Pokernomics at Flopped the Nuts

Michael Heilemann.
If you have Dunstan's Time Since installed, this plugin uses it for the title="" attributes on the comments and posts. (For WordPress 1.5) Author: Brian Meidell Author URI: http://meidell.dk/blog Version 1.5: Now works without LOCK TABLE and CREATE TEMPORARY TABLE priviledges. Version 1.5.1: Can't remember what I did here Version 1.5.2: Fixed count select statement to not include spammy comments Version 1.5.3: Properly excludes track- and pingbacks Version 1.5.4: Excludes posts that are not published, even if they have comments Version 1.5.5: Fade old comments, fixed bug that wreaked havoc with Time Since Version 1.5.6: Bugfix from Jonas Rabbe (http://www.jonas.rabbe.com/) pertaining to timesince Version 1.5.7: Bugfix so old colors can be darker than new colors (stupid oversight), thanks to http://spiri.dk for spotting it. Bugfix where single digit hex would cause invalid colors, thanks to http://www.wereldkeuken.be/ for the fix. Version 1.5.8: Bugfix from Matthias Schutz regarding time_since. Version 1.5.9: Added function redefiniotion protection if people use the plugin in several places */ function blc_latest_comments($num_posts = 5, $num_comments = 6, $hide_pingbacks_and_trackbacks = true, $prefix = "

", $postfix = "

", $fade_old = true, $range_in_days = 10, $new_col = "#444444", $old_col = "#cccccc") { global $wpdb, $tablecomments, $tableposts; if(!function_exists('blc_clamp')) { function blc_clamp($min, $max, $val) { return max($min,min($max,$val)); } } function get_channel($col, $offset) { return hexdec(substr($col, $offset, 2)); } function channels($col) { $r = get_channel($col, 1); $g = get_channel($col, 3); $b = get_channel($col, 5); return array($r, $g, $b); } $max_time = $range_in_days * 24 * 60 * 60 ; function scale_channel($old, $new, $diff, $max_time) { $range = $old - $new; $c = round($diff/$max_time*($range))+$new; $c = blc_clamp(min($new, $old), max($new, $old), $c); $c_hex = str_pad(dechex($c), 2, '0', STR_PAD_LEFT); return $c_hex; } $usetimesince = function_exists('time_since'); // Work nicely with Dunstan's Time Since plugin (adapted by Michael Heilemann) // This is compensating for the lack of subqueries in mysql 3.x // The approach used in previous versions needed the user to // have database lock and create tmp table priviledges. // This uses more queries and manual DISTINCT code, but it works with just select privs. if(!$hide_pingbacks_and_trackbacks) $ping = ""; else $ping = "AND comment_type<>'pingback' AND comment_type<>'trackback'"; $posts = $wpdb->get_results("SELECT comment_post_ID, post_title FROM ($tablecomments LEFT JOIN $tableposts ON (comment_post_ID = ID)) WHERE comment_approved = '1' AND $tableposts.post_status='publish' $ping ORDER BY comment_date DESC;"); $seen = array(); $num = 0; if($fade_old) { list($r_new, $g_new, $b_new) = channels($new_col); list($r_old, $g_old, $b_old) = channels($old_col); } foreach($posts as $post) { // The following 5 lines is a manual DISTINCT and LIMIT, // since mysql 3.x doesn't allow you to control which way a DISTINCT // select merges multiple entries. if(array_key_exists($post->comment_post_ID, $seen)) continue; $seen[$post->comment_post_ID] = true; if($num++ > $num_posts) break; $commenters = $wpdb->get_results("SELECT *, UNIX_TIMESTAMP(comment_date) AS unixdate FROM $tablecomments WHERE comment_approved = '1' AND comment_post_ID = '".$post->comment_post_ID."' $ping ORDER BY comment_date DESC LIMIT $num_comments;"); $count = $wpdb->get_var("SELECT COUNT(comment_ID) AS c FROM $tablecomments WHERE comment_post_ID = $post->comment_post_ID AND comment_approved = '1' ".$ping); $i = 0; $link = get_permalink($post->comment_post_ID); if($usetimesince) $title = " title=\"Last comment was ".time_since($commenters[0]->unixdate)." ago\""; else $title = ""; echo $prefix."".stripslashes($post->post_title). " ".$count."
\n"; foreach($commenters as $commenter) { if($usetimesince) $title = " title=\"Posted ".time_since($commenter->unixdate)." ago\""; if($fade_old) { $diff = time() - $commenter->unixdate; $r_hex = scale_channel($r_old, $r_new, $diff, $max_time); $g_hex = scale_channel($g_old, $g_new, $diff, $max_time); $b_hex = scale_channel($b_old, $b_new, $diff, $max_time); $colstr = " style=\"color: #".$r_hex.$g_hex.$b_hex.";\""; } if($i++ > 0) echo ", "; echo "comment_ID."\"$title>".stripslashes($commenter->comment_author).""; } if($count > $num_comments) echo " [...]"; echo "".$postfix."\n"; } } ?> Pokernomics at Flopped the Nuts

Pokernomics

Published by Textbook 3 years, 1 month ago in Online Poker, In the News

Steven Levitt, economics wunderkind and co-author of one of my favorite recent reads, Freakonomics (which has a blog), is taking on poker:

Every day, over 187 million dollars are wagered at online poker tables by over 2 million players worldwide. Recently, companies such as Poker Tracker have made keeping records of one’s own play extremely easy. Individuals can now store tens of thousands, even millions of their own hands on their computers almost effortlessly. We at pokernomics.com are requesting that people send us their hand histories for analysis. We are particularly interested in analyzing the game of Texas Hold’em due to its immense popularity in the world of online poker.

Interesting. I’m actually not sure I have enough of a hand history to participate (he’s looking for 10,000 hands or more), but I’ll have to take a look.

In order to perform your free analysis, it is crucial that your 10,000 hands be for real money and include your hole cards. And of course, the more data you send us the better will be your analysis. Steven Levitt is an expert at statistical analysis and will deliver personally targeted advice on how maximize your profits while playing online. Depending on the stakes you play at and how frequently you play, such advice could save you hundreds or even thousands of dollars in losses in the long run.

2 Responses to “Pokernomics”

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1 da kine Jul 19th, 2005 at 3:54 pm

This could be a positive or negative. If the analysis leads one to get a proper analysis of their game and improve based on said analysis: great. If this becomes open material for players to research one another, you just gave up your strategy, et al.: not so great.
2 Textbook Jul 19th, 2005 at 4:49 pm

It says right in there that an individual’s analysis wouldn’t be shared with anyone else.
So, you get analysis target for yourself, and then eventually there will be aggregated analysis based on everyone (”People generally overplay AK in early position” or something like that.).

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