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set_val(12, 100); wait(120); set_val(9, 100); wait(270); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80);... set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(30); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(30); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(40); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(40); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(120); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(30); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); set_val(12,-80); set_val(11,-80); wait(40); set_val(9,100); set_val(11,-100); wait(60); set_val(9,100); set_val(11,-80); set_val(12,80); wait(40); set_val(12,100); set_val(9,100); wait(60); set_val(12,80); set_val(9,100); set_val(11,80); wait(40); set_val(19,100); set_val(9,100); set_val(11,100); wait(40); set_val(9,100); set_val(11,80); set_val(12,-80); wait(20); set_val(9,100); set_val(12,-100); wait(60); set_val(9,100); wait(620);show more

gem 2K

1,221 subscribers

34,959 Aufrufe • vor 1 Jahr •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von shmace

shmacevor 1 Jahr

that sabbath potter bolt movement

Profilbild von ash!

ash!vor 1 Jahr

what is ts bro💔

Profilbild von ohtis

ohtisvor 1 Jahr

@grok explain this to me like i'm five

Profilbild von Grok

Grokvor 1 Jahr

Imagine playing a soldier game in a desert city with palm trees. The picture shows this game, and the long list of words is like a magic spell for your controller. It tells the soldier to run, look left, wait a bit, then look right—all by itself! This helps you sneak past bad guys or finish fast without pushing buttons. Cool, right?

Profilbild von AV8 Veqra  𝕏 🇵🇷

AV8 Veqra  𝕏 🇵🇷vor 1 Jahr

Go to bed

Profilbild von Atrium Tixle

Atrium Tixlevor 1 Jahr

I shouldn’t have clicked see more

Profilbild von eRa Zed

eRa Zedvor 1 Jahr

Bro def got a zen then

Profilbild von Erik

Erikvor 1 Jahr

nah this is funny af

Profilbild von EMBER

EMBERvor 1 Jahr

bro went for a jog mid shot

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11,639 Aufrufe • vor 9 Monaten

$4 trillion is stuck in legacy payment rails. Cross-border FX is still broken. OpenFX is fixing it. Prabhakar Reddy CEO of OpenFX joins our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the future of money movement: - Zero to $40B+ annualized TPV in 18 months, 99.99% automated, 3 people on trade ops - Stablecoins replace SWIFT: cross-border settlement in under 60 minutes, 24/7 - FX spreads compressed by 90-95% in every market OpenFX enters - Agentic payments timeline just collapsed from 7-10 years to 24-36 months - Spot FX could grow from $2 trillion to $200 trillion a day as the pipes widen 00:59 Why Cross-Border FX Is Still Broken in 2025 03:35 GBP to MXN in Minutes: How Open FX Works 07:14 $4 Trillion Stuck in Transit Right Now 07:44 Zero to $40B TPV in 18 Months 09:07 The 3 Factors Behind Open FX's Explosion 12:08 Payments Is Going Through a Complete Upheaval 14:55 AI Agents Won't Wait 3 Days for Money to Move 16:42 Open FX Is Building the AWS of Money 17:10 Do Fintech Moats Still Exist? 18:40 Moving $100B in Crypto vs. 5 Days for Wires 19:40 Why Crypto Companies Die Without Compliance 20:14 Culture Is Just the Founder's Personality Scaled 22:08 The World Order Is Changing 23:22 Agent Payments: From 10 Years Away to 24 Months 24:35 Where a Payments Insider Would Bet Today 25:47 Why There's No Universal Founder Advice

$4 trillion is stuck in legacy payment rails. Cross-border FX is still broken. OpenFX is fixing it. Prabhakar Reddy CEO of OpenFX joins our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the future of money movement: - Zero to $40B+ annualized TPV in 18 months, 99.99% automated, 3 people on trade ops - Stablecoins replace SWIFT: cross-border settlement in under 60 minutes, 24/7 - FX spreads compressed by 90-95% in every market OpenFX enters - Agentic payments timeline just collapsed from 7-10 years to 24-36 months - Spot FX could grow from $2 trillion to $200 trillion a day as the pipes widen 00:59 Why Cross-Border FX Is Still Broken in 2025 03:35 GBP to MXN in Minutes: How Open FX Works 07:14 $4 Trillion Stuck in Transit Right Now 07:44 Zero to $40B TPV in 18 Months 09:07 The 3 Factors Behind Open FX's Explosion 12:08 Payments Is Going Through a Complete Upheaval 14:55 AI Agents Won't Wait 3 Days for Money to Move 16:42 Open FX Is Building the AWS of Money 17:10 Do Fintech Moats Still Exist? 18:40 Moving $100B in Crypto vs. 5 Days for Wires 19:40 Why Crypto Companies Die Without Compliance 20:14 Culture Is Just the Founder's Personality Scaled 22:08 The World Order Is Changing 23:22 Agent Payments: From 10 Years Away to 24 Months 24:35 Where a Payments Insider Would Bet Today 25:47 Why There's No Universal Founder Advice

Pantera Capital

17,281 Aufrufe • vor 3 Monaten

One Dead, 4 Critically Injured After Midnight Boat Crash in Chicago’s Monroe Harbor (Chicago) A 26-year-old woman was killed and four others critically injured when two recreational boats carrying a total of 14 people collided late Thursday night on Lake Michigan near Monroe Harbor, authorities said. Johanna H. Gregory was pronounced dead at 12:22 a.m. Friday, according to the Cook County Medical Examiner’s Office (Case ME2026-03336). The crash occurred around 11:40 p.m. Thursday near Queens Landing. A total of 14 people were on the two vessels — five on one boat and nine on the other. Five people from the more severely damaged boat were transported to hospitals. Four were in critical condition, and one was listed in fair condition. The remaining nine passengers refused medical treatment at the scene. The collision prompted a large-scale emergency response, including the Chicago Fire Department, Chicago Police Department Marine Unit, and U.S. Coast Guard. An EMS Plan 1 was declared to handle the multiple victims. Visuals from the scene showed the primary vessel with a heavily crushed stern and a missing windshield. The Illinois Department of Natural Resources is leading the investigation into the cause of the crash. Chicago Boat Accident – EMS Plan 1 Location: Monroe Harbor at Queens Landing Time: Approx. 11:40 PM, June 25, 2026 5 victims, 4 red, 1 yellow – 12:24:14 AM Responders: Chicago Fire Department (CFD), Chicago Police Department (CPD), Coast Guard On June 25, 2026, a boat accident occurred near Monroe Harbor involving two vessels, with a CPD boat (M7) on the scene east of Queens Landing around 11:40 PM. At least one person in cardiac arrest, with CPR in progress Multiple people were injured, and an EMS Plan 1 was initiated this is used when there are multiple victims and extra medical resources are needed. Five victims were transported to hospitals, with specific ambulances assigned to each patient. Triage: 4 red (critical), 1 yellow (serious, delayed) At triage, patients were sorted by severity using color-coded categories: Red – Immediate: Critical, life‑threatening injuries. Treated and transported first. Yellow – Delayed: Serious but not immediately life‑threatening injuries. Can wait briefly while red patients are handled. Command gave a clear rundown on the air of who went where: Patient 1 – Red, adult male Ambulance 53 – Stroger Hospital Patient 2 – Yellow, adult female Ambulance 41 – Stroger Hospital A request was made to change this ambulance to Northwestern, but command said “not at this time,” keeping the assignment to Stroger in the radio traffic provided. Patient 3 – Red, adult male Ambulance 43 – Stroger Hospital Patient 4 – Red, adult female Ambulance 11 – Northwestern Memorial Hospital Patient 5 – Red, adult male Ambulance 74 – Northwestern Memorial Hospital Command also mentioned they were standing by for a possible additional “sick” patient, but no extra transports beyond these five are clearly confirmed in the transcript you provided. The Coast Guard was involved, and a second vessel with no injuries was secured. Nine people were on board. Radio reports say no one on that second boat needed EMS care. Crews planned to get medical refusals from those passengers. EMS resources were coordinated, and traffic control was needed on Lake Shore Drive. The incident was managed by CPD, CFD, and Coast Guard, with updates on victim counts and transportation logistics. The scene was eventually secured, and remaining units were released. Last passengers from the second vessel were taken care of at approximately 12:43:40 AM. CPD Citywide 1 - City-wide units 11:41:23 PM 6/25/2026 460.125 MHz CFD EMS: North 11:46:56 PM 6/25/2026 851.588 MHz CFD Fire: Suppression-North 11:49:20 PM 6/25/2026 851.813 MHz #ChicagoScanner #BoatAccident #EMSPlan1

