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| . [[ Mehran Gul | https://mehrangul.com/ ]] . 2026 . Bvtn Lib 338.084 | . [[ https://mehrangul.com/ | Mehran Gul ]] . 2026 . Bvtn Lib 338.084 |
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| .p115n [[ https://www.radixdlt.com/blog/blockchains-are-broken-here-is-why | Radix Blog 2018 Feb. 8 "Why blockchains don't scale" | .p115n [[ https://www.radixdlt.com/blog/blockchains-are-broken-here-is-why | Radix Blog 2018 Feb. 8 "Why blockchains don't scale" ]] |
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| . '''wrong!''' Neither Mehran Gul nor blogger Dan Hughes mentions [[ https://en.wikipedia.org/wiki/Merkle_tree | Merkel Trees ]], which is how many individual transaction hashes are combined into trees of hierarchical hashes and and one top hash. For a binary tree of N transactios, the hash process to VERIFY '''ONE''' individual transaction uses order log2(N) time. Tracing a single transaction out of a million transactions takes only twice as long as one out of a thousand transactions, and one out of a trillion takes only twice as long as a million. Meanwhile, computation continues to get faster, hence as the tree grows from a million to a trillion, the hardware speed will more than double, and the verification time will become smaller. . organizing and distributing all that data is a challenge; the global cost of that may be much larger than the block reward in bitcoins, but that cost is distributed among thousands (millions?) of miners and aggregators |
. '''Wrong!''' Neither Mehran Gul nor blogger Dan Hughes mentions [[ https://en.wikipedia.org/wiki/Merkle_tree | Merkel Trees ]], which is how many individual transaction hashes are combined into trees of hierarchical hashes and and one root hash. For a binary tree of N transactions, the hash process to VERIFY '''ONE''' individual transaction uses order log2(N) time. Tracing a single transaction out of a million transactions takes only twice as long as one out of a thousand transactions, and one out of a trillion takes only twice as long as a million. Meanwhile, computation continues to get faster, hence as the tree grows from a million to a trillion, the hardware speed will more than double, and the verification time will become smaller. . Organizing and distributing all that data is a challenge; the global cost of that may be much larger than the block reward in bitcoins, but that cost is distributed among thousands (millions?) of miners and aggregators |
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The New Geography of Innovation
The Global Contest for Breakthrough Technologies
Mehran Gul . 2026 . Bvtn Lib 338.084
.p001 Introduction , Cpitalism with an Emoji Face
p009 Fig 1: Top ten #private >$B tech companies - US 1720, China 438, UK 183, Israel 119, India 117 ... 10
- p010 Fig 2: Top ten venture dollars invested - US 190.2, China 38.5 , UK 16.2, India 13.5, ... 3.4
- p012 Fig 4: WIPO Global Innovation Index - Switzerland 66, Sweden 62.6, US 61.7, ... 56.6 China
.p015 Ch1 . The Precocious Student
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.p055 Ch2 . Steeples of Excellence
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.p097 Ch3 . Busting Monasteries
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p115n Radix Blog 2018 Feb. 8 "Why blockchains don't scale"
- "Every node processes each and every transaction, keeping a record of the entire blockchain."
Wrong! Neither Mehran Gul nor blogger Dan Hughes mentions Merkel Trees, which is how many individual transaction hashes are combined into trees of hierarchical hashes and and one root hash. For a binary tree of N transactions, the hash process to VERIFY ONE individual transaction uses order log2(N) time. Tracing a single transaction out of a million transactions takes only twice as long as one out of a thousand transactions, and one out of a trillion takes only twice as long as a million. Meanwhile, computation continues to get faster, hence as the tree grows from a million to a trillion, the hardware speed will more than double, and the verification time will become smaller.
- Organizing and distributing all that data is a challenge; the global cost of that may be much larger than the block reward in bitcoins, but that cost is distributed among thousands (millions?) of miners and aggregators
- p116n 2014 New Yorker, 2024 Dec. 15 John Colapinto "Material Question"
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- here is where I stopped reading; another library patron wants the book. The book isn't great, so I may not request it again
.p137 Ch4 . Hyper Gap
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.p168 Ch5 . Smart Nation
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.p201 Ch6 . Small Wonder
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.p236 Ch7 . The New Mittelstand
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.p267 Ch8 . Importing Genius
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.p300 Conclusion . Social Animals
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