LibraryConsensus1985Design paperCorpus record
Impossibility of Distributed Consensus with One Faulty Process
FLP. Michael J. Fischer, Nancy A. Lynch and Michael S. Paterson.
No deterministic protocol does all three. Any protocol that is always safe has an execution that never decides.
A reading of the public document. Not a copy of it, and not a claim about a later network that reused the name.
If a designer promises deterministic termination with no timing and one crash, they have claimed to overturn this paper.
- Evidence
- Primary paper
- Re-measured
- No
- Assumptions
- 3
- Records linked
- 6
Code
Source, repository, and what is actually hosted
- Journal of the ACMhttps://groups.csail.mit.edu/tds/papers/Lynch/jacm85.pdf
- The source URL is not a GitHub repository. No code remote is invented.
- Full text is not mirrored. Public availability is not a licence to copy the file onto this site.
- Add to a reading list
01 Claim ledger
What the paper is allowed to say
Each row is a sentence already in the study. The status is the same on every row: a model claim, not a live measurement.
Claim 01 · Paper model
The defect
People wanted a finite protocol that always terminates, tolerates one crash, and never forks, in a network with no clocks.
Claim 02 · Paper model
The rule
No deterministic protocol does all three. Any protocol that is always safe has an execution that never decides.
Claim 03 · Paper model
How it is put together
The result is about deterministic asynchronous consensus. Randomness, clocks, or failure detectors are how later systems step around it. It is not a claim that blockchains cannot exist.
Claim 04 · Paper model
Where the claim stops
Quoting FLP against a partially synchronous protocol is a category error.
02 Three cuts
Observation, model, falsifier
A desk does not stop at the summary. Each claim is cut three ways, using only this study's own assumptions and checks. Nothing here is a new figure.
01 The defect
Observation
What the study says
People wanted a finite protocol that always terminates, tolerates one crash, and never forks, in a network with no clocks.
Model
What has to hold
Quoting FLP against a partially synchronous protocol is a category error.
Falsifier
What would retire it
Is the protocol deterministic?
02 The rule
Observation
What the study says
No deterministic protocol does all three. Any protocol that is always safe has an execution that never decides.
Model
What has to hold
Quoting FLP against a partially synchronous protocol is a category error.
Falsifier
What would retire it
What does it do in the execution the proof says never decides?
03 How it is put together
Observation
What the study says
The result is about deterministic asynchronous consensus. Randomness, clocks, or failure detectors are how later systems step around it. It is not a claim that blockchains cannot exist.
Model
What has to hold
It does not say liveness is unimportant.
Falsifier
What would retire it
Is the protocol deterministic?
04 Where the claim stops
Observation
What the study says
Quoting FLP against a partially synchronous protocol is a category error.
Model
What has to hold
Quoting FLP against a partially synchronous protocol is a category error.
Falsifier
What would retire it
Is the protocol deterministic?
03 Sequence
One action, as an operating tape
- 01The proof builds a bivalent state, one that could still decide either way.
- 02A single message can be delayed to keep the state bivalent.
- 03A crash of one process is enough to force that delay.
- 04Is the protocol deterministic?
04 Load-bearing
The argument, and where a pitch drops it
Why it is still on the desk
The cut
If a designer promises deterministic termination with no timing and one crash, they have claimed to overturn this paper.
Why it carries weight
If this cut is skipped, the paper's name is being used without the mechanism that makes the name mean anything.
Where it is dropped
The paper does not rank coins.
After the text
The cut
Paxos, Raft and PBFT all give up guaranteed termination in the fully asynchronous case. Nakamoto gives up deterministic finality.
Why it carries weight
If this cut is skipped, the paper's name is being used without the mechanism that makes the name mean anything.
Where it is dropped
A later client, parameter or reward formula is a different object from this paragraph.
05 Register
What has to be true
Network · Not re-measured
Quoting FLP against a partially synchronous protocol is a category error.
Model · Not re-measured
The paper does not rank coins.
Model · Not re-measured
It does not say liveness is unimportant.
06 Divergence
What happened after the paper
Paxos, Raft and PBFT all give up guaranteed termination in the fully asynchronous case. Nakamoto gives up deterministic finality.
A later client, parameter set, or reward formula is a different object. Cite this paper for the mechanism. Cite a primary release for the network. This desk has not re-run the proof.
07 Pre-mortem
What to check before you use the idea
- 0 of 3 marked on this browser. A mark is a reading note, not a pass, a rating, or a recommendation.
08 Anatomy
The paper, in the order a builder needs
The problem it names
People wanted a finite protocol that always terminates, tolerates one crash, and never forks, in a network with no clocks.
What the design proposes
- The result is about deterministic asynchronous consensus.
- Randomness, clocks, or failure detectors are how later systems step around it.
- It is not a claim that blockchains cannot exist.
How the mechanism is specified
- The proof builds a bivalent state, one that could still decide either way.
- A single message can be delayed to keep the state bivalent.
- A crash of one process is enough to force that delay.
What this page does not treat as proven
- Quoting FLP against a partially synchronous protocol is a category error.
- The paper does not rank coins.
- It does not say liveness is unimportant.
Why the desk still reads it
If a designer promises deterministic termination with no timing and one crash, they have claimed to overturn this paper.
09 Lexicon
Terms, opened into the record
- Bivalent
- A state from which both decisions are still possible.
- Asynchronous
- Messages may be delayed arbitrarily.
10 Repository
Every linked record on this page
Underlined words open a page that already exists: a concept, a protocol profile, a failure record, or another paper. If a word is not underlined, this desk does not have a record for it.
This is Blockchain Lab's reading of a public design paper. It is not the paper, not a copy of it, and not an offer of tokens, equity, custody or a partnership. Later network behaviour can diverge from the text. Nothing here is investment, legal or technical advice.
Research status: Design paper. Last reviewed: 1 October 2026. This is a reading of a public paper, not investment, legal or security advice.