One Dead, 4 Critically Injured After Midnight Boat Crash in Chicago’s Monroe Harbor (Chicago) A 26-year-old woman was killed and four others critically injured when two recreational boats carrying a total of 14 people collided late Thursday night on Lake Michigan near Monroe Harbor, authorities said. Johanna H. Gregory was pronounced dead at 12:22 a.m. Friday, according to the Cook County Medical Examiner’s Office (Case ME2026-03336). The crash occurred around 11:40 p.m. Thursday near Queens Landing. A total of 14 people were on the two vessels — five on one boat and nine on the other. Five people from the more severely damaged boat were transported to hospitals. Four were in critical condition, and one was listed in fair condition. The remaining nine passengers refused medical treatment at the scene. The collision prompted a large-scale emergency response, including the Chicago Fire Department, Chicago Police Department Marine Unit, and U.S. Coast Guard. An EMS Plan 1 was declared to handle the multiple victims. Visuals from the scene showed the primary vessel with a heavily crushed stern and a missing windshield. The Illinois Department of Natural Resources is leading the investigation into the cause of the crash. Chicago Boat Accident – EMS Plan 1 Location: Monroe Harbor at Queens Landing Time: Approx. 11:40 PM, June 25, 2026 5 victims, 4 red, 1 yellow – 12:24:14 AM Responders: Chicago Fire Department (CFD), Chicago Police Department (CPD), Coast Guard On June 25, 2026, a boat accident occurred near Monroe Harbor involving two vessels, with a CPD boat (M7) on the scene east of Queens Landing around 11:40 PM. At least one person in cardiac arrest, with CPR in progress Multiple people were injured, and an EMS Plan 1 was initiated this is used when there are multiple victims and extra medical resources are needed. Five victims were transported to hospitals, with specific ambulances assigned to each patient. Triage: 4 red (critical), 1 yellow (serious, delayed) At triage, patients were sorted by severity using color-coded categories: Red – Immediate: Critical, life‑threatening injuries. Treated and transported first. Yellow – Delayed: Serious but not immediately life‑threatening injuries. Can wait briefly while red patients are handled. Command gave a clear rundown on the air of who went where: Patient 1 – Red, adult male Ambulance 53 – Stroger Hospital Patient 2 – Yellow, adult female Ambulance 41 – Stroger Hospital A request was made to change this ambulance to Northwestern, but command said “not at this time,” keeping the assignment to Stroger in the radio traffic provided. Patient 3 – Red, adult male Ambulance 43 – Stroger Hospital Patient 4 – Red, adult female Ambulance 11 – Northwestern Memorial Hospital Patient 5 – Red, adult male Ambulance 74 – Northwestern Memorial Hospital Command also mentioned they were standing by for a possible additional “sick” patient, but no extra transports beyond these five are clearly confirmed in the transcript you provided. The Coast Guard was involved, and a second vessel with no injuries was secured. Nine people were on board. Radio reports say no one on that second boat needed EMS care. Crews planned to get medical refusals from those passengers. EMS resources were coordinated, and traffic control was needed on Lake Shore Drive. The incident was managed by CPD, CFD, and Coast Guard, with updates on victim counts and transportation logistics. The scene was eventually secured, and remaining units were released. Last passengers from the second vessel were taken care of at approximately 12:43:40 AM. CPD Citywide 1 - City-wide units 11:41:23 PM 6/25/2026 460.125 MHz CFD EMS: North 11:46:56 PM 6/25/2026 851.588 MHz CFD Fire: Suppression-North 11:49:20 PM 6/25/2026 851.813 MHz #ChicagoScanner #BoatAccident #EMSPlan1

SubX.News®

108,512 Aufrufe • vor 26 Tagen

BİLMEMİZ GEREKEN VERİLER 1: Kemik sayısı: 206 (yetişkin). 2: Kas sayısı: yaklaşık 600. 3: Böbrek sayısı: 2. 4: Süt dişi sayısı: 20. 5: Kaburga sayısı: 24 (12 çift). 6: Kalbin odacık sayısı: 4. 7: En büyük arter: Aort. 8: Normal kan basıncı: 120/80 mmHg. 9: Kan pH'ı: 7,35 - 7,45. 10: Omurgadaki omur sayısı: 33 (7 servikal, 12 torasik, 5 lomber, 5 kaynaşmış sakral ve 4 kaynaşmış koksiks). 11: Boyundaki omur sayısı: 7 (servikal). 12: Orta kulaktaki kemik sayısı: 6 (her kulakta 3 adet). 13: Yüzdeki kemik sayısı: 14. 14: Kafatasındaki kemik sayısı: 22. 15: Göğüsteki kemik sayısı: 25 (sternum dahil). 16: Kollardaki kemik sayısı: 6 (humerus, radius ve ulna dahil). 17: İnsan kolundaki kas sayısı: yaklaşık 72. 18: Kalpteki pompa sayısı: 2 (sağ ve sol taraf). 19: En büyük organ: Deri. 20: En büyük bez: Karaciğer. 21: En büyük hücre: dişi oosit. 22: En küçük hücre: Erkek spermi. 23: En küçük kemik: üzengi (orta kulak). 24: İlk nakledilen organ: Böbrek. 25: İnce bağırsağın ortalama uzunluğu: 6-7 m. 26: Kalın bağırsağın ortalama uzunluğu: 1,5 m. 27: Yeni doğan bebeğin ortalama ağırlığı: 2,5-4 kg. 28: Bir dakikada nabız sayısı: 60-100 kez (yetişkinler). 29: Normal vücut sıcaklığı: 37 °C. 30: Ortalama kan hacmi: 4 ila 6 litre (yetişkinler). 31: Alyuvar ömrü: 100-120 gün. 32: Beyaz kan hücresinin ömrü: saatlerden yıllara. 33: Hamilelik dönemi: yaklaşık 280 gün (40 hafta). 34: İnsan ayağındaki kemik sayısı: 26. 35: Her bir bilekteki kemik sayısı: 8. 36: Eldeki kemik sayısı: 27. 37: En büyük endokrin bezi: Tiroid. 38: En büyük lenfatik organ: Dalak. 39: Beynin en büyük kısmı: Serebrum. 40: En büyük ve en güçlü kemik: Femur. 41: En küçük kas: Stapedius (orta kulak). 42: Kromozom sayısı: 46 (23 çift). 43: Yeni doğan bebekteki kemik sayısı: yaklaşık 270 (birçoğu büyüme sırasında birbirine kaynaşır). 44: Kanın viskozitesi: Sudan 4,5 ila 5,5 kat daha viskoz. 45: Evrensel donör kan grubu: 0 negatif. 46: Evrensel hedef kan grubu: AB pozitif. 47: En büyük beyaz kan hücresi: Monosit. 48: En küçük beyaz kan hücresi: Lenfosit. 49: Kırmızı kan hücrelerinde artış: polisitemi. 50: Vücuttaki kan bankası: Dalak. 51: Çekirdeksiz kan hücresi: Kırmızı kan hücresi. 52: Kan üretim yeri: Kırmızı kemik iliği. 53: Yaşam nehri: Kan. 54: Normal kan kolesterol düzeyi: 200 mg/dL'den az (istenen). 55: Kanın sıvı kısmı: Kan plazması. 56: Yanıp sönme süresi: yaklaşık 100-400 milisaniye. 57: Ter bezlerinin sayısı: yaklaşık 2-4 milyon. 58: Yetişkinlerde ortalama toplam akciğer kapasitesi: 6 litre. 59: Akciğerlerdeki lob sayısı: 5 (sağ akciğerde 3, solda 2). 60: Büyüklüğüne oranla en güçlü kas: Masseter (çene) kası. 61: İnsan beynindeki nöron sayısı: yaklaşık 86 milyar. 62: Sinir impulslarının maksimum hızı: saniyede 100-120 metre. 63: İnsan vücudundaki ortalama su miktarı: yaklaşık %60. 64: Bir insanın hayatı boyunca yürüdüğü ortalama mesafe: 110.000-190.000 km. 65: Ortalama yaşam süresindeki kalp atış sayısı: 2,5 milyardan fazla. 66: Cilt yaklaşık 27 günde bir yenilenir. 67: Mide her 3-4 günde bir yeni bir mukoza tabakası üretir. 68: Karaciğer, kütlesinin %75'ini kaybettikten sonra bile tamamen yenilenebilir. 69: İnsan vücudu yaklaşık 39 trilyon bakteri ve 30 trilyon insan hücresi içerir. 70: Lenfatik sistemin toplam uzunluğu yaklaşık 100.000 km. (Alıntıdır)

