TED2006
Michael Shermer: Why people believe weird things
麥可‧薛莫-奇異的信念
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為什麼人們會看到聖母瑪利亞在三明治上，或是會聽到"天堂之梯"那有魔力的歌詞呢？利用影片跟音樂，懷疑論者協會理事長麥可‧薛莫告訴我們要如何說服自己去相信、細看事實。
Michael Shermer - Skeptic
Michael Shermer debunks myths, superstitions and urban legends -- and explains why we believe them. Along with publishing Skeptic Magazine, he's author of Why People Believe Weird Things and The Mind of the Market. Full bio
Michael Shermer debunks myths, superstitions and urban legends -- and explains why we believe them. Along with publishing Skeptic Magazine, he's author of Why People Believe Weird Things and The Mind of the Market. Full bio
Double-click the English transcript below to play the video.
00:24
I'm Michael Shermer,
director of the Skeptics Society,
director of the Skeptics Society,
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嗨！我是麥可‧薛莫，是懷疑論者協會理事長。
懷疑論者雜誌的發行人。
00:27
publisher of "Skeptic" magazine.
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我們調查聲稱超自然偽科學的現象，
00:28
We investigate claims of the paranormal,
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邊緣科學、邪教和種種主張 -
00:30
pseudo-science, fringe groups and cults,
and claims of all kinds between,
and claims of all kinds between,
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00:34
science and pseudo-science
and non-science and junk science,
and non-science and junk science,
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科學和偽科學和非科學和垃圾科學，
巫毒科學、病態科學、壞科學、非科學，
00:37
voodoo science, pathological science,
bad science, non-science,
bad science, non-science,
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00:40
and plain old non-sense.
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以及無稽之談。
00:42
And unless you've been on Mars recently,
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除非你最近去過火星，
00:44
you know there's a lot of that out there.
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你知道世上有許多這些東西，
00:46
Some people call us debunkers,
which is kind of a negative term.
which is kind of a negative term.
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所以，人人稱我們為拆穿者 雖然這稱呼有點負面。
00:49
But let's face it, there's a lot of bunk.
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但是，承認吧！確實有太多胡說八道了。
我們就像是警察局的詐騙小組進行掃除工作，
00:51
We are like the bunko squads
of the police departments out there --
of the police departments out there --
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00:55
well, we're sort of like
the Ralph Naders of bad ideas,
the Ralph Naders of bad ideas,
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我們就像是偵辦壞主意的拉爾夫納德檢察官。
00:58
(Laughter)
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(笑聲)
嘗試將壞主意換成好的。
01:00
trying to replace bad ideas
with good ideas.
with good ideas.
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01:02
I'll show you an example of a bad idea.
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讓我給你們看看壞主意長什麼樣子
01:04
I brought this with me,
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我帶來了這個
01:05
this was given to us
by NBC Dateline to test.
by NBC Dateline to test.
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NBC晨間節目把這個給我們做測試
01:09
It's produced by the Quadro
Corporation of West Virginia.
Corporation of West Virginia.
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由西維吉尼亞州的Quadro公司所製造，
稱為Quadro2000探測棒。
01:13
It's called the Quadro 2000 Dowser Rod.
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(笑聲)
01:16
(Laughter)
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01:17
This was being sold to high-school
administrators for $900 apiece.
administrators for $900 apiece.
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賣給高中職員 一個900塊美金
01:22
It's a piece of plastic with a Radio
Shack antenna attached to it.
Shack antenna attached to it.
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由一片塑膠連接RadioShack牌天線所組成。
你可以用它探測任何東西 但是這一款，是特別為
01:27
You could dowse for all sorts of things,
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01:29
but this particular one was built
to dowse for marijuana
to dowse for marijuana
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探測學生置物櫃裡的大麻所設計的。
01:32
in students' lockers.
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01:33
(Laughter)
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(笑聲)
使用方法是你走進走廊一路偵測，看天線是否
01:36
So the way it works
is you go down the hallway,
is you go down the hallway,
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01:39
and you see if it tilts
toward a particular locker,
toward a particular locker,
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會指向某個置物櫃，然後，你就可以打開來檢查。
01:42
and then you open the locker.
