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1 files changed, 4 insertions, 4 deletions

diff --git a/content/know/concept/conditional-expectation/index.pdc b/content/know/concept/conditional-expectation/index.pdc
index 5bcc152..5a8f07e 100644
--- a/content/know/concept/conditional-expectation/index.pdc
+++ b/content/know/concept/conditional-expectation/index.pdc
@@ -77,10 +77,10 @@ $$\begin{aligned}
 Recall that because $Y$ is a random variable,
 $\mathbf{E}[X|Y] = f(Y)$ is too.
 In other words, $f$ maps $Y$ to another random variable,
-which, due to the *Doob-Dynkin lemma*
-(see [$\sigma$-algebra](/know/concept/sigma-algebra/)),
-must mean that $\mathbf{E}[X|Y]$ is measurable with respect to $\sigma(Y)$.
-Intuitively, this makes some sense:
+which, thanks to the *Doob-Dynkin lemma*
+(see [random variable](/know/concept/random-variable/)),
+means that $\mathbf{E}[X|Y]$ is measurable with respect to $\sigma(Y)$.
+Intuitively, this makes sense:
 $\mathbf{E}[X|Y]$ cannot contain more information about events
 than the $Y$ it was calculated from.