<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: conductrics</title><link>https://news.ycombinator.com/user?id=conductrics</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 07 Apr 2026 10:19:57 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=conductrics" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[CUPED's Sting: More Power More Underpowered A/B Tests]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.conductrics.com/cupeds-sting-more-power-more-underpowered-a-b-tests/">https://blog.conductrics.com/cupeds-sting-more-power-more-underpowered-a-b-tests/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43657563">https://news.ycombinator.com/item?id=43657563</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 11 Apr 2025 19:30:02 +0000</pubDate><link>https://blog.conductrics.com/cupeds-sting-more-power-more-underpowered-a-b-tests/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=43657563</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43657563</guid></item><item><title><![CDATA[New comment by conductrics in "Simple Zero Analysis Multi-Armed Bandit"]]></title><description><![CDATA[
<p>A simple Zero analysis Multi-Armed Bandit
Reproposing Pearson-Neyman sample size calculations to create simple bandits with no need for dedicated software. Obviously not optimal but often a very good option.</p>
]]></description><pubDate>Sun, 06 Apr 2025 13:11:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=43601202</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=43601202</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43601202</guid></item><item><title><![CDATA[Simple Zero Analysis Multi-Armed Bandit]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.conductrics.com/adjusted-power-multi-armed-bandit/">https://blog.conductrics.com/adjusted-power-multi-armed-bandit/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43601201">https://news.ycombinator.com/item?id=43601201</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Sun, 06 Apr 2025 13:11:23 +0000</pubDate><link>https://blog.conductrics.com/adjusted-power-multi-armed-bandit/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=43601201</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43601201</guid></item><item><title><![CDATA[Explaining Concepts Behind AB Testing Without Math]]></title><description><![CDATA[
<p>Article URL: <a href="https://conductrics.com/ab-testing-ruling-out-to-conclude/">https://conductrics.com/ab-testing-ruling-out-to-conclude/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=31584789">https://news.ycombinator.com/item?id=31584789</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 01 Jun 2022 17:01:32 +0000</pubDate><link>https://conductrics.com/ab-testing-ruling-out-to-conclude/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=31584789</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=31584789</guid></item><item><title><![CDATA[New comment by conductrics in "Optimizely to be acquired by Episerver"]]></title><description><![CDATA[
<p>Are you suggesting that revenues fell after bailing on SMB. That is hard to imagine, but I guess possible. Given that the core of the industry is about asking counterfactual questions, I would think the appropriate question would be 'would they be more valuable now if they had not gone to the enterprise - would they even have the deal they did wind up getting?'rather than are they more valuable now then they were 4 years ago.  
Hard to know, but my guess is that they wouldn't. A simple web editor with a random number generator isn't going to be of interest to anyone looking to buy. 
The larger problem is that statistical inference is hard - it just is. And, unlike analytics, where you are just placing sensors into an existing system, here you need to also place actuators, so implementation is much more complicated. That means that at any scale, both the marketing team, and the dev/IT teams need to be involved for anyone to get value and not wind up breaking systems all the time. 
Software like theirs, and ours, isn't magic, and without good editorial and hard work by the client, the entire exercise is more statistical theater than science. And that material fact was always in conflict with the rhetoric that they make AB Testing easy for everyone.  It lends itself to a particular type of solutionism that VCs and the larger industry are prone to be seduced by.  
Self service to SMB clients might be a profitable biz, but perhaps not enough to service such a large amount of venture funding. 