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所以，看起來就像這樣。
01:44
So it looks something like this.
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我秀給你們看。
01:45
I'll show you.
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01:48
(Laughter)
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(笑聲)
01:49
Well, it has kind of a right-leaning bias.
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不，噢！它似乎會偏右邊。
所以，嗯！這是科學，所以我們來做個核對實驗。
01:53
Well, this is science,
so we'll do a controlled experiment.
so we'll do a controlled experiment.
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從這邊走應該就會朝向這邊了。
01:56
It'll go this way for sure.
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(笑聲)
01:57
(Laughter)
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02:01
Sir, do you want to empty
your pockets, please, sir?
your pockets, please, sir?
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先生，可以請您掏出您的口袋嗎？先生。
(笑聲)
02:04
(Laughter)
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所以，問題是，這真的能找出學生置物櫃裡藏的大麻嗎？
02:06
So the question was, can it actually
find marijuana in students' lockers?
find marijuana in students' lockers?
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答案是，如果你開得夠多，就找得出來。
02:09
And the answer is,
if you open enough of them, yes.
if you open enough of them, yes.
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(笑聲)
02:12
(Laughter)
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(掌聲)
02:13
(Applause)
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02:14
But in science, we have to keep track
of the misses, not just the hits.
of the misses, not just the hits.
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但是，在科學上我們必須記錄那些不準的，不能只記準的。
這也許就是我這簡短演講的重點，那就是
02:18
And that's probably the key lesson
to my short talk here:
to my short talk here:
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02:21
This is how psychics work, astrologers,
tarot card readers and so on.
tarot card readers and so on.
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這就是通靈者占星家、塔羅牌師等等的運作原理。
人們會記住準的，忘記不準的。
02:25
People remember the hits
and forget the misses.
and forget the misses.
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在科學上，我們必須保存完整的資料。
02:27
In science, we keep the whole database,
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檢視準確的數據是否會明顯地
02:29
and look to see if the number
of hits somehow stands out
of hits somehow stands out
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從全部可預測的機率數字當中突顯出來。
02:32
from the total number
you'd expect by chance.
you'd expect by chance.
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在這個例子中，我們測試了這儀器。
02:34
In this case, we tested it.
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02:35
We had two opaque boxes:
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我們準備兩個不透光的箱子，
02:37
one with government-approved THC
marijuana, and one with nothing.
marijuana, and one with nothing.
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一個藏有政府認證含有四氫大麻酚的大麻，另一個是空的，
準確度是一半一半，
02:40
And it got it 50 percent of the time --
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02:42
(Laughter)
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跟你可預測的丟銅板的機率法則完全一樣。
02:43
which is exactly what you'd expect
with a coin-flip model.
with a coin-flip model.
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02:46
So that's just a fun little example
here of the sorts of things we do.
here of the sorts of things we do.
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所以，這只是個有趣的小例子告訴你我們，工作的性質。
懷疑論者雜誌是個季刊，
02:50
"Skeptic" is the quarterly publication.
Each one has a particular theme.
Each one has a particular theme.
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每季都有個主題，例如這一個是關於未來智慧的，
02:54
This one is on the future of intelligence.
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人是愈來愈聰明？還是愈來愈笨？
02:56
Are people getting smarter or dumber?
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因為工作的關係，我自己對這有個人的見解。
02:58
I have an opinion of this myself
because of the business I'm in,
because of the business I'm in,
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但事實上，結果顯示，人是愈來愈聰明的。
03:01
but in fact, people, it turns out,
are getting smarter.
are getting smarter.
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每十年提升3個IQ數值。
03:03
Three IQ points per 10 years, going up.
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03:06
Sort of an interesting thing.
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這點蠻有趣的。
03:08
With science, don't think of skepticism
as a thing, or science as a thing.
as a thing, or science as a thing.
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講科學不能把懷疑論或甚至是科學當作一樣東西。
像是在問科學和宗教可並立嗎？
03:12
Are science and religion compatible?
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03:13
It's like, are science
and plumbing compatible?
and plumbing compatible?
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像是在問科學與水電並立嗎？
這些它們其實就是兩種不同的東西。
03:16
They're just two different things.
