Quantum Fear-Mongering and The Infinite Perils Trap
Alex Thorn @intangiblecoins had a strong post on quantum and Bitcoin coming out of the Vegas discussions this week. I agree with most of it, and I think thereโs a broader risk framework that explains why the emerging middle ground is the right one.
The quantum debate keeps skipping the most important question.
Not โis quantum a risk?โ
Of course it is.
The question is what kind of risk it is.
That distinction matters because of a fallacy that shows up in almost every tail-risk debate:
The Infinite Perils Trap.
If a risk sounds catastrophic enough, people start treating any non-zero probability as justification for emergency intervention.
That sounds serious. It is often just sloppy.
There are infinite potential perils. Quantum. AI. Asteroids. Engineered pandemics. State attacks. Supply chain attacks. Unknown unknowns.
You cannot spend 50% of the attention budget on each one.
At some point โprudenceโ becomes resource exhaustion.
This is where Nassim Talebโs systemic-risk filter is useful.
The irony is that Taleb is often invoked to justify maximal precaution, but his framework also tells you when NOT to go all-in. The risks that justify extreme precaution are not merely the ones that sound scary. They are the ones that are connected and scalable.
Connected means the threat spreads through the system.
Scalable means a small failure can cascade into ruin for everyone.
Pandemics qualify. Banking contagion qualifies. Highly levered financial systems qualify.
A car crash does not. A restaurant failure does not. An airline bankruptcy usually does not.
Different risk category, different response.
Now apply that to quantum and Bitcoin.
Quantum is not systemic. It is idiosyncratic.
It fails on scalability.
The attack surface is address-by-address. There is no magic โbreak Bitcoinโ button. Cracking one exposed public key does not mechanically crack the next one. It does not trigger a cascade across the UTXO set. The attacker has to do the work for every address he wants to attack.
Satoshiโs coins are the cleanest example. People talk about them as if they are one giant honeypot. They are not. They are spread across roughly 22,000 separate P2PK addresses, usually 50 BTC each.
A long-range attack would have to go address by address. That is a very different risk profile from โone person can take Satoshiโs million coins.โ
Quantum also fails on connectivity.
A successful crack of an old, long-cold address does not infect other addresses. It does not corrupt consensus. It does not rewrite the ledger. It does not change the 21 million cap. It does not cause other private keys to fall like dominos.
The attacker gets access to specific vulnerable coins.
That may be painful. It may be ugly. It may cause a violent repricing.
But painful is not the same as systemic.
This is also why the โgiant honeypotโ framing needs precision.
The real concentrated targets are exchanges, ETFs, custodians, and other active entities. ETF holders themselves cannot rotate addresses, but the custodians controlling the actual coins can. Same with exchanges. Same with large active treasury holders. If the threat becomes real enough, those entities can move to post-quantum addresses.
Satoshiโs coins are different because they are dormant. But even there, the risk is far more distributed than the panic narrative suggests.
Roughly 22,000 addresses, not one vault.
And this is where the fallacy matters.
Once you misclassify an idiosyncratic risk as systemic, you start justifying interventions that create real systemic risk.
Freeze Satoshiโs coins.
Invalidate old addresses.
Rush immature cryptography into consensus.
Force a panic fork.
Create gridlock around every other upgrade.
Turn every theoretical threat into a political emergency.
That is where the systemic risk actually lives.
The intervention scales.
The intervention connects.
The intervention changes the property-rights model.
Bitcoin can survive old coins moving. It cannot survive the normalization of โthese coins make us nervous, therefore we can touch them.โ
That precedent would propagate everywhere.
Lost coins.
Dormant coins.
Sanctioned coins.
Coins from old hacks.
Coins held by unpopular people.
Coins held by political enemies.
Coins that some future coalition decides are dangerous.
That is connectivity.
That is scalability.
That is systemic.
The cure becomes the contagion.
This is why โdonโt touch Satoshiโs coinsโ is not sentimental. It is the rigorous answer.
Property rights are not downstream of convenience. They are the product.
Bitcoin does not promise that every old cryptographic choice will remain optimal forever. It promises that valid coins remain valid coins, and that nobody gets to rewrite the rules because a future committee got scared.
The market absorption point is secondary, but still important.
