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    <title>topic Recording Experimenters' Club Q2 2026_Beyond One Best Model: What a DSD Can Really Tell You in Design of Experiments Club Discussions</title>
    <link>https://community.jmp.com/t5/Design-of-Experiments-Club/Recording-Experimenters-Club-Q2-2026-Beyond-One-Best-Model-What/m-p/945035#M55</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Video 1:&amp;nbsp;Challenge -&amp;nbsp; Beyond One Best Model: What a DSD Can Really Tell You&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The Q2 session of the Experimenter’s Club featured a lively discussion on George Box’s famous reminder that &lt;I&gt;"all models are wrong, but some are useful."&lt;/I&gt;&lt;/P&gt;
&lt;P&gt;It began with a user &lt;A id="menurmku" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://community.jmp.com/t5/discussions/quot-surprising-quot-results-in-an-dsd-design/td-p/941518" href="https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518" rel="noreferrer noopener" aria-label="Link questioning" target="_blank"&gt;questioning&lt;/A&gt; whether unexpectedly strong interaction and quadratic effects in a 6-factor Definitive Screening Design (DSD) should be trusted. What followed was a thoughtful exchange showing that the real issue is &lt;A id="menurml0" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-activity-7454786628448841732-zfcw?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=acoaadahggebwbplcqumdaer8x_flkzrkxf0lcg" href="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-activity-7454786628448841732-ZFcw?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAADahGGEBwbPLcQuMDaer8x_flKzRkxf0Lcg" rel="noreferrer noopener" aria-label="Link not whether one model is “correct" target="_blank"&gt;not whether one model is “&lt;I&gt;correct&lt;/I&gt;&lt;/A&gt;,” but how to interpret a design space in which many plausible models coexist.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6394162783112w960h540r817" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6394162783112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6394162783112w960h540r817');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6394162783112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Community Question:&amp;nbsp;&lt;/STRONG&gt;&lt;A href="https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518" target="_blank" rel="noopener"&gt;https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;LinkedIn post from Victor:&amp;nbsp;&lt;/STRONG&gt;&lt;A href="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-share-7453440558682894336-j7Ki?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAAAg2XG8BduAUlMeluDXcuMFV-P_Hxv1KA0k" target="_blank" rel="noopener"&gt;https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-share-7453440558682894336-j7Ki?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAAAg2XG8BduAUlMeluDXcuMFV-P_Hxv1KA0k&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Video 2: Discussion&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The conversation highlighted that in a DSD with a limited number of runs, it is impossible to estimate every main, interaction, and quadratic effect simultaneously without structural tradeoffs. As a result, partial aliasing, multicollinearity, and model multiplicity are natural features of the problem rather than signs of failure.&lt;/P&gt;
&lt;P&gt;The discussion emphasized that different estimation methods and selection criteria, such as R², adjusted R², AICc, BIC, and RMSE, can lead to different but still defensible models.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6394161814112w960h540r791" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6394161814112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6394161814112w960h540r791');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6394161814112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;A key takeaway is that experimenters should not focus only on finding a single best-fitting model. Instead, they should compare multiple strong candidates, look for effects that appear consistently across good models, apply effect hierarchy and domain knowledge, and consider augmentation when confirmation is needed.&lt;/P&gt;
&lt;P&gt;In that sense, the design process becomes less about reacting to surprising results and more about disciplined model judgment in real-world experimental work.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 30 Apr 2026 07:02:51 GMT</pubDate>
    <dc:creator>maria_astals</dc:creator>
    <dc:date>2026-04-30T07:02:51Z</dc:date>
    <item>
      <title>Recording Experimenters' Club Q2 2026_Beyond One Best Model: What a DSD Can Really Tell You</title>
      <link>https://community.jmp.com/t5/Design-of-Experiments-Club/Recording-Experimenters-Club-Q2-2026-Beyond-One-Best-Model-What/m-p/945035#M55</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Video 1:&amp;nbsp;Challenge -&amp;nbsp; Beyond One Best Model: What a DSD Can Really Tell You&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The Q2 session of the Experimenter’s Club featured a lively discussion on George Box’s famous reminder that &lt;I&gt;"all models are wrong, but some are useful."&lt;/I&gt;&lt;/P&gt;
&lt;P&gt;It began with a user &lt;A id="menurmku" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://community.jmp.com/t5/discussions/quot-surprising-quot-results-in-an-dsd-design/td-p/941518" href="https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518" rel="noreferrer noopener" aria-label="Link questioning" target="_blank"&gt;questioning&lt;/A&gt; whether unexpectedly strong interaction and quadratic effects in a 6-factor Definitive Screening Design (DSD) should be trusted. What followed was a thoughtful exchange showing that the real issue is &lt;A id="menurml0" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-activity-7454786628448841732-zfcw?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=acoaadahggebwbplcqumdaer8x_flkzrkxf0lcg" href="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-activity-7454786628448841732-ZFcw?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAADahGGEBwbPLcQuMDaer8x_flKzRkxf0Lcg" rel="noreferrer noopener" aria-label="Link not whether one model is “correct" target="_blank"&gt;not whether one model is “&lt;I&gt;correct&lt;/I&gt;&lt;/A&gt;,” but how to interpret a design space in which many plausible models coexist.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6394162783112w960h540r540" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6394162783112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6394162783112w960h540r540');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6394162783112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Community Question:&amp;nbsp;&lt;/STRONG&gt;&lt;A href="https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518" target="_blank" rel="noopener"&gt;https://community.jmp.com/t5/Discussions/quot-Surprising-quot-results-in-an-DSD-Design/td-p/941518&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;LinkedIn post from Victor:&amp;nbsp;&lt;/STRONG&gt;&lt;A href="https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-share-7453440558682894336-j7Ki?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAAAg2XG8BduAUlMeluDXcuMFV-P_Hxv1KA0k" target="_blank" rel="noopener"&gt;https://www.linkedin.com/posts/victorguiller_experimentersclub-designofexperiments-share-7453440558682894336-j7Ki?utm_source=share&amp;amp;utm_medium=member_desktop&amp;amp;rcm=ACoAAAg2XG8BduAUlMeluDXcuMFV-P_Hxv1KA0k&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Video 2: Discussion&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The conversation highlighted that in a DSD with a limited number of runs, it is impossible to estimate every main, interaction, and quadratic effect simultaneously without structural tradeoffs. As a result, partial aliasing, multicollinearity, and model multiplicity are natural features of the problem rather than signs of failure.&lt;/P&gt;
&lt;P&gt;The discussion emphasized that different estimation methods and selection criteria, such as R², adjusted R², AICc, BIC, and RMSE, can lead to different but still defensible models.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6394161814112w960h540r146" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6394161814112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6394161814112w960h540r146');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6394161814112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;A key takeaway is that experimenters should not focus only on finding a single best-fitting model. Instead, they should compare multiple strong candidates, look for effects that appear consistently across good models, apply effect hierarchy and domain knowledge, and consider augmentation when confirmation is needed.&lt;/P&gt;
&lt;P&gt;In that sense, the design process becomes less about reacting to surprising results and more about disciplined model judgment in real-world experimental work.&lt;/P&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 30 Apr 2026 07:02:51 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Design-of-Experiments-Club/Recording-Experimenters-Club-Q2-2026-Beyond-One-Best-Model-What/m-p/945035#M55</guid>
      <dc:creator>maria_astals</dc:creator>
      <dc:date>2026-04-30T07:02:51Z</dc:date>
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