diff --git a/analysis/README.md b/analysis/README.md
index 39b938b..77c6662 100644
--- a/analysis/README.md
+++ b/analysis/README.md
@@ -244,7 +244,7 @@ First, a plot of average values for each protocol:
 
 This reveals a linear distribution of values among the protocols, aside from exponential curves only at the extremes. Perhaps the most interesting finding is a skew toward the higher end of the scale, associated with softness. Even relatively hard, technical protocols appear to have significant soft characteristics.
 
-The protocol value averages have a mean of 5.45 and a median of 5.48. In comparison to the midpoint of 5, the normalized midpoint deviation is 0.11. In comparison, the Pearson coefficient measures the skew at just -0.07, which means that the relative skew of the data is actually slightly downward. So the distribution of protocol values is very balanced but has a consistent upward deviation from the scale's baseline. (These calculations are in `data/synthetic_1.2.6/readings-analysis.odt[averages]`.)
+The protocol value averages have a mean of 5.44 and a median of 5.48. In comparison to the midpoint of 5, the normalized midpoint deviation is 0.11. Skewness is very slight and slightly negative (Fisher moment skew −0.03; Pearson −0.13), meaning the distribution of protocol values is very balanced but has a consistent upward deviation from the scale's baseline. (These calculations come from `scripts/univariate_analysis.py`; summary text in `data/synthetic_1.2.6/analysis/reports/univariate_summary.txt`. Earlier ad-hoc calculations are in `data/synthetic_1.2.6/readings-analysis.odt[averages]`.)
 
 Second, a plot of average values for each gradient (with gaps to indicate the three groupings of gradients):