Even in a nightmare scenario where very old coins moved, that is a market event, not a protocol death. Data from @Checkmatey and others shows Bitcoin absorbing 1M+ BTC of movement since October 2025 alone.
A massive supply shock would hurt.
It would not require us to violate property rights to survive.
That is the point.
None of this means โignore quantum.โ It means classify the threat properly.
Working on post-quantum cryptography, testing schemes, compressing signatures, debating implementation paths, funding serious work, and having credible options on the shelf are all good things.
The middle ground seems basically right:
Do the work.
Prepare contingencies to have on the shelf if needed.
Do not rush the protocol.
Do not touch Satoshiโs coins.
Quantum is worth working on even if it remains a low-probability tail risk. But a low-probability tail risk is not a license to break Bitcoinโs deepest norms.
That is the Infinite Perils Trap.
If every scary non-zero risk becomes a protocol emergency, Bitcoin stops being conservative money and becomes a committee-managed anxiety machine.
The right response is not complacency, it is proportionality.
Quantum is a real research problem, but it is not a reason to freeze coins.
Prepare seriously.
Move slowly.
Preserve the rules.
Leave Satoshiโs coins alone.
The FUD-busting site is working pretty well!
- Acknowledges the concern
- Shows where it is inaccurate/misleading using data
- Reveals a related surprising truth that evidences Bitcoin's superiority to tradfi
Try it out for yourself
https://t.co/yMJB5CW0ox
New podcast on vibe coding - A Return to Code.
A Return to Coding 00:20
The Personal App Store 03:17
Vibe Coding Is a Video Game with Real-World Rewards 06:22
Pure Software Is Uninvestable 10:33
A Place for Each Model 14:22
AI Is Eager to Please 17:57
Why Math and Coding? 22:10
The Beginning of the End of Appleโs Dominance 24:17
Coding Agents As Customer Service Reps 27:55
Need a direct way to sync Claude Skills between my local Claude Code files and Claude/Cowork. Annoying to have to maintain them in 2 places places.
All the building blocks in Claude ecosystem are there. Just need them to be more seamlessly connected.
SPEAKEASY: The Rise of Useful AI: Who's Winning, and Who's Losing?
Right now there are two realities running in parallel. In one, small groups of people are 10x-ing their output and collapsing timelines that used to take whole departments. In the other, companies are stuck in โpilotโ mode, and individuals are telling themselves theyโll catch up later, while their edge gets hollowed out in real time.
Let's talk about what โuseful AIโ actually looks like in practice, where itโs already replacing workflows (not just augmenting them), why the gap is widening so fast, and what separates the winners from the people who donโt realize theyโre losing yet.
Monday, March 16th, at 3pm ET / noon PT
https://t.co/PHOfy5Ye0d
Not only have murder rates declined, fentanyl deaths have also dropped massively
Looks like securing the border and cutting the flow of illegals into America works
๐๐ก๐ ๐๐% ๐๐จ๐ง๐ฌ๐๐ง๐ฌ๐ฎ๐ฌ ๐๐ฒ๐ญ๐ก ๐๐๐๐ฎ๐ง๐ค๐๐
One of the most pervasive myths in science is that 97% (or sometimes stated as >99%) of โclimate scientistsโ agree that all global warming since the mid-19th century is human-caused and that this warming is an existential threat to the welfare of the planet and all life on it.
Except, this statistic is largely made up, and no matter how many times it is quashed, it persists as a talking point in online forums.
The โconsensus of scientistsโ is not organic. Rather, it was manufactured through questionable methods in two studies, both published in Environmental Research Letters (ERL): Cook et al. (2013) and Lynas et al. (2021).
Let's look closer at these studies. ๐
๐๐๐ โ๐๐% ๐๐๐๐๐๐๐๐๐โ
The paper that got this all started was published in ERL in 2013.
๐ https://t.co/irnDb8FOq3
Led by cognitive psychologist John Cookโa Senior Research Fellow at the Melbourne Centre for Behaviour Change and founder of the climate blog, Skeptical Scienceโhe and eight co-authors skimmed the abstracts of 11,944 climate-related papers published between 1991 and 2011.
Of the 11,944 abstracts, a total of 7,930 (66.4%) of them expressed ๐๐ ๐๐๐๐๐๐๐๐ on the cause(s) of global warming since the pre-industrial era.
