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	<title>Comments on: In Praise of Secrecy</title>
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	<link>http://landshape.org/enm/in-praise-of-secrecy/</link>
	<description>The Power of Numeracy</description>
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		<title>By: davids99us</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-1117</link>
		<dc:creator>davids99us</dc:creator>
		<pubDate>Thu, 14 Jan 2010 16:03:54 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-1117</guid>
		<description>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#039;t, and a higher value placed on the latter, maybe?</description>
		<content:encoded><![CDATA[<p>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#039;t, and a higher value placed on the latter, maybe?</p>
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		<title>By: sherro</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-1116</link>
		<dc:creator>sherro</dc:creator>
		<pubDate>Thu, 14 Jan 2010 15:37:02 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-1116</guid>
		<description>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.If you wish to publish without releasing your code and data, then don&#039;t publish. Heard that before?</description>
		<content:encoded><![CDATA[<p>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.If you wish to publish without releasing your code and data, then don&#039;t publish. Heard that before?</p>
]]></content:encoded>
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	<item>
		<title>By: Wikicrapedia! &#171; TWAWKI</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-1115</link>
		<dc:creator>Wikicrapedia! &#171; TWAWKI</dc:creator>
		<pubDate>Thu, 14 Jan 2010 12:31:17 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-1115</guid>
		<description>[...] In praise of secrecy, [...]</description>
		<content:encoded><![CDATA[<p>[...] In praise of secrecy, [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-12102</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Thu, 14 Jan 2010 11:03:00 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-12102</guid>
		<description>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.

Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#039;t, and a higher value placed on the latter, maybe?  </description>
		<content:encoded><![CDATA[<p>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.</p>
<p>Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#8217;t, and a higher value placed on the latter, maybe?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-12101</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Thu, 14 Jan 2010 10:37:00 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-12101</guid>
		<description>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.

We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).

The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.

That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.

A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.

If you wish to publish without releasing your code and data, then don&#039;t publish. Heard that before?

</description>
		<content:encoded><![CDATA[<p>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.</p>
<p>We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).</p>
<p>The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.</p>
<p>That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.</p>
<p>A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.</p>
<p>If you wish to publish without releasing your code and data, then don&#8217;t publish. Heard that before?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: davids99us</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-1114</link>
		<dc:creator>davids99us</dc:creator>
		<pubDate>Thu, 14 Jan 2010 10:03:54 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-1114</guid>
		<description>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#039;t, and a higher value placed on the latter, maybe?</description>
		<content:encoded><![CDATA[<p>My understanding of it, that in the case of mineral exploration, the front runners might suffer a cash crisis, while the market is fluctuating around the long term expected value, and the secrecy reduces the volatility.Standards and enforcement are not working.  But if there was a wall between those papers that have data and code available, and those that don&#039;t, and a higher value placed on the latter, maybe?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: sherro</title>
		<link>http://landshape.org/enm/in-praise-of-secrecy/#comment-1113</link>
		<dc:creator>sherro</dc:creator>
		<pubDate>Thu, 14 Jan 2010 09:37:02 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=3473#comment-1113</guid>
		<description>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.If you wish to publish without releasing your code and data, then don&#039;t publish. Heard that before?</description>
		<content:encoded><![CDATA[<p>This is an interesting approach if you neglect that econometric models have a disaster failure rate and thus do not serve as good illustrations of transparency. In the present context, the problem with the analogy is that transparency of financial data can change the I.P. and wealth of others who sometimes show irrational behavior , but it cannot effectively change the climate.We analyse in the frames of our experience, so I ask if premature discolsure of our past mineral exploration results would have been good or bad. Then good or bad for whom, competitors or economist/investors or the national economy? (I say premature release because the law required the eventual release, so perhaps its is best to ask if release was of overall benefit or detriment).The overall conclusion to this thought exercise is that early release enhances the likelihood of error detection and correction, in both the data and the methodology. The disadvantage is a loss of incentive for the leaders to maintain front running, as free riders hop on the wagon.That front runing has a true value only if it works for the common good. If the common good can be identified (as in more original wealth creation from new mineral discoveries), then front runners have a place. If it cannot be identified (as in the difficulty of changing the climate as opposed to gossiping about it) then transparency is the logical preference. If it is a common bad with perverse intent, then transparency is essential. Discerning if it is good, unidentifiable or bad comes back to economics and prospering by reward. The punters eventually find out about the duds.A case can be made for the progressive and prompt enforcement of standards (such as for data transmission or methods of ore analysis or certification of laboratories). The failure shown by several cases in Climategate would not have happened if standards for transparency were policed. Often standards were in place, as journal or association or funding policy, but often they were swept beneath the tablecloth. That is where the real lesson sits.If you wish to publish without releasing your code and data, then don&#039;t publish. Heard that before?</p>
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