diff --git a/CommonData/column.cpp b/CommonData/column.cpp
index 4b5fbde2f4..3395c7b7e9 100644
--- a/CommonData/column.cpp
+++ b/CommonData/column.cpp
@@ -1821,9 +1821,9 @@ void Column::labelsOrderByValue(bool doDbUpdateEtc)
 	static double dummy;
 
 	for(Label * label : labels())	
-		if(!label->isEmptyValue() && !(label->originalValue().isDouble() || ColumnUtils::getDoubleValue(label->originalValueAsString(), dummy)))
+		if(!label->isEmptyValue())
 		{
-				replaceAllDoubles = true;
+				replaceAllDoubles = true; // because if there is any label at all it will show up at the end after the doubles without a Label. If this label is a double and the same as the label we could try to turn it back into a non-Label. But it still would break for Labels with a double value and a non-double label. So instead lets just make a label for everything. We keep the doubles only if there are only doubles. This should speed up a lot of operations for massive double datasets so its worth the extra hassle I guess. Just like you, who just read to the end of this line that really really breaks the 80's guideline of 80 characterwide code ;)
 				break;
 		}
 
diff --git a/Desktop/data/computedcolumnmodel.cpp b/Desktop/data/computedcolumnmodel.cpp
index 831bc283c5..f5fb6693eb 100644
--- a/Desktop/data/computedcolumnmodel.cpp
+++ b/Desktop/data/computedcolumnmodel.cpp
@@ -264,7 +264,7 @@ void ComputedColumnModel::recomputeColumn(QString columnName)
 	std::string		colName = fq(columnName);
 	Column		*	col		= dataSet()->column(colName);
 
-	if(col && col->isComputed() && col->codeType() != computedColumnType::analysis && col->codeType() == computedColumnType::analysisNotComputed)
+	if(col && col->isComputed() && col->codeType() == computedColumnType::analysisNotComputed)
 		DataSetPackage::pkg()->columnSetDefaultValues(colName);
 
 	checkForDependentColumnsToBeSent(columnName, col && col->isComputed());
@@ -295,23 +295,23 @@ void ComputedColumnModel::checkForDependentColumnsToBeSent(QString columnNameQ,
 void ComputedColumnModel::checkForDependentAnalyses(const std::string & columnName)
 {
 	Analyses::analyses()->applyToAll([&](Analysis * analysis)
-		{
-			stringset	usedCols	= analysis->usedVariables(),
-						createdCols = analysis->createdVariables();
+	{
+		stringset	usedCols	= analysis->usedVariables(),
+					createdCols = analysis->createdVariables();
 
-			//Dont create an infinite loop please, but do this only for non-computed columns created by an analysis (aka distributions, because otherwise it breaks things like planning from audit)
-			if(usedCols.count(columnName) && (!createdCols.count(columnName) || !DataSetPackage::pkg()->isColumnAnalysisNotComputed(columnName)))
-			{
-				bool allColsValidated = true;
+		//Dont create an infinite loop please, but do this only for non-computed columns created by an analysis (aka distributions, because otherwise it breaks things like planning from audit)
+		if(usedCols.count(columnName) && (!createdCols.count(columnName) || !DataSetPackage::pkg()->isColumnAnalysisNotComputed(columnName)))
+		{
+			bool allColsValidated = true;
 
-				for(Column * col : computedColumns())
-					if(usedCols.count(col->name()) > 0 && col->invalidated())
-						allColsValidated = false;
+			for(Column * col : computedColumns())
+				if(usedCols.count(col->name()) > 0 && col->invalidated())
+					allColsValidated = false;
 
-				if(allColsValidated)
-					analysis->refresh();
-			}
-		});
+			if(allColsValidated)
+				analysis->refresh();
+		}
+	});
 }
 
 void ComputedColumnModel::removeColumn()