall project 0:06:21.289,0:06:23.549 Their uh their living condition as 0:06:23.549,0:06:25.869 I would say was one of the big problems 0:06:25.869,0:06:29.629 They were able to interact with another 0:06:29.629,0:06:31.493 and they were also given a 0:06:31.493,0:06:34.353 very unrealistic music environment 0:06:34.353,0:06:36.443 The two variable groups which listen to 0:06:36.443,0:06:40.603 music as I said uh were subjective to 0:06:40.603,0:06:44.645 their music 24 hours a day at 90 decibels 0:06:44.645,0:06:48.561 and that's a little extreme its kinda loud 0:06:48.561,0:06:51.541 and its all day long and so i looked 0:06:51.541,0:06:53.711 at these problems and I decided that 0:06:53.711,0:06:55.341 it needed a lot of work 0:06:56.294,0:07:00.654 So what I did um was i obtained 0:07:00.654,0:07:03.674 the 72 white male mice I said but this 0:07:03.674,0:07:05.874 year I quoted them from 0:07:05.874,0:07:07.724 Harland Spray Darley which is a 0:07:07.724,0:07:09.574 laboratory which specializes in the use 0:07:09.574,0:07:12.004 of animals in uh research each mouse 0:07:12.004,0:07:15.044 each is mouse 4 to 5 weeks old 0:07:15.044,0:07:19.584 15 to 20 grams in weight and uh 0:07:19.584,0:07:21.014 and their all genetically 0:07:21.014,0:07:23.303 similar their all out friend mice 0:07:23.303,0:07:25.833 when I received the mice I put them 0:07:25.833,0:07:28.053 all to separate 5 gallon aquariums 0:07:28.053,0:07:31.813 thus eliminating the possibility of 0:07:31.813,0:07:34.043 um subject destruction 0:07:34.043,0:07:35.770 *crowd is laughing from joke 0:07:35.770,0:07:38.390 I, I also gave the each mouse a 0:07:38.390,0:07:42.940 ceratin amount of food light and water 0:07:42.940,0:07:46.030 The uh receives 12 hours of light and 0:07:46.030,0:07:50.220 music this year was kept 10 at hours a day 0:07:50.220,0:07:52.700 at 70 decibels which seem a little more 0:07:52.700,0:07:56.010 moderate than 24 hours a day at 90 decibels 0:07:59.050,0:08:01.110 the uh 72 mice which i had obtained from 0:08:01.110,0:08:03.973 Harland Spray Garley i dived into three 0:08:03.973,0:08:06.033 different groups again but this year 0:08:06.033,0:08:08.343 i had a small variation of that I 0:08:08.343,0:08:10.233 had the control group once again which 0:08:10.233,0:08:12.133 was suppose to simulate just how 0:08:12.133,0:08:14.143 much a regular mouse should learn . 0:08:14.143,0:08:16.433 the classical group this year 0:08:16.433,0:08:18.743 listen to mozart and i decide on mozart 0:08:18.743,0:08:22.613 because through the past year the 0:08:22.613,0:08:24.983 research i had done it seem that mozart 0:08:24.983,0:08:26.983 was used the most in other studies done 0:08:26.983,0:08:29.583 with in music and then I used once again 0:08:29.583,0:08:31.453 Used the anthrax Cd or the hard 0:08:31.453,0:08:37.463 rock group this is a picture of the 0:08:37.463,0:08:41.993 anthrax cd and it was probably the only 0:08:41.993,0:08:44.053 side of the cover that I can show was 0:08:44.053,0:08:46.803 decent I'm going to play a you a 0:08:46.803,0:08:51.753 very short excerpt from the cd um 0:08:51.753,0:08:53.313 if i made it lengthy i don't think 0:08:53.313,0:08:55.173 anybody would stay 0:08:55.173,0:09:06.573 *inaudible speaking from the crowd 0:09:06.573,0:09:10.573 *David putting the cd in the cd player 0:09:10.573,0:09:21.423 *anthrax is playing 0:09:21.423,0:09:25.423 *Crowd Laughs 