Geriatric Gardener<p>“UK POLICE SPENT THOUSANDS PROTECTING ISRAELI ARMS FIRM”</p><p>by John McEvoy in Declassified UK <span class="h-card" translate="no"><a href="https://mastodonapp.uk/@Declassified_UK" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Declassified_UK</span></a></span> </p><p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/palestine" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>palestine</span></a></span><br><span class="h-card" translate="no"><a href="https://a.gup.pe/u/israel" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>israel</span></a></span><br><span class="h-card" translate="no"><a href="https://mastodon.cloud/@UKLabour" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>UKLabour</span></a></span> </p><p>“Exclusive: Public money spent on guarding Newcastle factory owned by Israel’s ministry of finance, which is run by UK-sanctioned ‘extremist’”</p><p><a href="https://www.declassifieduk.org/uk-police-spent-thousands-protecting-israeli-arms-firm-linked-to-bezalel-smotrich/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">declassifieduk.org/uk-police-s</span><span class="invisible">pent-thousands-protecting-israeli-arms-firm-linked-to-bezalel-smotrich/</span></a></p><p><a href="https://mstdn.social/tags/Press" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Press</span></a> <a href="https://mstdn.social/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UK</span></a> <a href="https://mstdn.social/tags/Police" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Police</span></a> <a href="https://mstdn.social/tags/Israel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Israel</span></a> <a href="https://mstdn.social/tags/Weapons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Weapons</span></a> <a href="https://mstdn.social/tags/Factory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Factory</span></a> <a href="https://mstdn.social/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://mstdn.social/tags/Rafael" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rafael</span></a> <a href="https://mstdn.social/tags/Smotrich" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Smotrich</span></a> <a href="https://mstdn.social/tags/Sanctioned" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sanctioned</span></a> <a href="https://mstdn.social/tags/Protest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Protest</span></a> <a href="https://mstdn.social/tags/PalAction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PalAction</span></a> <a href="https://mstdn.social/tags/Genocide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Genocide</span></a> <a href="https://mstdn.social/tags/Gaza" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gaza</span></a> <a href="https://mstdn.social/tags/FreePalestine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreePalestine</span></a></p>
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#Pearson
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Surveillance Report<p><a href="https://social.lol/tags/Monero" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Monero</span></a> is at risk in <a href="https://social.lol/tags/Europe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Europe</span></a>, education giant <a href="https://social.lol/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> had a data breach, <a href="https://social.lol/tags/Peertube" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Peertube</span></a> has released their mobile app, and more on this week's Surveillance Report!</p><p><a href="https://youtu.be/dGd-ay-ykxg" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/dGd-ay-ykxg</span><span class="invisible"></span></a><br>Audio, RSS, and other sites: <a href="https://surveillancereport.tech" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">surveillancereport.tech</span><span class="invisible"></span></a></p>
PrivacyDigest<p><a href="https://mas.to/tags/Education" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Education</span></a> giant <a href="https://mas.to/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> hit by <a href="https://mas.to/tags/cyberattack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cyberattack</span></a> exposing customer data</p><p>Over the following months, the threat actor reportedly used these credentials to steal terabytes of data from the company's internal network & cloud infrastructure, including AWS, Google Cloud, & various cloud-based DB services such as Snowflake & Salesforce CRM.</p><p>This stolen data allegedly contains customer info, financials, support tickets, & source code, with millions of people impacted.<br><a href="https://mas.to/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a></p><p><a href="https://www.bleepingcomputer.com/news/security/education-giant-pearson-hit-by-cyberattack-exposing-customer-data/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bleepingcomputer.com/news/secu</span><span class="invisible">rity/education-giant-pearson-hit-by-cyberattack-exposing-customer-data/</span></a></p>
Ulfh3dnar<p>At Pearson International Airport in Toronto, Canada, a Delta Airlines passenger plane flying from Minneapolis, USA, was involved in an accident. Eight people were injured, one of whom is in critical condition.</p><p>Rescue and police operations are ongoing.</p><p><a href="https://mastodon.social/tags/Canada" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Canada</span></a> <a href="https://mastodon.social/tags/Toronto" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Toronto</span></a> <a href="https://mastodon.social/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://mastodon.social/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USA</span></a> <a href="https://mastodon.social/tags/PlaneCrash" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PlaneCrash</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>How to assess a statistical model?<br>How to choose between variables?</p><p>Pearson's <a href="https://hachyderm.io/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> is irrelevant if you suspect that the relationship is not a straight line.</p><p>If monotonic relationship:<br>"<a href="https://hachyderm.io/tags/Spearman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spearman</span></a>’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".<br>"<a href="https://hachyderm.io/tags/Kendall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kendall</span></a>’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."<br>Ref: <a href="https://statisticseasily.com/kendall-tau-b-vs-spearman/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticseasily.com/kendall-t</span><span class="invisible">au-b-vs-spearman/</span></a></p><p><a href="https://hachyderm.io/tags/normality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normality</span></a> <a href="https://hachyderm.io/tags/normalDistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normalDistribution</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelEvaluation</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/regressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regressionRedress</span></a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a></p>
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