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03:17
Science is not a thing. It's a verb.
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科學不是東西，而是動詞，
03:19
It's a way of thinking about things.
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是思考事物的方式。
03:21
It's a way of looking for natural
explanations for all phenomena.
explanations for all phenomena.
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是為所有現象尋找自然的解釋的方法。
我的意思是，
03:24
I mean, what's more likely:
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03:25
that extraterrestrial intelligences
or multi-dimensional beings
or multi-dimensional beings
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外星生物和多重次元的生靈橫跨
03:29
travel across vast distances
of interstellar space
of interstellar space
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星際空間浩瀚的距離，留下麥田圈，
03:31
to leave a crop circle in Farmer Bob's
field in Puckerbrush, Kansas
field in Puckerbrush, Kansas
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在堪薩斯州帕克布萊西的鮑伯農場上，宣傳我們的網站skeptic.com的可能性較大，
03:34
to promote skeptic.com, our web page?
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還是某懷疑論者雜誌的讀者利用Photoshop製作出來的可能性大呢？
03:36
Or is it more likely that a reader
of "Skeptic" did this with Photoshop?
of "Skeptic" did this with Photoshop?
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在所有這些案例裡頭，我們都必須問，
03:41
And in all cases we have to ask --
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(笑聲)
03:42
(Laughter)
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03:44
What's the more likely explanation?
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最有可能的解釋是什麼？
03:46
Before we say something
is out of this world,
is out of this world,
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在我們說有些東西來自外世界之前，
我們首先應該查明它並不存在於這個世界。
03:48
we should first make sure
that it's not in this world.
that it's not in this world.
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哪個可能性較高，
03:51
What's more likely:
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阿諾史瓦辛格有外星人幫忙競選州長呢？
03:52
that Arnold had extraterrestrial help
in his run for the governorship,
in his run for the governorship,
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或是世界新聞周刊捏造的呢？
03:56
or that the "World Weekly News"
makes stuff up?
makes stuff up?
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03:58
(Laughter)
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(笑聲)
其中同樣的主題，卻在辛尼海羅斯的卡通中，
04:00
The same theme is expressed nicely
here in this Sidney Harris cartoon.
here in this Sidney Harris cartoon.
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被詮釋得很不錯。
04:04
For those of you in the back,
it says here: "Then a miracle occurs.
it says here: "Then a miracle occurs.
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給坐在後排的觀眾，這上面說，"然後奇蹟發生，
04:08
I think you need to be more
explicit here in step two."
explicit here in step two."
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我覺得你應該把第二步驟說得更詳細一點。"
04:10
This single slide completely dismantles
the intelligent design arguments.
the intelligent design arguments.
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這一張投影片完全拆散了智慧設計論證。
再清楚也不過了。
04:15
There's nothing more to it than that.
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(掌聲)
04:17
(Applause)
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你可以說奇蹟發生。
04:18
You can say a miracle occurs,
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04:19
it's just that it doesn't explain
anything or offer anything.
anything or offer anything.
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只是這不能解釋任何事情。
不能提供什麼。沒有東西可以測試。
04:22
There's nothing to test.
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這是智慧設計創意工作者的談話終點。
04:23
It's the end of the conversation
for intelligent design creationists.
for intelligent design creationists.
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反之，確實科學家有時會丟出一些名詞當作
04:27
And it's true, scientists sometimes throw
terms out as linguistic place fillers --
terms out as linguistic place fillers --
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語言學的填空詞--黑暗能量或黑暗物質或其他類似的等等。
04:32
dark energy or dark matter,
something like that --
something like that --
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直到我們明白這是什麼之前，我們就暫時稱它為這個，
04:34
until we figure out what it is,
we'll call it this.
we'll call it this.
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對科學而言這是因果連結鏈的開始。
04:37
It's the beginning of the causal
chain for science.
chain for science.
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對智慧設計創意工作者而言，則是因果連結鏈的末端。
04:39
For intelligent design creationists,
it's the end of the chain.
it's the end of the chain.
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我們可以再次詢問，哪個可能性較高，
04:43
So again, we can ask this:
what's more likely?
what's more likely?
