00:18 the Uniform Code of Military Justice
00:23 specifies court-martial for any officer
00:26 who sends a soldier into battle without
00:28 a weapon there ought to be a similar
00:31 protection for students because students
00:33 shouldn't go out into life without an
00:35 ability to communicate and that's
00:38 because your success in life will be
00:40 determined largely by your ability to
00:42 speak your ability to write and the
00:46 quality of your ideas in that order I
00:49 know that I can be successful in this
00:52 because the quality of communication
00:56 you're speaking your writing is largely
00:59 determined by this formula it's a matter
01:02 of how much knowledge you have how much
01:05 you practice with that knowledge and
01:07 your inherent talent and notice that the
01:10 T is very small what really matters is
01:13 what you know this point that came to me
01:16 uh suddenly a few decades ago when I was
01:20 skiing at Sun Valley I had heard that it
01:23 was celebrity weekend and one of the
01:25 celebrities was a was Mary Lou Retton
01:30 famous Olympic gymnast perfect tens of
01:33 the vault and I heard that she was a
01:36 novice of skiing so when the opportunity
01:39 arrived I looked over on a novice slope
01:41 and saw this young woman who when she
01:44 became unbalanced but like that and I
01:48 said that's got to be her that must be
01:50 the gymnast but then it occurred to me
01:54 I'm a much better skier than she is and
01:57 she's an Olympic athlete not only an
01:58 ordinary a bullet Olympic athlete an
02:00 outstanding one and I was a better skier
02:04 because I had decay and I had to pee and
02:08 all she had was the tea so you can get a
02:11 lot better than people who may have
02:13 inherent talents if you have the right
02:15 amount of knowledge so that's what my
02:18 objective is today adheres my promise
02:20 today you will see some examples of what
02:25 you can put in your armamentarium of
02:27 speaking techniques
02:29 and it will be the case that some one of
02:34 those examples some heuristic some
02:36 technique maybe only one will make what
02:40 will be the one that gets you the job
02:41 and so this is a very nonlinear process
02:44 you never know when it's going to happen
02:46 but that is my promise for the end of
02:49 the next 60 minutes you know they've
02:52 been exposed to a lot of ideas some of
02:55 which you'll incorporate into your own
02:56 repertoire enable ensure that you get
03:00 the maximum opportunity to have your
03:05 ideas valued and accepted by the people
03:09 you speak with now in order to do that
03:13 we have to have a rule of engagement and
03:16 that is no laptops no cell phones so if
03:22 you could close those I'll start up as
03:25 soon as you're done some people ask why
03:28 that is a is a rule of engagement and
03:31 the answer is we humans only have one
03:34 language processor and if your language
03:37 processor is inkay could you shut the
03:39 laptop please if your language processor
03:41 is engaged browsing the web or reading
03:45 your email you're distracted and worse
03:48 yet to distract all the people around
03:50 you studies have shown that and worse
03:52 yet if I see a open laptop somewhere
03:55 back there or up here it drives me nuts
03:59 and I do a worse job and so that ensures
04:03 that all of your friends who work there
04:05 or who are paying attention don't get
04:07 the performance that they came to have
04:10 so that's it for preamble
04:13 let's get started first thing you talk
04:17 about of course is how to start
04:24 some people think the right thing to do
04:27 is to start a talk with a joke I don't
04:43 and the reason is that in the beginning
04:46 people are still putting their laptops
04:48 away to becoming adjusted to your
04:51 speaking parameters to your vocal
04:53 parameters and they're not ready for a
04:57 joke so it doesn't work very well they
05:00 usually fall flat what you want to do
05:02 instead to start with empowerment
05:05 promise you want to tell people what
05:10 they're going to know at the end of the
05:13 hour that they didn't know at the
05:14 beginning in the hour
05:16 it's an empowerment promise it's the
05:17 reason for being here what would be an
05:22 example oh I see at the end of this 60
05:26 minutes you will know things about
05:28 speaking you don't know now and
05:30 something among those things you know
05:32 will be make a difference in your life
05:34 yeah that's an empowerment promise so
05:36 that's the best way to start so now that
05:39 I've talked a little bit about how to
05:41 start what I want to do is give you some
05:42 samples of heuristics that are always on
05:45 my mind when I give a talk and first of
05:49 these heuristics is that it's a good
05:52 idea to cycle on the subject go around
05:56 it go around it begin go around to begin
06:00 some people say so much you want to tell
06:03 them tell them again
06:06 and then tell them a third time as if
06:08 people weren't intelligent but the point
06:12 is the reason is well there are many
06:15 reasons one of which is in any given
06:17 moment about twenty percent of you will
06:19 be fogged out no matter what the lecture
06:21 is so if you want to ensure the
06:23 probability that everybody gets it is
06:24 high you need to say it three times so
06:28 cycling is one of the things that I
06:30 always think about when I give a talk no
06:33 thing I think about is in explaining my
06:36 idea I want to build a fence around it
06:43 so that it's not confused with somebody
06:45 else's idea so if you were from Mars and
06:49 I was teaching you about what an arch is
06:51 I might say to you well that's an arch
06:54 and that's not to be confused with some
06:56 other things that other people might
06:58 think it's not this is not an arch
07:01 that's not an arch I'm building a fence
07:04 around my idea so that it can be
07:06 distinguished from somebody else's idea
07:08 so in a more technical sense I might say
07:10 well my algorithm might similar might
07:14 seem similar to Josie's algorithm except
07:15 his is exponential in - linear that's
07:18 putting a fence around your idea so that
07:20 people can not be confused about how it
07:23 might relate to something else
07:26 the third thing on this list of samples
07:29 is the idea of verbal punctuation and
07:44 the idea here is that because people
07:47 will occasionally fog out and need to
