Recent well liked threads
Brazil has the same sort of New Left police state as most of Western Europe or Canada, only you also have to live in Brazil. Based LatinX: not real. 
Ketu Dasha is not a punishment.
It is a 𝗿𝗲𝗰𝗸𝗼𝗻𝗶𝗻𝗴. Most people fight it. Most people lose.
10 things you must NEVER DO in Ketu Dasha or Antardasha 👇
( 6th one helped me alot )
This thread could save you years of suffering 🧵
It is a 𝗿𝗲𝗰𝗸𝗼𝗻𝗶𝗻𝗴. Most people fight it. Most people lose.
10 things you must NEVER DO in Ketu Dasha or Antardasha 👇
( 6th one helped me alot )
This thread could save you years of suffering 🧵
First.. what Ketu actually does.
𝗡𝗼 𝗵𝗲𝗮𝗱. 𝗡𝗼 𝗯𝗼𝗱𝘆. 𝗡𝗼 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻.
He burns what you are attached to.
Phaladeepika:
Ketu causes wounds, imprisonment, and loss.. but also 𝗺𝗼𝗸𝘀𝗵𝗮.
He is not here to reward you. He is here to free you.
𝗡𝗼 𝗵𝗲𝗮𝗱. 𝗡𝗼 𝗯𝗼𝗱𝘆. 𝗡𝗼 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻.
He burns what you are attached to.
Phaladeepika:
Ketu causes wounds, imprisonment, and loss.. but also 𝗺𝗼𝗸𝘀𝗵𝗮.
He is not here to reward you. He is here to free you.
𝗞𝗲𝘁𝘂 𝗠𝗮𝗵𝗮𝗱𝗮𝘀𝗵𝗮 = 𝟳 𝘆𝗿𝘀. Not all equal.
Sequence:
Ketu → Venus → Sun → Moon → Mars → Rahu → Jupiter → Saturn → Mercury
𝗪𝗼𝗿𝘀𝘁: 𝗞𝗲𝘁𝘂–𝗩𝗲𝗻𝘂𝘀
Ketu is Venus's harshest enemy.
Every comfort becomes a trap.
𝗕𝗲𝘀𝘁: 𝗞𝗲𝘁𝘂–𝗝𝘂𝗽𝗶𝘁𝗲𝗿
Wisdom, clarity, dharmic direction.
Sequence:
Ketu → Venus → Sun → Moon → Mars → Rahu → Jupiter → Saturn → Mercury
𝗪𝗼𝗿𝘀𝘁: 𝗞𝗲𝘁𝘂–𝗩𝗲𝗻𝘂𝘀
Ketu is Venus's harshest enemy.
Every comfort becomes a trap.
𝗕𝗲𝘀𝘁: 𝗞𝗲𝘁𝘂–𝗝𝘂𝗽𝗶𝘁𝗲𝗿
Wisdom, clarity, dharmic direction.
#aftersunset
#radicalacceptance #narcissticabusesurvivor #eracdictatepests #crimsonred #scarlettletter #lit
lumy ril kreatifitas anak bangsa =__=
📢 ¿Tienes facturas impagadas y quieres recuperar el IVA?
¡Aquí te explico cómo lograrlo! 🧵👇
¡Aquí te explico cómo lograrlo! 🧵👇
1️⃣ ¿Por qué puedes recuperar el IVA?
Aunque no cobres una factura, debes ingresar el IVA.
Pero si el cliente no paga, existe un proceso para recuperarlo siguiendo los plazos de la Ley de IVA (art. 80). 🚨
Aunque no cobres una factura, debes ingresar el IVA.
Pero si el cliente no paga, existe un proceso para recuperarlo siguiendo los plazos de la Ley de IVA (art. 80). 🚨
2️⃣ Condiciones 🔎
-Debe pasar 1 año desde la fecha de la factura antes de iniciar el proceso.
-Tienes 6 meses después de este año para gestionar la recuperación.
-El cliente debe ser profesional/empresa o, si es particular, que la factura sea >300€ sin IVA.
-Debe pasar 1 año desde la fecha de la factura antes de iniciar el proceso.
