字幕表 動画を再生する
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Technology has brought us so much
翻訳: Moe Shoji 校正: Naoko Fujii
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The moon landing, the internet, the ability to sequence the human genome
科学技術は多くをもたらしてくれました
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but it also taps into a lot of humans’ fear
月面着陸 インターネット
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and about thirty years ago, the cultural critic Neil Postman wrote a book call the amusing ourselves to death
ヒトゲノム配列の解析などです
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Which lay this out really brilliantly
ですが 私たちの奥深くにある 恐怖の多くにも それは入り込んでいます
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And here’s what he said comparing the dystopian visions of George Orwell and Aldous Huxley
およそ30年ほど前
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He said ‘Orwell fear that we will become a captive culture; Huxley fear that we would become a trivial culture.’
文化批評家のニール・ポストマンは
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Orwell fear the truth would be conceal from us and Huxley fear we would be drown in the sea of irrelevance.
"Amusing Ourselves to Death" という著作で
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In a nut shell, it’s a choice between big brother watching you and you watching big brother.
このことを的確に述べました
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But it doesn’t have to be this way, we are not passive consumer of data and technology.
彼はこの著作において
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We shape the role it place in our life and the way we made meaning from it.
ジョージ・オーウェルとオルダス・ハクスリーの
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But to do that, we have to pay as much attention to how we think as how we code
ディストピア (反ユートピア) 思想を比べて こう書きました
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We have to ask question and hard question to move pass counting things to understanding them
「オーウェルは私たちが
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We’re constantly bombarded with stories about how much data there is in the world
囚われの身になる文化を恐れた
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But when it comes to big data, and the challenge is interpreting it
ハクスリーは私たちが 取るに足らないことに耽溺する文化を恐れた
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Size isn’t everything.
オーウェルは真実が
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There’s also the speed of which it moves
私たちから隠蔽されることを恐れ
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And the many variety of data types
ハクスリーは私たちが無関心の海で
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And here are just the few examples, Images
溺れ死ぬことを恐れた」
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Texts
要するに
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Video
「ビッグ・ブラザー」 に監視されるか
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Audio
「ビッグ・ブラザー」を監視するかの どちらかということです
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And what unites these despair it types of data
(笑)
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Is that they are created by people
でも そうでなくともよいのです
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And they require context
私たちはデータや技術を 受け身で消費するだけではありません
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Now, there’s a group of data scientists at the university of Illinos at Chicago
生活において データや技術が果たす役割や
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And they are called the Health Media collaboratory.
その意味を見出す方法を 私たちが形作るのです
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And they have been working with the center for disease control
しかし そのためには
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To better understand, how people talk about quitting smoking
コード化の方法と同じくらいに
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How they talk about electronic cigarets.
考え方にも注意を向けねばなりません
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And what they can do collectively to help them quit.
物を数えるだけでなく さらにそれを理解するために
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The interesting thing is if you wanna understand how people talk about smoking
難解な問いを
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First you have to understand what they mean, when they say smoking
投げかけねばなりません
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And on Tweeter, they are four main categories.
私たちは世界に どれ位のデータがあるか
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First one, smoking cigarets.
常に聞かされていますが
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Number two, smoking marijuana.
ビッグデータや
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Number three, smoking ribs.
それを読み解く難解さとなると
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And number four, smoking hot women
量だけがすべてではありません
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So…then you have to think about what have the people talk about electronic cigarets?
データが動く速さも問題になりますし
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And there are so many different ways that people do this
データには様々な種類があります
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You can see from the slide.
ごくわずかな例を挙げると
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It’s a complex kind of queery.
画像
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And what that reminds us is that
文章
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Languages created by people.
映像
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And people are messy and were complex and we use metaphors and slang and jargon
音声などです
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And we do this twenty-four seven and many many languages.
これら別々の種類のデータに 共通しているのは
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And then as soon as we figure it out, we change it up.
これらは人の手で作られ
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So…did this ads that cdcs put on these television ads that feature a woman with a hole in her throat
文脈を必要としているということです
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And that were very graphic and very disturbing
さて イリノイ大学シカゴ校出身の
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Did they actually have an impact on whether people quit?
データ科学者のグループがあります
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And helpfully, the collaboratory respect the limits of their data
このグループは ヘルス・メディア・コラボラトリーと呼ばれ
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But they were able to conclude that those advertisements and you may have seen them
米国疾病管理センターと一緒に仕事をし
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They have the affect of jotting people into a thought process.
人々が
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That may have an impact on future behavior.
禁煙についての言い表し方や
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And…what I admire, and appreciate about this project design from the fact, including the fact
電子タバコについての言い表し方
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That’s base on real human need is that
禁煙を促すために協力しあえることを
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It’s a fantastic example of courage and the face of the sea of relevance.
