Why people believe weird things | Michael Shermer

3,019,126 views ・ 2008-04-15

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譯者: Dxm Online大小媒體 審譯者: Coco Shen
00:25
I'm Michael Shermer, 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。
00:27
publisher of "Skeptic" magazine.
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懷疑論者雜誌的發行人。
00:29
We investigate claims of the paranormal,
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我們調查聲稱超自然偽科學的現象,
00:31
pseudo-science, fringe groups and cults, and claims of all kinds between,
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邊緣科學、邪教和種種主張 -
00:34
science and pseudo-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,
00:37
voodoo science, pathological science, bad science, non-science,
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巫毒科學、病態科學、壞科學、非科學,
00:41
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.
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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。
00:52
We are like the bunko squads of the police departments out there --
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我們就像是警察局的詐騙小組進行掃除工作,
00:55
well, we're sort of like 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。
00:59
(Laughter)
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(笑聲)
01:00
trying to replace bad ideas with good ideas.
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嘗試將壞主意換成好的。
01:03
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
01:06
this was given to us by NBC Dateline to test.
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NBC晨間節目把這個給我們做測試
01:10
It's produced by the Quadro Corporation of West Virginia.
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由西維吉尼亞州的Quadro公司所製造,
01:13
It's called the Quadro 2000 Dowser Rod.
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稱為Quadro2000探測棒。
01:16
(Laughter)
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(笑聲)
01:17
This was being sold to high-school administrators for $900 apiece.
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賣給高中職員 一個900塊美金
01:23
It's a piece of plastic with a Radio Shack antenna attached to it.
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由一片塑膠連接RadioShack牌天線所組成。
01:27
You could dowse for all sorts of things,
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你可以用它探測任何東西 但是這一款,是特別為
01:29
but this particular one was built 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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01:34
(Laughter)
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(笑聲)
01:36
So the way it works is you go down the hallway,
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使用方法是你走進走廊一路偵測,看天線是否
01:40
and you see if it tilts 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。
01:43
and then you open the locker.
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01:44
So it looks something like this.
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所以,看起來就像這樣。
01:46
I'll show you.
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我秀給你們看。
01:48
(Laughter)
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(笑聲)
01:50
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.
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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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01:57
(Laughter)
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(笑聲)
02:01
Sir, do you want to empty your pockets, please, sir?
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先生,可以請您掏出您的口袋嗎?先生。
02:04
(Laughter)
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(笑聲)
02:06
So the question was, can it actually find marijuana in students' lockers?
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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?
02:09
And the answer is, if you open enough of them, yes.
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答案是,如果你開得夠多,就找得出來。
02:12
(Laughter)
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(笑聲)
02:13
(Applause)
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(掌聲)
02:15
But in science, we have to keep track 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。
02:18
And that's probably the key lesson to my short talk here:
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這也許就是我這簡短演講的重點,那就是
02:21
This is how psychics work, astrologers, 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。
02:25
People remember the hits and forget the misses.
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人們會記住準的,忘記不準的。
02:27
In science, we keep the whole database,
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在科學上,我們必須保存完整的資料。
02:29
and look to see if the number of hits somehow stands out
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檢視準確的數據是否會明顯地
02:32
from the total number you'd expect by chance.
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從全部可預測的機率數字當中突顯出來。
02:34
In this case, we tested it.
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在這個例子中,我們測試了這儀器。
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.
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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,
02:41
And it got it 50 percent of the time --
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準確度是一半一半,
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。
02:44
which is exactly what you'd expect with a coin-flip model.
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02:47
So that's just a fun little example 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,
02:51
"Skeptic" is the quarterly publication. 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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02:56
Are people getting smarter or dumber?
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人是愈來愈聰明?還是愈來愈笨?
02:58
I have an opinion of this myself because of the business I'm in,
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因為工作的關係,我自己對這有個人的見解。
03:01
but in fact, people, it turns out, are getting smarter.
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但事實上,結果顯示,人是愈來愈聰明的。
每十年提升3個IQ數值。
03:04
Three IQ points per 10 years, going up.
