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Truth Signal Profile picture
@de_bose
Sep 18, 2021 • 7 tweets • 5 min read • Read on X
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1/ The Vax$ contains the RNA (encapsulated in liposome) to make one of the spikes found on the outside of the coronavirus. When injected, it is absorbed into a cell and makes one of those spikes on the outside of whatever cell it went in to.

#VaccineMandate #VaccinePassport
2/
 The RNA shot was supposed to stay in the arm muscle, making those spikes on the outside of muscle fibres, but instead most of it got flushed into the blood and spread around the body.

#VaccineMandate #VaccinePassport
3/
 The place where blood slows down the most is in the capillaries & this is where the RNA has mostly been absorbed & those are the cells that started growing those little spikes.

Problem is those capillaries are supposed to be nice and smooth.

#VaccineMandate #VaccinePassport
4/ But those capillaries are now rough with all the spikes. The body sees this and thinks its damaged, so tries to fix the damage by making blood clots. These tiny, microscopic bloodclots are now travelling around in your bloodstream.

#VaccineMandate #VaccinePassport
5/
 Travelling around the blood, these clots start blocking other capillaries, mainly in the brain, lungs, heart, kidneys and reproductive organs. Its looking increasingly like the blood clotting doesn't stop even months after taking the #vaccine.

#VaccineMandate #VaccinePassport
Although our bodies keeps making these clots, thankfully this can detected with a standard blood test called D-Dimer. If you took the shot, you are 65% likely to be producing clots continuously. Some of them are what doctors call “micro-clots” and are benign. Measure IL-6 & CRP.
Now this thrombotic processes are complex, and deep in biochemistry. What makes it even more complex is there are around 1206 genetic SNPs associated with DVT

jamanetwork.com/journals/jama/…

This coupled with any co-existing lipid disorders makes the statistical variance high.

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More from @de_bose

Truth Signal Profile picture
Aug 12
Thread on $cience which I’ll attach to an old thread of mine.

The empire has no lab coat: When “The Science” became a secular priesthood immune to questioning

The modern world has witnessed a dangerous transformation: science as a method of inquiry has been replaced by “The Science” as an infallible institution demanding blind faith.

What began as humanity’s greatest tool for understanding reality has mutated into a corrupt enterprise where $377.6 billion in pharmaceutical shareholder payouts matters more than truth, where 89% of landmark cancer studies can’t be replicated, and where dissenting voices are silenced with the same fervor once reserved for heretics.

This thread examines how institutional capture, financial corruption, and ideological dogma have created a crisis that threatens both scientific progress and public trust.

1/N
The reproducibility apocalypse no one wants to discuss

The dirty secret of modern science is that most published research is wrong. When the Open Science Collaboration attempted to replicate 100 psychology studies from prestigious journals, only 36% successfully reproduced

science.org/doi/10.1126/sc…

The situation in biomedical research is even more catastrophic: when Amgen scientists tried to replicate 53 “landmark” cancer studies that had shaped entire research programs, only 6 studies (11%) could be confirmed

nature.com/articles/48353…

Glenn Begley, who led this effort, reported desperately watching patients nearly dying from bleeding ulcers while knowing antibiotics could cure them - but the medical establishment refused to accept the evidence for over a decade

The mechanisms of this failure are well-documented but rarely discussed. Researchers engage in “p-hacking” - manipulating data analysis until they achieve the magical p<0.05 threshold that journals demand. They practice HARKing (Hypothesizing After Results are Known), presenting exploratory fishing expeditions as if they were confirmatory studies. Optional stopping allows them to halt data collection the moment statistical significance appears

pmc.ncbi.nlm.nih.gov/articles/PMC51…

The American Statistical Association took the unprecedented step in 2016 of warning that “statisticians have been sounding the alarm about these matters for decades, to little avail.”

2/N
Even outright fraud goes undetected for years. Diederik Stapel fabricated data across 58 publications over eight years before graduate students noticed identical data rows in different studies.

sciencedirect.com/topics/psychol…

Jan Hendrik Schön published 90+ fraudulent papers in Nature and Science, claiming breakthrough discoveries in molecular electronics at a rate of one paper every eight days.

aps.org/apsnews/2022/0…

Marc Hauser, a Harvard psychology professor studying moral behavior, was found “solely responsible” for fabricating data across six federally funded studies.