0:09:28.576,0:09:31.426 * David switches to Classical music 0:09:31.426,0:09:36.686 *inaudible speaking from david 0:10:14.760,0:11:07.370 *Mozart is playing 0:11:08.268,0:11:12.268 That was probably much more pleasant 0:11:12.621,0:11:14.471 Upon arrival each mouse was 0:11:14.471,0:11:17.341 individually weighed in order to make 0:11:17.341,0:11:19.431 sure that they were healthy and 0:11:19.431,0:11:20.671 throughout the rest of project each 0:11:20.671,0:11:22.971 week the mice were weighed 0:11:22.971,0:11:24.831 in order to make sure they stayed 0:11:24.831,0:11:26.881 within the healrhy growth curve if the 0:11:26.881,0:11:29.761 mice were to suddenly drop in weight the 0:11:29.761,0:11:31.758 project would have to stop because 0:11:31.758,0:11:34.578 the indication of stress or sickness 0:11:34.578,0:11:39.568 caused by the music and this graph 0:11:39.568,0:11:43.438 gives you a, a color version I guess of 0:11:43.438,0:11:46.298 the growth curve of the mice the red 0:11:46.298,0:11:49.198 represent the hard rock or heavy metal 0:11:49.198,0:11:51.468 the green represent the control and the 0:11:51.468,0:11:54.638 blue represent the classical even though 0:11:54.638,0:11:57.598 it looks likes the hard rock makes a 0:11:57.598,0:12:00.118 drastic change from week 2 to 3 0:12:00.118,0:12:05.368 it still remain within the growth 0:12:05.368,0:12:07.618 curve what I did was upon arrival 0:12:07.618,0:12:08.828 caused I said the mice were 0:12:08.828,0:12:10.528 put into their individual cages 0:12:10.528,0:12:11.888 and then they were given a one week 0:12:11.888,0:12:13.998 period in which to acclimate to their 0:12:13.998,0:12:15.968 new environment this allowed the mice to 0:12:15.968,0:12:17.048 settle down and get comfortable with 0:12:17.048,0:12:20.448 with their, their surrounding after which 0:12:20.448,0:12:23.298 their run through a fixed maze three 0:12:23.298,0:12:25.698 times in order to get a base starting 0:12:25.698,0:12:27.858 time after they run through maze the 0:12:27.858,0:12:31.048 first time they were then subjected to 0:12:31.048,0:12:35.048 music the following week and then were run 0:12:35.048,0:12:37.208 through the maze another, additional 0:12:37.208,0:12:38.628 three times. I continued 0:12:38.628,0:12:42.508 to play the music for the next 0:12:42.508,0:12:44.228 four weeks and randomized through 0:12:44.228,0:12:46.078 the maze three times after each week 0:12:46.078,0:12:54.018 and by the first week they knew 0:12:54.018,0:12:56.948 the maze you know or they sort a got a 0:12:56.948,0:12:58.888 feel for it and then second week 0:12:58.888,0:13:03.278 and the third week that's a 0:13:03.278,0:13:05.158 little picture of the treat they got 0:13:05.158,0:13:08.258 at the end and the fourth week 0:13:08.258,0:13:10.478 by this time the a control and classical 0:13:10.478,0:13:12.328 knew it very well and the hard 0:13:12.328,0:13:15.889 rock I'd hate to say but did not. 0:13:15.889,0:13:19.309 This gives a, a data table of the 0:13:19.309,0:13:21.339 average run time in seconds as 0:13:21.339,0:13:23.639 well as the weights in grams the 0:13:23.639,0:13:27.009 week one at the top is the 0:13:27.009,0:13:28.849 baseline starting time the initial 0:13:28.849,0:13:30.809 one before the music had been started 0:13:30.809,0:13:32.459 and all three groups started out 0:13:32.459,0:13:34.609 pretty close to ten minutes. 