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幽浮比較可能是外星人的太空船或是感官認知的錯誤或甚至是假的。
04:46
Are UFOs alien spaceships, or perceptual
cognitive mistakes, or even fakes?
cognitive mistakes, or even fakes?
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04:50
This is a UFO shot from my house
in Altadena, California,
in Altadena, California,
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這是我從加州猶它旦市家中拍到的幽浮照片，
04:53
looking down over Pasadena.
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向下俯瞰帕薩迪納市。
04:55
And if it looks a lot like a Buick
hubcap, it's because it is.
hubcap, it's because it is.
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如果這看起來像別克汽車的輪蓋，那是因為它根本就是。
04:59
You don't even need Photoshop
or high-tech equipment,
or high-tech equipment,
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你甚至不需要Photoshop，不需要高科技器材，
你不需要電腦，
05:02
you don't need computers.
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05:03
This was shot with a throwaway
Kodak Instamatic camera.
Kodak Instamatic camera.
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這是用柯達Instamatic拋棄型相機拍的。
05:06
You just have somebody off on the side
with a hubcap ready to go.
with a hubcap ready to go.
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你只需要有人在旁邊準備擲出輪蓋就可以了。
相機準備好--就這麼簡單。
05:09
Camera's ready -- that's it.
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(笑聲)
05:11
(Laughter)
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雖然，大部份這些東西都有可能是假的，
05:13
So, although it's possible
that most of these things are fake
that most of these things are fake
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05:16
or illusions or so on,
and that some of them are real,
and that some of them are real,
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或是幻象等等，但有些是真的。
更有可能全部都是假的，就像麥田圈一樣。
05:20
it's more likely that all of them
are fake, like the crop circles.
are fake, like the crop circles.
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說正經的，在所有科學裡，我們都在尋找一種平衡，
05:23
On a more serious note, in all of science
we're looking for a balance
we're looking for a balance
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介於數據與理論之間。
05:27
between data and theory.
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05:28
In the case of Galileo,
he had two problems
he had two problems
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以伽利略來說，他有兩個困難，
05:32
when he turned his telescope to Saturn.
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當他用望遠鏡觀察土星時，
首先，那時沒有行星環的理論，
05:35
First of all, there was no
theory of planetary rings.
theory of planetary rings.
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第二，他的數據是粗糙模糊的，
05:38
Second of all, his data
was grainy and fuzzy,
was grainy and fuzzy,
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而且，他並不太了解自己正在看的是什麼，
05:40
and he couldn't quite make out
what he was looking at.
what he was looking at.
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所以他就寫下他看到了。
05:43
So he wrote that he had seen --
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05:44
"I have observed that the furthest
planet has three bodies."
planet has three bodies."
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"我觀察到最遠的星球有三個形體"。
而這是他最後對自己的觀察所做的結論。
05:48
And this is what he ended up
concluding that he saw.
concluding that he saw.
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沒有行星環的理論且憑靠粗糙的資料，
05:51
So without a theory of planetary
rings and with only grainy data,
rings and with only grainy data,
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05:54
you can't have a good theory.
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你不可能建構很好的理論。
05:56
It wasn't solved until 1655.
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一直到1655年才得到解答，
05:58
This is Christiaan Huygens's book
that catalogs all the mistakes
that catalogs all the mistakes
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惠更斯的書中記載了所有人在嘗試了解，
06:01
people made trying to figure out
what was going on with Saturn.
what was going on with Saturn.
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土星時所犯的錯誤。
但是一直到惠更斯有了兩樣東西，
06:04
It wasn't till Huygens had two things:
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好的行星環理論和了解太陽系如何運轉。
06:06
He had a good theory of planetary rings
and how the solar system operated,
and how the solar system operated,
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06:10
and he had better telescopic,
more fine-grain data
more fine-grain data
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而且，當時他有更好的望遠鏡及更細微的數據，
06:13
in which he could figure out that
as the Earth is going around faster --
as the Earth is going around faster --
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從中他了解到當地球轉得比土星更快速，
根據克卜勒三大定律，然後我們會追上它。
06:17
according to Kepler's Laws --
than Saturn, then we catch up with it.
than Saturn, then we catch up with it.
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我們從不同的角度，看見行星環不同的角度。
06:20
And we see the angles of the rings
at different angles, there.
at different angles, there.