These aren’t isolated incidents - they’re symptoms of a system where annual retractions are growing by 23% per year and nearly half stem from data authenticity issues.

3/N
Read 15 tweets
Truth Signal Profile picture
Mar 22
I can help you, more than any PhDx100 or Psychologist, to reduce stress and improve mental health.

Couple of things would improve most of all your mental health / stress / anxiety issues

- Go back to Nature in whatever way you can. Be it forest bathing, camping or surfing. Do an activity amidst Nature, ideally in a small group. And do it often.

- Faith and Prayer.

- Chronic stress is basically the gap between Expectations and Reality. Since Industrial Revolution, and more, since Tech Revolution, our expectations have inflated massively by seeing few entrepreneurs becoming super-wealthy and powerful. From JPMorgan to Elon. It’s increasingly (this is KEY) impossible for anyone become insanely successful starting from modest background. Ancestral wealth and ability to form nepotistic social connections are absolutely necessary. Thus, having high expectations based on Meritocracy alone, just because MSM told you so, will cause lots of stress. For a long time, most of peasants (>90% used to be peasants not so distant back) have minimal Expectations/Aspirations. They knew Elites gonna play Elite games, but they didn’t have to listen to that as there were no mass media to brainwash them.

- Meaningful small community

TL;DR

Nature + Faith + Less Expectations + Cohesive small communityImage
Building a giant thread of mental health:
Across the countries, one of the key metrics (yes; satirically) of urbanised “$progress” has been massive increase of depression and mental health issues
Read 4 tweets
Truth Signal Profile picture
Dec 16, 2024
A thread on how AI/ML would affect jobs markets and society in general.

What would be economic value (jobs) of humans when:

- There are competent AIs smarter than any human
- They are embodied (robots)
- They work 24/7 at the cost of electricity & maintenance

A combination of existing threads and new posts

Thread 🧵 1/N
When we say "us", "we", "society", we are actually building imaginary clans/tribes on our minds.

If history and technological progress till today are of any support, it has been seen that, beyond compassionate types, humans usually don't care about other humans unless certain tribes or groups or cliques (be it "Angel investors of Uber", "Macro traders of 90s", "Silk exporters associated with East India Company" etc.) can extract wealth by virtue forming associations often being closer to the money-flow/Governments/Nationalised-Debt.

Core driver has always been: "maximal fertility using wealth/tech/ML as advantage in survival struggle"

Same applies for AI/ML

For majority AI/ML would be terrible, a commodity (more on this later) and a necessary evil. But for a select few, this will reduce production cost drastically, like all other automations

Now if commoners would think, "oh, I'll capture the growth by investing AI/ML/Robotics ETFs". Sure, but every other retailers would do that, and it will not give any survival advantage, unless one gets privileged access to private deals in AI/ML/Robotics businesses/ventures early.

On commodification: AI-As-Service (AIAS)

"AI's potency and ubiquity have increased, so too has its strategic value. It’s a reasonable assumption, even an intuitive one. But it’s mistaken.

What makes a resource truly strategic – what gives it the capacity to be the basis for a sustained competitive advantage – is not ubiquity but scarcity. You only gain an edge over rivals by having or doing something that they can’t have or do.

By now, the core functions of AI/ML – foundation models, algorithms, compute resources, service endpoints and even data (via Data Exchanges) – have become available and affordable to all.

Their very power and presence have begun to transform them from potentially strategic resources into commodity factors of production. They are becoming costs of doing business that must be paid by all but provide distinction to none"

2/N
Now coming to jobs:

18Y in STEM. Worked from Fortune50 to startups. Actually coded startups than many who rode the FAANG wave in non-tech jobs.

Most tech jobs are “fake” and only sustained by low cost of debt (ZIRP).

In fact, most Symbol Production/Knowledge Sector jobs are fake. (Pic 1)

Other than Farming/Utilities/ACUTE healthcare most jobs exist purely because of inflationary monetary policies/Nationalised Debt/criminally low IR.

It has been thus, since 1800 - Industrial Revolution.

In fact most jobs exists a coping mechanism to support the mythical hypothesis of "Urbanised Progress", yet most of QoL metrics are down.

David Graeber’s Bullshit Jobs is a scathing critique of modern work culture, exposing the absurdity of roles that serve no real purpose other than to keep people employed for appearances. From pointless middle managers to box-ticking bureaucrats, he highlights how capitalism—supposedly a champion of efficiency—creates layers of meaningless jobs to uphold power structures and justify inequality.