より良く理解するよう努めました
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And so…it’s not just big data that causes challenge and interpretation.
興味深いことに 人がどのように
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Because let’s face it. We human-beings have a very rich stream of taking any among of data
喫煙について話しているかを 理解するにはまず
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No matter how small and screwing it up.
「smoking (吸う)」という語で
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So…many years ago you may remember
どんな意味が表されているかを 理解せねばなりません
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That formal president Ronald Reagan was very criticize for making a statement the facts are stupid things
ツイッター上には 4つの主なカテゴリーがあります
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And it was a slip of the tongue. Let’s be fair.
1つ目 タバコを「吸う」
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He actually meant to quote John Adams’ defense British soldiers in the Boston Massacre trial
2つ目 マリファナを「吸入する」
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That facts are stubborn things.
3つ目 リブ肉を「いぶす」
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But I actually think there’s a bit of accidental wisdom in what he said.
4つ目 「煙が出るほどホットな」イケてる女
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Because facts are stubborning things.
(笑)
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But sometimes they are stupid too.
電子タバコについて どのように話されているかは
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When I tell you a personal story about why this matters a lot to me
その上で考えてみなければなりません
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I need to take a breath.
これには 非常に様々な例が見られます
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My son Isaac when he was two, he is diagnose with autism.
スライドからもおわかりのように
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And he was happy, hilarious, loving and affectionate little guy.
これは複雑な問いなのです
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but the metrics on his developmental evaluations, which looked at things like the number of words — at that point, none
このことで思い出すのは
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Communicate with gestures and minimum eye contact put his developmental level at that of a nine months old baby.
言語は人々によって作られたものであり
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And the diagnosis fact is actually correct but it didn’t tell the whole story.
人間は厄介かつ複雑なもので
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And about a year and a half later, he was almost four.
比喩やスラングや隠語を 使うものだということ
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I found him in front of the computer one day.
そしてそれを人間は毎日24時間 多くの言語で行い続けており
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Running a google search on woman
理解するやいなや その言葉自体を変えてしまうことです
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Spell w-i-m-e-m
では 米国疾病管理センターが出した
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And I did what any you know…upset parents will do
喉に穴が開いた女性を 映し出すこのテレビ広告は
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just immediate started hitting the back bottom to see what else he has been searching for
非常に描写が露骨で
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And they were in order men, school, bus and computer (cpyutr)
気持ちの良いものではありませんが
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And I was stunned.
この広告は実際に禁煙するように
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Because we didn’t know that he could spell much less read
人々を促したのでしょうか?
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So I ask him. Isaac, how do you do this?
ヘルス・メディア・コラボラトリーは データの限界を認めてはいますが
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And he looked at me very seriously and said ‘type in the box’
その結論によると
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He was teaching himself to communicate.
あなた方も見たことがあるかもしれない これらの広告によって
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But we were looking at the wrong place.
将来の行動が
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And this is what happens when assessment and analytics over value one matrix in this case verbal communication
影響されるかもしれないような
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And undervalue others’ such as creating problem solving.
思考プロセスに 人々を導いたのだそうです
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Communication was hard for Isaac.
私がこのプロジェクトについて 感心し 評価するのは
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And so he found a work around to find out what he needed to know.
人間の現実的な必要性に 基づいている などの事実面はさておき
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And when you think about it, it makes a lot of sense.
人間の現実的な必要性に 基づいている などの事実面はさておき
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Because forming a question is really complex process.
これが無関心の海に真っ向から 立ち向かう勇気を示す
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But he can get himself a lot of way there. By putting a word in the search box.
素晴らしい例であるということです
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And so this little moment had a really profound impact on me.
一方 理解が難しいのは ビッグデータだけではないのです
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In our family. Because it helps us change our reference for what’s going on for him.
なぜなら 考えてもみてください
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And worry of a little bit less and appreciate his resource more.
私たち人間は データの大小にかかわらず
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Facts are stupid things.
それを台無しにしてしまった 豊かな歴史を
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And they’re vulnerable to misuse willful or otherwise.
有しているではありませんか
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I have a friend - Emily Willingham who’s a scientist.
何年も前に ロナルド・レーガン元大統領が
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And she wrote a piece for forbes not long ago.
このように述べて厳しく批判されたことを
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Entitled the ten weirdest things ever linked to autism.
皆さんも覚えているかもしれません
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It’s quite a list.
「事実とは馬鹿げたものである」と
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The internet link for everything, right?
これは言い間違いでした 公平を期すなら ですが
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And of course mother. Because an actually way, there’s more others the whole bunch in the mother category here.
彼はジョン・アダムズが
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And you can see, it’s a pretty rich and interesting list.
ボストン虐殺事件裁判において イギリス人兵士の弁護で述べた
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I’m a big fan of you know…being pregnant in a free way, personally.
