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#histogram

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Emus for Entropy<p>1 pref Votes for "Others" may be higher than those for the FLIBS+NATS</p><p>Not a surprise. Not alarming. </p><p>*Nice visualisations *.</p><p><a href="https://www.abc.net.au/news/2025-05-10/election-results-independents-rising-charts/105267162" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">abc.net.au/news/2025-05-10/ele</span><span class="invisible">ction-results-independents-rising-charts/105267162</span></a></p><p>Scroll away.</p><p><a href="https://theblower.au/tags/Auspol" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Auspol</span></a> <a href="https://theblower.au/tags/Democracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Democracy</span></a> <a href="https://theblower.au/tags/Histogram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Histogram</span></a> <a href="https://theblower.au/tags/Analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Analysis</span></a></p>
Evan Light<p>TIL about Enumerable#tally and of course this exists. Little surprised it's not <a href="https://tenforward.social/tags/histogram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histogram</span></a> but ok</p>
Yao Yue 岳峣<p>For part 2 of the Understanding Latency Series, we are doing a bit of mixing and matching.</p><p>Perhaps you have heard of "Tail At Scale", the CACM article that periodically made the rounds in the last decade. In this post, we provided interactive charts so you can play with that kind of setup and *see* for yourself the profound effect of simply issuing multiple requests at once.</p><p><a href="https://iop.systems/blog/composite-latency/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">iop.systems/blog/composite-lat</span><span class="invisible">ency/</span></a></p><p><a href="https://macaw.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>performance</span></a> <a href="https://macaw.social/tags/latency" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>latency</span></a> <a href="https://macaw.social/tags/histogram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histogram</span></a> <a href="https://macaw.social/tags/distributedsystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributedsystems</span></a></p>
Yao Yue 岳峣<p>If a better understanding of service runtime and learning to improve software performance is part your 2024 resolution (or not), may I suggest you start with a series of articles I am writing under the theme, Understanding Latency Series? </p><p>The first post, Latency Is A Curve, answers an existential question—how do you approach latency, after all?</p><p><a href="https://iop.systems/blog/latency-is-a-curve/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">iop.systems/blog/latency-is-a-</span><span class="invisible">curve/</span></a></p><p><a href="https://macaw.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>performance</span></a> <a href="https://macaw.social/tags/runtime" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>runtime</span></a> <a href="https://macaw.social/tags/latency" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>latency</span></a> <a href="https://macaw.social/tags/histogram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histogram</span></a> <a href="https://macaw.social/tags/iopsystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>iopsystems</span></a></p>
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