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06:23
And that, in fact, turns out to be true.
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而事實上，結果真是如此。
有理論的問題是，
06:26
The problem with having a theory is that
it may be loaded with cognitive biases.
it may be loaded with cognitive biases.
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你的理論可能會充滿認知偏見。
所以，要解釋人為何會相信奇異現象的困難之一，
06:31
So one of the problems of explaining
why people believe weird things
why people believe weird things
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就是我們會簡化事物。
06:34
is that we have things, on a simple level,
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然後，我之後會再說比較多的例子。
06:36
and then I'll go to more serious ones.
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例如，我們會傾向看見臉孔，
06:38
Like, we have a tendency to see faces.
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這些是在火星上的臉，
06:40
This is the face on Mars.
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1976年有很多運動要求美國太空總署
06:42
In 1976, where there was a whole movement
to get NASA to photograph that area
to get NASA to photograph that area
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為這些地區拍攝照片，因為人們認為
06:46
because people thought this was monumental
architecture made by Martians.
architecture made by Martians.
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這些是火星人蓋的紀念建築。
後來發現這是2001年所拍攝的近照。
06:50
Here's the close-up of it from 2001.
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06:53
If you squint, you can still see the face.
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如果你斜視仍可以看見臉，
當你斜視時，你就是在
06:56
And when you're squinting,
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06:57
you're turning that from fine-grain
to coarse-grain,
to coarse-grain,
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將影像從微粒變成粗粒的。
也就是說你在降低資料的品質。
07:00
so you're reducing
the quality of your data.
the quality of your data.
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如果我不告訴你，該看什麼，你還是會看見臉孔，
07:02
And if I didn't tell you what to look for,
you'd still see the face,
you'd still see the face,
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因為進化將我們設計成，會看見臉孔的生物。
07:05
because we're programmed
by evolution to see faces.
by evolution to see faces.
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在社交上，臉孔對我們很重要，
07:08
Faces are important for us socially.
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當然還有笑臉，
07:10
And of course, happy faces,
faces of all kinds are easy to see.
faces of all kinds are easy to see.
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各種臉孔都很容易被看見。
(笑聲)
07:14
You see the happy face on Mars, there.
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你可以看見火星上的笑臉在上面。
07:16
(Laughter)
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如果天文學家是青蛙的話，那麼他們可能就會看見芝麻街的青蛙柯密特。
07:17
If astronomers were frogs,
perhaps they'd see Kermit the Frog.
perhaps they'd see Kermit the Frog.
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看見了嗎？
07:20
Do you see him there? Little froggy legs.
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小小的青蛙腳。
07:22
Or if geologists were elephants?
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或是如果考古學家是大象呢？
07:25
Religious iconography.
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宗教肖像。
07:28
(Laughter)
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(笑聲)
1996年由田納西的一位麵包師傅所發現，
07:31
Discovered by a Tennessee baker in 1996.
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07:33
He charged five bucks a head
to come see the nun bun
to come see the nun bun
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他收一個人頭五塊錢來讓人看這塊修女麵包，
直到他收到特瑞莎修女的律師寄來的禁止通知函為止。
07:36
till he got a cease-and-desist
from Mother Teresa's lawyer.
from Mother Teresa's lawyer.
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這是在下一條街的瓜達露珮聖母和華森維爾聖母。
07:40
Here's Our Lady of Guadalupe and Our
Lady of Watsonville, just down the street,
Lady of Watsonville, just down the street,
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07:43
or is it up the street from here?
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或是從這裡過去的上一條街？
07:45
Tree bark is particularly good
because it's nice and grainy, branchy,
because it's nice and grainy, branchy,
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樹皮的效果特別好，因為粗糙且枝繁，
07:48
black-and-white splotchy and you can
get the pattern-seeking --
get the pattern-seeking --
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黑白有汙點，然後你就可以尋找圖樣，
人類是圖樣找尋的動物。
07:51
humans are pattern-seeking animals.
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07:53
Here's the Virgin Mary on the side
of a glass window in Sao Paulo.
of a glass window in Sao Paulo.