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03:07
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.
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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。
03:12
Are science and religion compatible?
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像是在問科學和宗教可並立嗎?
03:14
It's like, are science and plumbing compatible?
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像是在問科學與水電並立嗎?
03:16
They're just two different things.
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這些它們其實就是兩種不同的東西。
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.
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是為所有現象尋找自然的解釋的方法。
03:24
I mean, what's more likely:
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我的意思是,
03:25
that extraterrestrial intelligences 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
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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
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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,
03:35
to promote skeptic.com, our web page?
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03:36
Or is it more likely that a reader of "Skeptic" did this with Photoshop?
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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?
03:41
And in all cases we have to ask --
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在所有這些案例裡頭,我們都必須問,
03:43
(Laughter)
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(笑聲)
03:44
What's the more likely explanation?
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最有可能的解釋是什麼?
03:47
Before we say something is out of this world,
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在我們說有些東西來自外世界之前,
03:49
we should first make sure that it's not in this world.
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我們首先應該查明它並不存在於這個世界。
03:51
What's more likely:
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哪個可能性較高,
03:53
that Arnold had extraterrestrial help in his run for the governorship,
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阿諾史瓦辛格有外星人幫忙競選州長呢?
03:56
or that the "World Weekly News" makes stuff up?
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或是世界新聞周刊捏造的呢?
03:58
(Laughter)
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(笑聲)
04:00
The same theme is expressed nicely here in this Sidney Harris cartoon.
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其中同樣的主題,卻在辛尼海羅斯的卡通中,
被詮釋得很不錯。
04:05
For those of you in the back, 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."
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我覺得你應該把第二步驟說得更詳細一點。"
04:11
This single slide completely dismantles 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。
04:15
There's nothing more to it than that.
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再清楚也不過了。
04:17
(Applause)
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(掌聲)
04:18
You can say a miracle occurs,
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你可以說奇蹟發生。
04:19
it's just that it doesn't explain anything or offer anything.
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只是這不能解釋任何事情。
04:22
There's nothing to test.
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不能提供什麼。沒有東西可以測試。
04:24
It's the end of the conversation for intelligent design creationists.
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這是智慧設計創意工作者的談話終點。
04:27
And it's true, scientists sometimes throw terms out as linguistic place fillers --
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反之,確實科學家有時會丟出一些名詞當作
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 --
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04:34
until we figure out what it is, we'll call it this.
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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,
04:37
It's the beginning of the causal chain for science.
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對科學而言這是因果連結鏈的開始。
對智慧設計創意工作者而言,則是因果連結鏈的末端。
04:40
For intelligent design creationists, 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,
04:44
So again, we can ask this: what's more likely?
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04:46
Are UFOs alien spaceships, or perceptual cognitive mistakes, or even fakes?
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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。
04:50
This is a UFO shot from my house 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,
04:54
looking down over Pasadena.
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向下俯瞰帕薩迪納市。
04:56
And if it looks a lot like a Buick 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,
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你甚至不需要Photoshop,不需要高科技器材,
05:02
you don't need computers.
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你不需要電腦,
05:03
This was shot with a throwaway Kodak Instamatic camera.
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這是用柯達Instamatic拋棄型相機拍的。
05:07
You just have somebody off on the side 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。
05:10
Camera's ready -- that's it.
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相機準備好--就這麼簡單。
05:12
(Laughter)
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(笑聲)
05:13
So, although it's possible that most of these things are fake
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雖然,大部份這些東西都有可能是假的,
05:17
or illusions or so on, and that some of them are real,
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或是幻象等等,但有些是真的。
05:20
it's more likely that all of them are fake, like the crop circles.
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更有可能全部都是假的,就像麥田圈一樣。
05:23
On a more serious note, in all of science we're looking for a balance
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說正經的,在所有科學裡,我們都在尋找一種平衡,
05:27
between data and theory.
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介於數據與理論之間。
05:29
In the case of Galileo, he had two problems
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以伽利略來說,他有兩個困難,
05:33
when he turned his telescope to Saturn.