-Tienes 6 meses después de este año para gestionar la recuperación.
-El cliente debe ser profesional/empresa o, si es particular, que la factura sea >300€ sin IVA.
Stop telling Claude, "do this."
Stop telling Claude, "write code."
Stop telling Claude, "fix this error."
You're actually treating a senior AI like a junior intern.
Here are 8 prompts you can copy and paste directly:
Stop telling Claude, "write code."
Stop telling Claude, "fix this error."
You're actually treating a senior AI like a junior intern.
Here are 8 prompts you can copy and paste directly:
1. Complete application from scratch.
Think like a senior full-stack engineer developing a complete, production-ready application.
First, design the system architecture and then develop the minimal but scalable version.
The result should include:
• Architecture
• File structure
• Database schema
• API endpoints
• UI architecture
• Complete code.
Design it like a real startup MVP and make it scalable.
Think like a senior full-stack engineer developing a complete, production-ready application.
First, design the system architecture and then develop the minimal but scalable version.
The result should include:
• Architecture
• File structure
• Database schema
• API endpoints
• UI architecture
• Complete code.
Design it like a real startup MVP and make it scalable.
2. Codebase understanding and refactoring
Think like a senior engineer who just joined a large, unfamiliar codebase. First, understand the architecture and data flow.
Then identify:
• Structural problems
• Duplicated code
• Performance bottlenecks
• Maintainability risks
Result:
• Architecture summary
• Problem areas
• Refactoring strategies
• Improved code
Functionality remains unchanged, quality is enhanced
Think like a senior engineer who just joined a large, unfamiliar codebase. First, understand the architecture and data flow.
Then identify:
• Structural problems
• Duplicated code
• Performance bottlenecks
• Maintainability risks
Result:
• Architecture summary
• Problem areas
• Refactoring strategies
• Improved code
Functionality remains unchanged, quality is enhanced
CHILLING 🤯
1966: A scientist discovered Earth's "kill switch."
His research revealed:
- Civilization resets
- Extinction data
- Next Earth reset
Then CIA seized it all.
But a 57-page declassified document from 2013 reveals why they're terrified: 🧵
1966: A scientist discovered Earth's "kill switch."
His research revealed:
- Civilization resets
- Extinction data
- Next Earth reset
Then CIA seized it all.
But a 57-page declassified document from 2013 reveals why they're terrified: 🧵
This is about "The Adam & Eve Story"
The most dangerous book ever classified.
• Why did the CIA bury it?
• What did Dr. Thomas Chan discover?
• Why did the CIA release only 57 pages in 2013?
• Why is it relevant now?
Let's dig in:
The most dangerous book ever classified.
• Why did the CIA bury it?
• What did Dr. Thomas Chan discover?
• Why did the CIA release only 57 pages in 2013?
• Why is it relevant now?
Let's dig in:
Meet Dr. Chan Thomas.
He wasn’t a conspiracy theorist.
He was:
• Electrical engineer at Bell Aircraft
• Designer of RASCAL missile system
• Lead engineer on A4D Skyhawk
• Member of McDonnell Douglas' classified "Advanced Concepts" team
Think that's enough?
There's more.
He wasn’t a conspiracy theorist.
He was:
• Electrical engineer at Bell Aircraft
• Designer of RASCAL missile system
• Lead engineer on A4D Skyhawk
• Member of McDonnell Douglas' classified "Advanced Concepts" team
Think that's enough?
There's more.
Who's to blame for boring architecture?
Politics and architecture don't map onto one another very well; trying to understand what leads to good architecture through political "isms" doesn't really get us anywhere.
While the USSR was building a baroque metro system, the USA was building modernist skyscrapers:
While the USSR was building a baroque metro system, the USA was building modernist skyscrapers:
So the architecture debate is very strange, because opposing "sides" feel obliged to defend things that don't match their other views.
Some people want more "traditional" architecture, and others defend "modern" architecture.
These are, broadly speaking, the supposed "sides".
Some people want more "traditional" architecture, and others defend "modern" architecture.
These are, broadly speaking, the supposed "sides".
