MIME-Version: 1.0
References: <CAD5xwhg+tzjsz9fSoSxKV4oqgemr5p2ETaf-7vzQW+rg6Q_GFg@mail.gmail.com>
In-Reply-To: <CAD5xwhg+tzjsz9fSoSxKV4oqgemr5p2ETaf-7vzQW+rg6Q_GFg@mail.gmail.com>
From: Keagan McClelland <keagan.mcclelland@gmail.com>
Date: Thu, 22 Apr 2021 18:06:02 -0600
Message-ID: <CALeFGL0BxuM6_QL-ujhPhU5=HpYnTaBZfPsA9HXSLp7wuJCt7A@mail.gmail.com>
To: Jeremy <jlrubin@mit.edu>, 
 Bitcoin Protocol Discussion <bitcoin-dev@lists.linuxfoundation.org>
Content-Type: multipart/related; boundary="0000000000006a5e3a05c09890bc"
Subject: Re: [bitcoin-dev] And Then What? Defining a Complete Process for
	Upgrades
Precedence: list

--0000000000006a5e3a05c09890bc
Content-Type: multipart/alternative; boundary="0000000000006a5e3605c09890bb"

--0000000000006a5e3605c09890bb
Content-Type: text/plain; charset="UTF-8"

Hi Jeremy,

First off, thank you for putting this together and trying to organize
discussion around a repeatable process for soft-fork upgrades. As I read
this I am struggling to identify the complete set of problems that this
process is attempting to solve for. My best understanding of the gridlock
that happened around the LOT parameter of BIP 8 is the fact that a flag day
finale of the deployment had the *optics* of being developer controlled,
despite the fact that upgrades are voluntary and opt in since there is no
automatic upgrade mechanism within Bitcoin Core. So I am generally
unconvinced by that argument. The alternative (the advancement of various
LOT=false proposals including ST) is that we are letting the miners
*actually* exert a level of control over the protocol by imbuing them with
the power to veto these proposals. At a 10% signalling threshold needed to
block the upgrade, in addition to the fact that mining is an enterprise
engaged in by a comparatively small portion of the user base, the
constituency required to block proposals under this model is remarkably
small. I don't think anyone is satisfied with the idea of indefinitely
letting miners have veto power over proposals. So the question is, "what
then?".

The particular gripe I have with the situation is that I generally believe
that *any* LOT=false deployment that is ultimately upheld (not reattempted)
is a ceding of control of the protocol to the miners, at the very least in
that instance if not more generally due to the possible emboldening of more
non-cooperative actors for personal gain at the expense of other network
participants. On the other hand, any LOT=false deployment that is
immediately followed up with something approximating a LOT=true/flag
day/UASF deployment is ultimately a charade and can be handily replaced
with LOT=true with an extended timeline. The common rebuttal I hear from
this is that a LOT=false deployment "helps us learn something" and is
usually an appeal to the difference between stated and revealed preference.
However, I have not been able to get past the idea of exactly what we plan
to learn from this? If we do not trust stated preferences for protocol
changes, and we *only* trust revealed preference, then it seems like the
only thing we can learn is that "miners will not voluntarily make this
upgrade" and any arguments about why are ultimately as speculative as the
stated preferences prior to any Soft Fork deployment at all. As such, I
don't think we learn basically anything useful.

Against the above backdrop, it is hard for me to think that a LOT=false
policy is *ever* sensible. In this case, I have advocated for ST because I
think it will either activate quickly, or prove out in general that a
LOT=false policy just doesn't work (quickly). In all of the discussions I
have been party to, I have not once witnessed someone who would accept the
final upholding of a miner veto on Taproot in particular, yet in the same
session, many of those participants are advocating for LOT=false anyway.
This seems incoherent to me.

So what are we actually solving for?

The idea as I understand it is to distribute power among Bitcoin's
different constituencies in such a way that we A. block "bad upgrades"
always, and B. do our best to activate "good upgrades". However, I feel it
necessary to caution against the fetishization of triumvirate governance
for its own sake. In my mind, anything that doesn't generally respect the
notion that the users are in control of the protocol is not too dissimilar
from the decentralization theater that some Bitcoiners criticize various
altcoins for.

So why not just UASF from the getgo?