07:50 get back on the bus you need to provide
07:53 some landmark places where you're
07:56 announcing that it's a good time to get
07:58 back on so I might in this talk say
08:02 something about this being my outline
08:04 the first thing we're going to do is
08:06 talk about how to start then we're going
08:09 to deal with these four samples and
08:10 among these four samples I've talked
08:14 about the first idea that's cycling the
08:16 second idea building and now the third
08:18 idea is built is verbal punctuation some
08:22 enumerated and providing numbers I'm
08:24 giving you a sense that there's a seam
08:27 in the talk and you can get back back on
08:30 ok so now we're on a roll and since
08:36 we're on a roll can you guess what forth
08:41 idea might be here an idea that helps
08:43 people get back on the bus
08:51 yes ask a question yes thank you so ask
08:58 a question and so I will ask a question
09:06 how much dead air can there be how long
09:09 can I pause I count to seven seconds it
09:13 seems like an eternity to me to wait and
09:15 not say anything for seven seconds but
09:17 that's the standard amount of time you
09:19 can wait for an answer
09:20 and of course the question has to be
09:22 carefully chosen it can't be too obvious
09:24 because then people will be embarrassed
09:26 to say it what the answer is
09:28 can't be too hard because then nobody
09:29 will have anything to say so here are
09:33 some sample heuristics so you can put in
09:35 your armamentarium and build up your
09:37 your repertoire of ideas about
09:41 presentation and now if this persuade
09:46 you that there is something to know that
09:50 there there is knowledge then I've
09:52 already succeeded because what I want to
09:55 convince you of is that if you watch the
09:57 speakers you admire and feel are
09:59 effective and ask yourselves why they're
10:01 successful then you can build up your
10:03 own personal repertoire and develop your
10:06 own personal style and that's that's my
10:08 fundamental objective and the rest of
10:11 this talk is about some of the things
10:13 that are in my armamentarium that I
10:15 think are effective so next thing in our
10:19 agenda as we start to discuss these
10:21 other things is a discussion of time and
10:23 place so what do you think is a good
10:26 time to have a lecture 11 a.m. yeah
10:37 and the reason is most people that might
10:42 er wait by then and hardly anyone has
10:45 gone back to sleep it's not right after
10:49 people aren't fatigued from this or that
10:52 it's great time to have a lecture so
10:55 that brings me next to the question of
10:56 what about the place and the most
10:59 important thing about the place is that
11:01 it be well-lit this room is well-lit
11:11 problem with other kinds of rooms is
11:16 whenever the lights go down or weather
11:18 whenever the room is dimly lighted it
11:20 signals that we should go to sleep so
11:23 whenever I go somewhere to give a talk
11:24 even today the first thing I do when I
11:27 speak to the are the original people to
11:29 say keep the lights full up
11:31 oh they might reply people will see the
11:38 slides better if we turn the lights off
11:39 and then I reply it's extremely hard to
11:43 see slides through closed ayahs what
11:50 else can you say about the place well
11:53 the place should be cased and I mean
11:58 that in a cloak Royal sense of like if
12:01 you're robbing a bank you would go to
12:03 the bank and you know some some
12:06 occasions before to see what it's like
12:08 so there's no surprises when you when
12:10 you do your robbery so whenever I go
12:15 somewhere to speak the first thing I
12:16 asked my host to do is to take me to the
12:18 place where I'll be speaking so there
12:20 any weirdnesses I'll be able to to deal
12:25 with it sometimes it might require some
12:27 intervention sometimes it just might
12:29 require me to understand what the
12:32 challenges are so when I came here this
12:35 morning I did what I typically do I
12:38 imagine that all the seats were filled
12:40 with disinterested farm animals
12:43 that way I knew that no matter how bad
12:46 it was it wouldn't be as bad as that so
12:51 finally it should be reasonably it
12:55 should be reasonably populated it should
13:04 be it should be the case that ain't know
13:07 if there are ten people in this hall
13:08 everyone would be wondering what's going
13:11 on that's so much more interesting that
13:12 nobody's here so you want to get a right
13:15 size place that's doesn't have to be
13:17 packed that it has to be more than half
13:19 full so those are some thoughts about
13:22 time and place the next thing I want to
13:25 talk about is subjective the boards and
13:37 well these are the tools of the trade I
13:41 believe that this is the this is a the
13:46 right tool for speaking when their
13:49 purpose is informing the slides are good
13:53 when your purpose is exposing but it's
13:56 what I use when I'm informing teaching
13:58 lecturing and there are several reasons
14:01 why I use it for one thing when you use
14:04 the board you have a graphic quality
14:09 it's the case that when you have a board
14:12 then you can easily exploit the fact
14:15 that you can use graphics in your
14:20 presentation so that's a graphic quality
14:23 that I like and next thing I like is
14:25 that like a speed property the speed
14:30 with which you write on the blackboard
14:32 is approximately the speed at which
14:33 people can absorb ideas if you go
14:36 flipping through a bunch of slides
14:38 nobody can go that fast
14:43 finally one great property of a board is
14:47 that it can be a target many people who
14:55 are now is's speaking find themselves
15:00 suddenly aware of their hands it's as if
15:04 their hands were private parts that
15:06 shouldn't be exposed in public so right
15:07 away they go into the pockets and this
15:10 is considered insulting in some parts of
15:12 the world or alternatively maybe the
15:15 hands will go and back like this I was
15:19 once in a convent in Serbia and my host
15:25 well we were as soon as we entered a nun
15:29 came up to us and offered us a
15:30 refreshment and I was about to say no
15:33 thank you when he said eat that stuff or
15:37 it's a question of a local custom and
15:40 and Colitis but then before anything
15:44 happened there the nun pulled my hands
15:47 off like this because it was
15:49 extraordinarily insulting in that
