https://robustlybeneficial.org/wiki/index.php?title=Goodhart%27s_law&feed=atom&action=history
Goodhart's law - Revision history
2024-03-29T08:04:39Z
Revision history for this page on the wiki
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https://robustlybeneficial.org/wiki/index.php?title=Goodhart%27s_law&diff=115&oldid=prev
El Mahdi El Mhamdi at 10:41, 27 January 2020
2020-01-27T10:41:31Z
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 10:41, 27 January 2020</td>
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<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Goodhart's law asserts that "as soon as a measure becomes a target, it ceases to be a good measure". Introduced in </div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Goodhart's law asserts that "as soon as a measure becomes a target, it ceases to be a good measure". Introduced in <ins class="diffchange diffchange-inline">its original formulation as "Any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes" in [https://books.google.ch/books?id=OMe6UQxu1KcC&pg=PA111&redir_esc=y#v=onepage&q&f=false Goodhart1981]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Examples ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Examples ==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">Addiction</del>. <del class="diffchange diffchange-inline">Mute news. Infobesity. Anger</del>.</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">Over-fitting the accuracy of a scientific model to the data that was available during the formulation of that model leads to poor reproducibility on data that was unseen</ins>.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">In machine learning, instances of this could be over-fitting to the training set, which leads to poor generalisation to an unseen test-set</ins>.</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Moral uncertainty ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Moral uncertainty ==</div></td></tr>
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El Mahdi El Mhamdi
https://robustlybeneficial.org/wiki/index.php?title=Goodhart%27s_law&diff=18&oldid=prev
Lê Nguyên Hoang: Created page with "Goodhart's law asserts that "as soon as a measure becomes a target, it ceases to be a good measure". Introduced in == Examples == Addiction. Mute news. Infobesity. Anger...."
2020-01-20T21:31:04Z
<p>Created page with "Goodhart's law asserts that "as soon as a measure becomes a target, it ceases to be a good measure". Introduced in == Examples == Addiction. Mute news. Infobesity. Anger...."</p>
<p><b>New page</b></p><div>Goodhart's law asserts that "as soon as a measure becomes a target, it ceases to be a good measure". Introduced in <br />
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== Examples ==<br />
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Addiction. Mute news. Infobesity. Anger.<br />
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== Moral uncertainty ==<br />
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== Instrumental goals ==</div>
Lê Nguyên Hoang