FWIW VWO also tries compete at the enterprise.</p>
]]></description><pubDate>Fri, 04 Sep 2020 00:04:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=24370285</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=24370285</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24370285</guid></item><item><title><![CDATA[A/B Testing Tools in 2020]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.alexbirkett.com/best-ab-testing-tools/">https://www.alexbirkett.com/best-ab-testing-tools/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=21689482">https://news.ycombinator.com/item?id=21689482</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 03 Dec 2019 02:50:33 +0000</pubDate><link>https://www.alexbirkett.com/best-ab-testing-tools/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=21689482</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21689482</guid></item><item><title><![CDATA[Intro to Entropy and Information Theory for Digital Analysts [video]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=sMTdNKYEVSk">https://www.youtube.com/watch?v=sMTdNKYEVSk</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=20383374">https://news.ycombinator.com/item?id=20383374</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 08 Jul 2019 15:09:11 +0000</pubDate><link>https://www.youtube.com/watch?v=sMTdNKYEVSk</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=20383374</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=20383374</guid></item><item><title><![CDATA[Do No Harm or AB Testing Without P-Values]]></title><description><![CDATA[
<p>Article URL: <a href="https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/">https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=17768617">https://news.ycombinator.com/item?id=17768617</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 15 Aug 2018 18:45:51 +0000</pubDate><link>https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=17768617</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17768617</guid></item><item><title><![CDATA[Do No Harm or AB Testing Without Using P-Values]]></title><description><![CDATA[
<p>Article URL: <a href="https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/">https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=16733660">https://news.ycombinator.com/item?id=16733660</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 02 Apr 2018 11:23:15 +0000</pubDate><link>https://conductrics.com/do-no-harm-or-ab-testing-without-p-values/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=16733660</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16733660</guid></item><item><title><![CDATA[Thompson Sampling or how I learned to love Roulette]]></title><description><![CDATA[
<p>Article URL: <a href="https://conductrics.com/lets-play-roulette-using-machine-learning-and-thompson-sampling-for-digital-optimization/">https://conductrics.com/lets-play-roulette-using-machine-learning-and-thompson-sampling-for-digital-optimization/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=16133982">https://news.ycombinator.com/item?id=16133982</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 12 Jan 2018 16:19:53 +0000</pubDate><link>https://conductrics.com/lets-play-roulette-using-machine-learning-and-thompson-sampling-for-digital-optimization/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=16133982</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16133982</guid></item><item><title><![CDATA[Reinforcement Learning: Going from AB Testing to AI]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=ZcYwNItzb4Y">https://www.youtube.com/watch?v=ZcYwNItzb4Y</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=14555479">https://news.ycombinator.com/item?id=14555479</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 14 Jun 2017 19:45:22 +0000</pubDate><link>https://www.youtube.com/watch?v=ZcYwNItzb4Y</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=14555479</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14555479</guid></item><item><title><![CDATA[Hacking AB Testing: Reinforcement Learning – Going from AB Testing to AI]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=ZcYwNItzb4Y">https://www.youtube.com/watch?v=ZcYwNItzb4Y</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=14132051">https://news.ycombinator.com/item?id=14132051</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 17 Apr 2017 16:16:29 +0000</pubDate><link>https://www.youtube.com/watch?v=ZcYwNItzb4Y</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=14132051</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14132051</guid></item><item><title><![CDATA[New comment by conductrics in "20 lines of code that beat A/B testing (2012)"]]></title><description><![CDATA[
<p>When thinking about what type of approach is best, first think about the nature of the problem. First is it a real optimization problem, IOW are you more concerned with learning an optimal controller for your marketing application? If so then ask:
1) Is the problem/information perishable - for example Perishable: picking headlines for News articles; Not Perishable: Site redesign. If Perishable then Bandit might give you real returns.
2) Complexity: Are you using covariates (contextual bandits, Reinforcement learning with function approximation) or not. If you are, then you might want your targeting model to serve up best the predicted options in subspaces (frequent user types) that it has more experiences in and for it to explore more in less frequently visited areas (less common user types).
