<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/">
	<channel>
		<title>Brute force first target data... M4L</title>
		<link>/blogentry/199676</link>
		<atom:link href="https://www.lotterypost.com/rss/blogcomments/199676" rel="self" type="application/rss+xml" />
		<description>hypersoniq's Blog: Brute force first target data... M4L</description>
		<dc:language>en-us</dc:language>
		<generator>Lottery Post RSS Generator</generator>
		<item>
			<title>Original Blog Entry: Brute force first target data... M4L</title>
			<link>/blogentry/199676</link>
			<guid isPermaLink="true">/blogentry/199676</guid>
			<pubDate>Sat, 11 Jul 2026 15:18:40 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>Since there is not yet enough history and PA did not update their old game hooks to the database since cash 4 life, I will look to another of the participating states to grab the data. A simple script to print the white balls to csv should suffice. A format like<br /><br />WB1 - difference - WB2 - difference .... WB 5 will be row 1<br /><br />difference - - difference is row 2<br /><br />Next draw, repeat.<br /><br />That will show the changes row to row and column to column. The cash ball will only have the row to row difference.<br /><br />Cell formatting can color the backgrounds to encode info like O/E.<br /><br />Nothing written in stone, just searching for things that hold, generalizations based on pure observation.<br /><br />There may not be a direct pattern in the numbers at face value, but maybe some other information can be used to find some pattern that holds.<br /><br />Then there are some concepts that I would like to look at such as a scoring matrix for combo selection. This would be extremely off the deep end for lottery analysis but nothing has worked so far so why not? It also helps lay the foundation began by follower Markov chains into full blown hidden Markov models. Just now starting to understand the function of HMMs in other applications.... &#x5b;&#xa0;<a href="/blogentry/199676">More</a>&#xa0;&#x5d;</p>]]></description>
			<category>Blog Entry</category>
			<category>hypersoniq</category>
			<wfw:comment>https://www.lotterypost.com/blogentry/199676</wfw:comment>
		</item>
	</channel>
</rss>