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這是在聖保羅一個玻璃窗邊上的聖母瑪利亞。
而這是聖母瑪利亞顯靈在起司三明治上，
07:57
Here's when the Virgin Mary made
her appearance on a cheese sandwich --
her appearance on a cheese sandwich --
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實際上我在拉斯維加斯賭場親手拿過。
08:00
which I got to actually
hold in a Las Vegas casino --
hold in a Las Vegas casino --
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當然因為這裡是美國。
08:03
of course, this being America.
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(笑聲)
08:04
(Laughter)
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08:06
This casino paid $28,500
on eBay for the cheese sandwich.
on eBay for the cheese sandwich.
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這間賭場在eBay上花了28500美金買下這起司三明治。
08:10
(Laughter)
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(笑聲)
08:12
But who does it really look like?
The Virgin Mary?
The Virgin Mary?
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但是這到底看起來像誰呢？聖母瑪利亞嗎？
(笑聲)
08:15
(Laughter)
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有那種40年代噘嘴的樣子，
08:17
It has that sort of
puckered lips, 1940s-era look.
puckered lips, 1940s-era look.
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聖母瑪利亞在佛羅里達州的清水市。
08:21
Virgin Mary in Clearwater, Florida.
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08:22
I actually went to see this one.
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我實際去看過這個。
08:24
There was a lot of people there.
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那裡聚集了許多人--虔誠的信徒來到這裡，
08:26
The faithful come in their wheelchairs
and crutches, and so on.
and crutches, and so on.
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有坐輪椅的、有撐拐的等等，
我們到那裡去做了調查。
08:31
We went down and investigated.
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順便讓你知道，我們的人力，那是道金斯、我和令人驚奇的瑞迪。
08:33
Just to give you a size, that's Dawkins,
me and The Amazing Randi,
me and The Amazing Randi,
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在兩個兩個半層樓高的影像旁邊，
08:36
next to this two,
two and a half story-sized image.
two and a half story-sized image.
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所有的蠟燭人們，點燃成千上萬的蠟燭來讚頌這景象。
08:38
All these candles, thousands of candles
people had lit in tribute to this.
people had lit in tribute to this.
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所以我們就繞到背後去看看，這到底是怎麼回事。
08:42
So we walked around the backside,
to see what was going on.
to see what was going on.
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結果發現只要有灑水噴頭和棕櫚樹的地方，
08:45
It turns out wherever there's
a sprinkler head and a palm tree,
a sprinkler head and a palm tree,
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你就會看到這樣的效果。
08:48
you get the effect.
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08:49
Here's the Virgin Mary on the backside,
which they started to wipe off.
which they started to wipe off.
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這就是在後面，他們已經開始在擦拭的聖母瑪利亞。
我想一棟建築物頂多只能有一個奇蹟吧！
08:53
I guess you can only have
one miracle per building.
one miracle per building.
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08:55
(Laughter)
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(笑聲)
這到底是聖母瑪利亞的奇蹟？還是瑪姬的奇蹟？
08:59
So is it really a miracle of Mary,
or is it a miracle of Marge?
or is it a miracle of Marge?
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(笑聲)
09:02
(Laughter)
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1001
接下來我想要以另一個類似的例子來作為結束，
09:03
And now I'm going to finish up
with another example of this,
with another example of this,
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用聽--聽覺幻象。
09:07
with auditory illusions.
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有部電影叫鬼訊號，
09:10
There's this film, "White Noise,"
with Michael Keaton,
with Michael Keaton,
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由麥可基頓主演，關於亡者回應我們的話。
09:12
about the dead talking back to us.
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順便說一下，跟亡者說話並沒有什麼了不起，
09:15
By the way, the whole business of talking
to the dead is not that big a deal.
to the dead is not that big a deal.
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結論是任何人都做得到。
09:19
Anybody can do it, turns out.
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叫亡者回應我們的話，才是真正難的地方。
09:20
It's getting the dead to talk
back that's the really hard part.
back that's the really hard part.
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(笑聲)
09:23
(Laughter)
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這個例子，在電子現象當中藏有一些訊息，
09:24
In this case, supposedly, these messages
are hidden in electronic phenomena.
are hidden in electronic phenomena.