3) Scale/Automation: You have tons of transactional decision problems, and it just doesn't scale to have people running many AB Tests.<p>Often it is a mix - you might use a bandit approach with your predictive targeting, but you also should A/B tests the impact of your targeting model approach vs a current default and/or a random draw. see slides 59-65: <a href="http://www.slideshare.net/mgershoff/predictive-analytics-broken-down" rel="nofollow">http://www.slideshare.net/mgershoff/predictive-analytics-bro...</a><p>For a quick bandit overview check out:
<a href="http://www.slideshare.net/mgershoff/conductrics-bandit-basicsemetrics1016" rel="nofollow">http://www.slideshare.net/mgershoff/conductrics-bandit-basic...</a></p>
]]></description><pubDate>Wed, 06 Apr 2016 14:55:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=11439167</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=11439167</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=11439167</guid></item><item><title><![CDATA[When to Run Bandit Tests Instead of A/B/n Tests]]></title><description><![CDATA[
<p>Article URL: <a href="http://conversionxl.com/bandit-tests/">http://conversionxl.com/bandit-tests/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10235561">https://news.ycombinator.com/item?id=10235561</a></p>
<p>Points: 6</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 17 Sep 2015 19:36:34 +0000</pubDate><link>http://conversionxl.com/bandit-tests/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=10235561</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10235561</guid></item><item><title><![CDATA[Top 7 Data Scientists before there was Data Science]]></title><description><![CDATA[
<p>Article URL: <a href="http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/">http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10235551">https://news.ycombinator.com/item?id=10235551</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 17 Sep 2015 19:34:14 +0000</pubDate><link>http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=10235551</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10235551</guid></item><item><title><![CDATA[Big Data Is Actually About the Very Small]]></title><description><![CDATA[
<p>Article URL: <a href="http://conductrics.com/big-data-is-actually-about-the-very-small/">http://conductrics.com/big-data-is-actually-about-the-very-small/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=8721385">https://news.ycombinator.com/item?id=8721385</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 09 Dec 2014 06:44:23 +0000</pubDate><link>http://conductrics.com/big-data-is-actually-about-the-very-small/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=8721385</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=8721385</guid></item><item><title><![CDATA[Pulling back the curtain on p-values or How I learned to love small data]]></title><description><![CDATA[
<p>Article URL: <a href="http://conversionxl.com/pulling-back-curtain-p-values-learned-love-small-data">http://conversionxl.com/pulling-back-curtain-p-values-learned-love-small-data</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=7777876">https://news.ycombinator.com/item?id=7777876</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 21 May 2014 12:41:06 +0000</pubDate><link>http://conversionxl.com/pulling-back-curtain-p-values-learned-love-small-data</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=7777876</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=7777876</guid></item><item><title><![CDATA[New comment by conductrics in "Ask HN: Is "Gödel, Escher, Bach" still worth reading?"]]></title><description><![CDATA[
<p>I read GEB as my subway book, back in 1999 (during a work stint in Paris), during my daily commute to work. Years later, when I was looking for a change, I started thinking about GEB. Even though I had no CS background,I decided to apply to a few AI programs and wound up going to the University of Edinburgh for an Msc. in AI in '05.  Now I am a co-founder of software start up that applies reinforcement learning, a method from ai -lower case ;-) to conversion optimization.  Obviously, I can't say if you will find it a worthwhile read, but I do look back on it as a significant influence on a major pivot in my life.</p>
]]></description><pubDate>Sat, 11 Jan 2014 01:00:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=7040877</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=7040877</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=7040877</guid></item><item><title><![CDATA[The World’s Top 7 Data Scientists before there was Data Science]]></title><description><![CDATA[
<p>Article URL: <a href="http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/">http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=6664913">https://news.ycombinator.com/item?id=6664913</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 03 Nov 2013 20:36:32 +0000</pubDate><link>http://conductrics.com/the-worlds-7-top-data-scientists-before-there-was-datascience/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=6664913</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=6664913</guid></item><item><title><![CDATA[Unfulfilled Promise: Thoughts on the Promises API]]></title><description><![CDATA[
<p>Article URL: <a href="http://conductrics.com/promises/">http://conductrics.com/promises/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=6297247">https://news.ycombinator.com/item?id=6297247</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 29 Aug 2013 17:42:23 +0000</pubDate><link>http://conductrics.com/promises/</link><dc:creator>conductrics</dc:creator><comments>https://news.ycombinator.com/item?id=6297247</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=6297247</guid></item></channel></rss>