Michael Sullivan

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Michael Sullivan

Michael Sullivan

@SullyMichaelvan

Engineer studying the emotional state of the Bitcoin market using language analysis. Writing about my findings at Bitcoin Sentiment Weekly.

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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
Ya'll asked... I listened. I'm officially kicking off a weekly newsletter for anyone that wants to stay up to date with the most recent changes across the Bitcoin sentiment landscape. First issue is live! sentimentsully.substack.com/p/bitcoin-sent…
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
Thanks so much David! I know your spot on here because I've been getting quite a bit of inbound with people asking me if I can do this with other industries (yes, I can). There are some aspects of Bitcoin in particular though that make this extra interesting IMO. As the technology is so unflinching and consistent, the human psychological element plays a heavier role than many other markets. It's also such a robust ecosystem, that there are factions doing completely different things and that make it interesting to analyze. Every different treasury company or public miner has their own little cohort of people doing and talking about different things for example. The fact I'm obsessed with the orange coin also helps too 😂
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David Peterson
David Peterson@DavidJPete·
@SullyMichaelvan Great work, man. Very well-presented. Anyone on either side who can't handle this needs to get back to nature for an extended period. I think you have a lot of room to expand this kind of analysis to other markets, and I look forward to seeing you develop this over the years.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
I didn’t want to write this. One of the deepest lessons I’ve learned from researching sentiment data is how irrational and angry people get towards the bottom of Bitcoin bear markets. People that are historically aligned often fall into conflicts that wouldn’t exist near tops. The BIP-110 debate increasingly feels like one of those moments. I wanted no part of that. I’ve been publicly cancelled before, and I have no desire to go through that again. I know how painful it is to have an angry crowd criticizing and shaming you, which gives me a strong bias to avoid situations exactly like this one. But I’m pushing against that bias because (for better or worse) I have a novel dataset that offers a unique lens on the BIP-110 debate. I’m going to attempt to keep this unbiased, but before I do, I’m going to lead with what will be my highest-conviction opinion of the entire piece: People like Mechanic and Luke Dashjr understand Bitcoin’s consensus mechanisms better than I do, while Adam Back and Jameson Lopp grasp Bitcoin’s technical nuances more deeply than I ever will. I am not here to pretend I understand these dynamics of this debate better than the people who have spent years studying them. That’s not why I’m writing this. “Then why should I care what you have to say?” Because there is another side of the debate that is also important, and it’s on this side I have a different perspective. The social layer. For those of you new to my work, I’ve been researching the language, narratives, and emotional patterns of different groups throughout Bitcoin. I’ve been (obsessively) studying the emotional regimes and crowd psychology associated with the space. That includes the people now publicly associated with both sides of the BIP-110 debate… and the differences between these groups are striking. I believe I would be doing a disservice by keeping that data to myself simply because publishing it might piss people off. So there will be no paywall on this piece, no call to action halfway through, and I won’t ask you to become a subscriber. I simply want these charts to exist publicly, where anyone can examine them or interpret them differently than I do. I will try to present it as fairly as I can, but I am not neutral, and neither is anyone reading this. People will inevitably see different things in these charts. This data cannot tell us who is technically correct. But it can help us to surface clues about how the debate is evolving, who thinks they are winning, and why I believe one of these groups is currently experiencing an engagement-reinforced narrative environment.
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Rearden 🛩️ BIP448 🥖 fork/acc
Incredible sentiment analysis from Sully here. Worth reading no matter where you sit in bitcoin or what topic you are most engaged in. We live in an emotional soup and how we speak about the topics that matter to us directly impacts how others think about those topics. If you want something you're working on to succeed you must take specific action to create the sentimental environment in which that thing can succeed. Fear-driven narratives can create short term bursts of influence and activity, and in the political world they can be used to gain control. But in the consensus world of bitcoin an entirely different sentimental regime is required to foster an environment where change is possible. Confidence, calm, openness, sincerity. These are the sentimental building blocks of change in a consensus system. Look at the history of bitcoin consensus changes. Look at the language used by those who have succeeded and failed in their attempts to improve bitcoin. On the successful side, we've seen simple confident language, direct unambiguous communication, openness to alternatives, calm explanations repeated ad infinitum, sincere interest in concerns, etc. On the failed side, we've seen victim narratives, defensiveness, anger, fear, guilt, etc. The harsh truth of consensus is that leading a bitcoin consensus change is much more about the way we communicate than the exact details of the change. Certainly the change itself must be good, but a good change with poor communication will be just as dead as a bad change. If we want to see bitcoin continue to change for the better, making it better money for more people in the future, we must develop the emotional skills needed to develop consensus around those changes.
Michael Sullivan@SullyMichaelvan