This I have started to understand more clearly but still get hung up on
certain details. I think the only universal claim about this is "avoid deep
chain splits at all costs" where "deep" is anything that is going to ruin
upper layers of Bitcoin including institutional operations practices. For
as long as I've been developing applications on top of Bitcoin the
"generally accepted default" seems to be that 6 block reorgs are the
"untouchable limit". However, this is where the details become really
important. By definition, blocks conforming to soft-fork rules are accepted
by the pre-fork implementations. In the other direction, there exists a
subset of blocks that can be produced by pre-fork miners that will not be
accepted by the soft-fork rules. So, in this case, the risk incurred by the
SF clients is that the chain halts. The risk incurred by the pre-fork
implementations is that there are reorgs that result in economic losses.
However, in order for the reorgs to actually occur, miners have to
persistently mine invalid blocks. The reason I make the distinction about
"persistently" is that pre-fork implementations *will accept* soft-fork
compliant blocks. This means that the same incentive structures that cause
miners to switch to mining atop new blocks instead of continuing to mine
atop older ones, apply just as much in this case. Chain convergence is
*guaranteed* with as little as 51% (though this is eventual, and may not be
an acceptable threshold if you're trying to keep the probability of deep
reorgs to some astronomically low threshold). Furthermore, chain
convergence is probable with far less than that threshold, though I'm less
sure of this claim and am open to a rebuttal on this.

The only wrench in the above line of reasoning is the issue of forced
signaling. I've never been a fan of forced signaling. The only thing it
guards against is apathy, which I think is solved with even the threat of
having your mined blocks being reorged out by including invalid
transactions in them.

So to summarize my understanding of what's going on here: we don't want
MASF due to concentration of power, we don't want UASF because of the risk
of chain split. The only way to reconcile this is to show miners that users
more strongly value work done on a chain enforcing the soft fork rules than
one that doesn't, ideally with costly signaling. This is the only way users
can effectively exercise an override on miner preference in a backwards
compatible way and substantially reduces or eliminates chain split risk. I
don't think the proposal above does anything to alleviate this issue. In
fact, if I read it correctly, it rules out the possibility of any UASF
altogether by making it such that a failed MASF forces the users to
hard-fork the protocol. I think that this would be rather tragic since
avoidance of hard forks is one of the biggest victories that came out of
2017. I apologize for not addressing the proposal in a more direct way and
engaging with the details, however, I don't think that discussing the
process makes any sense until we can agree what is being solved, and what
risks are flat out unacceptable. Perhaps laying those out in a
followup response can make it easier for me to engage with the actual
process.

In my mind any proposal that doesn't include a mechanism for gathering
reliable information about user-preference in a way that is sybil resistant
doesn't make any meaningful progress on a consensus change process. I have
only two ideas in this area and both of them don't seem fantastic. The
first one, fork futures, has been discussed at length by people more
experienced than I. The second, is a mechanism that makes mining
transactions that express fork preference (in an as-yet undefined way)
contingent upon the block signaling for it. The details of how to pull that
off may make it such that it is DOA, but it would at least give users a way
to broadcast a costly signal of their preference.

Keagan

On Thu, Apr 22, 2021 at 4:57 PM Jeremy via bitcoin-dev <
bitcoin-dev@lists.linuxfoundation.org> wrote:

> This letter is particularly aimed at addressing Rusty Russell's quest for
> a development process that respects all groups in a balance of powers.
> However, in the spirit of open discussion, I'm sending it directly to the
> list.
>
> This proposal is aimed to be compatible with Taproot's ST, and I hope will
> help us form some rough consensus around what we try next. Some of the
> concepts here are synthesized from what I've seen discussed, but I haven't
> included citations of anyone's specific ideas as I'm not sure of the exact
> provenance -- I won't claim to have invented this per se, I'm trying to
> capture the zeitgeist of what anyone might think to be the process if
> pressed to draw it out. Lemme know how I did.
>
> The specific parameters are up for debate, but I'm trying to make sure
> I've captured the relevant state transitions.
>
> In this diagram time flows left-to-right, and transitions happen at the
> beginning, end, or middle of a block of time. It should be relatively clear
> when things happen, but if not, please ask to clarify.
>
> [image: Activation.png]
>
> Clarifications:
> - ST: Speedy trial, whereby > T% signals on a block activate the rule
> - neg-ST: Speedy Trial, whereby >X% signals on a block Reject the rule
> - neg-ST and ST at the same time on different bits: 11 or 00 are "abstain"
> votes and are discarded. only 10 or 01 are counted. The purpose of
> simultaneous bits is to allow both earlier lock in and to permit early
> failure, rather than just one or the other.
> - PoW Fork: If a new rule is active, but there is insufficient hashrate,
> the rule must be abandoned or PoW must be changed to minimize disruption.
> In order to minimize disruption, a node will consider an alternative PoW
> chain if < 1/4 of the typical hash rate is seen for a day. Alternative PoW
> is defined as SHA-256 10,000 layers, and starts at low difficulty. This is
> selected to be maximally similar to Bitcoin's existing PoW, but
> sufficiently different to obviate extant ASICS. A node will consider the
> new PoW to be equal in value to the old PoW, and will select between the
> two based on most-work. Work can be either within a single chain. The new
> PoW should have a difficulty adjustment every day for the first month, at
> which point, it will relax to every 2 weeks. The details of this should be
> described in a separate BIP.
> - PoW Fork Lockin: PoW fork is only *required* once the new rule is
> active. Thus it's not required in the case of mandatory signalling to force
> the signalling contemporaneously, but it can be used to commit to forking
> the PoW at some time in the future. It may make sense to not activate the
> new rule till the new PoW is active. The game theory of this should be
> studied carefully, it is my opinion that the safest option is to PoW fork
> during signalling as otherwise miners may protest progress at all.
> - Changes: Any time the underlying activation proposal is changed, the
> process is restarted. E.g., suppose taproot is rejected because Quantum
> Scaries, and we hash the key. The process restarts from the beginning.
> Restarts can only occur during quieting periods.
> - Quieting Period 1: In the first quieting period, if reached, the
> "Bitcoin Core Community" can release the next step, or change the BIP. I
> left out failing in this period as a change or a redeployment should always
> be attempted.
> - Quieting Period 2: In the second quieting period, the outcome is either
> to reject the change entirely or to agree to force it. The "Bitcoin Core
> Community" may also prepare the release at this stage, and sign, but should
> re-label the client as "Bitcoin Community's <Feature> Forcing Client".  A
> release labeled "Bitcoin Core" may also be made without mandatory
> signalling and without forced activation can also be made, such a client
> should have (depending on if the flag day is to use signalling) either
> ability to activate in response to signalling or a hidden
> <feature>activeathash parameter to allow clients to enable the feature
> post-hoc of the activating block.
> - Forced Signalling: It's unclear to me the merit of forced signalling
> being 90% of 2016 blocks v.s. 90% of 100 blocks. A shorter forced signaling
> assuages certain concerns around lost hashrate -- 1 day of disruption is a
> lot better than 2 weeks.
> - Timeline: As spec'd above, this whole process takes about 2 years worst
> case. ST1 0 months; Quieting 1 at 3 months; ST2 at 6 months; Quieting 2 at
> 9 months, final attempt at 1 year. The Forcing client period should
> probably be 1 yr till active. This is *a bit* slower than the "BIP8
> LOT=True UASF Client", but I think not so much slower that it's unworkable.
>
> The most contentious part of this I intuit to be the PoW Fork -- please,
> let's avoid discussing the mechanic of how to most safely accomplish this.
> The main point of including it in this diagram is to emphasize that if you
> commit to being on a minority chain with because of a rule activation with,
> say, 5% hashrate, you would experience very tangible disruption. In theory,
> every fork upgrade (even signalled) entails such a risk, but we assume some
> level of miner honesty (unfortunately!) that they never signal falsely.
> This may be a bad assumption with mandatory signalling. The alternative is
> to permit hard forks in our diagram, and allow users to downgrade their
> client and deactivate this rule. Since this can lead to loss of funds, we
> do not consider this a safe option, and it is a hardfork as well so is
> technically compatible with the "PoW fork" branch.
>
>
> Questions I have:
>
> 1) What state transitions are missing from this diagram? Are there other
> paths that should be included?
> 2) Is it ever feasible to make a change to the upgrade and not restart the
> whole process?
> 3) How long should all of the periods be? Can the 1st 2 ST's be 3 month?
> Should we make the second one 6 month? Does it depend on previous signalled
> hashrate?
> 4) Do we ever adjust signalling thresholds?
> 5) Does forced signalling need to be 2016 blocks?
> 6) In the second ST should the min active height be allowed to be within
> signalling time if > 3 mo?
> 7) Under what circumstances would we *want* to skip the second ST period
> and directly signal? What would we lose by committing to not skipping it,
> ever (6 months?).
> 8) I purposefully left the purple edge from ST2 bit 2 to Quieting 2: in
> theory, this edge is not there because it is overruled by the neg-ST
> failing to fail. Under what circumstances might we give this precedence
> over neg-ST? E.g., signalling activate < 50%?
> 9) How much parameter flexibility do we have during Quieting periods?
> Should we be fixed beforehand?
> 10) who wants to write the software for any of this... *noses*
> 11) do we need to hard-code the PoW fork ahead of time? Or can it just be
> "prepared" as an alt binary in case of emergency?
>
>
>
> Best,
>
> Jeremy
>
>
>
> --
> @JeremyRubin <https://twitter.com/JeremyRubin>
> <https://twitter.com/JeremyRubin>
> _______________________________________________
> bitcoin-dev mailing list
> bitcoin-dev@lists.linuxfoundation.org
> https://lists.linuxfoundation.org/mailman/listinfo/bitcoin-dev
>

