diff --git a/code/data_processing/cc_qc.py b/code/data_processing/cc_qc.py
index a9c7ecd657e..11ad1e3dd9d 100644
--- a/code/data_processing/cc_qc.py
+++ b/code/data_processing/cc_qc.py
@@ -86,7 +86,17 @@ def cc_qc(self, df, threshold, TS=False):
             CATEGORY = 2
             print(f"FOR TASK SWITCHING -> Average accuracy at or below 0.5 across conditions and CATEGORY set to 2")
 
-        problematic_conditions = QC_UTILS.cond_block_not_reported(raw, self.ACC_COLUMN_NAME, self.COND_COLUMN_NAME, self.INCORRECT_SYMBOL)
+        # Check for blocks/conditions where every response is either incorrect
+        # or not reported. The first argument expects the column that defines
+        # the blocks/conditions and the second is the accuracy column. The
+        # previous implementation mistakenly flipped these arguments which
+        # caused the check to operate on the wrong columns.
+        problematic_conditions = QC_UTILS.cond_block_not_reported(
+            raw,
+            self.COND_COLUMN_NAME,
+            self.ACC_COLUMN_NAME,
+            self.INCORRECT_SYMBOL,
+        )
 
         if len(problematic_conditions) != 0:
             CATEGORY = 3
diff --git a/code/data_processing/mem_qc.py b/code/data_processing/mem_qc.py
index cb98f7a5628..aefb8fadc7b 100644
--- a/code/data_processing/mem_qc.py
+++ b/code/data_processing/mem_qc.py
@@ -68,7 +68,15 @@ def fn_sm_qc(self, df, threshold):
                 print(f"Condition/Block '{condition}' has accuracy == 0% and CATEGORY set to 3")
         avg_acc /= len(accuracy)
 
-        problematic_conditions = QC_UTILS.cond_block_not_reported(raw, self.ACC_COLUMN_NAME, self.COND_COLUMN_NAME, self.INCORRECT_SYMBOL)
+        # Detect any blocks/conditions where all responses are incorrect or
+        # missing. The utility expects the condition column first followed by
+        # the accuracy column; previously these were reversed.
+        problematic_conditions = QC_UTILS.cond_block_not_reported(
+            raw,
+            self.COND_COLUMN_NAME,
+            self.ACC_COLUMN_NAME,
+            self.INCORRECT_SYMBOL,
+        )
 
         if len(problematic_conditions) != 0:
             CATEGORY = 3
diff --git a/code/data_processing/ps_qc.py b/code/data_processing/ps_qc.py
index 53f1f5d0dd2..1cbca4830ab 100644
--- a/code/data_processing/ps_qc.py
+++ b/code/data_processing/ps_qc.py
@@ -90,7 +90,14 @@ def ps_qc(self, submission, threshold, DSST=False):
             CATEGORY = 2
             print(f"FOR DSST -> Average accuracy at or below 0.5 across conditions and CATEGORY set to 2")
 
-        problematic_conditions = QC_UTILS.cond_block_not_reported(raw, self.ACC_COLUMN_NAME, self.COND_COLUMN_NAME, self.INCORRECT_SYMBOL)
+        # Identify blocks/conditions with only incorrect or missing responses.
+        # Arguments were previously inverted, leading to incorrect detection.
+        problematic_conditions = QC_UTILS.cond_block_not_reported(
+            raw,
+            self.COND_COLUMN_NAME,
+            self.ACC_COLUMN_NAME,
+            self.INCORRECT_SYMBOL,
+        )
 
         if len(problematic_conditions) != 0:
             CATEGORY = 3