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09:28
There's a ReverseSpeech.com web page
where I downloaded this stuff.
where I downloaded this stuff.
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我從ReverseSpeech.com的網站上下載了這個，
這是向前轉的，也是最有名的一段。
09:31
This is the most famous one
of all of these.
of all of these.
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這是這首非常有名的歌曲的正常版本。
09:35
Here's the forward version
of the very famous song.
of the very famous song.
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09:37
(Music with lyrics)
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09:39
If there's a bustle in your hedgerow
don't be alarmed now.
don't be alarmed now.
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09:44
It's just a spring clean
for the May Queen.
for the May Queen.
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09:50
Yes, there are two paths you
can go by, but in the long run,
can go by, but in the long run,
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09:56
There's still time to change
the road you're on
the road you're on
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天啊！這音樂可以讓人聽一整天。
10:03
Couldn't you just listen to that all day?
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(笑聲)
好的，接下來是倒轉的版本。
10:06
All right, here it is backwards,
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10:07
and see if you can hear the hidden
messages that are supposedly in there.
messages that are supposedly in there.
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看看你是否聽得出裡面應該藏有的訊息。
10:12
(Music with unintelligible lyrics)
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10:26
(Lyrics) Satan!
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10:27
(Unintelligible lyrics continue)
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你聽到了什麼？
10:41
What did you get?
Audience: Satan!
Audience: Satan!
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(聽眾：撒旦)
10:43
Satan. OK, at least we got "Satan".
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麥可‧薛莫：撒旦，好，至少我們聽出了撒旦。
10:45
Now, I'll prime the auditory
part of your brain
part of your brain
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現在我將先替你頭腦的聽力部分做準備，
10:47
to tell you what you're supposed
to hear, and then hear it again.
to hear, and then hear it again.
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告訴你，應該聽見的內容然後再聽一遍。
10:50
(Music with lyrics)
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11:17
(Music ends)
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(笑聲)
11:18
(Laughter)
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(掌聲)
11:19
(Applause)
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我告訴你那裡有什麼之後，你就不可能會錯過。
11:26
You can't miss it
when I tell you what's there.
when I tell you what's there.
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11:28
(Laughter)
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(笑聲)
好，最後我將以一個正面溫馨的小故事做為結束。
11:32
I'm going to just end
with a positive, nice little story.
with a positive, nice little story.
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關於懷疑論者協會是非營利的教育組織。
11:36
The Skeptics is a nonprofit
educational organization.
educational organization.
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我們總是在尋找人們所做的小小的好事。
11:39
We're always looking for little
good things that people do.
good things that people do.
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在英國有個流行歌手，
11:41
And in England, there's a pop singer.
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是當下英國最頂尖的流行歌手凱特瑪露。
11:43
One of the top popular singers
in England today, Katie Melua.
in England today, Katie Melua.
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她寫了一首很美的歌。
11:47
And she wrote a beautiful song.
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2005年排名前五名歌名，叫做"北京有九百萬輛腳踏車"。
11:49
It was in the top five in 2005, called,
"Nine Million Bicycles in Beijing."
"Nine Million Bicycles in Beijing."
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11:54
It's a love story -- she's sort
of the Norah Jones of the UK --
of the Norah Jones of the UK --
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描寫一個愛情故事--她就像是英國的諾拉瓊絲。
關於她有多愛她的男人，
11:57
about how she much loves her guy,
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11:59
and compared to nine million
bicycles, and so forth.
bicycles, and so forth.
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與九百萬輛腳踏車做比較等等。
其中有一段歌詞
12:02
And she has this one passage here.
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12:04
(Music)
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♫我們距離宇宙邊緣120億 光年♫
12:05
(Lyrics) We are 12 billion
light-years from the edge
light-years from the edge
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♫這是個猜想♫
12:11
That's a guess,
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♫從沒有人能說這是真的♫
12:13
No one can ever say it's true,
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♫但我確切知道我會永遠伴著你♫
12:17
But I know that I will always be with you.
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這很動人。
12:22
Michael Shermer: Well, that's nice.
At least she got it close.
At least she got it close.
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至少她猜得很接近。
在美國，就會變成，"我們距離宇宙邊緣6000光年"。
12:25
In America it'd be,
"We're 6,000 light years from the edge."