All evidence suggests that Ukraine has advanced further than any map currently depicts north of Lyman. Russians say Ukraine has captured towns and other areas that were once firmly held are now contested. I try to keep my map to only verified facts so I am far more conservative.
Russians claim Ukraine has pushed up like this.
And I suppose if you wanted to go full on maximalist, based upon the claims I have seen, it might be more like this.
1/ You can shrink a language model's KV cache by 200×, in a single forward pass, and it still answers correctly.
At 256k context that's 36 GiB of cache down to ~360 MiB, with no change to the base model.
Here's how we did it 👇
At 256k context that's 36 GiB of cache down to ~360 MiB, with no change to the base model.
Here's how we did it 👇
2/ The KV cache is the wall everyone hits with long-horizon LLMs eg multi-day agents, repo-scale reasoning, long tool chains. It grows linearly with context and you can't get around it.
So far you've had two bad options
So far you've had two bad options
3/ Option A — selection: throw away tokens. Cheap, but your compact cache can only ever be a subset of the original.
Option B — synthesis: build new compact entries. Expressive, but you re-run an optimization for every single context.
We wanted both a la cheap and expressive.
Option B — synthesis: build new compact entries. Expressive, but you re-run an optimization for every single context.
We wanted both a la cheap and expressive.
GOODBYE, FUND MANAGERS. GOODBYE, BLOOMBERG TERMINAL.
No more $24,000/year subscriptions.
Claude just turned my laptop into a private quant analyst.
Here are 07 prompts to build your own hedge fund at home ↓
No more $24,000/year subscriptions.
Claude just turned my laptop into a private quant analyst.
Here are 07 prompts to build your own hedge fund at home ↓
1. Portfolio Hedging Strategy
Prompt:
“My portfolio is exposed to [SECTOR/MARKET]. Using current options data and available inverse ETFs, design an efficient hedge: recommended instrument, hedge size (% of portfolio), annualized cost, scenario to activate it, and sources for volatility data.”
Prompt:
“My portfolio is exposed to [SECTOR/MARKET]. Using current options data and available inverse ETFs, design an efficient hedge: recommended instrument, hedge size (% of portfolio), annualized cost, scenario to activate it, and sources for volatility data.”
2. Institutional Positioning Analysis
Prompt:
“Using recent 13F data (WhaleWisdom, Dataroma) and news, tell me which sectors/stocks the top 10 hedge funds are accumulating this quarter vs. the previous quarter. Present new entries, full exits, and increased positions, including the fund name and sources.”
Prompt:
“Using recent 13F data (WhaleWisdom, Dataroma) and news, tell me which sectors/stocks the top 10 hedge funds are accumulating this quarter vs. the previous quarter. Present new entries, full exits, and increased positions, including the fund name and sources.”
Mike Babcock’s Allegations, a thread🧵
With reports Edmonton wants to hire Mike Babcock as head coach, and the NHLPA pushing the NHL for an investigation into his 2023 Columbus resignation, here’s a detailed public record of player and staff accounts across his career. 1/
With reports Edmonton wants to hire Mike Babcock as head coach, and the NHLPA pushing the NHL for an investigation into his 2023 Columbus resignation, here’s a detailed public record of player and staff accounts across his career. 1/
These stories often emerged after leaving teams as Babcock’s power and influence in the NHL was/is vast. Babcock described many as misrepresentations or old-school coaching. He had major success but faced repeated criticism for psychological tactics and public humiliation. 2/
Pre-NHL (1988–2002): Red Deer College, Moose Jaw Warriors (WHL), University of Lethbridge, Spokane Chiefs. No major public allegations surfaced. He built a reputation as a consistent winner with strong records. 3/
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
1/ The death spiral in one chart.
Generation 1: the model produces text that sounds human.
Generation 3: the output starts repeating itself.
Generation 5: rare words disappear entirely.
Generation 9: the model produces nonsense.
Each generation trained on the previous generation's output. Each generation lost more. The researchers watched it happen in real time.
Generation 1: the model produces text that sounds human.
Generation 3: the output starts repeating itself.
Generation 5: rare words disappear entirely.