Of the remaining 4,014 abstracts that endorsed either anthropogenic global warming (AGW) or natural global warming, 3,896 (97.1%) endorsed AGW in at least some capacity, while 78 (1.9%) questioned or rejected AGW. The remaining 40 (1%) of papers expressed uncertainty.
But, it gets even more nuanced than that if we look at the abstracts and pick them apart. On whether global warming is being caused entirely by human activities, by nature, or by a combination of both, of those 4,014 papers, they state warming is caused:
๐ด Entirely by humans: 64 papers (1.59%)
๐ค >>50% by humans: 922 (22.96%)
๐ก Equally natural + man-made: 2,910 (72.50%)
๐ข >>50% by natural cycles: 54 (1.35%)
๐ต Man is causing no warming: 24 (0.60%)
๐คท Don't know: 40 (1.00%)
So, a โ97% consensusโ can be contrived by either (a) omitting the 7,930 (66.4% of) abstracts in the 11,944-paper sample that did not explicitly state a position on the drivers of global warming, or by (b) lumping all 3,896 abstracts that endorsed at least some anthropogenic component as entirely endorsing AGW.
Either way, that's sausage-making. ๐ญ
But, what about the >99% consensus?
๐๐๐ โ>๐๐% ๐๐๐๐๐๐๐๐๐โ
Like Cook et al. (2013), Lynas et al. (2021) attempted to quantify the consensus on AGW.
๐ https://t.co/yDlXp7QoDu
In this synthesis, 3,000 climate papers were selected at random. In that batch, 282 were marked as false positives since they weren't actually climate-related. Thatโs fair. So, the analysis continued with the remaining 2,718 peer-reviewed articles.
Of those, 1,869 (68.8%) of them took ๐๐ ๐๐๐๐๐๐๐๐ on AGW. And, like Cook et al. (2013), all 1,869 papers neither endorsing nor rejecting AGW were discarded. Of the remaining 849 papers that did endorse a position, 845 (99.5%) of them sided with AGW while four did not.
So, like Cook et al. (2013), Lynas et al. (2021) ignored over 65% of the papers selected that didn't take one position or the other on the physical driver(s) of global warming. By doing this, the authors could artificially manufacture a consensus on an issue where none actually existed if all of the relevant papers were considered.
The advantage that Lynas et al. (2021) has over Cook et al. (2013) is that each paper was examined thoroughly rather than just the abstract. This made for a more thorough analysis despite the same flawed methodology both used in ignoring the majority of papers that took a neutral stance.
๐๐ฎ๐ญ, ๐ฐ๐๐ข๐ญ, ๐ญ๐ก๐๐ซ๐'๐ฌ ๐ฆ๐จ๐ซ๐. . .
Climate activists will argue that the authors of Cook et al. (2013) and Lynas et al. (2021) were justified in excluding the 66.4% and 68.8% of papers, respectively, that did not express a position, on the grounds that those studies did not focus on identifying or discussing causal links.
But, that's just hand-waving. ๐
The fact is that not all of the studies endorsing AGW investigated the physical driver(s) of temperature change since 1850. In fact, in order to qualify as endorsing (or rejecting) AGW, a paper merely needed to take a stance on the issue, regardless of whether or not the study's focus was on the physical drivers of climate change.
You will find when reading through the literature that even papers challenging the conventional narrativeโsuch as on topics like climate model performance, trends in extreme weather, and/or the efficacy of โnet zeroโ policiesโalmost always include the disclaimer that mankind's carbon dioxide (COโ) emissions are the proximate cause of all global warming. This is done so that the paper satisfies reviewers and journal editors enough to get accepted for publication. This is the science equivalent of a land acknowledgement to be in good standing with gatekeepers.
Another point I should add about Cook et al. (2013) and Lynas et al. (2021) is that neither paper frame their findings as being a reflection of the โconsensus of scientists.โ So, when climate activists claim that 97-99% of experts agree, that's not accurately stating what these studies purport.
๐๐๐ข๐๐ง๐ญ๐ข๐๐ข๐ ๐๐จ๐ง๐ฌ๐๐ง๐ฌ๐ฎ๐ฌ ๐ฏ๐ฌ. ๐๐จ๐ง๐ฌ๐๐ง๐ฌ๐ฎ๐ฌ ๐จ๐ ๐๐๐ข๐๐ง๐ญ๐ข๐ฌ๐ญ๐ฌ
Another point I should add about Cook et al. (2013) and Lynas et al. (2021) is that neither paper frame their findings as being a reflection of the โconsensus of scientists.โ So, when climate activists claim that 97-99% of experts agree, that's not at all an accurate framing of these papers' findings.
