diff --git a/gstlal-inspiral/python/stats/inspiral_extrinsics.py b/gstlal-inspiral/python/stats/inspiral_extrinsics.py
index 5e0c4ed12534516957bce87a78c50d0e7fb75386..518a85d856f5488dc4c69e3a7fb4b45451453153 100644
--- a/gstlal-inspiral/python/stats/inspiral_extrinsics.py
+++ b/gstlal-inspiral/python/stats/inspiral_extrinsics.py
@@ -880,7 +880,7 @@ class NumeratorSNRCHIPDF(rate.BinnedLnPDF):
 		self.norm.shape = (len(self.norm), 1)
 
 	@staticmethod
-	def add_signal_model(lnpdf, n, prefactors_range, df, inv_snr_pow = 4., snr_min = 4., progressbar = None):
+	def add_signal_model(lnpdf, n, prefactors_range, df, inv_snr_pow = 4., snr_min = 3.5, progressbar = None):
 		if df <= 0.:
 			raise ValueError("require df >= 0: %s" % repr(df))
 		pfs = numpy.linspace(prefactors_range[0], prefactors_range[1], 100)
diff --git a/gstlal-inspiral/python/stats/inspiral_lr.py b/gstlal-inspiral/python/stats/inspiral_lr.py
index d04fc0b7519a68fba1fd1ef377f40f0c6189d4d5..5add6472f6d9bcac507883a63192a2884ca06a7f 100644
--- a/gstlal-inspiral/python/stats/inspiral_lr.py
+++ b/gstlal-inspiral/python/stats/inspiral_lr.py
@@ -75,7 +75,7 @@ __all__ = [
 
 class LnLRDensity(snglcoinc.LnLRDensity):
 	# range of SNRs covered by this object
-	snr_min = 4.
+	snr_min = 3.5
 
 	# SNR, \chi^2 binning definition
 	snr_chi_binning = rate.NDBins((rate.ATanLogarithmicBins(2.6, 26., 300), rate.ATanLogarithmicBins(.001, 0.2, 280)))