15:51 culture to have your hands behind your
15:53 back so why is that well it's it usually
15:57 is suppose that that's that it has to do
15:59 with whether you're concealing a weapon
16:01 such your hands are in your pockets or
16:03 behind your back then it looks like you
16:08 might have a weapon and that's what I
16:10 mean by the virtue of one of these
16:12 virtues of the board now you have
16:14 something to do with your hands you can
16:15 point out the stuff
16:17 I was once watching scene where Patrick
16:21 gave a lecture I thought it was terrific
16:23 so I went a second time first time to
16:26 absorb the content second time to note
16:28 the style and what I discovered is that
16:30 Patrick was constantly pointing at the
16:32 board and then I thought about a little
16:35 while and I noted that none of the stuff
16:37 he was pointing to had anything to do
16:39 with what he was saying nevertheless it
16:43 was a effective technique so that's just
16:49 a little bit about the virtue of black
16:52 boards now I want to talk about props
16:55 you know the custodians of knowledge
16:58 about props are the playwrights many
17:02 decades ago I saw play by henrik ibsen
17:05 it was head of gambler I remember
17:08 vaguely there was about a woman in an
17:10 unhappy marriage and her husband was in
17:14 competition for an academic job with
17:16 somebody else and he was going to lose
17:18 partly because he was boring and partly
17:21 because the competitor had just written
17:23 a magnificent book by the way this is
17:26 back in the days before they were
17:27 copying machines and computers
17:29 anyhow anyhow as the play opens there's
17:42 and in the beginning of the play the
17:47 pot-bellied stove with its open door
17:49 just has some slightly glowing embers
17:53 but the public stove is always there and
17:56 it's tension melts in the play and you
17:59 see this manuscript this prop the Ipsen
18:02 so artfully use you just know that
18:06 something's going to happen because as
18:08 the play goes on the fire gets bigger
18:11 and hotter and finally all consuming
18:15 images know that that manuscript is
18:17 going to go into that fire it's
18:21 memorable thing is what I remember about
18:23 play so playwrights have got this all
18:27 figured out but in their hand they're
18:31 not the only people who can use props
18:33 here's an example of the use of a prop
18:36 also due to see more pepper he was
18:39 talking about how it's important to look
18:42 at the problem in the right way and
18:44 here's an example that not only teaches
18:48 that that makes it possible for you to
18:50 embarrass your friends and Mechanical
18:51 Engineering so here's what you do
18:54 take this bicycle wheel you started
18:57 spinning and then you put some torque on
19:00 the axle or equivalently you blow on the
19:04 edge and the issue is as we go that way
19:08 or does it go that way now the
19:12 mechanical engineers will immediately
19:15 say oh yes I see right hand screw rule
19:17 and they'll put their fingers in this
19:19 position but forget exactly how to align
19:23 their fingers with various aspects of a
19:25 problem and so it's usually the case
19:29 that they get it right with about a 50
19:31 percent probability
19:33 so they're a very fancy education gets
19:38 them up to the point where they are
19:39 equivalent to flipping a coin but it
19:43 doesn't have to be that way because you
19:46 can think about the problem a little
19:47 differently so here's what you do you
19:50 take some duct tape and you put it
19:54 around the part of the wheel like that
19:56 and now you start to think about not the
19:58 whole wheel but just a little piece
20:01 that's underneath the duct tape so here
20:04 that piece comes rolling over the top at
20:06 this point you blow on that with a puff
20:08 of air forgetting about the rest of the
20:10 wheel what happens to that little piece
20:12 is under the duct tape it must want to
20:14 go that way but you bang another like
20:15 that it's already going down like that
20:18 and what about the next piece same thing
20:21 next piece same thing so the only thing
20:23 that can happen is it the wheel goes
20:26 over like that and so now you'll never
20:28 wonder again because he's thinking about
20:31 the problem in the right way and it's
20:33 demonstrated by use of a problem you
20:38 could try this after we're done another
20:44 example I like to remember is one from
20:48 when I was taking 801 Ella Lazarus was
20:51 the instructor at the time and he was
20:54 talking about the conservation of energy
20:56 kinetic and potential and there was a
20:59 long wire in a ceiling in 26100 attached
21:04 to a much bigger steel ball the one not
21:07 one like this and Lazarus took the ball
21:12 up against a wall like this he put his
21:15 head right against the wall to steady
21:17 himself and then he let go and the
21:21 pendulum takes many seconds ago over and
21:24 back and then gently
21:28 kisses Lazarus his nose and so you have
21:31 many seconds to think this guy really
21:34 believes in the conservation of energy
21:42 do not try this at home the problem is
21:47 that first time you do this you may not
21:50 just let go there's a natural human
21:53 tendency to push so that's a little bit
22:03 on a subject of props
22:23 you know it's interesting whenever
22:25 surveys are taken students always say
22:28 more chalk less PowerPoint and why would
22:32 that be props are always also very
22:35 effective why would that be
22:38 I'll give you my lunatic fringe view on
22:41 this it has to do with what I would call
22:59 empathetic mirroring when you're sitting
23:02 up there watching me write on the board
23:04 all those little mirror neurons in your
23:06 head I believe become actuated and you
23:10 can feel yourself writing on the
23:12 blackboard and even more so when I talk
23:16 about this steel ball though I'm not
23:18 wearing this way you can you can you can
23:20 feel the ball as if you were me and you
23:24 can't do that with a slide you can't do
23:26 it with a picture you need to see it in
23:30 a physical world that's why I think that
23:32 oh yes of course it's there their speed
23:36 questions involved to that have to be
23:38 separated out but I think that
23:40 empathetic mirroring is why props and
23:42 the use of a blackboard are so effective
23:50 oh yes there is one more thing by way of
23:54 the tools and that has to do with the