0:13:34.609,0:13:37.659 Which about 590 seconds then 0:13:37.659,0:13:39.049 throughout the course of the week 0:13:39.049,0:13:40.269 the control group manage to get 0:13:40.269,0:13:42.449 their time down to 307 seconds 0:13:42.449,0:13:45.359 which is about and average of 5 minutes. 0:13:45.359,0:13:46.769 The classical group manages to get 0:13:46.769,0:13:50.309 their time all the way down to 106 0:13:50.309,0:13:53.549 seconds which is about a minute 46 0:13:53.549,0:13:55.699 so compared to the normal or average 0:13:55.699,0:13:57.799 mouse one that listen to classical is 0:13:57.799,0:14:01.799 above average . The hard rock mice 0:14:02.465,0:14:04.635 increase their time from 10 minutes 0:14:04.635,0:14:08.585 to 1825 seconds which is about 0:14:08.585,0:14:10.465 30 minutes and started having 0:14:10.465,0:14:12.325 problems with this actually 0:14:12.325,0:14:14.365 because during, while running the 0:14:14.365,0:14:16.185 control and classical while I did 0:14:16.185,0:14:18.415 this during uh early part of the school 0:14:18.415,0:14:19.745 year school it was fine because it take 0:14:19.745,0:14:22.485 me, you know two hours or 0:14:22.485,0:14:24.755 sometime to ten minutes you know 0:14:24.755,0:14:25.985 half and hour maybe tops doing for 0:14:25.985,0:14:28.575 all the mice for the classical but with 0:14:28.575,0:14:29.915 the hard rock by the end of the fourth 0:14:29.915,0:14:31.645 week it was taking take me 5 and a 0:14:31.645,0:14:33.625 half to 6 hours a day to run these 0:14:33.625,0:14:39.465 mice and it was, was getting rather 0:14:39.465,0:14:40.235 extreme 0:14:40.235,0:14:41.595 * crowd laughing 0:14:41.595,0:14:45.595 This give a,a graph of the run time 0:14:45.889,0:14:47.959 and at the left it shows that all 0:14:47.959,0:14:49.529 three groups started pretty much 0:14:49.529,0:14:51.069 at the same time. But then by the 0:14:51.069,0:14:52.749 time you progress through the week 0:14:52.749,0:14:57.339 the classical which is in blue decrease 0:14:57.339,0:15:01.829 their time by 8 and a half minutes 0:15:01.829,0:15:05.339 which is went up the control went 0:15:05.339,0:15:07.979 up slightly or cut off 5 minutes from 0:15:07.979,0:15:11.099 their time and the hard rock went 0:15:11.099,0:15:14.199 straight for the bottom they added 20 0:15:14.211,0:15:15.611 minutes to their time. 0:15:19.211,0:15:23.211 This gives a, a delta which is a 0:15:23.229,0:15:25.059 difference between weeks and it 0:15:25.059,0:15:26.919 just shows how much time they were 0:15:26.919,0:15:30.929 able to, able to cut from the previous 0:15:30.929,0:15:35.959 week and by week 4 to 1 it show the 0:15:35.959,0:15:38.179 number which I had just said that they 0:15:38.179,0:15:40.869 control mange to cut off 291 seconds 0:15:40.869,0:15:43.569 the classical 503 seconds and hard 0:15:43.569,0:15:51.499 rock had added 1256 seconds this give 0:15:51.499,0:15:54.889 a delta graph which is the data table 0:15:54.889,0:15:57.994 which I showed you but now its in a graph 0:15:57.994,0:15:59.534 and actually shows how the 0:15:59.534,0:16:02.674 control between week 1 and 2 0:16:02.674,0:16:04.824 actually did slightly better than the 0:16:04.824,0:16:06.634 classical but then between 2 and 3, 0:16:06.634,0:16:09.440 3 and 4 the classical seem to jump far 0:16:09.440,0:16:13.820 ahead. This give a overall graph of the 0:16:13.820,0:16:16.910 groups and it shows a real vivid picture 0:16:16.910,0:16:19.298 of just how drastics changes were between 0:16:19.298,0:16:24.998 the groups after accumulating all my data 0:16:25.156,0:16:27.446 which was actually 852 bits whereas the 0:16:27.446,0:16:31.446 year before as I mention 30 something 0:16:32.051,0:16:34.921 after i seen the data i took it to a 0:16:35.061,0:16:39.061 statistician whose was Dr. Mike Doveach 0:16:39.061,0:16:41.411 assistant professor of Mathematics and 0:16:41.411,0:16:44.141 statics at Old Dominion University. 