Generation 9: the model produces nonsense.
Each generation trained on the previous generation's output. Each generation lost more. The researchers watched it happen in real time.
2/ The tails die first.
The researchers plotted what each generation of AI remembers about the original data.
Generation 1: the full distribution. Every rare idea. Every unusual perspective.
Generation 5: the edges are gone. Only the middle remains.
Generation 9: a single narrow spike. One voice. One style. One version of reality.
The weird, creative, unexpected parts of human writing are the first things Model Collapse erases.
The researchers plotted what each generation of AI remembers about the original data.
Generation 1: the full distribution. Every rare idea. Every unusual perspective.
Generation 5: the edges are gone. Only the middle remains.
Generation 9: a single narrow spike. One voice. One style. One version of reality.
The weird, creative, unexpected parts of human writing are the first things Model Collapse erases.
QUAEST: AGENIAL PESQUISA QUE UM BANCO COMPROU
Entre os dias 5 e 8 de junho, entrevistadores bateram em 2.004 portas de 120 municípios brasileiros. Fizeram 106 perguntas dentro de cada casa. Sobre voto, sobre o governo, sobre imposto de renda, sobre o Banco Master, sobre Trump, sobre facções, sobre Pix, sobre bets.
Quem pagou a conta foi um banco. R$ 433.255,92, nota fiscal número 353, contratante Banco Genial. Dá R$ 216 por porta batida. No dia 10, o país recebeu a manchete: Lula 39, Flávio 29. Ponto final, eleição encerrada, podem ir para casa. Eu não fui para casa. Fui ler o registro no TSE, a pesquisa BR-07661/2026, assinada pela estatística Margarida Maria de Mendonça, CONRE 6731.
Fui ler o questionário inteiro, as 106 perguntas, uma por uma. Cruzei a amostra com o TSE e com a PNAD, refiz a margem de erro com o desenho amostral real, reponderei a renda, montei o balanço de transferência do segundo turno.
E descobri duas coisas.
Primeira: a Quaest fez o melhor trabalho de campo do ciclo, e vou dizer isso com todas as letras.
Segunda: as perguntas mais explosivas do questionário, se Bolsonaro deveria trocar Flávio e o que acontece se Trump o apoiar, foram feitas, registradas, pagas. E nunca publicadas.
Alguém sabe essas respostas. Você não.
Siga o fio!
Entre os dias 5 e 8 de junho, entrevistadores bateram em 2.004 portas de 120 municípios brasileiros. Fizeram 106 perguntas dentro de cada casa. Sobre voto, sobre o governo, sobre imposto de renda, sobre o Banco Master, sobre Trump, sobre facções, sobre Pix, sobre bets.
Quem pagou a conta foi um banco. R$ 433.255,92, nota fiscal número 353, contratante Banco Genial. Dá R$ 216 por porta batida. No dia 10, o país recebeu a manchete: Lula 39, Flávio 29. Ponto final, eleição encerrada, podem ir para casa. Eu não fui para casa. Fui ler o registro no TSE, a pesquisa BR-07661/2026, assinada pela estatística Margarida Maria de Mendonça, CONRE 6731.
Fui ler o questionário inteiro, as 106 perguntas, uma por uma. Cruzei a amostra com o TSE e com a PNAD, refiz a margem de erro com o desenho amostral real, reponderei a renda, montei o balanço de transferência do segundo turno.
E descobri duas coisas.
Primeira: a Quaest fez o melhor trabalho de campo do ciclo, e vou dizer isso com todas as letras.
Segunda: as perguntas mais explosivas do questionário, se Bolsonaro deveria trocar Flávio e o que acontece se Trump o apoiar, foram feitas, registradas, pagas. E nunca publicadas.
Alguém sabe essas respostas. Você não.
Siga o fio!
CRÉDITO ONDE É DEVIDO
Primeiro, o elogio. E ele é sincero, porque auditoria que só desce o porrete não é auditoria, é militância com planilha.