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當他用望遠鏡觀察土星時,
05:35
First of all, there was no theory of planetary rings.
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首先,那時沒有行星環的理論,
05:38
Second of all, his data was grainy and fuzzy,
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第二,他的數據是粗糙模糊的,
05:40
and he couldn't quite make out what he was looking at.
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而且,他並不太了解自己正在看的是什麼,
05:43
So he wrote that he had seen --
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所以他就寫下他看到了。
05:45
"I have observed that the furthest planet has three bodies."
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"我觀察到最遠的星球有三個形體"。
05:48
And this is what he ended up concluding that he saw.
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而這是他最後對自己的觀察所做的結論。
05:51
So without a theory of planetary rings and with only grainy data,
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沒有行星環的理論且憑靠粗糙的資料,
05:55
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
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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.
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土星時所犯的錯誤。
06:04
It wasn't till Huygens had two things:
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但是一直到惠更斯有了兩樣東西,
06:06
He had a good theory of planetary rings and how the solar system operated,
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好的行星環理論和了解太陽系如何運轉。
06:10
and he had better telescopic, 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 --
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從中他了解到當地球轉得比土星更快速,
06:17
according to Kepler's Laws -- than Saturn, then we catch up with it.
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根據克卜勒三大定律,然後我們會追上它。
06:20
And we see the angles of the rings at different angles, there.
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我們從不同的角度,看見行星環不同的角度。
06:24
And that, in fact, turns out to be true.
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而事實上,結果真是如此。
06:26
The problem with having a theory is that it may be loaded with cognitive biases.
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有理論的問題是,
你的理論可能會充滿認知偏見。
06:31
So one of the problems of explaining why people believe weird things
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所以,要解釋人為何會相信奇異現象的困難之一,
06:34
is that we have things, on a simple level,
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就是我們會簡化事物。
06:36
and then I'll go to more serious ones.
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然後,我之後會再說比較多的例子。
06:38
Like, we have a tendency to see faces.
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例如,我們會傾向看見臉孔,
06:40
This is the face on Mars.
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這些是在火星上的臉,
06:42
In 1976, where there was a whole movement to get NASA to photograph that area
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1976年有很多運動要求美國太空總署
為這些地區拍攝照片,因為人們認為
06:47
because people thought this was monumental architecture made by Martians.
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這些是火星人蓋的紀念建築。
06:50
Here's the close-up of it from 2001.
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後來發現這是2001年所拍攝的近照。
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,
06:56
And when you're squinting,
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當你斜視時,你就是在
06:57
you're turning that from fine-grain to coarse-grain,
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將影像從微粒變成粗粒的。
07:00
so you're reducing the quality of your data.
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也就是說你在降低資料的品質。
07:02
And if I didn't tell you what to look for, you'd still see the face,
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如果我不告訴你,該看什麼,你還是會看見臉孔,
07:06
because we're programmed by evolution to see faces.
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因為進化將我們設計成,會看見臉孔的生物。
07:08
Faces are important for us socially.
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在社交上,臉孔對我們很重要,
07:10
And of course, happy faces, faces of all kinds are easy to see.
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當然還有笑臉,
各種臉孔都很容易被看見。
07:14
You see the happy face on Mars, there.
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(笑聲)
你可以看見火星上的笑臉在上面。
07:16
(Laughter)
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07:17
If astronomers were frogs, perhaps they'd see Kermit the Frog.
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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。
07:20
Do you see him there? Little froggy legs.
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看見了嗎?
07:22
Or if geologists were elephants?
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小小的青蛙腳。
或是如果考古學家是大象呢?
07:25
Religious iconography.
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宗教肖像。
07:29
(Laughter)
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(笑聲)
07:31
Discovered by a Tennessee baker in 1996.
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1996年由田納西的一位麵包師傅所發現,
07:34
He charged five bucks a head 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,
07:36
till he got a cease-and-desist from Mother Teresa's lawyer.