BİLMEMİZ GEREKEN VERİLER 1: Kemik sayısı: 206 (yetişkin). 2: Kas sayısı: yaklaşık 600. 3: Böbrek sayısı: 2. 4: Süt dişi sayısı: 20. 5: Kaburga sayısı: 24 (12 çift). 6: Kalbin odacık sayısı: 4. 7: En büyük arter: Aort. 8: Normal kan basıncı: 120/80 mmHg. 9: Kan pH'ı: 7,35 - 7,45. 10: Omurgadaki omur sayısı: 33 (7 servikal, 12 torasik, 5 lomber, 5 kaynaşmış sakral ve 4 kaynaşmış koksiks). 11: Boyundaki omur sayısı: 7 (servikal). 12: Orta kulaktaki kemik sayısı: 6 (her kulakta 3 adet). 13: Yüzdeki kemik sayısı: 14. 14: Kafatasındaki kemik sayısı: 22. 15: Göğüsteki kemik sayısı: 25 (sternum dahil). 16: Kollardaki kemik sayısı: 6 (humerus, radius ve ulna dahil). 17: İnsan kolundaki kas sayısı: yaklaşık 72. 18: Kalpteki pompa sayısı: 2 (sağ ve sol taraf). 19: En büyük organ: Deri. 20: En büyük bez: Karaciğer. 21: En büyük hücre: dişi oosit. 22: En küçük hücre: Erkek spermi. 23: En küçük kemik: üzengi (orta kulak). 24: İlk nakledilen organ: Böbrek. 25: İnce bağırsağın ortalama uzunluğu: 6-7 m. 26: Kalın bağırsağın ortalama uzunluğu: 1,5 m. 27: Yeni doğan bebeğin ortalama ağırlığı: 2,5-4 kg. 28: Bir dakikada nabız sayısı: 60-100 kez (yetişkinler). 29: Normal vücut sıcaklığı: 37 °C. 30: Ortalama kan hacmi: 4 ila 6 litre (yetişkinler). 31: Alyuvar ömrü: 100-120 gün. 32: Beyaz kan hücresinin ömrü: saatlerden yıllara. 33: Hamilelik dönemi: yaklaşık 280 gün (40 hafta). 34: İnsan ayağındaki kemik sayısı: 26. 35: Her bir bilekteki kemik sayısı: 8. 36: Eldeki kemik sayısı: 27. 37: En büyük endokrin bezi: Tiroid. 38: En büyük lenfatik organ: Dalak. 39: Beynin en büyük kısmı: Serebrum. 40: En büyük ve en güçlü kemik: Femur. 41: En küçük kas: Stapedius (orta kulak). 42: Kromozom sayısı: 46 (23 çift). 43: Yeni doğan bebekteki kemik sayısı: yaklaşık 270 (birçoğu büyüme sırasında birbirine kaynaşır). 44: Kanın viskozitesi: Sudan 4,5 ila 5,5 kat daha viskoz. 45: Evrensel donör kan grubu: 0 negatif. 46: Evrensel hedef kan grubu: AB pozitif. 47: En büyük beyaz kan hücresi: Monosit. 48: En küçük beyaz kan hücresi: Lenfosit. 49: Kırmızı kan hücrelerinde artış: polisitemi. 50: Vücuttaki kan bankası: Dalak. 51: Çekirdeksiz kan hücresi: Kırmızı kan hücresi. 52: Kan üretim yeri: Kırmızı kemik iliği. 53: Yaşam nehri: Kan. 54: Normal kan kolesterol düzeyi: 200 mg/dL'den az (istenen). 55: Kanın sıvı kısmı: Kan plazması. 56: Yanıp sönme süresi: yaklaşık 100-400 milisaniye. 57: Ter bezlerinin sayısı: yaklaşık 2-4 milyon. 58: Yetişkinlerde ortalama toplam akciğer kapasitesi: 6 litre. 59: Akciğerlerdeki lob sayısı: 5 (sağ akciğerde 3, solda 2). 60: Büyüklüğüne oranla en güçlü kas: Masseter (çene) kası. 61: İnsan beynindeki nöron sayısı: yaklaşık 86 milyar. 62: Sinir impulslarının maksimum hızı: saniyede 100-120 metre. 63: İnsan vücudundaki ortalama su miktarı: yaklaşık %60. 64: Bir insanın hayatı boyunca yürüdüğü ortalama mesafe: 110.000-190.000 km. 65: Ortalama yaşam süresindeki kalp atış sayısı: 2,5 milyardan fazla. 66: Cilt yaklaşık 27 günde bir yenilenir. 67: Mide her 3-4 günde bir yeni bir mukoza tabakası üretir. 68: Karaciğer, kütlesinin %75'ini kaybettikten sonra bile tamamen yenilenebilir. 69: İnsan vücudu yaklaşık 39 trilyon bakteri ve 30 trilyon insan hücresi içerir. 70: Lenfatik sistemin toplam uzunluğu yaklaşık 100.000 km. (Alıntıdır)

Evrimci Zeus

171,726 Aufrufe • vor 3 Jahren

NEW: Dylan Field (Dylan Field), CEO of Figma (NYSE: FIG) How to Escape the "Permanent Underclass of Zero Taste" › Why AI prompts only get you the average › Why the market has design backwards Plus, Founders Fund's Mafia & Thiel Fellowship class behind Figma + Anthropic Recorded at Day 0 of Config 2026, San Francisco We Cover: › Vibe Mathing › Elon: Products vs Logos › AI's trust issue › Agents vs Employees › Engineers coding design › American Enterprise > › IQ ≠ Judgment or taste › What actually is a jailbreak? This was SO much fun!!! Can confirm Config-pilled. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Field, Co-Founder & CEO at Figma (00:57) Day Zero begins: backstage at Config (01:44) The "Coachella for Design" is real (02:35) Why Dylan started Config back in 2020 (03:47) Why "design is dead" is completely wrong (06:11) How Figma turned engineers into designers (06:54) Inside Config before the crowd arrives (07:55) The Config speakers Dylan can't wait to watch (11:34) Inside the exclusive Pantone Lounge (12:00) The one question every designer gets asked (13:16) Getting killed in every single game of Mafia (15:33) How to escape the permanent underclass of zero taste (19:51) Why execution is cheap but taste is everything (22:25) What actually builds a trusted brand (25:51) How AI agents are rewiring company structure (28:54) The AI safety debate happening right now (31:57) Why deep curiosity is Dylan's secret weapon (34:53) The real lesson from being a Thiel fellow (36:52) Rapid fire: Elad Gil's wildest question (38:04) What people are missing about AI & enterprise software (40:16) Where Figma goes next (41:21) Why Dylan is bullish on SpaceX (42:43) Elon Musk's logo theory (43:26) The mentors who shaped Dylan Field (45:20) Alan Kay, VR, and the future of human-computer interaction

Molly O’Shea

428,378 Aufrufe • vor 20 Tagen

东莞鸡市行情路线 1.南城塘贝村市场有年轻100元一炮 2.沙苑村市场有 3.在新旧围村篮球厂对面巷子里有 4.万江小学旁边 5.万江汽车总站市场后面有 6.大朗镇圣堂村，常平镇还珠沥村有 7.素步镇塘边村60元一炮，有嫩货 8.东城石井村市场附近有，包吹60元一炮 9.东城主山市场有，年轻130元一炮 10.茶山镇步行街、东东时装后面二十米有五六个，桃李春学校后面 11.道警镇综合市场左右一带有，少妇快餐50元~60元炮，20岁左右的150元一炮 12.长安镇秀边村万达广场，霄边大街，中国电信大楼对面有，400元有服务，不限时间 13.察步镇石龙坑村上门服务，经理电话15015256105(先讲是熟人介绍，否则挂电话 14.察步镇良平大道祥和沐足服务BT，DFJ有 15.索步镇良平综合市场60元一炮，有新来嫩货 16.石碣镇上村50~80元一炮，熟女为主 17.莞城花园新村，楼凤130元吹做 18.厚街镇华润超市下车，从小巷子里面穿到康乐南路光明眼镜店后面，有女性出没 19.厚街镇商贸中心附近，180元一炮，有极品 20.常平镇土塘村公园，天桥附近-塘东路。服务：换姿势，全脱。安全，有两处地方,有人带着进去,过程女女很配合100元一炮，晚上天气凉快就有，白天没有 21.厚街镇汀山市场对面的小巷子，60元，不脱，150元脱，口吹，样子一般，B一般有点紧，人不漂亮。，BO小，不让摸 22.花园新村莞龙沐足，洗脚60元，三钟DFJ 23.东城桑园村圃园路口熟女50元一炮 24.石湾老街80元~100元一炮，有嫩货，老的40~60元 25.东城峡口村农商银行旁，晚上8点后有嫩货150元一炮 26. 东莞花园新村熟女条龙妈咪电话 15724018299 27. 莞城白沙塘村楼凤，快餐150元吹做熟女电话1371194 5018 28.下桥银丰沐足有DFJ 29.石喝紧兰沐足熟人可快餐、带去出租房做 30.石湾金海桑拿莞式IS0、468(营业中) 以下地点须从新验证价格也都上涨 31.长安镇新一族长安上沙107国道下车搞个电单车 5元钱，就到了，可以自己到对面开房搞快餐 60元、80元都有。宵边村市场也有,沙头村旧市场往鱼塘走出去的那几条巷子

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东莞鸡市行情路线 1.南城塘贝村市场有年轻100元一炮 2.沙苑村市场有 3.在新旧围村篮球厂对面巷子里有 4.万江小学旁边 5.万江汽车总站市场后面有 6.大朗镇圣堂村，常平镇还珠沥村有 7.素步镇塘边村60元一炮，有嫩货 8.东城石井村市场附近有，包吹60元一炮 9.东城主山市场有，年轻130元一炮 10.茶山镇步行街、东东时装后面二十米有五六个，桃李春学校后面 11.道警镇综合市场左右一带有，少妇快餐50元~60元炮，20岁左右的150元一炮 12.长安镇秀边村万达广场，霄边大街，中国电信大楼对面有，400元有服务，不限时间 13.察步镇石龙坑村上门服务，经理电话15015256105(先讲是熟人介绍，否则挂电话 14.察步镇良平大道祥和沐足服务BT，DFJ有 15.索步镇良平综合市场60元一炮，有新来嫩货 16.石碣镇上村50~80元一炮，熟女为主 17.莞城花园新村，楼凤130元吹做 18.厚街镇华润超市下车，从小巷子里面穿到康乐南路光明眼镜店后面，有女性出没 19.厚街镇商贸中心附近，180元一炮，有极品 20.常平镇土塘村公园，天桥附近-塘东路。服务：换姿势，全脱。安全，有两处地方,有人带着进去,过程女女很配合100元一炮，晚上天气凉快就有，白天没有 21.厚街镇汀山市场对面的小巷子，60元，不脱，150元脱，口吹，样子一般，B一般有点紧，人不漂亮。，BO小，不让摸 22.花园新村莞龙沐足，洗脚60元，三钟DFJ 23.东城桑园村圃园路口熟女50元一炮 24.石湾老街80元~100元一炮，有嫩货，老的40~60元 25.东城峡口村农商银行旁，晚上8点后有嫩货150元一炮 26. 东莞花园新村熟女条龙妈咪电话 15724018299 27. 莞城白沙塘村楼凤，快餐150元吹做熟女电话1371194 5018 28.下桥银丰沐足有DFJ 29.石喝紧兰沐足熟人可快餐、带去出租房做 30.石湾金海桑拿莞式IS0、468(营业中) 以下地点须从新验证价格也都上涨 31.长安镇新一族长安上沙107国道下车搞个电单车 5元钱，就到了，可以自己到对面开房搞快餐 60元、80元都有。宵边村市场也有,沙头村旧市场往鱼塘走出去的那几条巷子

GOD猴面 🚀

16,546 Aufrufe • vor 2 Jahren

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.

Blaze

97,070 Aufrufe • vor 5 Monaten

Hezbollah has been boasting how it could destroy the USS Gerald R. Ford (CVN-78) and its escorts. Lets dive into how Hezbollah Terrorists could attack a US Navy Aircraft carrier in the Med, what could happen, and the possible outcomes, assisted with Command Development Team simulation software. To understand the footage shown, let me break down some basic concepts of modern naval combat: Military ships often use a concept called "EMCON", which stands for EMission CONtrol, or "Radio silence" in laymans terms. Consider it like this: if you are with a flashlight in the night, you can spot a person say 500 Meters away by shining at him with the flashlight. You will however, be able to see that flashlight from many kilometers away, without being seen, even if it is directed at you, giving you the location of the person with the flashlight, without disclosing your presence. So ships really avoid "radio emissions", such as radar. Carrier Strike Groups (CSG) like the Ford CSG WANT Radar coverage for their own safety, but not in a way that their location can be known. This is done by Airplanes that fly in the general vicinity of the CSG, providing coverage, without compromising the CSG location. The US Navy uses the E-2 Hawkeye for this in most cases. In this case here, we are not using the E-2 Hawkeye, but the (likely in Theater anyway) E-3 Sentry from NATO. A system that is likely LESS sophisticated than the cutting edge E-2D Advanced Hawkeyes that were visible on the USS Ford pictures that surfaced recently. We do not simulate any carrier based "Combat Air Patrol" either, to test the "ship based" defenses. The composition of the Ford CSG is modeled using the actual ships listed. The CSG is moving on a nothern course at 15 knots, under full EMCON, 115 miles off the coast. The maximum range of the Russian Bastion-P coastal missle complex is about 100 miles, we have to assume that the US Navy will sail their ships outside of (possible) Hezbollah radar range. We also assume, as this is a time of very heightened alert, that the US Navy has Rules of Engagement that would allow it to shoot down any Hezbollah drones or craft coming at it with apparent hostile intention. I have assumed this to be 50 miles away from the CSG in this scenario. Now lets look at the Hezbollah side. We assume to have 6 Bastion-P complexes, with 2 missles per Transport-Erector-Launcher (TEL). So if it can be figured out where the CSG is, 12 P-800 Oniks missle with speeds over Mach 2 would be able to engage the CSG. The problem however is, that you can not "shoot" at a ship without knowing its location. While this may sound very simple indeed, when the ship you are looking for does not disclose its location voluntarily, you can not go to "marinetraffic" and look for the carrier. You can also not use your airforce, if you do not really have one, like Hezbollah. You can not use Sattelites, if you have none. You can try to use drones, if you know the overall direction, or use radar. Land based Radar? Out of Range. Drones? Yes, lets fly drones to the overall direction, hoping to see the carrier. Satellites? Nope. Wait, lets ask Putin. He will probably be nice enough to us, to have a liasion tell us in real time from a russian sattelite where the CSG is. And thats what we are running with here, as drones will not reach the carrier. A russian sattelite could provide rather real time information on the CSG location, allowing manual targeting. The video will provide you with the results. A US CSG with such powerful escorts will not be fundamentally threatened by the assets of Hezbollah. It will have to defend, but will do so rather easily. At the conclusion of the Engagement, the CSG still has literally 100s of SM-2, SM-6 and ESSM Missles. Note: this is done on commercially available software, the software uses NTDS/APP6 icons, white is air radar range, yellow surface, green sonar. The white cones off the missles are their onboard active radar seeker. If you have any questions understanding any of the things displyed, please ask. Note that this is a hobby analysis with publicly available data and tools, and not military research. Thanks for reading! #usnavy #HezbollahTerrorists #hezbullah #hezbollah #israel #IsraelUnderAttack #ukraine #russia #nato Naval News SubBrief Tyler Rogoway Status-6 (War & Military News) TheIntelFrog @CovertShores Raw Combat log output, starting with Hezbollah detecting CSG via RU Proxy: 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1070 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1071 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1072 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1073 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1145.4nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1074 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1153.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1075 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1148nm 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1073 has been positively identified as: DDG 63 Carney [Arleigh Burke Flight I] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1121 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1071 has been positively identified as: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1070 has been positively identified as: CVN 78 Gerald R. Ford - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1072 has been positively identified as: DDG 61 Ramage [Arleigh Burke Flight I] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1074 has been positively identified as: DDG 80 Roosevelt [Arleigh Burke Flight IIA] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1129 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1075 has been positively identified as: CG 60 Normandy [Ticonderoga Baseline 3, VLS] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1124 nm) 13/10/2023 12:47:23 - [USA] Contact: BOGEY #24 has been classified as: Ababil-3 UAV [Mod. Seeker 2D Copy] - Determined as: Unfriendly (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: AN/SPY-1D(V) MFR [ABM Mod]] [NCTR mode] at 56.9 nm) 13/10/2023 12:47:23 - [USA] Contact: BOGEY #26 has been classified as: Shahed-161 UAV - Determined as: Unfriendly (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: AN/SPY-1D(V) MFR [ABM Mod]] [NCTR mode] at 34.9 nm) 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3507 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 95.2nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3508 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.4nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3509 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 95.6nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3510 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.8nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3511 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.1nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3512 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.4nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3513 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 97.1nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3514 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 98nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3515 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 97.2nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3576 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 68deg - 91nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3577 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 89.9nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3578 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 90.7nm 13/10/2023 12:48:13 - Side 'Hezbollah' is now considered HOSTILE to USA 13/10/2023 12:48:13 - [USA] Contact: Shahed-161 UAV #26 has been manually marked as hostile! 13/10/2023 12:48:20 - [USA] Contact: BOGEY #22 has been manually marked as hostile! 13/10/2023 12:48:55 - [Hezbollah] New contact! Designated SAM #1238 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 266deg - 10nm 13/10/2023 12:48:59 - [Hezbollah] New contact! Designated SAM #1243 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 266deg - 8.6nm 13/10/2023 12:49:00 - [Hezbollah] New contact! Designated SAM #1245 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 234deg - 13.3nm 13/10/2023 12:49:17 - Weapon: RIM-174A ERAM SM-6 Blk IA #40 is attacking Shahed-161 UAV with a base PH of 90%. PH adjusted for weapon speed: 36% (pure-aerodynamic attitude control). Intercept angle is 304 deg - hit probability adjusted to 25%.Final PH: 25%. Result: 30 - MISS 13/10/2023 12:49:17 - [Hezbollah] Hezbollah :Contact SAM #1238 has been lost. 13/10/2023 12:49:25 - [Hezbollah] New contact! Designated SAM #1271 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 248deg - 13.1nm 13/10/2023 12:49:34 - Weapon: RIM-174A ERAM SM-6 Blk IB #41 is attacking Ababil-3 UAV [Mod. Seeker 2D Copy] with a base PH of 90%. Intercept angle is 51 deg - hit probability adjusted to 65%.Final PH: 65%. Result: 12 - HIT 13/10/2023 12:49:34 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:34 - [Hezbollah] Hezbollah :Contact SAM #1271 has been lost. 13/10/2023 12:49:34 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has been destroyed! 13/10/2023 12:49:34 - [USA] Contact Ababil-3 UAV [Mod. Seeker 2D Copy] #23 has been lost. 13/10/2023 12:49:39 - Weapon: RIM-174A ERAM SM-6 Blk IB #42 is attacking Ababil-3 UAV [Mod. Seeker 2D Copy] with a base PH of 90%. Intercept angle is 313 deg - hit probability adjusted to 66%.Final PH: 66%. Result: 11 - HIT 13/10/2023 12:49:39 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:39 - [Hezbollah] Hezbollah :Contact SAM #1243 has been lost. 13/10/2023 12:49:39 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has been destroyed! 13/10/2023 12:49:39 - [USA] Contact Ababil-3 UAV [Mod. Seeker 2D Copy] #24 has been lost. 13/10/2023 12:49:43 - Weapon: RIM-174A ERAM SM-6 Blk IB #43 is attacking Shahed-161 UAV with a base PH of 90%. Intercept angle is 65 deg - hit probability adjusted to 57%.Final PH: 57%. Result: 11 - HIT 13/10/2023 12:49:43 - [Hezbollah] Shahed-161 UAV has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:43 - [Hezbollah] Hezbollah :Contact SAM #1245 has been lost. 13/10/2023 12:49:43 - [Hezbollah] Shahed-161 UAV has been destroyed! 13/10/2023 12:49:43 - [USA] Contact Shahed-161 UAV #25 has been lost. 13/10/2023 12:49:54 - [Hezbollah] New contact! Designated SAM #1301 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 258deg - 10.5nm 13/10/2023 12:50:10 - Weapon: RIM-174A ERAM SM-6 Blk IA #44 is attacking Shahed-161 UAV with a base PH of 90%. PH adjusted for weapon speed: 83% (pure-aerodynamic attitude control). Target signature modifier: -5% (Director [Active Radar Seeker] has tech-gen: Late 2010s). Intercept angle is 316 deg - hit probability adjusted to 59%.Final PH: 59%. Result: 42 - HIT 13/10/2023 12:50:10 - [Hezbollah] Shahed-161 UAV has suffered weapon damage: 89 DPs 13/10/2023 12:50:10 - [Hezbollah] Hezbollah :Contact SAM #1301 has been lost. 13/10/2023 12:50:10 - [Hezbollah] Shahed-161 UAV has been destroyed! 13/10/2023 12:50:10 - [USA] Contact Shahed-161 UAV #26 has been lost. 13/10/2023 12:51:58 - [USA] Contact: VAMPIRE #3507 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3508 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3509 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3511 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:00 - [USA] Contact: VAMPIRE #3510 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:00 - [USA] Contact: VAMPIRE #3512 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:04 - [USA] Contact: VAMPIRE #3513 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:04 - [USA] Contact: VAMPIRE #3577 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:05 - [USA] Contact: VAMPIRE #3514 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:05 - [USA] Contact: VAMPIRE #3515 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:06 - [USA] Contact: VAMPIRE #3576 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:06 - [USA] Contact: VAMPIRE #3578 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:08 - Weapon: RIM-162D ESSM #45 is attacking SSC-5 Stooge [P-800 Yakhont] #28 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 357 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 34 - HIT 13/10/2023 12:52:08 - [USA] Contact GuidedWeapon #3507 has been lost. 13/10/2023 12:52:09 - Weapon: RIM-162D ESSM #46 is attacking SSC-5 Stooge [P-800 Yakhont] #29 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 31 - HIT 13/10/2023 12:52:09 - [USA] Contact GuidedWeapon #3508 has been lost. 13/10/2023 12:52:11 - Weapon: RIM-162D ESSM #49 is attacking SSC-5 Stooge [P-800 Yakhont] #32 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 36 - HIT 13/10/2023 12:52:11 - [USA] Contact GuidedWeapon #3511 has been lost. 13/10/2023 12:52:11 - Weapon: RIM-162A ESSM #52 is attacking SSC-5 Stooge [P-800 Yakhont] #31 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 355 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 9 - HIT 13/10/2023 12:52:11 - [USA] Weapon: RIM-162A ESSM #57 has been redirected to new target: GuidedWeapon #3515 13/10/2023 12:52:11 - [USA] Contact GuidedWeapon #3510 has been lost. 13/10/2023 12:52:12 - Weapon: RIM-162D ESSM #50 is attacking SSC-5 Stooge [P-800 Yakhont] #30 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 356 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 25 - HIT 13/10/2023 12:52:12 - [USA] Contact GuidedWeapon #3509 has been lost. 13/10/2023 12:52:12 - Weapon: RIM-162A ESSM #55 is attacking SSC-5 Stooge [P-800 Yakhont] #33 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 355 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 20 - HIT 13/10/2023 12:52:12 - [USA] Weapon: RIM-162A ESSM #59 has been redirected to new target: GuidedWeapon #3576 13/10/2023 12:52:12 - [USA] Contact GuidedWeapon #3512 has been lost. 13/10/2023 12:52:13 - [USA] Weapon: RIM-162D ESSM #47 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:14 - [USA] Weapon: RIM-162D ESSM #48 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:15 - Weapon: RIM-162A ESSM #57 is attacking SSC-5 Stooge [P-800 Yakhont] #36 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 0 deg - hit probability adjusted to 80%.Final PH: 80%. Result: 71 - HIT 13/10/2023 12:52:15 - [USA] Contact GuidedWeapon #3515 has been lost. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #60 is attacking SSC-5 Stooge [P-800 Yakhont] #34 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 360 deg - hit probability adjusted to 80%.Final PH: 80%. Result: 49 - HIT 13/10/2023 12:52:16 - [USA] Weapon: RIM-162A ESSM #65 has no eligible alternative target to be redirected to... 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3513 has been lost. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #51 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #54 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #58 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #59 is attacking SSC-5 Stooge [P-800 Yakhont] #38 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 357 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 75 - HIT 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3576 has been lost. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #63 is attacking SSC-5 Stooge [P-800 Yakhont] #38 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 359 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 57 - HIT 13/10/2023 12:52:16 - [USA] Weapon: RIM-162A ESSM #70 has been redirected to new target: GuidedWeapon #3514 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3577 has been lost. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #53 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162A ESSM #65 has no eligible alternative target to be redirected to... 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #56 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #61 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:18 - Weapon: RIM-162A ESSM #70 is attacking SSC-5 Stooge [P-800 Yakhont] #35 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 63 - HIT 13/10/2023 12:52:18 - [USA] Contact GuidedWeapon #3514 has been lost. 13/10/2023 12:52:18 - Weapon: RIM-174A ERAM SM-6 Blk IA #73 is attacking SSC-5 Stooge [P-800 Yakhont] #39 with a base PH of 90%. Intercept angle is 355 deg - hit probability adjusted to 88%.Final PH: 88%. Result: 34 - HIT 13/10/2023 12:52:18 - [USA] Contact GuidedWeapon #3578 has been lost.