O campo da Quaest é o melhor que eu vi neste ciclo, e olha que já dissequei Datafolha e AtlasIntel. Datafolha aborda gente em ponto de fluxo, na rua, na pressa. Atlas recruta pela internet. A Quaest fez o que manual manda e quase ninguém paga para fazer: sorteou municípios por probabilidade proporcional ao tamanho, sorteou setores censitários dentro deles, bateu na porta do domicílio, gravou áudio, conferiu 30% das entrevistas por gravação e checou georreferenciamento. É a diferença entre fotografar a rua, fotografar a internet e entrar na casa do eleitor.
E o resultado aparece. Cruzei a amostra com o cadastro do TSE de maio de 2026, eleitorado real, excluído o exterior: mulheres 53,0 na Quaest contra 52,8 no TSE. Jovens de 16 a 34: 31,0 contra 31,4. Idosos: 23,0 contra 23,3. Escolaridade contra a PNADC trimestral: 41/40/19 contra 41,1/39,6/19,3. Quase ao decimal, em todas as linhas.
Isso não acontece por sorte. Acontece quando alguém faz o trabalho.
E é exatamente por isso que o que vem a seguir nesta thread é grave. Quem acerta o decimal na demografia não erra por descuido no resto. Erra por escolha.
Primeiro, o elogio. E ele é sincero, porque auditoria que só desce o porrete não é auditoria, é militância com planilha.
O campo da Quaest é o melhor que eu vi neste ciclo, e olha que já dissequei Datafolha e AtlasIntel. Datafolha aborda gente em ponto de fluxo, na rua, na pressa. Atlas recruta pela internet. A Quaest fez o que manual manda e quase ninguém paga para fazer: sorteou municípios por probabilidade proporcional ao tamanho, sorteou setores censitários dentro deles, bateu na porta do domicílio, gravou áudio, conferiu 30% das entrevistas por gravação e checou georreferenciamento. É a diferença entre fotografar a rua, fotografar a internet e entrar na casa do eleitor.
E o resultado aparece. Cruzei a amostra com o cadastro do TSE de maio de 2026, eleitorado real, excluído o exterior: mulheres 53,0 na Quaest contra 52,8 no TSE. Jovens de 16 a 34: 31,0 contra 31,4. Idosos: 23,0 contra 23,3. Escolaridade contra a PNADC trimestral: 41/40/19 contra 41,1/39,6/19,3. Quase ao decimal, em todas as linhas.
Isso não acontece por sorte. Acontece quando alguém faz o trabalho.
E é exatamente por isso que o que vem a seguir nesta thread é grave. Quem acerta o decimal na demografia não erra por descuido no resto. Erra por escolha.
O que a pesquisa mediu, antes de qualquer interpretação minha.
Primeiro turno estimulado, com a lista de nomes na mão do entrevistador: Lula 39, Flávio Bolsonaro 29. Segundo turno simulado: Lula 44, Flávio 38. Até aqui, a manchete que você leu.
Agora o número que a manchete pulou. Na pergunta espontânea, a Q8 do questionário, quando o entrevistador cala a boca e o eleitor responde sem ver lista nenhuma, Lula tem 23, Flávio tem 17.
E 56% não sabem em quem votar.
Cinquenta e seis por cento. Mais da metade do país ainda não decidiu a eleição que o noticiário já deu por decidida quatro meses antes do primeiro turno.
E tem mais fundo nesse retrato. O mesmo levantamento mostra o governo com 47 de aprovação contra 48 de desaprovação e avaliação negativa de 38 superando a positiva de 34. Ou seja: um presidente eleitoralmente forte sentado sobre um governo socialmente reprovado. Historicamente, essa combinação não envelhece bem.
A fotografia é legítima, o campo foi bem feito, os números são esses. Minha briga não é com a foto. É com a moldura, com a legenda e, principalmente, com as partes da foto que cortaram antes de mostrar para você. Vamos a elas.
Primeiro turno estimulado, com a lista de nomes na mão do entrevistador: Lula 39, Flávio Bolsonaro 29. Segundo turno simulado: Lula 44, Flávio 38. Até aqui, a manchete que você leu.
Agora o número que a manchete pulou. Na pergunta espontânea, a Q8 do questionário, quando o entrevistador cala a boca e o eleitor responde sem ver lista nenhuma, Lula tem 23, Flávio tem 17.