--0000000000006a5e3605c09890bb
Content-Type: text/html; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Hi Jeremy,<div><br></div><div>First off, thank you for put=
ting this together and trying to organize discussion around a repeatable pr=
ocess for soft-fork upgrades. As I read this I am struggling to identify th=
e complete set of problems that this process is attempting to solve for. My=
 best understanding of the gridlock that happened around the LOT parameter =
of BIP 8 is the fact that a flag day finale of the deployment had the *opti=
cs* of being developer controlled, despite the fact that upgrades are volun=
tary and opt in since there is no automatic upgrade mechanism within Bitcoi=
n Core. So I am generally unconvinced by that argument. The alternative (th=
e advancement of various LOT=3Dfalse proposals including ST) is that we are=
 letting the miners *actually* exert a level of control over the protocol b=
y imbuing them with the power to veto these proposals. At a 10% signalling =
threshold needed to block the upgrade, in addition to the fact that mining =
is an enterprise engaged in by a comparatively small portion of the user ba=
se, the constituency required to block proposals under this model is remark=
ably small. I don&#39;t think anyone is satisfied with the idea of indefini=
tely letting miners have veto power over proposals. So the question is, &qu=
ot;what then?&quot;.</div><div><br></div><div>The particular gripe I have w=
ith the situation is that I generally believe that *any* LOT=3Dfalse deploy=
ment that is ultimately upheld (not reattempted) is a ceding of control of =
the protocol to the miners, at the very least in that instance if not more =
generally due to the possible emboldening of more non-cooperative actors fo=
r personal gain at the expense of other network participants. On the other =
hand, any LOT=3Dfalse deployment that is immediately followed up with somet=
hing approximating a LOT=3Dtrue/flag day/UASF deployment is ultimately a ch=
arade and can be handily replaced with LOT=3Dtrue with an extended timeline=
. The common rebuttal I hear from this is that a LOT=3Dfalse deployment &qu=
ot;helps us learn something&quot; and is usually an appeal to the differenc=
e between stated and revealed preference. However, I have not been able to =
get past the idea of exactly what we plan to learn from this? If we do not =
trust stated preferences for protocol changes, and we *only* trust revealed=
 preference, then it seems like the only thing we can learn is that &quot;m=
iners will not voluntarily make this upgrade&quot; and any arguments about =
why are ultimately as speculative as the stated preferences prior to any So=
ft Fork deployment at all. As such, I don&#39;t think we learn basically an=
ything useful.</div><div><br></div><div>Against the above backdrop, it is h=
ard for me to think that a LOT=3Dfalse policy is *ever* sensible. In this c=
ase, I have advocated for ST because I think it will either activate quickl=
y, or prove out in general that a LOT=3Dfalse policy just doesn&#39;t work =
(quickly). In all of the discussions I have been party to, I have not once =
witnessed someone who would accept the final upholding of a miner veto on T=
aproot in particular, yet in the same session, many of those participants a=
re advocating for LOT=3Dfalse anyway. This seems incoherent to me.</div><di=
v><br></div><div>So what are we actually solving for?</div><div><br></div><=
div>The idea as I understand it is to distribute power among Bitcoin&#39;s =
different constituencies in such a way that we A. block &quot;bad upgrades&=
quot; always, and B. do our best to activate &quot;good upgrades&quot;. How=
ever, I feel it necessary to caution against the fetishization of triumvira=
te governance for its own sake. In my mind, anything that doesn&#39;t gener=
ally respect the notion that the users are in control of the protocol is no=
t too dissimilar from the decentralization theater that some Bitcoiners cri=
ticize various altcoins for.</div><div><br></div><div>So why not just UASF =
from the getgo?</div><div><br></div><div>This I have started to understand =
more clearly but still get hung up on certain details. I think the only uni=
versal claim about this is &quot;avoid deep chain splits at all costs&quot;=
 where &quot;deep&quot; is anything that is going to ruin upper layers of B=
itcoin including institutional operations practices. For as long as I&#39;v=