23:57 use of slides I repeat I think therefore
24:04 exposing ideas not for teaching ideas
24:05 but that's what we do in a job talk or
24:08 conference talk expose ideas we don't
24:12 teach them so let me tell you a little
24:14 bit about my views on that I remember
24:20 once I was some in Terminal A at Logan
24:28 Airport I just come back from a really
24:31 miserable conference and the flight was
24:33 really horrible it was one of those that
24:36 feels like an unbalanced washing machine
24:37 and for the only time in my life I
24:40 decided to stop on my way to my car
24:43 and have a cup of coffee and relax a
24:47 little bit and as I was there for a few
24:49 minutes someone came up to me and said
24:51 are you professor Winston I think so I
24:55 said I don't know I guess I was trying
24:58 to be funny in any event he said I'm on
25:01 my way to Europe to give a job talk
25:04 critiquing my slides not at all I said
25:08 you have too many and they have too many
25:09 words how did you know he said thinking
25:14 perhaps I'd seen a talk of his before I
25:17 hadn't my reply was because it's always
25:21 true they're always too many slides
25:23 always too many words so let me show you
25:26 some extreme examples of how not to use
25:33 well for this demonstration I need to be
25:37 way over here and that when I get over
25:43 here then I can start to say things like
25:47 one of the things you shouldn't do is
25:49 read your transparencies people in your
25:51 audience know how to read and reading
25:53 will just annoy them
25:54 also you should be sure that you have
25:56 only a few words on each transparency
25:58 and that their words are easy to read
26:01 and I hope it driving you crazy because
26:04 I'm committing all kinds of crimes the
26:07 first of which is that there are too
26:09 many words on the slide second of which
26:13 is I'm way over there and the slides way
26:15 over there so you get into this tennis
26:18 match feeling of shifting back and forth
26:22 between the slide and the speaker you
26:24 want the slides to be condiments to what
26:26 you're saying not the main event or the
26:29 opposite way around so how can we fix
26:32 this step number one is to get rid of
26:36 the background chunk that's always
26:38 distraction step number two is to get
26:41 rid of the words when I reduced the
26:44 words to these then everything I read a
26:48 previous time I'm not licensed to say
26:51 because it's not on the slide I'm not
26:53 reading my slides anymore but I'm saying
26:55 what it was written on the slice in a
26:58 previous example so what else can we do
27:02 to simplify this well we can get rid of
27:06 the logos we don't need them
27:10 simplification what else can we do get
27:15 rid of the title now I want to talk to
27:18 you about some rules for slide
27:20 preparation I'm telling you the title
27:22 doesn't have to be up there by reducing
27:25 the number of words on the slide
27:26 I mean allow you to pay more attention
27:28 to me unless so what's written on the
27:30 slide I mentioned it before we have only
27:33 one language processor and we can either
27:36 use it to read stuff or to listen to the
27:38 speaker and so if we have too many words
27:42 on the slide forces people in the
27:44 audience to redo stuff and not
27:48 student of mine did an experiment a few
27:50 years ago he taught some students some
27:55 web-based programming ideas half the
28:00 information was on slides he said the
28:02 other half and then for a control group
28:05 he reversed it and the question was what
28:09 did the subjects that is a freshman in
28:12 his fraternity what did the subjects
28:13 remember best what he said or what they
28:18 read on the slide and the answer is what
28:23 they read on the slide when their slides
28:27 have a lot of material on it they'll pay
28:28 attention to the speaker in fact in the
28:30 after-action report one of the subjects
28:33 said I wish you hadn't talked so much it
28:36 was distracting well the last item is
28:41 eliminate clutter I hear some clutter
28:44 and we know no reason even for those
28:47 bullets so the too many words problem is
28:51 a consequence of a crime Microsoft has
28:53 committed by allowing you to use some
28:56 fonts that are too small so you should
29:00 all have a sample slide like this that
29:03 you can use to determine what the
29:05 minimum font size is this this is easily
29:08 legible Shira what do you think of those
29:17 you know minimum maybe you know he says
29:23 forty or fifty I think it's about right
29:26 thirty-five is if you get too small not
29:29 necessarily because you can't read it
29:30 but because it because you're probably
29:32 using it to get too many words on the
29:36 what other crimes do we have well we
29:40 have the laser pointer crime meant for
29:44 that everyone you know in the old days
29:45 when we didn't have laser pointer skis
29:48 wooden ones and people would go waving
29:51 these things around and pretty soon it
29:56 became almost like a baton twirling
29:58 contest so here's what his way
30:01 recommended in the old days for dealing
30:02 with this kind of pointer this example
30:13 Jim glass up there so let's talk about
30:15 twenty years ago and so yeah I
30:18 remembered that talk that's one way you
30:22 it's amazing how props tend to be the
30:25 things that are remembered well now we
30:28 don't have we don't have a little
30:31 pointers anymore we've got we've got
30:34 laser pointers that's a wonder more
30:36 people aren't driven into epileptic fits
30:39 over this first well here's what tends
30:42 oh yeah that's a lovely recursive
30:46 picture and I could become part of it by
30:49 putting that laser beam right on the
30:51 back of my head up there then what do
30:56 you see you see the back of my head and
31:00 I have no eye contact no engagement
31:03 nothing I was sitting I was a student
31:05 watching a talk one day and she said you
31:08 know what we could all leave and he
31:15 so what happens when you use the laser
31:17 pointer you can't use the laser pointer
31:19 without turning your head and pointing
31:21 at something and when you do that you
31:25 lose you lose contact with the audience
31:26 you don't want to do it so what do you
31:29 do if you need to identify something in
31:32 your image and you don't want to point
31:34 out it with a laser this is what you do
31:36 put a little arrow on there and say now