That Financial analyst pushing a complicated looking Spreadsheet or Python model for a leveraged buyout (LBO) in a PE firm, is BS job, that can easily be automated.

Moreover, going deeper, this transition to Knowledge Economy has been devastating from a public health POV. Long sedentary jobs without actual/physical tangible reward upon completion/achievement which our mind is designed to appreciate, is a root of many diseases & mental health crisis. Instead of solving the root, we cope (need a sedentary job to beat the M2 inflation) by exercising a little while remaining permanent clients for Pharmaceuticals industry.

GDP-maximalism, ignoring all the negative systemic issues.

x.com/saintslielow/s…

3/NImage
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Read 9 tweets
Truth Signal Profile picture
Sep 6, 2024
I’ve a Bayesian theory around why “believe in science” and “believe in technocratic progress” are so high, even if the counter-evidences are strong.

Thread 🧵

1/N Image
The belief, held by humanity until “Industrial Revolution” (1800), emphasized that the future wouldn't necessarily improve upon the past.

Key values included - small, short-term, and high-interest loans (debt is bad and makes society eventually enslaved), focusing on contentment rather than progress, prioritizing family and community, and adhering to spiritual wisdom that warned against exceeding human limitations, as doing so would lead to disappointment and disaster.

2/NImage
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Then came Malthusian Equilibrium and “Trap”.

The Malthusian Trap refers to a situation where, despite improvements in productivity, population growth absorbs the surplus, preventing any sustainable increase in living standards.

This is a key component of Thomas Malthus's theory of population dynamics.

Malthus argued that while technological advancements or improvements in agricultural productivity might temporarily raise the average product of labor, they would lead to higher population growth.

As a result, the growing population would eventually reduce per capita income back to subsistence levels, creating a cycle of short-term prosperity followed by long-term stagnation, known as the Malthusian Equilibrium.

In the diagrams provided, this concept is illustrated by showing how increases in productivity (as seen by the shift upward in the productivity curve) only lead to short-term improvements in wages or average product.

However, population growth eventually drives wages back down to subsistence levels (e.g., point G on the APL curve). The historical data from the 1400s to 1800s shows that increases in population correspond to falling wages, as predicted by Malthus's model.

The core idea behind the Malthusian Trap is that productivity gains are self-limiting in pre-industrial societies. Without sustained technological advancement and significant changes in economic institutions (such as those sparked by the Industrial Revolution), population pressure will continually suppress long-term improvements in living standards.

3/NImage
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Read 41 tweets
Truth Signal Profile picture
Aug 21, 2024
Life can be blissful without even knowing mathematical and physical basis of reality.

The more one acquires mainstream
education, the more inflated lifestyle becomes, more status-hungry partner one ends up choosing, more demand come from life-events and more necessity it seems to earn money (fiat) in order to satisfy those requirements, more one has to depend on someone for job (referrals, promotions etc.) and play the “game” etc.

Return on education (I know lots of Asians are growing up being brainwashed by the worldview that a 120K-150K MBA and FAANG/IB/Bank job is key to a happy life. That’s far from truth) over years have been abysmal.

This will be a long thread on practical and philosophical futility of modern education !

Long thread 🧵

1/NImage
If you are a man, T-levels (testosterone) are one of the most important health dimension for you. And guess what - college-education reduces T levels.

(Testosterone levels according to ethnicity and education in a sample of male American veterans; median age of the sample was 37 years (redrawn from Mazur 1995))

1/NImage
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"Pedigree: How Elite Students Get Elite Jobs" by Lauren A. Rivera

Lauren A. Rivera's Pedigree explores how elite firms in industries like finance, law, and consulting select candidates from specific universities to ensure they recruit the "best" talent. These firms create two tiers of schools: core schools and target schools.

- Core schools are typically three to five highly prestigious institutions from which firms source the majority of their new hires. These firms heavily invest in recruitment activities on these campuses, such as hosting information sessions, cocktail receptions, and extensive interview processes.

- Target schools are additional institutions (five to fifteen) where firms recruit on a smaller scale. While core schools are the main focus, target schools receive fewer interview slots and job offers.