The papers actually attempted to quantify the โscientific consensusโ on AGW, which is a consensus of what the published literature says. That is different from a โconsensus of scientists,โ which is essentially nothing more than an expert opinion poll.
What's more, neither of these reviews addressed the million-dollar question, which is whether or not global warming has been [or will be] dangerous. Just because our GHG emissions ๐๐๐ฆ have caused some [or even most of the warming] since the onset of the Industrial Revolution, that tells us nothing about the level of danger posed by it short- and long-term.
So, what do we actually know about what scientists think about (a) the cause(s) of global warming and (b) whether or not they think it is dangerous?
Thankfully, we have some insight into that.
๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐
While a โconsensus of scientistsโ (i.e., expert opinion poll) is less robust than a โscientific consensusโ (i.e., synthesis of published literature), one advantage that polling scientists for their opinion has over the latter is that it gives them anonymity to express their views on the issue without having to fear losing their job or having their paper(s) rejected by biased journal editors (the gatekeepers).
Prestigious, lauded scientific organizations such as the American Geophysical Union (AGU), the American Meteorological Society (AMS), and the Royal Society have manufactured a โconsensus of scientistsโ by taking a very strong stance on the climate issue without first consulting their members for their views.
Both the AGU and AMS recently did just that following the Trump administration's decision to repeal the Obama-era 2009 Endangerment Finding that allowed the EPA to regulate tailpipe emissions.
From the AGU,
