anchor.diff:  </p>
   <h2>How mature is BayesDB?</h2>
   <div class="alert alert-danger">
  -<p><B>WARNING:</B> BayesDB is rapidly-evolving, <B>alpha-quality</B> research software. Some key ideas behind its design and implementation have yet to be published, documentation is currently sparse, our release engineering is rough. We are sure there are critical bugs everywhere, including in the inference backend.</p></div>
  -<p>
  -We are also humbled and excited by the interest in the project, and are working to improve the situation. If you have feature requests or ideas for applications, please let us know.
  -</p>
  -<p>
  -Also, if you think you might be interested in alpha testing, collaborating, or contributing, please write us! We'd love to hear from you at bayesdb [AT] mit.edu.
  +<p><B>WARNING:</B> BayesDB is rapidly-evolving, <B>alpha-quality</B> research software. Some key ideas behind its design and implementation have yet to be published, documentation is currently sparse, our release engineering is rough, and there may well be front-end and back-end bugs.</p></div>
  +<p>
  +We are humbled and excited by the interest in the project, and are working hard to improve BayesDB's maturity
  +</p>
  +<p>
  +Please send us your application ideas, bug reports, and feature requests. Also, if you think you might be interested in alpha testing, collaborating, or contributing, please write us! We'd love to hear from you at bayesdb [AT] mit.edu.
   </p>
   <h2>What kinds of data and problems is it good for?</h2>
   <p>Versions of BayesDB (and CrossCat) have been tried on datasets including surveys, performance metrics for hospitals, branches of nonprofits, econometric tables, feature vectors extracted from text/images, voting records, and gene expression microarrays. 
  
positive.code: 		<h2>Who and what is BayesDB for?</h2>
  <p>BayesDB is aimed at:</p>
  <ol>
  	<li><p>People without statistics expertise but who have tabular data and questions they'd like to answer.</p></li>
  	<li><p>People with statistics expertise and data who either have a problem that doesn't fit the standard supervised templates (e.g. the data is too sparse) or who want to analyze a dataset but don't have the time or inclination for custom modeling.</p></li>
  </ol>
  <p>
  The main goal is to broaden access to analytics and increase productivity. We also hope it will increase the reliability of the empirical reasoning performed by non-experts, who currently lack the ability to build good models or critique the simplistic models that they do have access to.
  
negative.code: <div class="spacer" height="40px"></div>
  
  <p class="lead">
    Query the probable implications of your tabular data as easily as an SQL database lets you query the data itself.
  </p>
  
  <div class="alert alert-info" align="center">
  