31:38 look at that guy number one at the end
31:40 of arrow number one you don't need to
31:42 have a laser pointer to do that
31:48 the too heavy crime when people ask me
31:52 to review a presentation I asked someone
31:55 to print it out and lay it out on a
31:57 table when they do that it's easy to see
32:02 whether the talk is too heavy
32:05 too much text not enough air than the
32:08 white space not enough imagery this is a
32:13 good example of such a talk way too
32:16 heavy now this is the presenter has
32:20 taken advantage of small font sizes to
32:23 get as much on the slide as he wanted
32:26 lots of other crimes here but the two
32:29 heaviness the fact that it's too heavy
32:31 is what I wanted to illustrate so here
32:34 by contrasts another talk when I gave a
32:37 few years ago it's not it wasn't a
32:38 deeply technical talk but I'll show it
32:42 to you because there's air in it it's
32:46 mostly pictures of things there are
32:49 three or four slides that have text on
32:51 them but when I come to those I give the
32:54 audience time to read them and they're
32:56 there because they might have some
32:58 historical significance the first slide
33:01 will have text on it as a extraction
33:03 from the nineteen fifty-seven from the
33:06 for the from the proposal for the 1957
33:08 AI conference at Dartmouth
33:10 extraordinarily interesting event and
33:12 that historical extraction from the
33:17 proposal helps drive that point home
33:20 what else oh we got here
33:22 oh yeah your vocabulary word for the day
33:24 this is an app packs legoman on what
33:28 that means is this is the kind of slide
33:31 you can get away with exactly once in
33:33 your presentation this is a slide at
33:37 their got some currency some years ago
33:38 because it shows the complexity of
33:42 governing in Afghanistan by showing how
33:46 impossibly complex it is it's something
33:50 we you and in the audience can't
33:51 understand and that's the point but you
33:54 can't have many of these you can have
33:56 one per work one for presentation one
33:58 for paper one per book that's what I
34:01 that's what epic slow going on is and
34:03 this is an example of it well I'll show
34:07 you some crimes and so you might be
34:08 asking do these crimes actually occur so
34:15 they do theirs the hands in the pockets
34:23 crime there's a crime in time and place
34:29 selection here this is how you get to
34:33 the Bartos theater first thing you do is
34:36 you get on these steps over at the Media
34:38 Lab then you cross this large open space
34:43 then you turn right down this corridor
34:46 at this point whenever I go in there I
34:48 wonder if they're torture implements
34:51 around the corner and then when you get
34:53 in there you get into this dark gloomy
34:56 place so it's well-named what when they
34:59 call it the Bartos theater because it's
35:01 a place where you can watch a movie but
35:02 it's not a place where you can give a
35:03 talk now on a subjective doesn't happen
35:09 here's a talk I attended a while back in
35:12 Stata notice that the speaker is far
35:17 away from the slides speakers using a
35:20 laser pointer and you say to me well
35:24 what's happening here is by the way the
35:27 80th 80th slide in the presentation
35:30 notice that it's dense with words
35:33 the first of ten conclusion slides so
35:38 what's the audience reaction that's the
35:42 sponsor of the meeting he's reading his
35:45 email this is the co-sponsor of the
35:49 meeting he's examining the lunch menu
35:53 what about this person this person looks
35:59 like he's paying attention but that's
36:02 because it's a still picture if you were
36:05 to see a video what you would see is
36:06 something like this
36:13 so yeah it does happen
36:17 well now that's a a quick review of
36:21 tools now I want to talk about some
36:26 special cases I could talk a little bit
36:31 about informing or to say another way
36:34 doing what I'm doing now but I'll just
36:38 say a few words about that and that kind
36:40 of in that kind of presentation you want
36:42 to start with a promise like I did for
36:44 this for this for this hour that we're
36:47 going now but then there comes the
36:49 question of how do you inspire people
36:52 I've given this talk for a long time and
36:54 a few years ago our department chairman
36:58 said would you please say I give this
36:59 talk to a new faculty and be sure to
37:03 emphasize what it takes to inspire
37:05 students and strangely I hadn't thought
37:07 about that question before so I started
37:09 a survey I talked to some of my incoming
37:12 freshmen advisees and I talked to those
37:15 senior faculty and everything in between
37:17 about how they've been inspired what I
37:21 found from the incoming freshmen is that
37:24 they were inspired by some high school
37:25 teacher who told them they could do it
37:28 when I found in the senior faculty they
37:32 were inspired by someone who helped them
37:35 to see a problem in a new way and what I
37:38 saw from everyone is that they were
37:41 inspired when someone exhibited passion
37:46 about what they were doing exhibited
37:50 passionate about what they are doing
37:51 yeah so that's not that's one way to be
37:56 inspiring it's easy for me because you
37:59 know I do artificial intelligence and
38:03 how can you not be interested in
38:06 artificial intelligence right I mean if
38:08 you're not interested in artificial
38:09 intelligence you're probably not
38:11 interested in interesting things
38:14 so when I'm lecturing in my AI class its
38:19 natural for me to talk about what I
38:22 and how exciting some new idea is so
38:27 that's the kind of that's the kind of
38:29 expression of passion that makes a
38:31 difference while informing with respect
38:34 to this question of inspiring oh yeah
38:40 and of course during this promise phase
38:43 you can also express how cool stuff is
38:46 let me give you an example of a lecture
38:48 that starts this way I'm talking about
38:51 resource allocation it's the same sort
38:53 of stuff you would think of when your
38:54 source it's the same sort of ideas you
38:56 would need if you're allocating aircraft
38:59 to a flight schedule or trying to
39:01 schedule a factory or something like
39:03 but the example is putting colors on the
39:06 states in the United States without any
39:09 bordering states having the same color
39:10 so here goes this is what I show in the