๐จ๏ธโ๐ด๐บ๐ ๐ข๐๐๐๐ข๐๐ฃ๐๐๐๐๐๐ฆ ๐๐๐๐๐๐๐๐ ๐กโ๐๐ ๐๐๐๐๐๐๐ ๐ ๐๐๐ ๐ ๐๐๐ ๐๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐, ๐คโ๐๐โ โ๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ก๐๐๐๐ ๐๐๐ โ๐ข๐๐๐ ๐ค๐๐๐-๐๐๐๐๐ ๐๐๐ ๐กโ๐ ๐๐๐ฃ๐๐๐๐๐๐๐๐ก. ๐ผ๐ก ๐๐๐๐๐๐๐ ๐กโ๐ ๐๐ฃ๐๐๐คโ๐๐๐๐๐๐ ๐๐ฃ๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐ก๐ ๐โ๐๐๐๐โ๐ ๐๐๐ข๐๐ก๐๐๐ ๐ก๐๐๐, ๐๐๐๐ ๐๐๐๐๐๐ฆ โ๐๐๐ก๐ค๐๐ฃ๐๐ ๐ก๐ ๐๐๐ ๐๐๐ ๐ ๐๐ ๐๐๐ฃ๐๐๐ , ๐๐๐ ๐ข๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐ โ๐๐๐-๐ค๐๐ ๐๐๐๐๐๐๐ ๐ ๐๐ ๐๐ข๐๐๐๐๐๐ ๐ ๐๐๐ข๐๐๐๐ก๐๐๐ ๐๐๐ ๐๐๐๐๐๐ก๐ ๐๐๐๐๐ข๐๐ก๐๐๐๐๐๐ก๐ฆ. ๐๐๐๐ ๐ ๐ ๐ก๐๐๐, ๐๐ก ๐๐๐๐๐๐ ๐๐ข๐๐๐๐ ๐ก๐๐ข๐ ๐ก ๐๐ ๐กโ๐ ๐๐๐๐ ๐๐ ๐ ๐๐๐๐๐๐ ๐ก๐ ๐๐๐๐๐๐ ๐ ๐๐ข๐๐ ๐๐๐๐๐๐ฆ.โ
๐https://t.co/ORqc0alq2a
And, from the AMS,
๐จ๏ธโ๐โ๐ ๐ด๐๐๐๐๐๐๐ ๐๐๐ก๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ก๐ฆ (๐ด๐๐) ๐๐ ๐๐๐๐๐๐ฆ ๐๐๐๐๐๐๐๐๐ ๐๐ฆ ๐กโ๐ ๐๐๐๐๐๐ ๐๐ ๐ธ๐๐ดโ๐ 2009 ๐ธ๐๐๐๐๐๐๐๐๐๐๐ก ๐น๐๐๐๐๐๐, ๐คโ๐๐โ ๐๐๐๐๐๐๐ก๐๐ฆ ๐๐๐๐๐๐ข๐๐๐ ๐กโ๐๐ก ๐๐๐๐๐โ๐๐ข๐ ๐ ๐๐๐ ๐๐๐๐ ๐ ๐๐๐๐ โ๐๐๐ โ๐๐๐๐กโ ๐๐๐ ๐ค๐๐๐-๐๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๐๐๐ ๐๐๐ ๐๐ข๐๐๐๐๐ก ๐๐๐ ๐๐ข๐ก๐ข๐๐ ๐๐๐๐๐๐๐ก๐๐๐๐ .โ
The letter continues, asserting without presenting a single shred of evidence, that,
๐จ๏ธ โ๐โ๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐๐๐๐ก๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐๐ ๐ ๐๐๐ฃ๐๐๐ก๐ โ๐๐ฃ๐ ๐กโ๐ ๐๐๐๐๐ก๐๐ ๐ก ๐๐๐ก๐๐๐ก๐๐๐ ๐ก๐ ๐ ๐๐๐ฃ๐ ๐กโ๐ ๐๐๐ก๐๐๐ ๐คโ๐๐ ๐กโ๐๐ฆ ๐๐๐ ๐ข๐๐๐๐๐๐๐๐๐๐ ๐๐ฆ ๐กโ๐ ๐๐๐ ๐ก ๐๐ฃ๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐ก๐๐๐๐ ๐๐๐๐ค๐๐๐๐๐ ๐๐๐ ๐ข๐๐๐๐๐ ๐ก๐๐๐๐๐๐. ๐โ๐ ๐๐๐๐๐๐ ๐๐ ๐กโ๐ ๐ธ๐๐๐๐๐๐๐๐๐๐๐ก ๐น๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐ก ๐๐๐ก๐๐ ๐กโ๐ ๐๐๐๐ก๐๐๐ ๐ข๐๐๐๐๐๐๐ข๐๐ข๐ ๐ ๐๐๐๐๐ก๐๐๐๐ ๐๐๐๐๐๐ข๐ ๐๐๐: ๐โ๐ ๐๐๐๐๐๐ก๐ ๐โ๐๐๐๐ ๐กโ๐๐ก ๐๐๐๐๐๐ ๐๐๐ ๐๐๐ข๐ ๐๐๐ ๐กโ๐๐๐๐ก๐๐๐ โ๐ข๐๐๐ ๐๐๐ฃ๐๐ ๐๐๐ ๐ค๐๐๐-๐๐๐๐๐.โ
๐https://t.co/Ryl0cDXXBq
Both statements were written without consultation of each organization's professional members.
Contrary to the AMS' partisan take, we actually have good insight into what their members think about (a) the cause(s) of global warming and (b) whether or not they think warming is dangerous.
In January 2016, Dr. Ed Maibach and colleagues from George Mason University (GMU) polled all 7,682 (at that time) professional members of the AMS on their views on climate change. A handful of questions were asked with several follow-ups.
๐https://t.co/wmQLbvZEhR
The survey had a 53.3% participation rate and there were 4,092 respondents (p. 1).
