diff --git a/scripts/block-import-stats.py b/scripts/block-import-stats.py
index c6d108236..2def0ae56 100644
--- a/scripts/block-import-stats.py
+++ b/scripts/block-import-stats.py
@@ -14,8 +14,13 @@ register_matplotlib_converters()
 
 def readStats(name: str, min_block_number: int):
     df = pd.read_csv(name).convert_dtypes()
-    if df.block_number.iloc[-1] > min_block_number:
-        cutoff = min(df.block_number.iloc[-1] - min_block_number, min_block_number)
+    # at least one item - let it lag in the beginning until we reach the min
+    # block number or the table will be empty
+    if df.block_number.iloc[-1] > min_block_number + df.block_number.iloc[0]:
+        cutoff = min(
+            df.block_number.iloc[-1] - min_block_number,
+            min_block_number,
+        )
         df = df[df.block_number >= cutoff]
     df.set_index("block_number", inplace=True)
     df.time /= 1000000000
@@ -43,7 +48,7 @@ def prettySecs(s: float):
 def formatBins(df: pd.DataFrame, bins: int):
     if bins > 0:
         bins = np.linspace(
-            df.block_number.iloc[0], df.block_number.iloc[-1], bins, dtype=int
+            df.block_number.iloc[0] - df.blocks.iloc[0], df.block_number.iloc[-1], bins, dtype=int
         )
         return df.groupby(pd.cut(df["block_number"], bins), observed=True)
     else:
@@ -68,15 +73,15 @@ parser.add_argument(
 )
 args = parser.parse_args()
 
-baseline = readStats(args.baseline, args.min_block_number)
+baseline = readStats(args.baseline, 0)
 contender = readStats(args.contender, args.min_block_number)
 
 # Pick out the rows to match - a more sophisticated version of this would
 # interpolate, perhaps - also, maybe should check for non-matching block/tx counts
 df = baseline.merge(contender, on=("block_number", "blocks", "txs"))
 
-df["bpsd"] = ((df.bps_y - df.bps_x) / df.bps_x).fillna(0)
-df["tpsd"] = ((df.tps_y - df.tps_x) / df.tps_x).fillna(0)
+df["bpsd"] = ((df.bps_y - df.bps_x) / df.bps_x)
+df["tpsd"] = ((df.tps_y - df.tps_x) / df.tps_x.replace(0, 1))
 df["timed"] = (df.time_y - df.time_x) / df.time_x
 
 df.reset_index(inplace=True)
@@ -131,10 +136,8 @@ print(f"tpsd (mean): {df.tpsd.mean():.2%}")
 time_xt = df.time_x.sum()
 time_yt = df.time_y.sum()
 
-timet = time_yt-df.time_x.sum()
-print(
-    f"Time (total): {prettySecs(timet)}, {(timet/time_xt):.2%}"
-)
+timet = time_yt - df.time_x.sum()
+print(f"Time (total): {prettySecs(timet)}, {(timet/time_xt):.2%}")
 
 print()
 print(
diff --git a/vendor/nim-eth b/vendor/nim-eth
index d935c0de4..c02e050db 160000
--- a/vendor/nim-eth
+++ b/vendor/nim-eth
@@ -1 +1 @@
-Subproject commit d935c0de47a69de58b37b47b601f75f8a05def00
+Subproject commit c02e050db8c60010b1e779d81c9d0f033f88d410
diff --git a/vendor/nimcrypto b/vendor/nimcrypto
index 485f7b3cf..71bca1550 160000
--- a/vendor/nimcrypto
+++ b/vendor/nimcrypto
@@ -1 +1 @@
-Subproject commit 485f7b3cfa83c1beecc0e31be0e964d697aa74d7
+Subproject commit 71bca15508e2c0548f32b42a69bcfb1ccd9ab9ff