explanation of methods

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@@ -65,7 +65,7 @@ <h1>2020 United States Presidential Election Model</h1>
       Hi, I'm Wyatt Entrekin, a 3rd-year Industrial Engineering student at the Georgia Institute of Technology
       with a strong interest in data analysis and a fascination with electoral politics.
       I created this election model as the result of a desire to develop my programming skills and a near obsession with the topic.
-      Below, you will see the results of the model, as well as explanation of the methods I used to produce the data you're looking at.
+      Below, you will see the results of the model, an explanation of the methods I used to produce the data you're looking at, and some interesting insights I gathered from these results.
       If you have any questions, wish to connect professionally, or are interested in learning more about the project,
       feel free to email me at <b>wmentrekin@gmail.com</b>,
       connect with me on <b><a href="https://www.linkedin.com/in/wentrekin/">LinkedIn</a></b>,
@@ -74,7 +74,7 @@ <h1>2020 United States Presidential Election Model</h1>
   </header>
 
   <section>
-    <h2>Methods</h2>
+    <h1>Methods</h1>
     <p>
       <b>Disclaimer</b>: This model is not an official prediction. I am in no way attesting to its potential accuracy or claiming it to be correct. 
       The point of this project was to be a learning exercise for me as well as an outlet for an interest of mine. The data you see here is purely a result 
@@ -101,6 +101,8 @@ <h2>Methods</h2>
     </p>
   </section>
 
+  <h1>Results</h1>
+
   <div class="container">
     <h2>Average Margin of Victory</h2>
     <img src="results/map.png" alt="Average Margin of Victory" width="800" height="536">
@@ -129,10 +131,12 @@ <h2>Average Margin of Victory</h2>
     </div>
   </div>
 
+  <h1>Insights</h1>
+
 </body>
 
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+</html>