Here are a sample of the questions asked:
1โฃ ๐ฅ๐ฒ๐ด๐ฎ๐ฟ๐ฑ๐น๐ฒ๐๐ ๐ผ๐ณ ๐ฐ๐ฎ๐๐๐ฒ, ๐ฑ๐ผ ๐๐ผ๐ ๐๐ต๐ถ๐ป๐ธ ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๏ฟฝ๏ฟฝ ๐ถ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ถ๐ป๐ด? (4,091 responses)
โ Yes: 96%
โ No: 1%
๐คท Don't know: 3%
โฆ [Follow-up, only asked to those who answered โYesโ to 1] ๐๐ผ๐ ๐๐๐ฟ๐ฒ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ต๐ฎ๐ ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐ถ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ถ๐ป๐ด? (3,854 responses)
๐ข Extremely sure: 58%
๐ต Very sure: 31%
๐ก Somewhat sure: 10%
๐ด Not sure: 0%
โฆ [Follow-up, only asked to those who answered โNoโ to 1] ๐๐ผ๐ ๐๐๐ฟ๐ฒ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ต๐ฎ๐ ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐ถ๐ ๐๐๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ถ๐ป๐ด? (53 responses)
๐ข Extremely sure: 13%
๐ต Very sure: 43%
๐ก Somewhat sure: 38%
๐ด Not sure: 6%
2โฃ ๐๐ผ ๐๐ผ๐ ๐๐ต๐ถ๐ป๐ธ ๐๐ต๐ฎ๐ ๐๐ต๐ฒ ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐๐ต๐ฎ๐ ๐ต๐ฎ๐ ๐ผ๐ฐ๐ฐ๐๐ฟ๐ฟ๐ฒ๐ฑ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฒ ๐ฝ๐ฎ๐๐ ๐ฑ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐ ๐ต๐ฎ๐ ๐ฏ๐ฒ๐ฒ๐ป ๐ฐ๐ฎ๐๐๐ฒ๐ฑ... (4,004 responses)
๐ด Largely / entirely by humans (>81%): 29%
๐ค Mostly by humans (60-80%): 38%
๐ก Roughly equally natural + man-made: 14%
๐ข Mostly by natural events (60-80%): 7%
๐ต Largely / entirely by natural events (>81%): 5%
๐คท Don't know: 6%
โ Climate has not changed: 1%
6โฃ ๐ง๐ผ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐ผ๐ณ ๐๐ผ๐๐ฟ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ, ๐ต๐ฎ๐ ๐๐ต๐ฒ ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฎ๐ฟ๐ฒ๐ฎ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ๐ฑ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฒ ๐ฝ๐ฎ๐๐ ๐ฑ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐? (4,002 responses)
โ Yes: 74%
โ No: 11%
๐คท Don't know: 15%
โฆ [Follow-up, only asked to those who answered โYesโ to 6] ๐ช๐ต๐ถ๐ฐ๐ต ๐ผ๐ณ ๐๐ต๐ฒ ๐ณ๐ผ๐น๐น๐ผ๐๐ถ๐ป๐ด ๐ฏ๐ฒ๐๐ ๐ฑ๐ฒ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ๐ ๐๐ต๐ฒ ๐ถ๐บ๐ฝ๐ฎ๐ฐ๐(๐) ๐ผ๐ณ ๐๐ต๐ฒ ๐น๐ผ๐ฐ๐ฎ๐น ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฎ๐ฟ๐ฒ๐ฎ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฒ ๐ฝ๐ฎ๐๐ ๐ฑ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐? (3,546 responses)
๐ข Exclusively beneficial: 0%
๐ต Primarily beneficial: 4%
๐ก Equally mixed, beneficial + harmful: 36%
๐ค Primarily harmful: 36%
๐ด Exclusively harmful: 2%
๐คท Don't know: 21%
7โฃ ๐ง๐ผ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐ผ๐ณ ๐๐ผ๐๐ฟ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ, ๐๐ถ๐น๐น ๐๐ต๐ฒ ๐น๐ผ๐ฐ๐ฎ๐น ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฎ๐ฟ๐ฒ๐ฎ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐ ๐ฑ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐? (3,963 responses)
โ Yes: 78%
โ No: 5%
๐คท Don't know: 17%
โฆ [Follow-up, only asked to those who answered โYesโ to 7] ๐ช๐ต๐ถ๐ฐ๐ต ๐ผ๐ณ ๐๐ต๐ฒ ๐ณ๐ผ๐น๐น๐ผ๐๐ถ๐ป๐ด ๐ฏ๐ฒ๐๐ ๐ฑ๐ฒ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ๐ ๐๐ต๐ฒ ๐ถ๐บ๐ฝ๐ฎ๐ฐ๐(๐) ๐ผ๐ณ ๐๐ต๐ฒ ๐น๐ผ๐ฐ๐ฎ๐น ๐ฐ๐น๐ถ๐บ๐ฎ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฎ๐ฟ๐ฒ๐ฎ ๐ผ๐๐ฒ๐ฟ ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐ ๐ฑ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐? (3,761 responses)
๐ข Exclusively beneficial: 0%
๐ต Primarily beneficial: 2%
๐ก Equally mixed, beneficial + harmful: 29%
๐ค Primarily harmful: 47%
๐ด Exclusively harmful: 3%
๐คท Don't know: 19%
So, based on this 2016 survey of professional AMS members, of those who responded,
โข 96% of AMS members agree that climate change is occurring, regardless of the proximate cause.