E 56% não sabem em quem votar.
Cinquenta e seis por cento. Mais da metade do país ainda não decidiu a eleição que o noticiário já deu por decidida quatro meses antes do primeiro turno.
E tem mais fundo nesse retrato. O mesmo levantamento mostra o governo com 47 de aprovação contra 48 de desaprovação e avaliação negativa de 38 superando a positiva de 34. Ou seja: um presidente eleitoralmente forte sentado sobre um governo socialmente reprovado. Historicamente, essa combinação não envelhece bem.
A fotografia é legítima, o campo foi bem feito, os números são esses. Minha briga não é com a foto. É com a moldura, com a legenda e, principalmente, com as partes da foto que cortaram antes de mostrar para você. Vamos a elas.
Gracias a Policía Nacional y Mossos de Esquadra, ayer se evitó el mayor de los ridículos y despropósitos internacionales en el acto de la Sagrada Familia, delante del Papa y del Rey, y de más de 500 medios internacionales.
Se quiso boicotear el acto con esto 🔽🔽 Os cuento.
Se quiso boicotear el acto con esto 🔽🔽 Os cuento.
1. Justo antes de empezar la Eucaristía, en uno de los ensayos, "alguien" reparte esa partitura falsa a todos los miembros del coro (unas 600 personas). Es una partitura que lleva una estelada impresa en el reverso.
2. Como podéis leer, les dan siguientes indicaciones:
2. Como podéis leer, les dan siguientes indicaciones:
- Desplegar las esteladas al cantar El Virolai, luego entonar Els Segadors, y finalmente dar gritos de independencia. Eso sí, especifica "los que queráis".
3. Gracias a Dios y a que son bastante tontos, no cayeron en la cuenta de que entre 600 personas, por estadística...
3. Gracias a Dios y a que son bastante tontos, no cayeron en la cuenta de que entre 600 personas, por estadística...
- Miksi mRNA -rokotefiaskon selvitys on niin takkuista; miksi sitä estävät valtavat voimat ..?
Uskoakseni tässä iso osa vastausta 👇
'Varokaa mRNA- rokotteiden tuotekehitysputkea'
Ottoja loistavasta artikkelista - 🧵
Uskoakseni tässä iso osa vastausta 👇
'Varokaa mRNA- rokotteiden tuotekehitysputkea'
Ottoja loistavasta artikkelista - 🧵
3/
Artikkelista:
".. Monien aktivistien suureksi pettymykseksi, jotka olivat jollain tasolla mukana Make America Healthy Again (MAHA) -liikkeessä .. terveys- ja sosiaaliministeri Robert F. Kennedy Jr. allekirjoitti äskettäin kohdennetun PREP- ACT -lain mukaisen julistuksen, joka antaa liittovaltion hallitukselle mahdollisuuden tukea lääketieteellisten vastatoimenpiteiden kehittämistä ja käyttöönottoa. .."
Artikkelista:
".. Monien aktivistien suureksi pettymykseksi, jotka olivat jollain tasolla mukana Make America Healthy Again (MAHA) -liikkeessä .. terveys- ja sosiaaliministeri Robert F. Kennedy Jr. allekirjoitti äskettäin kohdennetun PREP- ACT -lain mukaisen julistuksen, joka antaa liittovaltion hallitukselle mahdollisuuden tukea lääketieteellisten vastatoimenpiteiden kehittämistä ja käyttöönottoa. .."
Чоловіча депресія - це скучно, але є одна крута культуральна причина, що притаманна лише чоловікам
Для чоловіків недоступне відчуття, що його люблять\хочуть просто так
(майже ніколи, крихітні виключення)
З цим як з самим собою зрозумілим живе більшість
Два твіта про це:
Для чоловіків недоступне відчуття, що його люблять\хочуть просто так
(майже ніколи, крихітні виключення)
З цим як з самим собою зрозумілим живе більшість
Два твіта про це:
Є одна така феміністська письменниця bell hooks, пише:
«Піклуватися про чоловіків через те, що вони роблять для нас це не те саме, що любити чоловіків просто за те, що вони є.
