Adam Kolber on Smooth and Bumpy Laws

Adam Kolber在SSRN上發表了他的一篇文章:Smooth and Bumpy Laws。這一篇文章的討論很有趣,使用統計上對於資料特性的區分:continuous and discret,區分成四種法律運作的模式。不知道為什麼我看這一篇文章時心情一直是很愉快的,或許是作者的說明太有創意的緣故!推薦閱讀


4 Comments on “Adam Kolber on Smooth and Bumpy Laws”

  1. Adam Kolber says:

    Thanks Marx for posting about my draft paper.

    Since I used Google translate, I’m not entirely sure what you wrote. But the gist of it sounds good! Best wishes with your blog.

    -Adam

    • Marx Chen says:

      Dear Prof. Kolber,

      Thank you for encouragement. The google translations are almost correct except few sentences. Here is what I mean in the original Chinese: Adam Kolber has posted his article on SSRN, Smooth and Bumpy Laws. His discussion is pretty interesting using the distinction of continuous and discrete data in statistic to build four models in law. I do not know why I feel joyful when reading this article. The reason might be this paper is innovative. Recommendation!!

      Marx

  2. […] PS. 有幾個議題可能與這個詞條有相關性,例如訴訟法內的證據證明法則,人工智慧的判斷,集體行動的判斷弔詭等等。而文中提到的「二元判斷的劃界難題」也是一個有趣的理論議題。但是這不意味著實務上操作很困難。此外,對於具有統計基礎知識的法律人,這一篇應該會很感興趣!因為這也是涉及到法律推理的議題!!最後,進一步閱讀文章中,Larry Alexander的文章是必備的,而Adam Kolber的文章也值得一看,非常有趣(以前的轉載在此)! […]


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