diff --git a/src/3_vector_spaces.md b/src/3_vector_spaces.md
index a24d9e432065594d7757b7851e19743e570e876a..5e3f794dcd515cb8b2183eb261e7f97ddc9ef8b0 100644
--- a/src/3_vector_spaces.md
+++ b/src/3_vector_spaces.md
@@ -17,7 +17,7 @@ The lecture on vector spaces consists of two parts, each with their own video:
 <iframe width="100%" height=315 src="https://www.youtube-nocookie.com/embed/fLMdaMuEp8s" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 -->
 
-<iframe width="100%" height=315 src="https://www.dropbox.com/s/evytrbb55fgrcze/linear_algebra_01.mov" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+<iframe width="100%" height=315 src="https://www.dropbox.com/s/evytrbb55fgrcze/linear_algebra_01.mov?raw=1" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
 A vector $\vec{v}$ is essentially a mathematical object characterised by both
 a **magnitude** and a **direction**, that is, an orientation in a given space.