0:16:44.141,0:16:46.411 and when I explained my project to him 0:16:46.711,0:16:48.621 and gave him the data he decided 0:16:48.621,0:16:51.511 to run three different test and he ran a 0:16:51.511,0:16:53.271 Manova test which useda a null 0:16:53.271,0:16:56.321 hypothesis, Anova test which looks 0:16:56.321,0:16:57.711 for statistical difference from week to 0:16:57.711,0:16:59.791 week and a Tukey studentized range 0:16:59.791,0:17:01.771 test the most importnat of these was the 0:17:01.771,0:17:04.201 Tukey studentized range test this looked 0:17:04.201,0:17:08.201 for a statistical significance difference 0:17:08.201,0:17:10.891 between one groups to see if you know. 0:17:10.891,0:17:13.161 If it was important enough to even 0:17:13.161,0:17:17.281 notice and a normal statistical, 0:17:17.281,0:17:19.601 statistically significant fact would 0:17:19.601,0:17:23.241 be to be a P of value of 0.1 and 0:17:23.241,0:17:25.561 after accumulating the data and 0:17:25.561,0:17:30.071 making the result we found that between 0:17:30.071,0:17:32.011 the classical and control this is from 0:17:32.011,0:17:36.011 week 4 to 1 there was a P Value of .01 0:17:37.750,0:17:40.880 we then ran out the number later and 0:17:40.880,0:17:42.820 found out it was even more significant 0:17:42.820,0:17:45.200 it went all the way out to P value of .001 0:17:47.780,0:17:49.840 The control to hard rock was as well 0:17:49.840,0:17:51.050 found to be significant or 0:17:51.050,0:17:52.640 statistically significant out of P value 0:17:52.640,0:17:56.470 of .01 it was as well, we as well 0:17:56.470,0:17:58.560 went further with that and found out that 0:17:58.560,0:18:00.010 it statically significant to a P value 0:18:00.010,0:18:05.385 of .0001.and the classical to hard 0:18:05.385,0:18:07.795 rock was as well statically significant 0:18:07.795,0:18:11.175 at a P Value .01 and extened to a P Value 0:18:11.175,0:18:16.305 0001. In conclusion I can say that 0:18:16.305,0:18:18.585 music does indeed have an effect 0:18:18.585,0:18:20.515 on the learning abilities on white male 0:18:20.515,0:18:23.135 mice. Classical music has a very 0:18:23.135,0:18:25.835 positive effect on the learning abilities 0:18:25.835,0:18:27.575 whereas the hard rock music has 0:18:27.582,0:18:29.532 a even greater negative effect on the 0:18:29.532,0:18:32.592 learning abilities and a side from the 0:18:32.592,0:18:34.812 fact which I have been able shown you 0:18:34.812,0:18:38.812 today. I can say from my own view 0:18:38.812,0:18:40.712 and my own opinion from observing 0:18:40.712,0:18:45.972 the mice that its, its seem to be not 0:18:45.972,0:18:48.962 only digress their ability to learn but 0:18:48.962,0:18:51.494 their ability to cope one with another 0:18:51.494,0:18:55.384 and in fact with the mice after the second 0:18:55.384,0:18:57.284 year of this doing their project as I 0:18:57.284,0:18:58.774 said i had keep them seperate this year 