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    <description>recent bookmarks from Aetles</description>
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  </channel><item rdf:about="https://torquemag.io/2018/11/why-you-cant-trust-website-analytics/">
    <title>Why You Can’t Trust Website Analytics</title>
    <dc:date>2018-11-09T14:15:46+00:00</dc:date>
    <link>https://torquemag.io/2018/11/why-you-cant-trust-website-analytics/</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[This is a long article with a lot of information. To sum up the key points:

Standard tools used to measure website usage are missing lots of data due to the use of ad blockers.
Blocked tools include Google Analytics (which also reports conversions back to Google Ads), Google Tag Manager, Facebook Pixel and Google Ads remarketing code.
The proportion of visitors not being measured can be massive – over 78% in the case of the Professional Speaking Association for example.
There is a strong downward trend in the proportion of visitors that can be measured.
This presents challenges for all organizations. I recommend:

Understanding and monitoring the level of misreporting of your users. This will inform the level of trust you can have in any tools affected.
Focusing on the most important metrics. e.g. email clicks, number of orders and average order values. These are not affected by ad blockers.
Consider using alternative technology. e.g. website log file analysis to understand website use. But only if these data provide insights that drive useful actions.]]></description>
<dc:subject>statistics analytics googleanalytics webdevelopment webserver</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Aetles/b:3b9010539ba7/</dc:identifier>
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<item rdf:about="http://students.brown.edu/seeing-theory/">
    <title>Seeing Theory</title>
    <dc:date>2017-05-05T14:48:25+00:00</dc:date>
    <link>http://students.brown.edu/seeing-theory/</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.]]></description>
<dc:subject>math statistics education</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Aetles/b:c00842f14fee/</dc:identifier>
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<item rdf:about="http://theconversation.com/maybe-moderate-drinking-isnt-so-good-for-you-after-all-72266">
    <title>Maybe moderate drinking isn't so good for you after all</title>
    <dc:date>2017-04-23T11:38:06+00:00</dc:date>
    <link>http://theconversation.com/maybe-moderate-drinking-isnt-so-good-for-you-after-all-72266</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[We generally assume moderate drinking (two standard drinks per day) is good for our health.

This idea comes from studies over the past three decades showing moderate drinkers are healthier and less likely to die prematurely than those who drink more, less, or don’t drink at all.

I would be glad if this were true.

But our latest research challenges this view. We found while moderate drinkers are healthier than relatively heavy drinkers or non-drinkers, they are also wealthier. When we control for the influence of wealth, then alcohol’s apparent health benefit is much reduced in women aged 50 years or older, and disappears completely in men of similar age.]]></description>
<dc:subject>health research statistics alcohol humanbody drinking</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Aetles/b:a23d19404b5c/</dc:identifier>
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<item rdf:about="http://mcfunley.com/whom-the-gods-would-destroy-they-first-give-real-time-analytics">
    <title>Dan McKinley :: Whom the Gods Would Destroy, They First Give Real-time Analytics</title>
    <dc:date>2015-08-25T13:26:05+00:00</dc:date>
    <link>http://mcfunley.com/whom-the-gods-would-destroy-they-first-give-real-time-analytics</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[For all of these reasons I've come to view delayed analytics as positive. The turnaround time also imposes a welcome pressure on experimental design. People are more likely to think carefully about how their controls work and how they set up their measurements when there's no promise of immediate feedback.

Real-time web analytics is a seductive concept. It appeals to our desire for instant gratification. But the truth is that there are very few product decisions that can be made in real time, if there are any at all. Analysis is difficult enough already, without attempting to do it at speed.]]></description>
<dc:subject>analytics statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Aetles/b:1e15ccff6f16/</dc:identifier>
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<item rdf:about="http://zachwill.com/flappy-bird/">
    <title>Flappy Bird by the Numbers</title>
    <dc:date>2014-02-10T12:09:43+00:00</dc:date>
    <link>http://zachwill.com/flappy-bird/</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[After hearing about Flappy Bird the past couple days, I decided to download its 68,000 iTunes reviews last night. I explain some of the technical details down below, but I honestly don’t think that’s the most interesting story here. In fact, while the internet keeps pushing The Verge’s $50,000-a-day story about the app, I think the onslaught of Flappy Bird downloads that’s happened in the past two weeks is a much more interesting storyline.]]></description>
<dc:subject>appstore apps statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Aetles/b:3a559e3f18b7/</dc:identifier>
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<item rdf:about="http://jonmillward.com/blog/studies/deep-inside-a-study-of-10000-porn-stars/">
    <title>Deep Inside - A Study of 10,000 Porn Stars | Jon Millward - Blog</title>
    <dc:date>2013-02-19T09:59:00+00:00</dc:date>
    <link>http://jonmillward.com/blog/studies/deep-inside-a-study-of-10000-porn-stars/</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[I thought that maybe if the women are overestimating how light they are, they might also be a bit too generous when reporting their measurements. It turns out they probably aren’t though, because the most common bra size for a female porn star is a surprisingly handleable 34B. Not double-D, not even a D. Double-D actually came in 4th, behind B, C and D. The most common set of measurements for the women was 34–24-34.

So, if the average female porn star is a 5’5″ woman who weighs 117lbs and has B-cup breasts, what colour is her hair? Blonde, presumably, if my friends’ guesses were anything to go by.

 Apparently not. Dark-haired porn stars outnumber blonde ones almost 2-to-1.]]></description>
<dc:subject>data statistics porn usa</dc:subject>
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<item rdf:about="http://www.advanced-web-metrics.com/blog/2012/01/03/google-analytics-implementation-checklist/">
    <title>A 10-Point Check List to Setup Your Google Analytics Properly | Measuring Success</title>
    <dc:date>2012-01-17T19:57:00+00:00</dc:date>
    <link>http://www.advanced-web-metrics.com/blog/2012/01/03/google-analytics-implementation-checklist/</link>
    <dc:creator>Aetles</dc:creator><description><![CDATA[You want your Google Analytics account to serve as a solid tool for your website measurement, analysis, and optimization. After all, you are taking important business decisions that will affect your online performance, based on that data. Can you afford to rely on partial, inaccurate or otherwise misaligned data? You must have your tool properly setup to meet your website goals and your tracking needs.
Below I provide my tips on common technical configurations that you should check. A default implementation will provide you with information regarding your visitors. However, the techniques below provide you with the level of data accuracy and insight so that the tool will serve its ultimate purpose: improve conversion rates.]]></description>
<dc:subject>google googleanalytics statistics analytics</dc:subject>
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