I didn’t want to write this. One of the deepest lessons I’ve learned from researching sentiment data is how irrational and angry people get towards the bottom of Bitcoin bear markets. People that are historically aligned often fall into conflicts that wouldn’t exist near tops. The BIP-110 debate increasingly feels like one of those moments. I wanted no part of that. I’ve been publicly cancelled before, and I have no desire to go through that again. I know how painful it is to have an angry crowd criticizing and shaming you, which gives me a strong bias to avoid situations exactly like this one. But I’m pushing against that bias because (for better or worse) I have a novel dataset that offers a unique lens on the BIP-110 debate. I’m going to attempt to keep this unbiased, but before I do, I’m going to lead with what will be my highest-conviction opinion of the entire piece: People like Mechanic and Luke Dashjr understand Bitcoin’s consensus mechanisms better than I do, while Adam Back and Jameson Lopp grasp Bitcoin’s technical nuances more deeply than I ever will. I am not here to pretend I understand these dynamics of this debate better than the people who have spent years studying them. That’s not why I’m writing this. “Then why should I care what you have to say?” Because there is another side of the debate that is also important, and it’s on this side I have a different perspective. The social layer. For those of you new to my work, I’ve been researching the language, narratives, and emotional patterns of different groups throughout Bitcoin. I’ve been (obsessively) studying the emotional regimes and crowd psychology associated with the space. That includes the people now publicly associated with both sides of the BIP-110 debate… and the differences between these groups are striking. I believe I would be doing a disservice by keeping that data to myself simply because publishing it might piss people off. So there will be no paywall on this piece, no call to action halfway through, and I won’t ask you to become a subscriber. I simply want these charts to exist publicly, where anyone can examine them or interpret them differently than I do. I will try to present it as fairly as I can, but I am not neutral, and neither is anyone reading this. People will inevitably see different things in these charts. This data cannot tell us who is technically correct. But it can help us to surface clues about how the debate is evolving, who thinks they are winning, and why I believe one of these groups is currently experiencing an engagement-reinforced narrative environment.