39:16 beginning of the class this is a way of
39:19 doing that coloring and you might say
39:22 well why don't we wait till it finishes
39:24 would you like to do that no well we're
39:30 not going to wait till it finishes
39:31 because the Sun will have exploded and
39:33 consumed the earth before this program
39:34 finishes but with a slight adjustment to
39:39 how the program works which I tell my
39:41 students you will understand in the next
39:43 50 minutes this is what you get isn't
39:50 that cool you know you got you got to be
39:52 you got to be amazed by stuff that takes
39:55 a computation from longer than the
39:57 lifetime of the solar system into a few
39:59 seconds so that's why I mean by
40:03 providing a promise upfront and
40:05 expressing some passion about what
40:07 you're talking about well the last item
40:11 in this little block here is it has to
40:14 do with what people think that they do
40:15 at MIT you ask faculty what the most
40:18 important purpose is and they'll say
40:20 well the most important thing I do is
40:23 teach people how to think and then
40:26 you say oh that's great how do you teach
40:29 people how to think blank stare no one
40:35 can quite respond to that part that
40:38 natural next question so how do you
40:41 teach people how to think well I believe
40:45 that we are storytelling animals and
40:48 that we start developing our story
40:52 understanding of manipulating skills
40:53 with fairy tales in childhood and
40:56 continue on through professional schools
40:58 like law business medicine engineering
41:02 everything and we continue doing that
41:04 throughout life so if that is what
41:07 thinking is all about then when you want
41:10 to teach people how to think you
41:11 provided them with the stories they need
41:13 to know the questions they need to ask
41:15 about those stories mechanisms for
41:17 analyzing those stories ways of putting
41:19 stories together ways of evaluating how
41:23 reliable the story is and that's what I
41:25 think you need to do when you teach
41:27 people how to think but that's all about
41:30 education and many of you here not
41:35 necessarily for that but rather for for
41:38 this part for persuading which breaks
41:41 down into several categories oral exams
41:43 not shown chopped talks getting famous I
41:47 won't say much about oral exams other
41:50 than the fact that they used to be a lot
41:52 scarier than they are today in the old
41:55 days reading the literature in a foreign
41:59 language was part of that and there was
42:01 a high failure rate and when you look at
42:05 when you look back on those failures the
42:08 most usual reason for people failing an
42:11 oral exam is failure to situate and a
42:15 failure to practice if I situate I mean
42:18 it's important to talk about your
42:20 research in context this is the problems
42:23 being pursued all over the world
42:24 there hasn't been any progress before me
42:27 in past 30 years everyone is looking for
42:31 a solution because it will have impact
42:33 on so many other things
42:34 such situating in time and place and
42:37 feel and then as far as practice is
42:40 concerned but yes practice is important
42:42 but that doesn't mean showing your
42:45 slides to the people who share an office
42:48 with the problem with that is that if
42:53 people know what you're doing they will
42:54 host Nate that there's material in their
42:56 presentation it isn't it isn't there a
42:59 very each month seen by the way is your
43:02 faculty supervisor is not a very good
43:05 person to help you debug a talk because
43:07 they in fact know what you're doing and
43:10 they will in fact Colusa Nate there's
43:12 material in your presentation isn't
43:13 there so you need to get together some
43:16 friends who don't know what you're doing
43:17 and have them well you start the
43:21 practice session by saying if you can't
43:24 make me cry I won't value as a friend
43:28 and then when you get to the faculty on
43:31 a oral exam it will be easy
43:34 it's a difficulty or the amount of flack
43:38 you'll get from somebody is proportional
43:40 to age the older somebody is they're
43:43 more the more they understand whether
43:45 they are in the world but but the young
43:47 people are trying to show the old people
43:49 how smart they are so it's a lovely
43:51 vicious so whenever you have an
43:53 opportunity to have an examining
43:54 committee that's full of people with
43:56 great hair that's what you want well
43:59 that's just a word or two about
44:00 something I haven't listened here let's
44:02 get into the subject of job talks so I
44:05 was sitting at a bar many years ago in
44:12 San Diego I was remember the Navy
44:15 Science Board and I was saying with a
44:18 couple of my colleagues on the board
44:20 dolorous editor from the University of
44:23 Colorado she made me some jealous I
44:25 could spit because she had bitten 21
44:27 books and I've only written 17 and then
44:30 the other one was Oh bill Weldon from
44:35 the University of Texas he was a
44:39 electromagnetism guy and you know he
44:41 knew how to use railguns to to drive
44:43 steel rods through tank armor these are
44:45 interesting people so I said what do you
44:48 for a faculty candidate and within the
44:55 one microsecond Delores said that to
44:59 show us they've got some kind of vision
45:02 quickly followed by Bill who said they
45:06 have to show us that they've done
45:07 something know what sounds good I said
45:17 and then I said to them how long does
45:20 the candidate have to establish these
45:22 two things what do you think well
45:27 compare your answer to the airs five
45:34 minutes so if you haven't expressed your
45:38 vision if you haven't told people you've
45:40 done something in five minutes you're
45:43 are you're are you've already lost so
45:46 you have to be able to do that and let
45:47 me just mention a couple of things in
45:49 that connection here which is you know
45:52 the vision is in part a problem that
45:54 somebody cares about and something new
45:59 in your approach so the problem is
46:07 understanding the nature of human
46:08 intelligence and the approach is asking
46:12 questions about what makes us different
46:13 from chimpanzees and Neanderthals is it
46:18 merely a matter of quantity or we're
46:20 just a little bit smarter in some
46:21 continuous way or do we have something
46:24 that's fundamentally different that