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直到他收到特瑞莎修女的律師寄來的禁止通知函為止。
07:40
Here's Our Lady of Guadalupe and Our Lady of Watsonville, just down the street,
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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。
07:44
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,
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樹皮的效果特別好,因為粗糙且枝繁,
07:49
black-and-white splotchy and you can get the pattern-seeking --
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黑白有汙點,然後你就可以尋找圖樣,
07:52
humans are pattern-seeking animals.
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人類是圖樣找尋的動物。
07:54
Here's the Virgin Mary on the side 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。
07:57
Here's when the Virgin Mary made her appearance on a cheese sandwich --
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而這是聖母瑪利亞顯靈在起司三明治上,
實際上我在拉斯維加斯賭場親手拿過。
08:01
which I got to actually hold in a Las Vegas casino --
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08:03
of course, this being America.
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當然因為這裡是美國。
08:05
(Laughter)
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(笑聲)
08:06
This casino paid $28,500 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。
08:11
(Laughter)
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(笑聲)
08:13
But who does it really look like? The Virgin Mary?
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但是這到底看起來像誰呢?聖母瑪利亞嗎?
08:15
(Laughter)
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(笑聲)
08:17
It has that sort of puckered lips, 1940s-era look.
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有那種40年代噘嘴的樣子,
08:21
Virgin Mary in Clearwater, Florida.
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聖母瑪利亞在佛羅里達州的清水市。
08:23
I actually went to see this one.
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我實際去看過這個。
08:25
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.
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有坐輪椅的、有撐拐的等等,
08:31
We went down and investigated.
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我們到那裡去做了調查。
08:33
Just to give you a size, that's Dawkins, me and The Amazing Randi,
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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。
08:36
next to this two, two and a half story-sized image.
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在兩個兩個半層樓高的影像旁邊,
08:39
All these candles, thousands of candles people had lit in tribute to this.
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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。
08:42
So we walked around the backside, to see what was going on.
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所以我們就繞到背後去看看,這到底是怎麼回事。
08:45
It turns out wherever there's a sprinkler head and a palm tree,
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結果發現只要有灑水噴頭和棕櫚樹的地方,
08:48
you get the effect.
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你就會看到這樣的效果。
08:50
Here's the Virgin Mary on the backside, 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。
08:53
I guess you can only have one miracle per building.
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我想一棟建築物頂多只能有一個奇蹟吧!
08:56
(Laughter)
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(笑聲)
08:59
So is it really a miracle of Mary, or is it a miracle of Marge?
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這到底是聖母瑪利亞的奇蹟?還是瑪姬的奇蹟?
09:03
(Laughter)
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(笑聲)
09:04
And now I'm going to finish up with another example of this,
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接下來我想要以另一個類似的例子來作為結束,
09:07
with auditory illusions.
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用聽--聽覺幻象。
09:10
There's this film, "White Noise," with Michael Keaton,
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有部電影叫鬼訊號,
由麥可基頓主演,關於亡者回應我們的話。
09:13
about the dead talking back to us.
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09:15
By the way, the whole business of talking to the dead is not that big a deal.
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順便說一下,跟亡者說話並沒有什麼了不起,
結論是任何人都做得到。
09:19
Anybody can do it, turns out.
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09:20
It's getting the dead to talk back that's the really hard part.
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叫亡者回應我們的話,才是真正難的地方。
(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,
09:25
In this case, supposedly, these messages are hidden in electronic phenomena.
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09:28
There's a ReverseSpeech.com web page where I downloaded this stuff.
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我從ReverseSpeech.com的網站上下載了這個,
09:32
This is the most famous one of all of these.
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這是向前轉的,也是最有名的一段。
09:35
Here's the forward version of the very famous song.
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這是這首非常有名的歌曲的正常版本。
09:38
(Music with lyrics)
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09:39
If there's a bustle in your hedgerow don't be alarmed now.
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09:45
It's just a spring clean for the May Queen.
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09:50
Yes, there are two paths you 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.
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10:01
(Music ends)
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10:03
Couldn't you just listen to that all day?