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Nithu Sezni
Nithu Sezni@nithusezni·
@SullyMichaelvan I'm in the lab cooking you with dank memes as we speak! jkjk, apparently, I'm all out of conviction and can't be bothered!🤣
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@nithusezni Thanks so much man, hoping I don't get called out too harshly but it is what it is 😂 I've actually been watching Kratter's show daily for the last month just to make sure I'm in the loop with all sides of this debate.
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Nithu Sezni
Nithu Sezni@nithusezni·
@SullyMichaelvan Very interesting, thanks for sharing. I wonder if someone will talk about it on their daily podcast.😉🧡
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@JohnXOsterman Definitely not in my positive constellation of emotions, lol. It doesn't show up anywhere right now as this is one of her first times mentioning it I believe. But, as I mention in the piece, things are changing FAST as new people start engaging in the debate.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@Kurtis_NZ Appreciate the great questions. FWIW we all sway the data set in our own unique way, which is why cohorting is the most interesting IMO. For example, in my individual mood data you can literally see things like birth of a child and release of my book in there.
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Kurtis Stirling 🇳🇿 ⚡BIP-448
@SullyMichaelvan That makes sense and is pragmatic. Cool so I would have probably skewed the dataset more angrily last year but calmer this year (well, not that 1 person would make a difference). Cool (and sorry)
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Frank Chaparro
Frank Chaparro@fintechfrank·
Bitcoin and Ethereum tweet volume falls to 12-month lows despite institutional crypto boom
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@thepowerfulHRV Appreciate it Mark, tried to be as unbiased as possible here. I'm just glad that people can now have a slightly more data driven lens to look at what we've been seeing on the timeline (and hopefully reveal a couple things that may have been more subtle).
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@mith_os @stephanlivera That's awesome! This kind of work is so interesting and fun and I am always looking for new ways to visualize things. Appreciate it 🤝
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Mith #BLIP-110
Mith #BLIP-110@mith_os·
@SullyMichaelvan @stephanlivera I'm a UX Researcher at work so I'm actually really interested in similar fields like yours. Let me know if you need any help on data crunching or whatever!
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@noufsmith Interestingly, though in general conviction is down there are some that are growing more confident as things get closer. Many of the loudest voices are getting angrier, and more convicted. But this doesn't appear to be representative of everybody in that group.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@marko_vukolic I do agree with you, I hold many of those in my head at the same time. But I believe they are good representations of the "stories" associated with Bitcoin.
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Marko Vukolić
Marko Vukolić@marko_vukolic·
not all of these are conflicting. I would even argue that all are true - some verbatim some with certain twists. > Bitcoin is digital gold. / Bitcoin is peer-to-peer cash. > Bitcoin is for saving. / Bitcoin is for spending. > Nodes decide. / Markets decide. > Bitcoin is property. / Bitcoin is money. > Bitcoin is neutral. / Bitcoin is inherently political. > Users control Bitcoin. / Economic power controls Bitcoin. > Institutions legitimize Bitcoin. / Institutions neutralize Bitcoin.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
@mith_os @stephanlivera This is a good point, I haven't actually searched for those specific terms yet... But that'll be interesting. Thanks for sharing!
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Mith #BLIP-110
Mith #BLIP-110@mith_os·
we tend to use extreme/desperate measures to win a fight. in a debate, this would be calling people that disagree with you 'pedophiles', or 'knotzis' for the other lane wondering if this data point is reliable to conclude 'the winning side', and whether it could be quantified with your sentiment data?
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
That's a great question. You would be a tricky one, but the basic definition is someone who supports it right here and now. For example many people just recently joined the debate and got thrown in the group, but their entire language data history is included in the lines. This still makes sense IMO because that individual likely joined that side because of similar beliefs/frustrations with bitcoin's direction.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
No worries at all! Great questions. The whole process is a bit complex and I cover it in great detail in a couple of those podcasts linked in the piece if you wanna get my exact methodology (I may need to get a reference video or some thing now that I think of it). I don't share the raw source data for a few reasons, one of which being that it's extremely expensive and not all open source and I'm just trying to reduce my own risks. The cohorting thing is there I spend a TON of time. I've done this for all of the groups I look at, but basically I do an analysis (assisted with tons of AI compute) to validate that there are not individuals in the cohort that don't accurately represent the larger group. If these get flagged I then manually go through and analyze them myself. So people that throw BIP-110 in their bio as a joke are definitely not in there.
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Lonnie VanZandt
Lonnie VanZandt@lonniev·
For a newcomer to the conversation, for your analytics, do you describe your method for determining the sentiment of X posts? Do you share your source data sets? I don't mean to be challenging, only curious. When looking at message quantities and attributing them to a communities, do you filter out handles that simply include BIP110 in them? Someone may decorate their handle with a "team jersey" and then go on to make many comments in many forums being inconsistent about their fidelity to their team jersey. All of their remarks would filter into whatever text in their handle matched your search discriminator.
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Michael Sullivan
Michael Sullivan@SullyMichaelvan·
First two are subjective so I don't let that play a huge role, but the last one is easier to solve. I basically just use accounts of real people that talk in a normal human way. I for sure have some smaller accounts, but I'm pretty confident I have no bots. If I do, at the very most it's less than 1%.
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Brett Aquila
Brett Aquila@BrettAquila·
@SullyMichaelvan Unfortunately, a sizeable chunk of posts are from grifters, another sizeable chunk lacks knowledge, and about half are bots. How do you account for that?
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