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		<title>What the hot and cold data is showing</title>
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		<description>hypersoniq's Blog: What the hot and cold data is showing</description>
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			<title>Original Blog Entry: What the hot and cold data is showing</title>
			<link>/blogentry/190059</link>
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			<pubDate>Sat, 15 Mar 2025 10:58:43 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>After running many passes with varying short term durations one thing is clear. The most popular classification is Neutral, Neutral, Neutral. Regardless of whether I classify over 7 draws or 700, NNN is the most common, not even close with any other set.<br /><br />Why this is problematic... with one standard deviation above and below classified as hot or cold, the numbers that are closer to expectancy far outnumber those that hit H or C.<br /><br />Adding the limited set of follower data, I hope to make it possible to have a better idea of which 3 neutral numbers would appear together within 7 draws. When the classification set is limited to 7 draws, there have been as many as 4 out of 7 showing up as NNN. The basic premise being that picking 3 neutral numbers would yield a better shot at a hit than incorporating the hots or colds... the playable set is reduced by eliminating the outliers . Add to that picking from these many neutral numbers by cross referencing the frequency of followers might yet yield a winning combo.<br /><br />It remains to find the sweet spot for draw numbers, for the X sample base that the hot and cold are derived from AND the shortest period of follower draws to get reliable data.<br /><br />The current set uses 1,000 draws for follower data and 150 draws for hot-cold calcuation.<br /><br />The play system to accompany would be to pick one NNN combo and play 50/50 for 7 days.<br /><br />Not quite ready for a live test, but getting ever closer.... &#x5b;&#xa0;<a href="/blogentry/190059">More</a>&#xa0;&#x5d;</p>]]></description>
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