I had electrum, installed it on Windows 7, I can't say exactly what version of the wallet it was, I don't remember. As for bias, I asked gpt chat to analyze all my signatures from the blockchain, and eventually got an answer (so as not to write too much, I'll publish channels and windows from the code that gpt made for me).  WINDOW_SHIFTS = [
(65, 'R'), (71, 'R'),
(140, 'S'), (141, 'S'), (143, 'S'),
(145, 'S'), (146, 'S'),
(100, 'Z'), (132, 'Z'), Binary channel entropy ———
def entropy(p):
if p in (0,1):
return 0.0
return -p*math.log2(p) - (1-p)*math.log2(1-p)

# ——— 3. Building raw channels from your R, S, Z ———
def build_raw(R, S, Z):
m = len(R)
raw = {}
# 8-bit windows
for shift, typ in WINDOW_SHIFTS:
         seq = {'R':R, 'S':S, 'Z':Z}[typ]
         vals = [(v >> shift) & 0xFF for v in seq]
         mode = max(set(vals), key=vals.count)
         raw[f"{typ}_win{shift}_8"] = [1 if v==mode else 0 for v in vals]
     # individual R bits
     raw['R_bit12'] = [(r>>12)&1 for r in R]
     raw['R_bit168'] = [(r>>168)&1 for r in R]
     raw['R_MSB'] = [(r>>255)&1 for r in R]
     raw['R_and168_140'] = [raw['R_bit168'] & raw['S_win140_8'] for i  in range(m)]
# remainders S mod
for mod in (41,67,79):
vals = [s % mod for s in S] gpt has conducted various analyses and the results are almost always the same, the top 100 signatures have a leak of 3.2 bits per signature, this is on the condition that we did not take channels that give less than 0.3 bits per signature, respectively, for 100 signatures the total leak volume is decent and if you read the work of Biased Nonce Sense, then this is enough for success with a good margin. I really want to believe that this is so, otherwise this is my last lead.