Коли ми любимо чоловіче начало, ми поширюємо свою любов незалежно від того, чи виконують чоловіки свої ролі, чи ні.
Діяльність відрізняється від простого буття.
У патріархальній культурі чоловікам не дозволяється просто бути тими, ким вони є, і насолоджуватися своєю унікальною ідентичністю.
Їхня цінність завжди визначається тим, що вони роблять.»
Шарить, так?
Це так просто, але кажу вам, більшість чоловіків і уявити не може як це - просто за те, що ти є.
Це поза межами можливостей, поза досвідом.
Жіноче тіло має іманентну цінність, бо воно здатне давати життя.
Це біологічно й культурно закодовано.
Чоловіче тіло - це інструмент.
Воно цінне, поки працює, поки захищає, поки виробляє.
Чоловік живе у своєму тілі як у робочому обладнанні, а не як у домі.
Хвороби, старіння, зниження продуктивності переживаються не просто як фізичний спад, а як екзистенційна загроза -Якщо я не можу виробляти, я взагалі що таке і кому потрібен
останній -
«Піклуватися про чоловіків через те, що вони роблять для нас це не те саме, що любити чоловіків просто за те, що вони є.
Коли ми любимо чоловіче начало, ми поширюємо свою любов незалежно від того, чи виконують чоловіки свої ролі, чи ні.
Діяльність відрізняється від простого буття.
У патріархальній культурі чоловікам не дозволяється просто бути тими, ким вони є, і насолоджуватися своєю унікальною ідентичністю.
Їхня цінність завжди визначається тим, що вони роблять.»
Шарить, так?
Це так просто, але кажу вам, більшість чоловіків і уявити не може як це - просто за те, що ти є.
Це поза межами можливостей, поза досвідом.
Жіноче тіло має іманентну цінність, бо воно здатне давати життя.
Це біологічно й культурно закодовано.
Чоловіче тіло - це інструмент.
Воно цінне, поки працює, поки захищає, поки виробляє.
Чоловік живе у своєму тілі як у робочому обладнанні, а не як у домі.
Хвороби, старіння, зниження продуктивності переживаються не просто як фізичний спад, а як екзистенційна загроза -Якщо я не можу виробляти, я взагалі що таке і кому потрібен
останній -
Це породжує петлю, вийти з якої супер важко:
1. Чоловік хоче бути коханим просто так але не може це висловити (нормативна чоловіча алекситимія, сором, виховання).
2. Компенсує через виробництво. Більше заробляє, більше робить, більше досягає.
3. Ідентичність зливається з продуктом. Я - те, що я роблю
4. У стосунках він присутній як функція, а не як людина.
5. Партнерка не може любити людину, якої не бачить (і він сам себе не бачить).
6. Чоловік відчуває "мене не люблять" → виробляє ще більше.
7. Коло замкнулося. Бажання бути коханим створює механізм, який знищує саму можливість бути коханим.
Знаєте скільки я такого бачив.
Найпростіше про це пише Віннікот про два стани буття:
True Self - грунтується на відчутті буття, а не діяння. Укорінений у тілі, у спонтанності, у "я є". Коли людина відчуває себе реальною.
False Self - захисна конструкція. Формується, коли оточення (батьки, культура) вимагає відповідності замість прийняття.
Хлопчик отримує любов/схвалення за оцінки, слухняність, досягнення, "бути хорошим". Не за те, що просто існує.
Результат- дорослий чоловік може бути дуже успішним але глибоко всередині життя відчувається порожнім, фальшивим, несправжнім.
Він вміє виробляти.
Не вміє просто бути.
От з цим пожити до 40, подумати, що так буде все життя, а потім старість і звісно логічно купляти гаража і там собі майструвати вузлики.
Абсолютно нормальна логіка, якщо так жити.
1. Чоловік хоче бути коханим просто так але не може це висловити (нормативна чоловіча алекситимія, сором, виховання).
2. Компенсує через виробництво. Більше заробляє, більше робить, більше досягає.
