diff --git a/rubin_sim/maf/metrics/mo_metrics.py b/rubin_sim/maf/metrics/mo_metrics.py
index 771f66f6b..8d574e283 100644
--- a/rubin_sim/maf/metrics/mo_metrics.py
+++ b/rubin_sim/maf/metrics/mo_metrics.py
@@ -376,7 +376,7 @@ def run(self, sso_obs, orb, hval):
                 sso_obs[self.night_col][vis][good_idx] - sso_obs[self.night_col][vis][good_idx][sIdx]
                 <= self.t_window
             )[0]
-            end_idxs[i] = np.array([in_window.max()])
+            end_idxs[i] = in_window.max()
         # Convert back to index based on sso_obs[vis] (sorted by expMJD).
         start_idxs = good_idx[start_idxs]
         end_idxs = good_idx_ends[end_idxs]
diff --git a/rubin_sim/maf/slicers/base_slicer.py b/rubin_sim/maf/slicers/base_slicer.py
index bdaa1757d..41418585a 100644
--- a/rubin_sim/maf/slicers/base_slicer.py
+++ b/rubin_sim/maf/slicers/base_slicer.py
@@ -64,7 +64,7 @@ class BaseSlicer(metaclass=SlicerRegistry):
         The value the Slicer uses to fill masked metric data values
     """
 
-    def __init__(self, verbose=True, badval=-666):
+    def __init__(self, verbose=False, badval=-666):
         self.verbose = verbose
         self.badval = badval
         # Set the cache_size.
@@ -419,7 +419,10 @@ def read_data(self, infilename):
         try:
             slicer = getattr(slicers, slicer_name)(**slicer_init)
         except TypeError:
-            warnings.warn(f"Cannot use saved slicer init values; falling back to defaults for {infilename}")
+            if self.verbose:
+                warnings.warn(
+                    f"Cannot use saved slicer init values; falling back to defaults for {infilename}"
+                )
             slicer = getattr(slicers, slicer_name)()
         # Restore slice_point information.
         slicer.nslice = slicer_nslice
@@ -489,7 +492,10 @@ def read_backwards_compatible(self, restored, infilename):
         try:
             slicer = getattr(slicers, slicer_name)(**slicer_init)
         except TypeError:
-            warnings.warn(f"Cannot use saved slicer init values; falling back to defaults for {infilename}")
+            if self.verbose:
+                warnings.warn(
+                    f"Cannot use saved slicer init values; falling back to defaults for {infilename}"
+                )
             slicer = getattr(slicers, slicer_name)()
         # Restore slice_point information.
         slicer.nslice = slicer_nslice
diff --git a/rubin_sim/maf/utils/obs2sqlite.py b/rubin_sim/maf/utils/obs2sqlite.py
index 64e020ee7..7101ba0a1 100644
--- a/rubin_sim/maf/utils/obs2sqlite.py
+++ b/rubin_sim/maf/utils/obs2sqlite.py
@@ -6,10 +6,10 @@
 import healpy as hp
 import numpy as np
 import pandas as pd
+from rubin_scheduler.utils import Site, _approx_ra_dec2_alt_az, m5_flat_sed, raDec2Hpid
 
 import rubin_sim.skybrightness_pre as sb
 from rubin_sim.skybrightness import SkyModel
-from rubin_sim.utils import Site, _approx_ra_dec2_alt_az, m5_flat_sed, raDec2Hpid
 
 
 def obs2sqlite(
diff --git a/rubin_sim/moving_objects/direct_obs.py b/rubin_sim/moving_objects/direct_obs.py
index 3658fc0e6..d3e361e3f 100644
--- a/rubin_sim/moving_objects/direct_obs.py
+++ b/rubin_sim/moving_objects/direct_obs.py
@@ -106,7 +106,7 @@ def __init__(
         obs_info="",
         tstep=1.0,
         rough_tol=10.0,
-        verbose=True,
+        verbose=False,
         night_col="night",
         filter_col="filter",
         m5_col="fiveSigmaDepth",
diff --git a/rubin_sim/moving_objects/make_lsst_obs.py b/rubin_sim/moving_objects/make_lsst_obs.py
index 18dd9ecc8..cc4e5c6cc 100755
--- a/rubin_sim/moving_objects/make_lsst_obs.py
+++ b/rubin_sim/moving_objects/make_lsst_obs.py
@@ -160,6 +160,9 @@ def setup_args(parser=None):
         default=None,
         help="Send log output to log_file, instead of to console. (default = console)",
     )
+    parser.add_argument("--verbose", dest="verbose", action="store_true", help="Print more output")
+    parser.set_defaults(verbose=False)
+
     args = parser.parse_args()
 
     if args.simulation_db is None:
@@ -244,6 +247,7 @@ def make_lsst_obs():
         tstep=args.t_step,
         rough_tol=args.rough_tol,
         obs_info=args.obs_info,
+        verbose=args.verbose,
     )
     filterlist = np.unique(pointing_data["filter"])
     d_obs.read_filters(filterlist=filterlist)