46:26 chimpanzees don't have and Neanderthals
46:29 either and the answer is yes we do have
46:33 something different we are symbolic
46:35 creatures and because we're symbolic
46:37 creatures we can we can build symbolic
46:43 descriptions of relations and events we
46:46 can string them together and make
46:47 stories and because we can make stories
46:50 that's what makes us different so that's
46:52 that's that's my stump speech that's how
46:54 I start most of my talks on my own
46:58 how do you express the notion that
47:02 you've done something by listening the
47:06 steps that need to be taken in order to
47:09 achieve the solution of that problem you
47:12 don't have to have done all those steps
47:14 but you can say here's here's what needs
47:16 to be done an example here's what needs
47:19 to be done we need to specify some
47:21 behavior we need to enumerate the
47:25 constraints that make it possible to
47:26 deal with that behavior we have to
47:29 implement a system because we're
47:30 engineers and we don't think that we've
47:31 understood something unless we can build
47:33 it and we built such a system and we're
47:36 about to demonstrate it to you today
47:38 that would be an example of a numerating
47:40 series of steps needed to realize the
47:43 vision so then bla bla bla bla bla bla
47:47 bla bla and then you conclude by you
47:51 conclude by enumerating your
47:53 contributions it's kind of mirror of of
48:02 these steps and helps to establish that
48:05 you've done something so that's a kind
48:07 of general purpose framework for doing a
48:09 technical talk no only a few more things
48:14 left to do today getting famous is the
48:17 next item on our agenda because once
48:20 you need to think a little bit about how
48:22 you're going to be recognized for what
48:33 Oh first of all why should you care
48:35 about getting famous I thought about
48:38 this connection with a fundraising event
48:43 I attended once fundraising event for
48:49 raising money to save Venice from going
48:51 underwater and having all of its art
48:52 destroyed anyway I was sitting here and
48:56 JC was sitting here
48:59 that was a Julia CH like Julia Child and
49:07 as the evening wore on more and more
49:10 people would come up and ask Julia to
49:13 autograph something or express a feeling
49:17 that she had changed their life and just
49:20 happened over and over again so
49:23 eventually I turned to Julia and I said
49:26 miss child is it fun to be famous and
49:29 she thought about it for a second and
49:31 she said you get used to it but you know
49:36 what occurred to me you never get used
49:38 to being ignored so it's you know it's
49:42 it's here's a way to think about it your
49:45 ideas are like your children you don't
49:47 want them to go into the world and rags
49:49 so what I wanted to do is to be sure
49:51 that you have these techniques these
49:54 mechanisms these thoughts about how to
49:56 present the ideas that you have so that
49:58 they recognize the value that is in them
50:01 so that's why it's a legitimate thing to
50:04 concern yourself with with packaging now
50:08 how do you get remembered well there's
50:11 something I like to call Winston Starr
50:13 and every one of the items I'm about to
50:16 articulate has a starts with an S so if
50:22 you want your presentation ideas to be
50:24 remembered one of the things you need to
50:26 do is to make sure that you have some
50:29 kind of symbol associated with your work
50:33 so this Arjun example is actually from
50:36 my PhD thesis many many years ago and
50:41 in the course of my work at that time
50:44 this worked on arts learning became
50:46 mildly famous and I didn't know why it
50:48 was only many years later that I
50:51 realized that that work accidentally had
50:53 all of the elements on this star so the
50:56 first element is that there was a kind
50:58 of symbol it's the arts itself next
51:05 thing you need is some kind of slogan
51:07 a kind of phrase that provides a handle
51:12 on the work and in this case the phrase
51:14 was one-shot learning and it was
51:20 one-shot because the program I wrote
51:22 learned something definite from every
51:25 example that was presented to us so in
51:29 going from a model based on this
51:31 configuration to something that isn't an
51:33 arts based on that configuration the
51:36 program learned that it has to be on top
51:37 one-shot learning so that's a simple
51:43 slogan and now we need a surprise yeah
51:51 the surprise is you don't need a million
51:53 examples of something to learn you can
51:56 do it with one example if you're smart
51:58 enough to make use of that example
52:00 appropriately so that was the surprise
52:02 you can learn something definite from
52:04 each example next item was a salient
52:08 idea now when I say salient idea I don't
52:15 mean important what I mean is an idea
52:17 that sticks out some some theses funnily
52:22 enough have too many good ideas and you
52:24 don't know what it's all about because
52:25 which one is it so you need an idea that
52:27 sticks out and the idea that stuck out
52:30 here was noticed I'm a near-miss
52:38 you see this is not an arch but it
52:41 doesn't miss by much so it's a near miss
52:45 finally you need to tell the story of
52:50 how you did it how it works why it's
52:53 important so that's some a bit on how do
53:00 not so much get famous but how to ensure
53:02 that your work is recognized well doctor
53:06 we're almost finished because now we're
53:08 down in this last item which is so how
53:11 to stop and when we come back there's a
53:15 question of alright well what is the
53:16 final slide and what are the final words
53:29 so for the sign of final slide let me
53:32 give you some examples of possibilities
53:36 how about this one well you might see
53:42 that slide and think to yourself there
53:50 are a thousand faculty at MIT nice piece
53:54 of work but not so much but it's only a
53:56 tiny piece of work if you invited by a
53:58 thousand so when you show a whole
54:01 gigantic list of collaborators at the
54:03 end of a talk it's so kind of it's a
54:05 it's it's it's kind of led out because
54:07 it suggests that nobody knows whoa did
54:09 you do anything significant there you
54:12 got it you got to recognize your
54:13 collaborators right so where do you do
54:16 none of the last line on the first slide
54:19 all this was on the first slide these