3. Ідентичність зливається з продуктом. Я - те, що я роблю
4. У стосунках він присутній як функція, а не як людина.
5. Партнерка не може любити людину, якої не бачить (і він сам себе не бачить).
6. Чоловік відчуває "мене не люблять" → виробляє ще більше.
7. Коло замкнулося. Бажання бути коханим створює механізм, який знищує саму можливість бути коханим.
Знаєте скільки я такого бачив.
Найпростіше про це пише Віннікот про два стани буття:
True Self - грунтується на відчутті буття, а не діяння. Укорінений у тілі, у спонтанності, у "я є". Коли людина відчуває себе реальною.
False Self - захисна конструкція. Формується, коли оточення (батьки, культура) вимагає відповідності замість прийняття.
Хлопчик отримує любов/схвалення за оцінки, слухняність, досягнення, "бути хорошим". Не за те, що просто існує.
Результат- дорослий чоловік може бути дуже успішним але глибоко всередині життя відчувається порожнім, фальшивим, несправжнім.
Він вміє виробляти.
Не вміє просто бути.
От з цим пожити до 40, подумати, що так буде все життя, а потім старість і звісно логічно купляти гаража і там собі майструвати вузлики.
Абсолютно нормальна логіка, якщо так жити.
@kfurneaux23 @threadreaderapp @IWantADaddyCop2 @ChrisPentecos @Nncim15 @JNonsense46242 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @trustednerd @MalaMoragain13 @felixcruggins @WaxMyBallsShow @FranLa9 @Opiumbrella @grok It's absolutely hilarious how you tell me to get another Hobby @CultureGuard when in fact YOU need to get a new hobby or shall we not talk about you screenshotting everything Jessica says heck or even gathering evidence of everything she does or shall we not about you constantly
@kfurneaux23 @threadreaderapp @IWantADaddyCop2 @ChrisPentecos @Nncim15 @JNonsense46242 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @trustednerd @MalaMoragain13 @felixcruggins @WaxMyBallsShow @FranLa9 @Opiumbrella @grok Going to the police and harassing and abusing them until you get your gawd damn way when in reality YOU are the problem so maybe it's YOU who needs to get another Hobby or you so far up @Nncim15 ass that you can't anymore 🤣🤦♀️🤣🤦♀️🤣🤦♀️🙂
@kfurneaux23 @threadreaderapp @IWantADaddyCop2 @ChrisPentecos @Nncim15 @JNonsense46242 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @trustednerd @MalaMoragain13 @felixcruggins @WaxMyBallsShow @FranLa9 @Opiumbrella @grok @threadreaderapp unroll
It's absolutely hilarious how you tell me to get another Hobby @CultureGuard when in fact YOU need to get a new hobby or shall we not talk about you screenshotting everything Jessica says heck or even gathering evidence of everything she does or shall we not about you constantly
@CultureGuard Going to the police and harassing and abusing them until you get your gawd damn way when in reality YOU are the problem so maybe it's YOU who needs to get another Hobby or you so far up @Nncim15 ass that you can't anymore 🤣🤦♀️🤣🤦♀️🤣🤦♀️🙂
@CultureGuard @Nncim15 @ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella @threadreaderapp unroll
It's absolutely hilarious how you tell me to get another Hobby @CultureGuard when in fact YOU need to get a new hobby or shall we not talk about you screenshotting everything Jessica says heck or even gathering evidence of everything she does or shall we not about you constantly
@CultureGuard Going to the police and harassing and abusing them until you get your gawd damn way when in reality YOU are the problem so maybe it's YOU who needs to get another Hobby or you so far up @Nncim15 ass that you can't anymore 🤣🤦♀️🤣🤦♀️🤣🤦♀️🙂
@CultureGuard @Nncim15 @ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella @threadreaderapp unroll
@roland15413 1 Realitätscheck auf den Bullshit "nazi":
@roland15413 2 Faktencheck zum Bullshit "nazi":
@roland15413 3 Faktencheck zum Bullshit "AfDzerstörtDeutschland" >> dreiste LÜGE: Es sind die Blockparteien, die 🇩🇪 zerstören! BEWIESENERMASSEN:
