Exploring a Bitcoin Quantum Kanarie: Post 2b

@pibara · 2025-01-22 11:26 · bitcoin

A little add on to my post from yesterday. I completed running the script and turns out I made a few more wrong assumptions that may get in the way of the Kanarie bot implementation.

Here is the overview of the results from the script in terms of numbers of exposed P2PKH adresses. As noted before, Segwit and Taproot adresses were not included in this run. The rows represent the year of the last transaction involving the address. The columns reprecent the lower bound of the order of magnitude of the amount of bitcoin tied to a single address.

10,000+ 1,000+ 100+ 10.0+ 1.0+ 0.1+ 0.01+
2009 1
2010 1 8 28 30 71
2011 182 1,363 1,426 1,455
2012 120 1,058 3,010 3,033
2013 3 165 1,954 7,197 15,258
2014 1 181 2,231 11,753 33,516
2015 178 2,294 16,475 38,256
2016 1 128 2,123 25,930 47,869
2017 287 2,610 13,488 37,965
2018 1 93 1,367 7,459 21,837
2019 2 66 874 5,637 16,008
2020 72 350 1,075 5,456 15,159
2021 52 88 463 2,048 9,090 20,518
2022 2 20 120 1,260 4,589 11,317
2023 12 237 1,161 4,661 4,433 14,903
2024 1 28 250 1,068 4,789 14,470 56,492
2025 18 95 337 1,274 2,986 12,229 75,996

While this already gives insights, I made a second overview of the data but now using the total amount of bitcoin currently tied to each of the sets of addresses. For reference, the total amount of bitcoin tied to P2PKH is currently 8,428,814, and 1,323,824 of that is tied to adresses with exposed public keys that could potentialy be targeted by a quantum computing attack in the future. That is 15.7% of P2PKH address tied bitcoin.

10,000+ 1,000+ 100+ 10.0+ 1.0+ 0.1+ 0.01+
2009 17.49
2010 100.00 120.03 72.93 10.76 2.89
2011 2,934.47 4,117.77 513,13 52.89
2012 2,028.38 2,961.62 1,086.72 110.94
2013 325.57 2,807.95 5,412.39 2,395.57 571.00
2014 123.34 2,972.64 5,954.47 3,488.76 1,165.89
2015 2,870.81 6,364.16 4,771.13 1,314.22
2016 109.00 2,218.65 4,936.82 7,420.03 1,639.22
2017 4,938.55 7,194.37 4,005.09 1,252.54
2018 100.00 1,445.25 3,751.84 2,238.82 697.09
2019 355.85 994.18 2,346.00 1,591.97 497.06
2020 11,483.18 10,577.74 2,764.18 1,721.95 491.04
2021 52,703.53 29,903.53 14,151.91 5,161.91 3,049.78 681.61
2022 2,081.85 6,752.05 2,874.24 3,188.99 1,555.19 371.79
2023 13,927.00 63,847.40 38,516.72 12,888.37 1,509.10 592.10
2024 14.519.94 87,679.49 66,933.65 30,543.09 13,579.04 4,773.25 1,730.35
2025 308,081.13 245,899.93 105,650.18 42,361.62 10,043.77 3,033.90 2,456.69

One thing that stnds out is that most vulnerable funds are actually tied to quite recently used P2PKH adresses, what partially invalidates my strategy of looking just at transactions on adresses that have been dormant since before 2020. This again means that I need to update the script to record every exposed address, not just the dormant adresses I did so far. I can however start at some scripts using the script output I have right now.

I'm very much interested in seeing the 19 adresses in the 10,000+ bitcoin column. Unfortunately right now I can't see which adresses they are untill I've ran the script again.

#bitcoin #qc #quantumcomputing #coinzdense #python #security
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