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天啊!這音樂可以讓人聽一整天。
(笑聲)
10:06
All right, here it is backwards,
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好的,接下來是倒轉的版本。
10:07
and see if you can hear the hidden 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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10:41
What did you get? Audience: Satan!
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你聽到了什麼?
10:43
Satan. OK, at least we got "Satan".
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(聽眾:撒旦)
10:45
Now, I'll prime the auditory part of your brain
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麥可‧薛莫:撒旦,好,至少我們聽出了撒旦。
10:47
to tell you what you're supposed to hear, and then hear it again.
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現在我將先替你頭腦的聽力部分做準備,
告訴你,應該聽見的內容然後再聽一遍。
10:51
(Music with lyrics)
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11:17
(Music ends)
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11:18
(Laughter)
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(笑聲)
11:20
(Applause)
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(掌聲)
11:26
You can't miss it when I tell you what's there.
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我告訴你那裡有什麼之後,你就不可能會錯過。
11:29
(Laughter)
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(笑聲)
11:32
I'm going to just end with a positive, nice little story.
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好,最後我將以一個正面溫馨的小故事做為結束。
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.
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11:39
We're always looking for little good things that people do.
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我們總是在尋找人們所做的小小的好事。
11:42
And in England, there's a pop singer.
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在英國有個流行歌手,
11:44
One of the top popular singers in England today, Katie Melua.
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是當下英國最頂尖的流行歌手凱特瑪露。
11:47
And she wrote a beautiful song.
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她寫了一首很美的歌。
11:49
It was in the top five in 2005, called, "Nine Million Bicycles in Beijing."
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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"。
11:55
It's a love story -- she's sort 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。
11:58
about how she much loves her guy,
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關於她有多愛她的男人,
11:59
and compared to nine million bicycles, and so forth.
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與九百萬輛腳踏車做比較等等。
12:02
And she has this one passage here.
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其中有一段歌詞
12:04
(Music)
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12:05
(Lyrics) We are 12 billion light-years from the edge
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♫我們距離宇宙邊緣120億 光年♫
♫這是個猜想♫
12:11
That's a guess,
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12:13
No one can ever say it's true,
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♫從沒有人能說這是真的♫
12:17
But I know that I will always be with you.
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♫但我確切知道我會永遠伴著你♫
這很動人。
12:22
Michael Shermer: Well, that's nice. At least she got it close.
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至少她猜得很接近。
12:25
In America it'd be, "We're 6,000 light years from the edge."
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在美國,就會變成,"我們距離宇宙邊緣6000光年"。
12:28
(Laughter)
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(笑聲)
12:29
But my friend, Simon Singh, the particle physicist now turned science educator,
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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。
12:33
who wrote the book "The Big Bang," and so on,
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寫了"大爆炸"這本書以及其他等等。
12:35
uses every chance he gets to promote good science.
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他總是抓住每個可以宣導好科學的機會,
12:38
And so he wrote an op-ed piece in "The Guardian" about Katie's song,
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於是,他就在衞報上寫了一篇專欄關於凱特的歌。
12:41
in which he said, well, we know exactly how far from the edge.
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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,
12:46
You know, it's 13.7 billion light years, and it's not a guess.
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就是12--137億光年,不是用猜的。
12:50
We know within precise error bars how close it is.
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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。
12:54
So we can say, although not absolutely true, it's pretty close to being true.
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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。
12:58
And, to his credit, Katie called him up after this op-ed piece came out, and said,
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為了讚揚他,凱特在專欄上報之後打電話給他,
然後說:"我真是慚愧。
13:03
"I'm so embarrassed. 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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13:06
And she re-cut the song.
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所以她就重錄了這一段。
13:08
So I will end with the new version.
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而我也將以這新版本結束這演講。
13:10
(Music with lyrics)
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♫我們距離可觀察的宇宙邊緣♫
13:11
We are 13.7 billion light years
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13:13
from the edge of the observable universe.
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♫137億光年 ♫
♫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.
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♫從佐證的資料中♫
13:21
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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13:28
(Laughter)
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(掌聲)
13:29
How cool is that?
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很酷吧!
13:30
(Applause)
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(掌聲)
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