diff --git a/gstlal-calibration/python/calibration_parts.py b/gstlal-calibration/python/calibration_parts.py
index d54ae80805ab4932c3d57ecd51c99288c55059d8..348a5ff57d116c780799ab4d2556f702009f044e 100644
--- a/gstlal-calibration/python/calibration_parts.py
+++ b/gstlal-calibration/python/calibration_parts.py
@@ -401,9 +401,6 @@ def remove_lines_with_witnesses(pipeline, signal, witnesses, freqs, freq_vars, f
 						tfs_at_f[(i + 1) * len(witnesses[m]) + j] = pipeparts.mkgeneric(pipeline, tf_at_f, "lal_smoothkappas", default_kappa_re = 0.0, default_kappa_im = 0.0, array_size = num_median, avg_array_size = num_avg, default_to_median = True, filter_latency = filter_latency)
 
 			tfs_at_f = mkinterleave(pipeline, tfs_at_f, complex_data = True)
-			# It may be necessary to remove data at the beginning so that data that
-			# is missing do to filtering is not replaced with zeros
-			tfs_at_f = pipeparts.mkgeneric(pipeline, tfs_at_f, "lal_insertgap", chop_length = 1000000000 * int(1 + (1 - filter_latency) * 21))
 			tfs_at_f = pipeparts.mkgeneric(pipeline, tfs_at_f, "lal_matrixsolver")
 			tfs_at_f = mkdeinterleave(pipeline, tfs_at_f, len(witnesses[m]), complex_data = True)
 
@@ -413,8 +410,6 @@ def remove_lines_with_witnesses(pipeline, signal, witnesses, freqs, freq_vars, f
 					reconstructed_line_in_signal = mkmultiplier(pipeline, list_srcs(pipeline, tfs_at_f[i], line_in_witnesses[i]))
 				else:
 					reconstructed_line_in_signal = mkmultiplier(pipeline, list_srcs(pipeline, tfs_at_f[i], line_in_witnesses[i], phase_factor))
-				# It may be necessary to remove the first few samples since line_in_witness may have arrived first, in which case the result of the above multiplication would be line_in_witness
-				reconstructed_line_in_signal = pipeparts.mkgeneric(pipeline, reconstructed_line_in_signal, "lal_insertgap", chop_length = 1000000000)
 				reconstructed_line_in_signal = mkresample(pipeline, reconstructed_line_in_signal, upsample_quality, zero_latency, rate_out)
 				reconstructed_line_in_signal = pipeparts.mkgeneric(pipeline, reconstructed_line_in_signal, "lal_demodulate", line_frequency = -1.0 * freq, prefactor_real = -2.0)
 				reconstructed_line_in_signal = pipeparts.mkgeneric(pipeline, reconstructed_line_in_signal, "creal")