โข 67% of AMS members agree that change has primarily been human-caused, but the contribution estimates vary considerably. 67% is far from a consensus given that 33% have a different opinion.
โข 38% of AMS members agree that the impacts of climate change in their localities have been negative over the last 50 years. However, 40% said that the impacts have been mixed or primarily beneficial, and 21% said that they weren't sure.
So, what can we truly conclude about the โconsensus of scientistsโ on climate change?
โข Is climate change occurring? โ
โข Human activities contribute to global warming in at least ๐บ๐ถ๐ด๐ฌ capacity? โ
โข Climate change is [or will be] dangerous? โ
And, this exactly summarizes my position (despite the constant framing by detractors that I'm a โdenierโ). It also matches fairly closely with the abstracts in Cook et al. (2013) once you categorize the papers' findings correctly and account for nuance.
Thus, just because global warming is real and we do play some role in causing it is still not a good enough justification to rapidly eliminate fossil fuels from our energy mix. There must be sufficient proof that this warming poses a great threat to the welfare of the planet and life on it, and that has yet to be provided contrary to the BS-infused letters written by the AGU and AMS last week.
So, when climate alarmists [most of whom have no qualifications of their own] claim that I am standing at odds with organizations like the AMS or NASA, quite frankly, I don't care.
It is clear from the survey results above that there is a greater disagreement among scientists than you are led to believe by what both the gatekeepers allow to be published in journals and what higher-ups within scientific organizations claim is the universal position among their members.
Government and university research scientists also are often told what they can and cannot say publicly about climate change. I know that for a fact because I have family that are federal employees, and I know quite a few skeptics in academia at different colleges / universities that play the game to avoid being fired, but in reality, don't agree with alarmist messaging in the slightest.
Last, but not least, consensus isn't science.
Science requires one investigator who happens to have verifiable data and evidence.
Princeton professor Stephen Macedo provides a retrospective on covid-era policies including the following:
1. He calls it the flu. I am old enough to remember when we were told that is a conspiracy theory.
2. There was decades of pandemic planning before Covid. The consensus was that school and workplace closures, restrictions on gathering sizes, mask mandates, social distancing measures, etc., were NOT effective and that the cost of doing so would be very high.
3. Measures NOT recommended by the WHO in their 2019 pandemic planning documents included contact tracing, quarantine of exposed individuals, entry/exit screenings, border closings, and school closures.
Johns Hopkins said essentially the same thing just months before Covid started and made the point that the overbearing measures might be used for political reasons. Iโve said it for years that Covid kicked off 2020 e!ection theft season.
4. In 2008, the ACLU said (in relation to Bush-era pandemic preparedness planning) that fear of diseases has justified abuses of state power, that coercion and brute force breeds pubic distrust, strategies that rely on voluntary participation do work as long as public health officials are working to help people not punish them, and that minorities bear the brunt of tough public safety measures.
The ACLU said noting during Covid which tells us something since they have been co-opted by Democracy Inc.
5. The professor made the point that they declared a war on Covid where dissent was not welcome, including from Jay Bhattacharya, the current director of the NIH.
6. The Covid measures that they put in place had no effect on mortality but they had a devastating impact on society and people especially related to young people and education. The measures also contributed to higher rates of crime, substance abuse, and depression, and had a negative impact on overall health.
7. He then mentions the origins of Covid. They all knew it came from the Wuhan lab but they lied about it which has led to the distrust in supposed experts and institutions. Covid had furin cleavage sites which are manmade. It did not come from a wet market or raccoon dogs.
After all of that, not one person has been held accountable.
"I am a man. See me as a human beingโnot a birth defect, not a syndrome. I donโt need to be eradicated."
Frank Stephens pleads for the humanization of people with Down syndrome, studies suggest 67-90% are aborted in the United States due to faulty prenatal screenings.
I am grateful to Don Lemon.
In 2020, my mom listened religiously to CNN, buying into their unhinged covid fear mongering.
After the GBD, she heard Don call me names on TV, decided CNN was fake news, and turned it off forever. It made her life so much better ever since.