The selection of these schools is primarily based on perceived PRESTIGE and the REPUTATION of the institutions. (if you've missed the opportunity to get admission to these schools, you're chance to get to top firms drops a lot irrespective of your grades/GPA )

Kayla, a recruitment director, summarised the strategy this way:

"It’s totally **anecdotal**. (She laughs.) I think it’s based upon—and it probably lags in terms of time and updating—but it’s based upon a kind of understanding of how selective the school was in terms of admitting students and how challenging is the work. So it’s largely just kind of school reputation and conventional wisdom, for better or worse."

Often, this perception is shaped by the firm's decision-makers, many of whom are alumni of these prestigious schools. However, the inclusion of some schools on these lists can also be influenced by internal advocates, particularly if a senior employee or partner is an alum of a less prestigious school. This connection can lead to the school being added to the firm's recruitment list, sometimes even maintaining its place long after the original advocate has left the firm.

2/NImage
Read 29 tweets
Truth Signal Profile picture
Jun 24, 2024
Young folks has to learn about science, capitalism, civilisation and history.

Modern western science (based on experiments/hypothesis testing/double-blind trials etc.) always has been flourished through the help of Industry/Capitalism. Science, being a slave to capitalism, has no claim to any higher moral ground !

And why would someone need such a moral ground or qualitative judgement, as opposed to blindly depending on bunch of scientific experiments or controlled trials ?

A: Science has a reproducibility problem and often has tendency to conclude a test/study under limited amount of variables or ignoring adjustments of confounding variances, to reduce the time and cost to run the test.

“Science is endangered by statistical misunderstanding, and by senior people who impose perverse incentives on scientists.”

royalsocietypublishing.org/doi/10.1098/rs…

Then there are questions to quality of data or an effort to fit to the narrative of the capital provider.

Objective of Nature and natural distributed, complex systems is not anchored on providing some sociopathic investors/VCs 20x ROI.

As the foundational incentive of Science (individual scientists may have other incentive such as curiosity etc.) as a whole is to provide ROI to the one who funded the test - be it Gov or Venture Capitalists, truth often remain elusive.

In my 18Y of STEM career, what I understood is that, often science arrives to a conclusion purely driven by ROI/Budget or Utility, rolls out policy or product based on that limited utilitarian view, only to discover non-linear effects longitudinally over time, for which another entrepreneur/capitalist would propose another solution. Repeat.

Even more important is the fact that foundation of money is broken (fiat system). As the foundation of value exchange is broken, all higher-level policy decisions or strategic initiatives are expected to broken too.

Most of the Science (as a whole, not individual scientists) is currently enslaved by current dysfunctional version of capitalism, which only cares about “infinite growth” in a finite planet, more consumption and more waste. GDP-maximalism w/ fiat, literally depends on this assumption. And look GDP-maximalism has done to us. Thread attached.

The entire Keynesian Economics is based on Govt borrowing to death and consumers consuming to death, till demographic dividend runs out.

I expect a whole lot of scientists/scientifically-minded people to disengage of industrialised/corporatised science as it exists today, only to take a apparently-regressive view of “Going back to Nature” while practising real Science.

GDP-maximalism, driven by modern Science and Economics 🧵/Image
@_david_ho_ This is the situation of Corporatised Science driven purely for ROI

It’s actually more dangerous to depend on “$cience” than actual Science.
Entrepreneurs: “leopard snake venom looks profitable”

$cientists: “We’ve done double-blind clinical control trials on leopard snake venom. Primary endpoint as a vitality-enhancer is a success. Secondary endpoint, as anti-ageing agent with no short-term toxicity, it looks promising”

Science magazine: “Aphrodisiac finally is here”

Government: “We are regulating it, low-dose leopard snake venom, patented by Transhuman Therapeutics ($TRNST), - ViraliltyMax100 is available now through prescription”

Influencer: “Wow, this is the aphrodisiac, anti-ageing. This stuff is amazing. I take 2x morning and evening and I’m glowing”

Public: “Wow”. $100M worth of ViralityMax100 sold within a year.

Conspiracy Theorists: Long-term it may cause cancer and other immune issues.

$TRNST continue to go up.

After 5Y, lots of long-term side-effects “slowly” surfaced. By now, ViralityMax100 is one of the top-selling prescription medicines, pushing market cap of $TRSNT to $10B

Government: “We were not made aware of long-term side effects by the company. To take action and upheld democracy, we are charging a penalty of $300M to the company, and restricting the usage of the drug for ‘rare situations’”

Entrepreneurs: “I’ve a solution to the mess created by $TRSNT.”
Read 8 tweets

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