"We're 6,000 light years from the edge."
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(笑聲)
12:28
(Laughter)
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但是，我的朋友賽門辛是粒子物理學家，現在成了科學教育家。
12:29
But my friend, Simon Singh, the particle
physicist now turned science educator,
physicist now turned science educator,
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寫了"大爆炸"這本書以及其他等等。
12:33
who wrote the book
"The Big Bang," and so on,
"The Big Bang," and so on,
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他總是抓住每個可以宣導好科學的機會，
12:35
uses every chance he gets
to promote good science.
to promote good science.
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於是，他就在衞報上寫了一篇專欄關於凱特的歌。
12:37
And so he wrote an op-ed piece
in "The Guardian" about Katie's song,
in "The Guardian" about Katie's song,
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當中，他指出我們確切知道宇宙邊緣有多老及離我們多遠，
12:41
in which he said, well, we know exactly
how far from the edge.
how far from the edge.
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就是12--137億光年，不是用猜的。
12:46
You know, it's 13.7 billion light years,
and it's not a guess.
and it's not a guess.
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我們知道在精準的誤差槓之內，宇宙邊緣離我們多近。
12:50
We know within precise
error bars how close it is.
error bars how close it is.
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所以，我們可以說，雖然不是絕對正確但已非常接近。
12:54
So we can say, although not absolutely
true, it's pretty close to being true.
true, it's pretty close to being true.
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為了讚揚他，凱特在專欄上報之後打電話給他，
12:58
And, to his credit, Katie called him up
after this op-ed piece came out, and said,
after this op-ed piece came out, and said,
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然後說："我真是慚愧。
13:02
"I'm so embarrassed.
I was in the astronomy club.
I was in the astronomy club.
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我曾經是天文學社團的團員，我應該最清楚不過了。"
13:05
I should've known better."
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1278
所以她就重錄了這一段。
13:06
And she re-cut the song.
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而我也將以這新版本結束這演講。
13:07
So I will end with the new version.
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♫我們距離可觀察的宇宙邊緣♫
13:09
(Music with lyrics)
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13:11
We are 13.7 billion light years
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♫137億光年 ♫
13:13
from the edge of the observable universe.
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♫這是在精密誤差槓內產出的可靠估計♫
13:17
That's a good estimate
with well-defined error bars.
with well-defined error bars.
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♫從佐證的資料中♫
13:20
And with the available information,
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♫我可預測我將會永遠伴著你♫
13:24
I predict that I will always be with you.
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(掌聲)
13:28
(Laughter)
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很酷吧！
13:29
How cool is that?
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(掌聲)
13:30
(Applause)
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ABOUT THE SPEAKER
Michael Shermer - SkepticMichael Shermer debunks myths, superstitions and urban legends -- and explains why we believe them. Along with publishing Skeptic Magazine, he's author of Why People Believe Weird Things and The Mind of the Market.
Why you should listen
As founder and publisher of Skeptic Magazine, Michael Shermer has exposed fallacies behind intelligent design, 9/11 conspiracies, the low-carb craze, alien sightings and other popular beliefs and paranoias. But it's not about debunking for debunking's sake. Shermer defends the notion that we can understand our world better only by matching good theory with good science.
Shermer's work offers cognitive context for our often misguided beliefs: In the absence of sound science, incomplete information can powerfully combine with the power of suggestion (helping us hear Satanic lyrics when "Stairway to Heaven" plays backwards, for example). In fact, a common thread that runs through beliefs of all sorts, he says, is our tendency to convince ourselves: We overvalue the shreds of evidence that support our preferred outcome, and ignore the facts we aren't looking for.
He writes a monthly column for Scientific American, and is an adjunct at Claremont Graduate University and Chapman University. His latest book is The Believing Brain: From Ghosts and Gods to Politics and Conspiracies—How We Construct Beliefs and Reinforce Them as Truths. He is also the author of The Mind of the Market, on evolutionary economics, Why Darwin Matters: Evolution and the Case Against Intelligent Design, and The Science of Good and Evil. And his next book is titled The Moral Arc of Science.
Michael Shermer | Speaker | TED.com