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Whereas if you have a small to mid size market, and have a fast adoption rate.
如果在中小市場中，你的普及率很快的話
You can now take over this market.
你就能占領這個市場
And so I think this is one of the reasons Silicon Valley has done so well,
這也是硅谷的公司以及軟件工業
and why software has been this phenomenal industry.
都很成功的原因之一
And what I, what I would suggest, what I would want to leave you with is
我想讓大家思考的是
there are sort of these different rationalizations
人們對于一些創新能掙錢
people give for why certain things work, and why certain things don't work.
另一些則不能給出了很多不同的解釋
And I think these rationalizations always obscure this question of creating X dollars in value, and capturing Y percent of X.
我認為這些解釋都掩蓋了“創造X美元的價值，并獲得Y%”這一實質問題
So the science rationalization we're always told,
因此人們對于科學家賺不到錢的解釋總是
is that the scientists aren't interested in making money.
科學界對賺錢沒興趣
They're doing it for charitable reasons, and that you're not a good scientist if you're motivated by money.
他們做這個是出于慷慨之心，如果你總想著賺錢，你就不是一個合格的科學家
And I'm not even saying people should always be motivated by money or something like this.
我并不是說人們不一定要每次都以賺錢為驅動力
But I think we should be a little more critical of this as a rationalization.
但我想，我們應該對這種解釋抱有懷疑的態度
We should ask, is this a rationalization to obscure the fact that Y equals zero percent.
我們應該想想這個解釋是否觸及到Y值為0的本質？
And the scientists are operating in this sort of world where all the innovation is effectively competed away,
科學家所處的環境是不是導致所有的創新產生的價值都在競爭中消耗掉了
and they can't capture any of it directly.
因此他們才沒有賺到錢？
The software distortion that often happens,
關于軟件業的一個錯誤解釋是
is because people are making such a vast fortunes in software,
因為我們看到軟件公司賺了很多錢
we infer that this is the most valuable thing in the world being done full stop.
因此我們就認為它們創造的東西是世界上最有價值的
And so if people at Twitter make billions of dollars,
如果Twitter的人賺了幾十億美元
it must be that Twitter is worth far more than anything that Einstein did.
那Twitter的價值肯定比愛因斯坦做的東西高得多