Hezbollah has been boasting how it could destroy the USS Gerald R. Ford (CVN-78) and its escorts. Lets dive into how Hezbollah Terrorists could attack a US Navy Aircraft carrier in the Med, what could happen, and the possible outcomes, assisted with Command Development Team simulation software. To understand the footage shown, let me break down some basic concepts of modern naval combat: Military ships often use a concept called "EMCON", which stands for EMission CONtrol, or "Radio silence" in laymans terms. Consider it like this: if you are with a flashlight in the night, you can spot a person say 500 Meters away by shining at him with the flashlight. You will however, be able to see that flashlight from many kilometers away, without being seen, even if it is directed at you, giving you the location of the person with the flashlight, without disclosing your presence. So ships really avoid "radio emissions", such as radar. Carrier Strike Groups (CSG) like the Ford CSG WANT Radar coverage for their own safety, but not in a way that their location can be known. This is done by Airplanes that fly in the general vicinity of the CSG, providing coverage, without compromising the CSG location. The US Navy uses the E-2 Hawkeye for this in most cases. In this case here, we are not using the E-2 Hawkeye, but the (likely in Theater anyway) E-3 Sentry from NATO. A system that is likely LESS sophisticated than the cutting edge E-2D Advanced Hawkeyes that were visible on the USS Ford pictures that surfaced recently. We do not simulate any carrier based "Combat Air Patrol" either, to test the "ship based" defenses. The composition of the Ford CSG is modeled using the actual ships listed. The CSG is moving on a nothern course at 15 knots, under full EMCON, 115 miles off the coast. The maximum range of the Russian Bastion-P coastal missle complex is about 100 miles, we have to assume that the US Navy will sail their ships outside of (possible) Hezbollah radar range. We also assume, as this is a time of very heightened alert, that the US Navy has Rules of Engagement that would allow it to shoot down any Hezbollah drones or craft coming at it with apparent hostile intention. I have assumed this to be 50 miles away from the CSG in this scenario. Now lets look at the Hezbollah side. We assume to have 6 Bastion-P complexes, with 2 missles per Transport-Erector-Launcher (TEL). So if it can be figured out where the CSG is, 12 P-800 Oniks missle with speeds over Mach 2 would be able to engage the CSG. The problem however is, that you can not "shoot" at a ship without knowing its location. While this may sound very simple indeed, when the ship you are looking for does not disclose its location voluntarily, you can not go to "marinetraffic" and look for the carrier. You can also not use your airforce, if you do not really have one, like Hezbollah. You can not use Sattelites, if you have none. You can try to use drones, if you know the overall direction, or use radar. Land based Radar? Out of Range. Drones? Yes, lets fly drones to the overall direction, hoping to see the carrier. Satellites? Nope. Wait, lets ask Putin. He will probably be nice enough to us, to have a liasion tell us in real time from a russian sattelite where the CSG is. And thats what we are running with here, as drones will not reach the carrier. A russian sattelite could provide rather real time information on the CSG location, allowing manual targeting. The video will provide you with the results. A US CSG with such powerful escorts will not be fundamentally threatened by the assets of Hezbollah. It will have to defend, but will do so rather easily. At the conclusion of the Engagement, the CSG still has literally 100s of SM-2, SM-6 and ESSM Missles. Note: this is done on commercially available software, the software uses NTDS/APP6 icons, white is air radar range, yellow surface, green sonar. The white cones off the missles are their onboard active radar seeker. If you have any questions understanding any of the things displyed, please ask. Note that this is a hobby analysis with publicly available data and tools, and not military research. Thanks for reading! #usnavy #HezbollahTerrorists #hezbullah #hezbollah #israel #IsraelUnderAttack #ukraine #russia #nato Naval News SubBrief Tyler Rogoway Status-6 (War & Military News) TheIntelFrog @CovertShores Raw Combat log output, starting with Hezbollah detecting CSG via RU Proxy: 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1070 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1071 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1072 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1149.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1073 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1145.4nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1074 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1153.3nm 13/10/2023 12:46:13 - [Hezbollah] New contact! Designated SKUNK #1075 - Detected by Resurs P1 [Sensors: Generic Satellite Visual Camera] at 177deg - 1148nm 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1073 has been positively identified as: DDG 63 Carney [Arleigh Burke Flight I] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1121 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1071 has been positively identified as: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1070 has been positively identified as: CVN 78 Gerald R. Ford - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1072 has been positively identified as: DDG 61 Ramage [Arleigh Burke Flight I] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1125 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1074 has been positively identified as: DDG 80 Roosevelt [Arleigh Burke Flight IIA] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1129 nm) 13/10/2023 12:46:23 - [Hezbollah] Contact: SKUNK #1075 has been positively identified as: CG 60 Normandy [Ticonderoga Baseline 3, VLS] - Determined as: Hostile (ID by: Resurs P1 [Sensor: Generic Satellite Visual Camera] at Estimated 1124 nm) 13/10/2023 12:47:23 - [USA] Contact: BOGEY #24 has been classified as: Ababil-3 UAV [Mod. Seeker 2D Copy] - Determined as: Unfriendly (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: AN/SPY-1D(V) MFR [ABM Mod]] [NCTR mode] at 56.9 nm) 13/10/2023 12:47:23 - [USA] Contact: BOGEY #26 has been classified as: Shahed-161 UAV - Determined as: Unfriendly (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: AN/SPY-1D(V) MFR [ABM Mod]] [NCTR mode] at 34.9 nm) 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3507 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 95.2nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3508 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.4nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3509 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 95.6nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3510 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.8nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3511 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.1nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3512 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 96.4nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3513 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 97.1nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3514 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 98nm 13/10/2023 12:47:52 - [USA] New contact! Designated VAMPIRE #3515 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 70deg - 97.2nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3576 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 68deg - 91nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3577 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 89.9nm 13/10/2023 12:48:12 - [USA] New contact! Designated VAMPIRE #3578 - Detected by E-3A Sentry [Sensors: AN/APY-2 RSIP] at 69deg - 90.7nm 13/10/2023 12:48:13 - Side 'Hezbollah' is now considered HOSTILE to USA 13/10/2023 12:48:13 - [USA] Contact: Shahed-161 UAV #26 has been manually marked as hostile! 13/10/2023 12:48:20 - [USA] Contact: BOGEY #22 has been manually marked as hostile! 