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/ 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: Updated to work with WordPress 2.1 alpha by M. Heilemann. */ 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 $wpdb; function clamp($min, $max, $val) { return max($min,min($max,$val)); } $usetimesince = function_exists('time_since'); // Work nicely with Dunstan's Time Since plugin (adapted by Michael Heilemann) // This is compensating for the lack of subqueries in mysql 3.x // The approach used in previous versions needed the user to // have database lock and create tmp table priviledges. // This uses more queries and manual DISTINCT code, but it works with just select privs. if(!$hide_pingbacks_and_trackbacks) $ping = ""; else $ping = "AND comment_type<>'pingback' AND comment_type<>'trackback'"; $posts = $wpdb->get_results("SELECT comment_post_ID, post_title FROM ($wpdb->comments LEFT JOIN $wpdb->posts ON (comment_post_ID = ID)) WHERE comment_approved = '1' AND $wpdb->posts.post_status='publish' $ping ORDER BY comment_date DESC;"); $seen = array(); $num = 0; if($fade_old) { $max_time = $range_in_days * 24 * 60 * 60 ; $r_new = hexdec(substr($new_col, 1, 2)); $r_old = hexdec(substr($old_col, 1, 2)); //$r_min = min($min, $max); //$r_max = max($min, $max); $r_range = ($r_old-$r_new); $g_new = hexdec(substr($new_col, 3, 2)); $g_old = hexdec(substr($old_col, 3, 2)); //$g_min = min($min, $max); //$g_max = max($min, $max); $g_range = ($g_old-$g_new); $b_new = hexdec(substr($new_col, 5, 2)); $b_old = hexdec(substr($old_col, 5, 2)); //$b_min = min($min, $max); //$b_max = max($min, $max); $b_range = ($b_old-$b_new); } // print "ranges: $r_range, $g_range, $b_range
    "; // print "r: ".(0.5*$r_range+$r_new)."
    "; foreach($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 $wpdb->comments WHERE comment_approved = '1' AND comment_post_ID = '".$post->comment_post_ID."' $ping ORDER BY comment_date DESC LIMIT $num_comments;"); $count = $wpdb->get_var("SELECT COUNT(comment_ID) AS c FROM $wpdb->comments WHERE comment_post_ID = $post->comment_post_ID AND comment_approved = '1' ".$ping); $i = 0; $link = get_permalink($post->comment_post_ID); if($usetimesince) $title = " title=\"Last comment was ".time_since($comment->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; $r = round($diff/$max_time*($r_range))+$r_new; $r = clamp(min($r_new, $r_old), max($r_new, $r_old), $r); $g = round($diff/$max_time*($g_range))+$g_new; $g = clamp(min($g_new, $g_old), max($g_new, $g_old), $g); $b = round($diff/$max_time*($b_range))+$b_new; $b = clamp(min($b_new, $b_old), max($b_new, $b_old), $b); $r_hex = str_pad(dechex($r), 2, '0', STR_PAD_LEFT); $g_hex = str_pad(dechex($g), 2, '0', STR_PAD_LEFT); $b_hex = str_pad(dechex($r), 2, '0', STR_PAD_LEFT); $colstr = " style=\"color: #".$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"; } } ?> What Happens When Housing Supply Meets Demand | Pluranomics.com

    Small silhouette of Doug Wolkon WELCOME TO PLURANOMICS, THE ECONOMICS OF MANY.

    What Happens When Housing Supply Meets Demand

    So often I am asked if I think home prices are going up or down. I remember in 2004 sitting around a big conference table with my private equity partners answering this same question (we financed large condo projects and bought raw land parcels to resell to home builders). And even with the 30%+ drop in housing prices in America from their peak in 2006, my then most unpopular answer has not changed, its still “down”.

    According to the National Association of Realtors total housing inventory at the end of April rose 8.8 percent to almost 3.97 million existing homes available for sale. So how do these inventory numbers equate to price? Well, even if you didn’t major in economics, at some point you were taught that supply must meet demand to establish a true market price; or a price where the product will sell. For example, in the stock market, a stock price is continuously reset up or down in order for supply (sellers) to meet demand (buyers) for a stock.

    In contrast, sellers of houses are asking one price (we are assuming they are truly sellers) and buyers are demanding another; so supply is increasing without regards to demand, and thus true price remains undetermined. However, we can definitively determine that as large inventories remain, home prices must go lower for supply to meet demand. So how much lower? 

    Well imagine if all 3.9 million homes currently for sale were forced to sell in real time, like in the stock market or any other fluid or liquid market. Imagine if home supply met demand and a real price in real time was actually established. Yes, every home for sale in Florida, Southern California, Arizona and Nevada and every luxury condo with a “For Sale” sign (again, we are assuming they are truly sellers) scattered across America had ONE DAY to sell regardless of the price. Imagine…

    That price, determined in that one day, is where supply meets demand. How low would the sellers have to go to meet the prices demanded of buyers in order to liquidate all 3.9 million homes? Whatever that number is, it represents the real market value and thus real market price of our homes. 

    So as you can imagine, prices still have a long way to fall before supply meets demand.


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