0:18:58.774,0:19:00.834 to try to eliminate the fighting after 0:19:00.834,0:19:03.074 the project i would take all the mice to a 0:19:03.074,0:19:06.024 local pet store to just get rid of them 0:19:06.024,0:19:08.564 and give them away and when I did this 0:19:08.564,0:19:10.654 with the classical and control mice 0:19:10.654,0:19:12.154 I would put them into a or 0:19:12.154,0:19:13.894 just one group at a time I'll 0:19:13.894,0:19:15.404 put them into two aquariums 0:19:15.404,0:19:17.348 and take them away thas 24 mice 0:19:17.348,0:19:19.188 in 20 gallons. and I thought that 0:19:19.188,0:19:21.198 wasn't that bad and it wasn't for 0:19:21.198,0:19:23.568 the classical and control they were fine 0:19:23.568,0:19:25.628 with one another .However when I put 0:19:25.628,0:19:27.728 the hardrock mice in there and within 0:19:27.728,0:19:31.138 an hour they had just begun fighting so 0:19:31.138,0:19:33.318 severely that i had to separate all the 0:19:33.318,0:19:35.848 mice and gave them about a week just 0:19:35.848,0:19:37.988 to you know chill out I guess you can say 0:19:37.988,0:19:38.918 crowds laughing 0:19:38.918,0:19:41.468 and sorta, sorta of calm down that 0:19:41.468,0:19:43.618 because I guess the music 0:19:43.618,0:19:45.188 had made them so uptight 0:19:45.188,0:19:47.908 and just you know had been putting 0:19:47.908,0:19:50.168 these bad messages into them. That they 0:19:50.168,0:19:52.288 couldn't handle one another and so I gave 0:19:52.288,0:19:54.418 them about a week just to calm down 0:19:54.418,0:19:56.498 and settle down and actually play a little 0:19:56.498,0:19:57.618 classical music to them and see if it 0:19:57.618,0:20:01.298 would reverse the effects so by, after 0:20:01.298,0:20:02.888 about a week or so you know i put 0:20:02.888,0:20:05.068 them back in and they were still a 0:20:05.068,0:20:07.228 little feisty but i magane to get them 0:20:07.228,0:20:09.928 to the store in time. It's just it been 0:20:09.928,0:20:12.008 an interesting project and i have 0:20:12.008,0:20:14.478 enjoyed doing it and enjoyed the 0:20:14.478,0:20:16.348 result i have found as well as the 0:20:16.348,0:20:18.208 research I've done and its too bad 0:20:18.208,0:20:23.508 that its not a subject that is widely i 0:20:23.508,0:20:25.658 guess you can say publicized as 0:20:25.658,0:20:28.318 it should be because there i found 0:20:28.318,0:20:31.808 multiple areas of research which are 0:20:31.808,0:20:35.358 extremely significant whether it how 0:20:35.358,0:20:37.518 the great effects of classical music on 0:20:37.518,0:20:39.558 preschooler learning the ABC's or 0:20:39.558,0:20:42.828 something like or whether its you know 0:20:42.828,0:20:45.798 just bad the moral of hard rock music and 0:20:45.798,0:20:48.648 something interesting is that these mice 0:20:48.648,0:20:51.368 could not understand the lyrics but the 0:20:51.368,0:20:54.078 music alone was bad enough much less the 0:20:54.078,0:20:56.528 lyrics which the people were subjected to 0:20:56.528,0:20:58.748 but the mice were not and that's 0:20:58.748,0:21:00.538 something that I think is pretty 0:21:00.538,0:21:03.248 significant as well.Once again i would 0:21:03.248,0:21:05.388 like to thank you for the opportunity 0:21:05.388,0:21:07.868 to be here to be able to present this 0:21:07.868,0:21:09.218 project to you. 0:21:09.218,0:21:10.808 Thank you 0:21:10.808,0:21:14.808 *crowd clapping