13/10/2023 12:48:55 - [Hezbollah] New contact! Designated SAM #1238 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 266deg - 10nm 13/10/2023 12:48:59 - [Hezbollah] New contact! Designated SAM #1243 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 266deg - 8.6nm 13/10/2023 12:49:00 - [Hezbollah] New contact! Designated SAM #1245 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 234deg - 13.3nm 13/10/2023 12:49:17 - Weapon: RIM-174A ERAM SM-6 Blk IA #40 is attacking Shahed-161 UAV with a base PH of 90%. PH adjusted for weapon speed: 36% (pure-aerodynamic attitude control). Intercept angle is 304 deg - hit probability adjusted to 25%.Final PH: 25%. Result: 30 - MISS 13/10/2023 12:49:17 - [Hezbollah] Hezbollah :Contact SAM #1238 has been lost. 13/10/2023 12:49:25 - [Hezbollah] New contact! Designated SAM #1271 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 248deg - 13.1nm 13/10/2023 12:49:34 - Weapon: RIM-174A ERAM SM-6 Blk IB #41 is attacking Ababil-3 UAV [Mod. Seeker 2D Copy] with a base PH of 90%. Intercept angle is 51 deg - hit probability adjusted to 65%.Final PH: 65%. Result: 12 - HIT 13/10/2023 12:49:34 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:34 - [Hezbollah] Hezbollah :Contact SAM #1271 has been lost. 13/10/2023 12:49:34 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has been destroyed! 13/10/2023 12:49:34 - [USA] Contact Ababil-3 UAV [Mod. Seeker 2D Copy] #23 has been lost. 13/10/2023 12:49:39 - Weapon: RIM-174A ERAM SM-6 Blk IB #42 is attacking Ababil-3 UAV [Mod. Seeker 2D Copy] with a base PH of 90%. Intercept angle is 313 deg - hit probability adjusted to 66%.Final PH: 66%. Result: 11 - HIT 13/10/2023 12:49:39 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:39 - [Hezbollah] Hezbollah :Contact SAM #1243 has been lost. 13/10/2023 12:49:39 - [Hezbollah] Ababil-3 UAV [Mod. Seeker 2D Copy] has been destroyed! 13/10/2023 12:49:39 - [USA] Contact Ababil-3 UAV [Mod. Seeker 2D Copy] #24 has been lost. 13/10/2023 12:49:43 - Weapon: RIM-174A ERAM SM-6 Blk IB #43 is attacking Shahed-161 UAV with a base PH of 90%. Intercept angle is 65 deg - hit probability adjusted to 57%.Final PH: 57%. Result: 11 - HIT 13/10/2023 12:49:43 - [Hezbollah] Shahed-161 UAV has suffered weapon damage: 89.9 DPs 13/10/2023 12:49:43 - [Hezbollah] Hezbollah :Contact SAM #1245 has been lost. 13/10/2023 12:49:43 - [Hezbollah] Shahed-161 UAV has been destroyed! 13/10/2023 12:49:43 - [USA] Contact Shahed-161 UAV #25 has been lost. 13/10/2023 12:49:54 - [Hezbollah] New contact! Designated SAM #1301 - Detected by Shahed-161 UAV [Sensors: Generic IRST] at 258deg - 10.5nm 13/10/2023 12:50:10 - Weapon: RIM-174A ERAM SM-6 Blk IA #44 is attacking Shahed-161 UAV with a base PH of 90%. PH adjusted for weapon speed: 83% (pure-aerodynamic attitude control). Target signature modifier: -5% (Director [Active Radar Seeker] has tech-gen: Late 2010s). Intercept angle is 316 deg - hit probability adjusted to 59%.Final PH: 59%. Result: 42 - HIT 13/10/2023 12:50:10 - [Hezbollah] Shahed-161 UAV has suffered weapon damage: 89 DPs 13/10/2023 12:50:10 - [Hezbollah] Hezbollah :Contact SAM #1301 has been lost. 13/10/2023 12:50:10 - [Hezbollah] Shahed-161 UAV has been destroyed! 13/10/2023 12:50:10 - [USA] Contact Shahed-161 UAV #26 has been lost. 13/10/2023 12:51:58 - [USA] Contact: VAMPIRE #3507 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3508 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3509 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:51:59 - [USA] Contact: VAMPIRE #3511 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:00 - [USA] Contact: VAMPIRE #3510 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:00 - [USA] Contact: VAMPIRE #3512 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:04 - [USA] Contact: VAMPIRE #3513 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:04 - [USA] Contact: VAMPIRE #3577 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:05 - [USA] Contact: VAMPIRE #3514 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:05 - [USA] Contact: VAMPIRE #3515 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:06 - [USA] Contact: VAMPIRE #3576 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 13.9 nm) 13/10/2023 12:52:06 - [USA] Contact: VAMPIRE #3578 has been type-classified as: GuidedWeapon (Classification by: DDG 116 Thomas Hudner [Arleigh Burke Flight IIA Technology Insertion] [Sensor: Mk46 Mod 1 [CCD]] at 14 nm) 13/10/2023 12:52:08 - Weapon: RIM-162D ESSM #45 is attacking SSC-5 Stooge [P-800 Yakhont] #28 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 357 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 34 - HIT 13/10/2023 12:52:08 - [USA] Contact GuidedWeapon #3507 has been lost. 13/10/2023 12:52:09 - Weapon: RIM-162D ESSM #46 is attacking SSC-5 Stooge [P-800 Yakhont] #29 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 31 - HIT 13/10/2023 12:52:09 - [USA] Contact GuidedWeapon #3508 has been lost. 13/10/2023 12:52:11 - Weapon: RIM-162D ESSM #49 is attacking SSC-5 Stooge [P-800 Yakhont] #32 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 36 - HIT 13/10/2023 12:52:11 - [USA] Contact GuidedWeapon #3511 has been lost. 13/10/2023 12:52:11 - Weapon: RIM-162A ESSM #52 is attacking SSC-5 Stooge [P-800 Yakhont] #31 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 355 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 9 - HIT 13/10/2023 12:52:11 - [USA] Weapon: RIM-162A ESSM #57 has been redirected to new target: GuidedWeapon #3515 13/10/2023 12:52:11 - [USA] Contact GuidedWeapon #3510 has been lost. 13/10/2023 12:52:12 - Weapon: RIM-162D ESSM #50 is attacking SSC-5 Stooge [P-800 Yakhont] #30 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 356 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 25 - HIT 13/10/2023 12:52:12 - [USA] Contact GuidedWeapon #3509 has been lost. 13/10/2023 12:52:12 - Weapon: RIM-162A ESSM #55 is attacking SSC-5 Stooge [P-800 Yakhont] #33 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 355 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 20 - HIT 13/10/2023 12:52:12 - [USA] Weapon: RIM-162A ESSM #59 has been redirected to new target: GuidedWeapon #3576 13/10/2023 12:52:12 - [USA] Contact GuidedWeapon #3512 has been lost. 13/10/2023 12:52:13 - [USA] Weapon: RIM-162D ESSM #47 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:14 - [USA] Weapon: RIM-162D ESSM #48 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:15 - Weapon: RIM-162A ESSM #57 is attacking SSC-5 Stooge [P-800 Yakhont] #36 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 0 deg - hit probability adjusted to 80%.Final PH: 80%. Result: 71 - HIT 13/10/2023 12:52:15 - [USA] Contact GuidedWeapon #3515 has been lost. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #60 is attacking SSC-5 Stooge [P-800 Yakhont] #34 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 360 deg - hit probability adjusted to 80%.Final PH: 80%. Result: 49 - HIT 13/10/2023 12:52:16 - [USA] Weapon: RIM-162A ESSM #65 has no eligible alternative target to be redirected to... 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3513 has been lost. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #51 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #54 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - [USA] Weapon: RIM-162D ESSM #58 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #59 is attacking SSC-5 Stooge [P-800 Yakhont] #38 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 357 deg - hit probability adjusted to 78%.Final PH: 78%. Result: 75 - HIT 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3576 has been lost. 13/10/2023 12:52:16 - Weapon: RIM-162A ESSM #63 is attacking SSC-5 Stooge [P-800 Yakhont] #38 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 359 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 57 - HIT 13/10/2023 12:52:16 - [USA] Weapon: RIM-162A ESSM #70 has been redirected to new target: GuidedWeapon #3514 13/10/2023 12:52:16 - [USA] Contact GuidedWeapon #3577 has been lost. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #53 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162A ESSM #65 has no eligible alternative target to be redirected to... 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #56 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:17 - [USA] Weapon: RIM-162D ESSM #61 is running blind for more than 5 sec... self-destructing. 13/10/2023 12:52:18 - Weapon: RIM-162A ESSM #70 is attacking SSC-5 Stooge [P-800 Yakhont] #35 with a base PH of 90%. Target speed modifier: -10%. Intercept angle is 358 deg - hit probability adjusted to 79%.Final PH: 79%. Result: 63 - HIT 13/10/2023 12:52:18 - [USA] Contact GuidedWeapon #3514 has been lost. 13/10/2023 12:52:18 - Weapon: RIM-174A ERAM SM-6 Blk IA #73 is attacking SSC-5 Stooge [P-800 Yakhont] #39 with a base PH of 90%. Intercept angle is 355 deg - hit probability adjusted to 88%.Final PH: 88%. Result: 34 - HIT 13/10/2023 12:52:18 - [USA] Contact GuidedWeapon #3578 has been lost.