「事実とは確固たるものである」を 引用したつもりだったのです
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The final one is interesting because the term of ‘refrigerator’ mother was actually the original hypothesis for the cause of autism.
しかし このレーガンの言い間違いは
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And that meant somebody was cold and unloving.
偶然ながらも 一理あると私は思います
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And at this point, you might be thinking…okay…Susan we get it.
なぜなら 事実は確固たるものですが
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You can take data. You can make it mean anything and this is true.
時に 馬鹿げてもいるからです
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It’s absolutely true.
これが 私にとってなぜ重要なのか
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But the challenge is that
個人的なお話をしたいと思います
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We have this opportunity to try make meaning out of ourselves.
ひと息つかせてください
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Because frankly, data doesn’t create meaning, we do.
息子のアイザックは 2歳の時に
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So as business people, as consumers, as patients, as citizens
自閉症の診断を受けました
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We have our responsibility, I think.
彼はにこにこして 愉快で
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To spend more time focus on our critical thinking skills.
愛情深く 優しい男の子でしたが
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Why?
彼の発育評価についての測定基準が
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Because at this point in our history as we heard, many times over we can process Exabyte in lightening speed.
着目したのは 話せる言葉の数や―
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And we have potential to make bad decisions far more quickly, efficiently and far greater impact than we did in the past.
これは当時 ゼロでした―
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Great, right?
意思疎通を図る身振り アイコンタクトなどであったため
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And so what we need to do instead is spend a little bit more time on things like the humanities.
彼の発育レベルは
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And sociology, and the social sciences, rhetoric, philosophy, ethics.
9か月の赤ちゃん程度でした
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Because it gives us context that is so important for big data.
この診断は事実からすれば 正しいものでしたが
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Because they help us become better critical thinkers.
全体像を語ってはいませんでした
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Because after all, if I can spot a problem in an argument, it doesn’t much matter whether it’s express in words or numbers
およそ1年半後
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And this means, teaching ourselves.
アイザックがもうすぐ4歳になる頃
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To find those conformation by thesis and false correlations.
私は ある日 彼がコンピュータの前で
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And being able to spot a naked emotional appeal from thirty yards.
グーグル画像検索で 女性を検索しているのを見つけました
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Because something that happens after something doesn’t mean it happen because of it necessarily.
「w-i-m-e-n」というつづりで です
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And if you let me geek out on your first second, the Romans call this ‘post hoc ergo propterhoc’
過干渉な親がそうするように 私も
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After which therefore because of which.
「前のページに戻る」ボタンをクリックし
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And it means questioning disciplines like demographics
他に何を検索していたのか知ろうとしました
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Why? Because they're based on assumptions about who we all are based on our gender
他の検索は 順番に「男性」
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and our age and where we live as opposed to data on what we actually think and do
「学校」 「バス」 そして「コンピュータ」でした
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And since we have this data
私は呆気にとられました
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we need to treat it with appropriate privacy controls and consumer opt-in
アイザックがスペルを知っているとも
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and beyond that, we need to be clear about our hypotheses,
ましてや読めるとも知らなかったのです
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the methodologies that we use, and our confidence in the result
そこで息子に訊きました 「どうやったの?」
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As my high school algebra teacher used to say
アイザックは私を真剣に見て 言いました
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show your math, because if I don't know what steps you took
「ボックスに文字をタイプしたんだ」
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I don't know what steps you didn't take
彼は自分で意思疎通の仕方を 学んでいたのに
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and if I don't know what questions you asked, I don't know what questions you didn't ask
私たちは誤った部分に 目を向けていたのです
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And it means asking ourselves, really, the hardest question of all
そして こういったことが起こるのは
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Did the data really show us this, or does the result make us feel more successful and more comfortable?
査定や分析が ある測定基準―
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So the Health Media Collaboratory, at the end of their project
ここでは 言語による意思疎通― を過大評価して
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they were able to find that 87 percent of tweets about those very graphic and disturbing anti-smoking ads expressed fear
創造的問題解決能力のような 他の基準を過小評価する場合です
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but did they conclude that they actually made people stop smoking?
アイザックにとって 他者との意思疎通は難しいので
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No. It's science, not magic.
彼は自分に必要なことを知るための
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So if we are to unlock the power of data
別の方法を見つけたのです
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We don't have to go blindly into Orwell's vision of a totalitarian future
考えてみれば 合点がいきますね
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or Huxley's vision of a trivial one, or some horrible cocktail of both.
質問文を構成するのは
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What we have to do is treat critical thinking with respect and be inspired by examples like the Health Media Collaboratory
実に複雑なプロセスですが
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and as they say in the superhero movies, let's use our powers for good.
アイザックは検索ボックスに 単語を入れるだけで
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Thank you.
自力で答えにたどり着けるのです