54:21 are the collaborators so you don't want
54:23 to put them at the end you know what a
54:24 slide like this how about this one
54:30 this is the worst possible way to end a
54:32 talk because this slide can be up there
54:38 for 20 minutes I've seen it happen
54:40 it's squanders real estate it squanders
54:44 an opportunity to tell people who you
54:45 are it's just what about this one I
54:56 often see it I never seen anybody write
55:00 also it wastes opportunity oh my god
55:13 all of these slides do nothing for you
55:17 they waste an opportunity for you to
55:20 tell people to leave people with what
55:22 you with who you are well what about
55:26 this this is a good one it might seem so
55:32 at first but here's the problem if you
55:38 say these are my conclusions these are
55:41 perfectly legitimate conclusions that
55:43 nobody cares about what they care about
55:45 is what you have done and that's why
55:48 your final slide should have this label
55:51 contributions it's a mirror of what I
55:54 said over there about how job talks on
55:55 to that ought to be like a sandwich and
55:57 the final slide the one that's up there
55:59 while people are asking questions and
56:01 filing out it ought to be the one that
56:02 has your contributions on here's an
56:05 example from my own stump speech yeah
56:09 this is what I talk about a lot yes here
56:13 are the things that I typically
56:15 demonstrate and I wait for people to
56:21 read it and then the final element there
56:24 is this is what we get out of it so
56:28 that's a sample of a contribution slide
56:31 all right now what about the other part
56:36 you know you get your final slide up
56:38 slide up there is a contribution slide
56:40 somehow you have to tell pee
56:42 or you're finished so let's say check
56:45 out a few possibilities one thing you
56:50 could do in the final words is you could
56:55 tell a joke it's okay by the time you're
57:03 done people have adjusted themselves
57:04 your voice parameters they're ready for
57:06 a joke I was sitting in another bar this
57:11 time in Austin Texas with a colleague of
57:13 mine named Doug Lynott and Doug's a
57:16 fantastic speaker and so I said to Doug
57:20 Doug you're a fantastic speaker what's
57:24 and he said oh I always finished with a
57:28 joke and that way people think they've
57:30 had fun the whole time so yeah a joke
57:36 will work down there how about this one
57:49 thank you I don't recommend it so we
57:56 move you will not go to hell if you
57:59 conclude your talk by saying thank you
58:01 but it's a weak move and here's why when
58:05 even worse thank you for listening it
58:08 suggests that everybody has stayed that
58:10 long out of politeness and that they had
58:13 a profound desire to be somewhere else
58:14 but they're so polite they stuck it out
58:16 and that's what you're thinking of
58:18 before so what's wild applause that
58:21 started you can mal thank you and it's
58:23 not there's nothing wrong with that the
58:25 last thing you do should not be saying
58:29 how do you say to me well doesn't
58:31 everybody say thank you
58:32 well what everybody does is not
58:34 necessarily the right thing and I like
58:38 to illustrate how some talks can end
58:40 without saying thank you I like to draw
58:42 from political speeches but the ones
58:45 that I've heard recently aren't so good
58:46 so I'm gonna have to go go back a little
58:53 bit so here's a Governor Christie he
58:57 gave the Republican keynote address one
59:02 year this is the end of his talk let's
59:08 and together everybody together we will
59:12 stand up once again for American
59:15 greatness for our children and
59:17 grandchildren god bless you and God
59:23 that's on a classic and addiction ending
59:26 god bless you bless america now I don't
59:31 want to be partisan about this so I
59:32 think I better switch to the keynote
59:35 address and the Democratic convention
59:37 I was delivered that year by by Bill
59:40 Clinton who knows something about how to
59:42 speak you believe you must vote and you
01:00:09 now watch this let's go back a little
01:00:12 bit and redo it what I want you to see
01:00:14 is that at one point is he would be
01:00:15 almost pressing his lips together
01:00:17 forcing himself not to say thank you and
01:00:20 then there's another place where he does
01:00:21 a little salute so much for those this
01:00:39 Ezra's person his lips where's the sweet
01:00:48 yeah I think that's pretty good now what
01:00:51 are we gonna take away from this well I
01:00:54 suppose I gave you clued this sock by
01:00:56 saying god bless you and God bless you
01:00:58 that it's the suit of technology but it
01:01:03 might not work so well but what you
01:01:05 can't get out is you don't have to say
01:01:06 thank you well there are other things
01:01:08 you can do and you know it's interesting
01:01:10 that over time people figure this out in
01:01:13 their some stock ways of ending things
01:01:14 so in the Catholic Church and they've
01:01:18 got a Latin Mass let it win it's a this
01:01:23 test which translates approximately to
01:01:30 the mass is over you can go home now and
01:01:34 of course at the musical concerts you
01:01:37 know that it's time to clap not at the
01:01:40 end of the song but rather when the
01:01:43 conductor goes over and shakes hands
01:01:45 with a concert master those are
01:01:47 conventions that tell you that that the
01:01:49 event is over so those are all
01:01:56 possibilities for here but there's one
01:01:58 more possibility and that is that you
01:02:00 can salute the audience and by that I
01:02:07 mean you could say something about how
01:02:10 much you value your time at a place so I
01:02:13 could say well it's been a big fun being
01:02:18 here it's been fascinating to see what
01:02:21 you folks are doing here at MIT I've
01:02:24 been what stimulated and provoked by the
01:02:27 kinds of questions you would ask us been
01:02:29 really great and and I look forward to
01:02:32 coming back many occasions in the future
01:02:34 so that salutes the audience you could
01:02:40 well there it is you know what I'm glad
01:02:46 and the reason is by being here I think
01:02:49 you have demonstrated an understanding
01:02:51 that how you present and how you package
01:02:54 your ideas as an important thing and I
01:02:56 salute you for that and I suggest that
01:03:01 you come back again and bring your