e been developing applications on top of Bitcoin the &quot;generally accept=
ed default&quot; seems to be that 6 block reorgs are the &quot;untouchable =
limit&quot;. However, this is where the details become really important. By=
 definition, blocks conforming to soft-fork rules are accepted by the pre-f=
ork implementations. In the other direction, there exists a subset of block=
s that can be produced by pre-fork miners that will not be accepted by the =
soft-fork rules. So, in this case, the risk incurred by the SF clients is t=
hat the chain halts. The risk incurred by the pre-fork implementations is t=
hat there are reorgs that result=C2=A0in economic losses. However, in order=
 for the reorgs to actually occur, miners have to persistently mine invalid=
 blocks. The reason I make the distinction about &quot;persistently&quot; i=
s that pre-fork implementations *will accept* soft-fork compliant blocks. T=
his means that the same incentive structures that cause miners to switch to=
 mining atop new blocks instead of continuing to mine atop older ones, appl=
y just as much in this case. Chain convergence is *guaranteed* with as litt=
le as 51% (though this is eventual, and may not be an acceptable threshold =
if you&#39;re trying to keep the probability of deep reorgs to some astrono=
mically low threshold). Furthermore, chain convergence is probable with far=
 less than that threshold, though I&#39;m less sure of this claim and am op=
en to a rebuttal on this.</div><div><br></div><div>The only wrench in the a=
bove line of reasoning is the issue of forced signaling. I&#39;ve never bee=
n a fan of forced signaling. The only thing it guards against is apathy, wh=
ich I think is solved with even the threat of having your mined blocks bein=
g reorged out by including invalid transactions in them.</div><div><br></di=
v><div>So to summarize my understanding of what&#39;s going on here: we don=
&#39;t want MASF due to concentration of power, we don&#39;t want UASF beca=
use of the risk of chain split. The only way to reconcile this is to show m=
iners that users more strongly value work done on a chain enforcing the sof=
t fork rules than one that doesn&#39;t, ideally with costly signaling. This=
 is the only way users can effectively exercise an override on miner prefer=
ence in a backwards compatible way and substantially reduces or eliminates =
chain split risk. I don&#39;t think the proposal above does anything to all=
eviate this issue. In fact, if I read it correctly, it rules out the possib=
ility of any UASF altogether by making it such that a failed MASF forces th=
e users to hard-fork the protocol. I think that this would be rather tragic=
 since avoidance of hard forks is one of the biggest victories that came ou=
t of 2017. I apologize for not addressing the proposal in a more direct way=
 and engaging with the details, however, I don&#39;t think that discussing =
the process makes any sense until we can agree what is being solved, and wh=
at risks are flat out unacceptable. Perhaps laying those out in a followup=
=C2=A0response can make it easier for me to engage with the actual process.=
</div><div><br></div><div>In my mind any proposal that doesn&#39;t include =
a mechanism for gathering reliable information about user-preference in a w=
ay that is sybil resistant doesn&#39;t make any meaningful progress on a co=
nsensus change process. I have only two ideas in this area and both of them=
 don&#39;t seem fantastic. The first one, fork futures, has been discussed =
at length by people more experienced than I. The second, is a mechanism tha=
t makes mining transactions that express fork preference (in an as-yet unde=
fined way) contingent upon the block signaling for it. The details of how t=
o pull that off may make it such that it is DOA, but it would at least give=
 users a way to broadcast a costly signal of their preference.</div><div><b=
r></div><div>Keagan</div></div><br><div class=3D"gmail_quote"><div dir=3D"l=
tr" class=3D"gmail_attr">On Thu, Apr 22, 2021 at 4:57 PM Jeremy via bitcoin=
-dev &lt;<a href=3D"mailto:bitcoin-dev@lists.linuxfoundation.org">bitcoin-d=
ev@lists.linuxfoundation.org</a>&gt; wrote:<br></div><blockquote class=3D"g=
mail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204=
,204,204);padding-left:1ex"><div dir=3D"ltr"><div class=3D"gmail_default" s=
tyle=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,=
0,0)">This letter is particularly aimed at addressing Rusty Russell&#39;s q=
uest for a development process that respects all groups in a balance of pow=
ers. However, in the spirit of open discussion, I&#39;m sending it directly=
 to the list.<br></div><div class=3D"gmail_default" style=3D"font-family:ar=
ial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div c=
lass=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font=
-size:small;color:rgb(0,0,0)">This proposal is aimed to be compatible with =
Taproot&#39;s ST, and I hope will help us form some rough consensus around =
what we try next. Some of the concepts here are synthesized from what I&#39=
;ve seen discussed, but I haven&#39;t included citations of anyone&#39;s sp=
ecific ideas as I&#39;m not sure of the exact provenance -- I won&#39;t cla=
im to have invented this per se, I&#39;m trying to capture the zeitgeist of=
 what anyone might think to be the process if pressed to draw it out. Lemme=
 know how I did.<br></div><div class=3D"gmail_default" style=3D"font-family=
:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><di=
v class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;f=
ont-size:small;color:rgb(0,0,0)">The specific parameters are up for debate,=
 but I&#39;m trying to make sure I&#39;ve captured the relevant state trans=
itions.</div><div class=3D"gmail_default" style=3D"font-family:arial,helvet=
ica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div class=3D"gm=
ail_default" style=3D"font-family:arial,helvetica,sans-serif;font-size:smal=
l;color:rgb(0,0,0)">In this diagram time flows left-to-right, and transitio=
ns happen at the beginning, end, or middle of a block of time. It should be=
 relatively clear when things happen, but if not, please ask to clarify.</d=
iv><div class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-s=
erif;font-size:small;color:rgb(0,0,0)"><br></div><div class=3D"gmail_defaul=
t" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rg=
b(0,0,0)"><img src=3D"cid:ii_kntfbkgp0" alt=3D"Activation.png" style=3D"mar=
gin-right: 0px;"></div><div class=3D"gmail_default" style=3D"font-family:ar=
ial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div c=
lass=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font=
-size:small;color:rgb(0,0,0)">Clarifications:</div><div class=3D"gmail_defa=
ult" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:=
rgb(0,0,0)">- ST: Speedy trial, whereby &gt; T% signals on a block activate=
 the rule</div><div class=3D"gmail_default" style=3D"font-family:arial,helv=
etica,sans-serif;font-size:small;color:rgb(0,0,0)">- neg-ST: Speedy Trial, =
whereby &gt;X% signals on a block Reject the rule</div><div class=3D"gmail_=
default" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;co=
lor:rgb(0,0,0)">- neg-ST and ST at the same time on different bits: 11 or 0=
0 are &quot;abstain&quot; votes and are discarded. only 10 or 01 are counte=
d. The purpose of simultaneous bits is to allow both earlier lock in and to=
 permit early failure, rather than just one or the other.<br></div><div cla=
ss=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font-s=
ize:small;color:rgb(0,0,0)">- PoW Fork: If a new rule is active, but there =
is insufficient hashrate, the rule must be abandoned or PoW must be changed=
 to minimize disruption. In order to minimize disruption, a node will consi=
der an alternative PoW chain if &lt; 1/4 of the typical hash rate is seen f=
or a day. Alternative PoW is defined as SHA-256 10,000 layers, and starts a=
t low difficulty. This is selected to be maximally similar to Bitcoin&#39;s=
 existing PoW, but sufficiently different to obviate extant ASICS. A node w=
ill consider the new PoW to be equal in value to the old PoW, and will sele=
ct between the two based on most-work. Work can be either within a single c=
hain. The new PoW should have a difficulty adjustment every day for the fir=
st month, at which point, it will relax to every 2 weeks. The details of th=
is should be described in a separate BIP.</div><div class=3D"gmail_default"=
 style=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(=
0,0,0)">- PoW Fork Lockin: PoW fork is only *required* once the new rule is=
 active. Thus it&#39;s not required in the case of mandatory signalling to =
force the signalling contemporaneously, but it can be used to commit to for=
king the PoW at some time in the future. It may make sense to not activate =
the new rule till the new PoW is active. The game theory of this should be =
studied carefully, it is my opinion that the safest option is to PoW fork d=
uring signalling as otherwise miners may protest progress at all.<br></div>=
<div class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-seri=
f;font-size:small;color:rgb(0,0,0)">- Changes: Any time the underlying acti=
vation proposal is changed, the process is restarted. E.g., suppose taproot=
 is rejected because Quantum Scaries, and we hash the key. The process rest=
arts from the beginning. Restarts can only occur during quieting periods.</=
div><div class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-=
serif;font-size:small;color:rgb(0,0,0)">- Quieting Period 1: In the first q=
uieting period, if reached, the &quot;Bitcoin Core Community&quot; can rele=
ase the next step, or change the BIP. I left out failing in this period as =
a change or a redeployment should always be attempted.</div><div class=3D"g=
mail_default" style=3D"font-family:arial,helvetica,sans-serif;font-size:sma=
ll;color:rgb(0,0,0)">- Quieting Period 2: In the second quieting period, th=
e outcome is either to reject the change entirely or to agree to force it. =
The &quot;Bitcoin Core Community&quot; may also prepare the release at this=
 stage, and sign, but should re-label the client as &quot;Bitcoin Community=
&#39;s &lt;Feature&gt; Forcing Client&quot;.=C2=A0 A release labeled &quot;=
Bitcoin Core&quot; may also be made without mandatory signalling and withou=
t forced activation can also be made, such a client should have (depending =
on if the flag day is to use signalling) either ability to activate in resp=
onse to signalling or a hidden &lt;feature&gt;activeathash parameter to all=
ow clients to enable the feature post-hoc of the activating block.</div><di=
v class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;f=
ont-size:small;color:rgb(0,0,0)">- Forced Signalling: It&#39;s unclear to m=
e the merit of forced signalling being 90% of 2016 blocks v.s. 90% of 100 b=
locks. A shorter forced signaling assuages certain concerns around lost has=
hrate -- 1 day of disruption is a lot better than 2 weeks.</div><div class=
=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font-siz=
e:small;color:rgb(0,0,0)">- Timeline: As spec&#39;d above, this whole proce=
ss takes about 2 years worst case. ST1 0 months; Quieting 1 at 3 months; ST=
2 at 6 months; Quieting 2 at 9 months, final attempt at 1 year. The Forcing=
 client period should probably be 1 yr till active. This is *a bit* slower =
than the &quot;BIP8 LOT=3DTrue UASF Client&quot;, but I think not so much s=
lower that it&#39;s unworkable.<br></div><div class=3D"gmail_default" style=
=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)=
"><br></div><div class=3D"gmail_default" style=3D"font-family:arial,helveti=
ca,sans-serif;font-size:small;color:rgb(0,0,0)">The most contentious part o=
f this I intuit to be the PoW Fork -- please, let&#39;s avoid discussing th=
e mechanic of how to most safely accomplish this. The main point of includi=
ng it in this diagram is to emphasize that if you commit to being on a mino=
rity chain with because of a rule activation with, say, 5% hashrate, you wo=
uld experience very tangible disruption. In theory, every fork upgrade (eve=
n signalled) entails such a risk, but we assume some level of miner honesty=
 (unfortunately!) that they never signal falsely. This may be a bad assumpt=
ion with mandatory signalling. The alternative is to permit hard forks in o=
ur diagram, and allow users to downgrade their client and deactivate this r=
ule. Since this can lead to loss of funds, we do not consider this a safe o=
ption, and it is a hardfork as well so is technically compatible with the &=
quot;PoW fork&quot; branch.<br></div><div class=3D"gmail_default" style=3D"=
font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><b=
r></div><div class=3D"gmail_default" style=3D"font-family:arial,helvetica,s=
ans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div class=3D"gmail_d=
efault" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;col=
or:rgb(0,0,0)">Questions I have:<br></div><div class=3D"gmail_default" styl=
e=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0=
)"><br></div><div class=3D"gmail_default" style=3D"font-family:arial,helvet=
ica,sans-serif;font-size:small;color:rgb(0,0,0)">1) What state transitions =
are missing from this diagram? Are there other paths that should be include=
d?</div><div class=3D"gmail_default" style=3D"font-family:arial,helvetica,s=
ans-serif;font-size:small;color:rgb(0,0,0)">2) Is it ever feasible to make =
a change to the upgrade and not restart the whole process?</div><div class=
=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font-siz=
e:small;color:rgb(0,0,0)">3) How long should all of the periods be? Can the=
 1st 2 ST&#39;s be 3 month? Should we make the second one 6 month? Does it =
depend on previous signalled hashrate?</div><div class=3D"gmail_default" st=
yle=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0=
,0)">4) Do we ever adjust signalling thresholds?</div><div class=3D"gmail_d=
efault" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;col=
or:rgb(0,0,0)">5) Does forced signalling need to be 2016 blocks?</div><div =
class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;fon=
t-size:small;color:rgb(0,0,0)">6) In the second ST should the min active he=
ight be allowed to be within signalling time if &gt; 3 mo?</div><div class=
=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font-siz=
e:small;color:rgb(0,0,0)">7) Under what circumstances would we *want* to sk=
ip the second ST period and directly signal? What would we lose by committi=
ng to not skipping it, ever (6 months?).</div><div class=3D"gmail_default" =
style=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0=
,0,0)">8) I purposefully left the purple edge from ST2 bit 2 to Quieting 2:=
 in theory, this edge is not there because it is overruled by the neg-ST fa=
iling to fail. Under what circumstances might we give this precedence over =
neg-ST? E.g., signalling activate &lt; 50%?<br></div><div class=3D"gmail_de=
fault" style=3D"font-family:arial,helvetica,sans-serif;font-size:small;colo=
r:rgb(0,0,0)">9) How much parameter flexibility do we have during Quieting =
periods? Should we be fixed beforehand?</div><div class=3D"gmail_default" s=
tyle=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,=
0,0)">10) who wants to write the software for any of this... *noses*</div><=
div class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif=
;font-size:small;color:rgb(0,0,0)">11) do we need to hard-code the PoW fork=
 ahead of time? Or can it just be &quot;prepared&quot; as an alt binary in =
case of emergency?<br></div><div class=3D"gmail_default" style=3D"font-fami=
ly:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><=
div class=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif=
;font-size:small;color:rgb(0,0,0)"><br></div><div class=3D"gmail_default" s=
tyle=3D"font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,=
0,0)"><br></div><div class=3D"gmail_default" style=3D"font-family:arial,hel=
vetica,sans-serif;font-size:small;color:rgb(0,0,0)">Best,</div><div class=
=3D"gmail_default" style=3D"font-family:arial,helvetica,sans-serif;font-siz=
e:small;color:rgb(0,0,0)"><br></div><div class=3D"gmail_default" style=3D"f=
ont-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)">Jer=
emy<br></div><div class=3D"gmail_default" style=3D"font-family:arial,helvet=
ica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div class=3D"gm=
ail_default" style=3D"font-family:arial,helvetica,sans-serif;font-size:smal=
l;color:rgb(0,0,0)"><br></div><div class=3D"gmail_default" style=3D"font-fa=
mily:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"></div><br=
 clear=3D"all"><div><div dir=3D"ltr"><div dir=3D"ltr">--<br><a href=3D"http=
s://twitter.com/JeremyRubin" target=3D"_blank">@JeremyRubin</a><a href=3D"h=
ttps://twitter.com/JeremyRubin" target=3D"_blank"></a></div></div></div></d=
iv>
_______________________________________________<br>
bitcoin-dev mailing list<br>
<a href=3D"mailto:bitcoin-dev@lists.linuxfoundation.org" target=3D"_blank">=
bitcoin-dev@lists.linuxfoundation.org</a><br>
<a href=3D"https://lists.linuxfoundation.org/mailman/listinfo/bitcoin-dev" =
rel=3D"noreferrer" target=3D"_blank">https://lists.linuxfoundation.org/mail=
man/listinfo/bitcoin-dev</a><br>
</blockquote></div>

--0000000000006a5e3605c09890bb--
--0000000000006a5e3a05c09890bc
Content-Type: image/png; name="Activation.png"
Content-Disposition: inline; filename="Activation.png"
Content-Transfer-Encoding: base64
Content-ID: <ii_kntfbkgp0>
X-Attachment-Id: ii_kntfbkgp0
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--0000000000006a5e3a05c09890bc--