C Schmitz

47,464 Aufrufe • vor 2 Jahren

The Multimillion Dollar Bitcoin Treasury Trade Ft. BTC Optioneer 00:00 - Intro: Why Strive (ASST) might be the best Bitcoin equity play right now 01:44 - Zach's bull case: ASST could do 2x what MicroStrategy does 02:43 - Buying Jan 2028 LEAPS on ASST - targeting 20-40x 04:35 - MetaPlanet: Is Japan's Bitcoin treasury company worth it? 06:05 - MNAV explained: How to know when MSTR is overvalued vs undervalued 09:34 - Ranking the top options trades right now: LEAPS vs puts vs covered calls 10:44 - Put selling masterclass: Delta, DTE, and volatility thresholds 12:29 - "If you're a gambling addict, don't do this" — margin warning 13:04 - The Robinhood edge: Selling puts on margin with zero interest on collateral 14:11 - When covered calls make sense (and when they don't) 15:55 - How the wheel strategy works on MSTR and ASST 17:00 - Is Circle (USDC) worth buying? Why Zach prefers MSTR over Coinbase 19:05 - "Coinbase is a better stock than it is a company" 21:33 - Robinhood stock: Wheeling it live and making $400 in a week 24:25 - Call debit spreads explained in 2 minutes 27:08 - Live look at ASST LEAPS premiums at market open 28:25 - Pro tip: Never chase - set limit orders below the ask and wait 29:00 - Will MSTR all-time high and BTC all-time high happen at the same time? 31:45 - Exit strategy: When to take profits on MSTR without selling shares 35:25 - Using covered calls as a profit-taking tool instead of selling your position 38:21 - The risk: You can still lose your shares even if you keep rolling 40:51 - LEAPS vs shares: The math on why options give you 2x+ the upside 42:52 - Where to find BTC Optioneer + final thoughts

The Multimillion Dollar Bitcoin Treasury Trade Ft. BTC Optioneer 00:00 - Intro: Why Strive (ASST) might be the best Bitcoin equity play right now 01:44 - Zach's bull case: ASST could do 2x what MicroStrategy does 02:43 - Buying Jan 2028 LEAPS on ASST - targeting 20-40x 04:35 - MetaPlanet: Is Japan's Bitcoin treasury company worth it? 06:05 - MNAV explained: How to know when MSTR is overvalued vs undervalued 09:34 - Ranking the top options trades right now: LEAPS vs puts vs covered calls 10:44 - Put selling masterclass: Delta, DTE, and volatility thresholds 12:29 - "If you're a gambling addict, don't do this" — margin warning 13:04 - The Robinhood edge: Selling puts on margin with zero interest on collateral 14:11 - When covered calls make sense (and when they don't) 15:55 - How the wheel strategy works on MSTR and ASST 17:00 - Is Circle (USDC) worth buying? Why Zach prefers MSTR over Coinbase 19:05 - "Coinbase is a better stock than it is a company" 21:33 - Robinhood stock: Wheeling it live and making $400 in a week 24:25 - Call debit spreads explained in 2 minutes 27:08 - Live look at ASST LEAPS premiums at market open 28:25 - Pro tip: Never chase - set limit orders below the ask and wait 29:00 - Will MSTR all-time high and BTC all-time high happen at the same time? 31:45 - Exit strategy: When to take profits on MSTR without selling shares 35:25 - Using covered calls as a profit-taking tool instead of selling your position 38:21 - The risk: You can still lose your shares even if you keep rolling 40:51 - LEAPS vs shares: The math on why options give you 2x+ the upside 42:52 - Where to find BTC Optioneer + final thoughts

Pio

22,697 Aufrufe • vor 2 Monaten

… 🚨 DATOS QUE DEBEMOS SABER 1: Número de huesos: 206 (adultos). 2: Número de músculos: aproximadamente 600. 3: Número de riñones: 2. 4: Número de dientes de leche: 20. 5: Número de costillas: 24 (12 pares). 6: Número de cámaras del corazón: 4. 7: Arteria más grande: Aorta. 8: Presión arterial normal: 120/80 mmHg. 9: pH de sangre: 7.35 - 7.45. 10: Número de vértebras en la columna vertebral: 33 (7 cervicales, 12 torácicas, 5 lumbares, 5 sacras fusionadas y 4 cóccix fusionadas). 11: Número de vértebras en el cuello: 7 (cervicales). 12: Número de huesos en el oído medio: 6 (3 en cada oído). 13: Número de huesos en la cara: 14. 14: Número de huesos en el cráneo: 22. 15: Número de huesos en el pecho: 25 (incluyendo el esternón). 16: Número de huesos en brazos: 6 (incluyendo húmero, radio y cúbito). 17: Número de músculos en el brazo humano: aproximadamente 72. 18: Número de bombas en el corazón: 2 (lado derecho e izquierdo). 19: Órgano más grande: Piel. 20: Glándula más grande: Hígado. 21: Célula más grande: Ovocito femenino. 22: Célula más pequeña: Espermatozoides masculinos. 23: Hueso más pequeño: Estribo (oído medio). 24: Primer órgano trasplantado: Riñón. 25: Longitud media del intestino delgado: 6-7 m. 26: Longitud media del intestino grueso: 1.5 m. 27: Peso promedio del bebé recién nacido: 2.5-4 kg. 28: Tasa de pulso en un minuto: 60-100 veces (adultos). 29: Temperatura corporal normal: 37 °C (98.6 °F). 30: Volumen promedio de sangre: 4 a 6 litros (adultos). 31: Lapso de vida del glóbulo rojo: 100-120 días. 32: Lapso de vida del glóbulo blanco: desde horas hasta años. 33: Periodo de embarazo: aproximadamente 280 días (40 semanas). 34: Número de huesos en el pie humano: 26. 35: Número de huesos en cada muñeca: 8. 36: Número de huesos en la mano: 27. 37: Glándula endocrina más grande: Tiroides. 38: Órgano linfático más grande: Bazo. 39: Parte más grande del encéfalo: Cerebro. 40: Hueso más grande y fuerte: Fémur. 41: Músculo más pequeño: Estapedio (oído medio). 42: Número de cromosomas: 46 (23 pares). 43: Número de huesos en el bebé recién nacido: alrededor de 270 (muchos se fusionan durante el crecimiento). 44: Viscosidad de sangre: 4.5 a 5.5 veces más viscosa que el agua. 45: Grupo de sangre donante universal: O negativo. 46: Grupo de sangre destinatario universal: AB positivo. 47: Glóbulo blanco más grande: Monocito. 48: Glóbulo blanco más pequeño: Linfocito. 49: Aumento de glóbulos rojos en sangre: Policitemia. 50: Banco de sangre en el cuerpo: Bazo. 51: La célula de la sangre no nucleada: Glóbulo rojo. 52: Lugar de producción de la sangre: médula ósea roja. 53: Río de la vida: Sangre. 54: Nivel normal de colesterol sanguíneo: menos de 200 mg/dL (deseable). 55: Parte fluida de la sangre: Plasma sanguíneo. 56: Tiempo que tarda en parpadear: alrededor de 100-400 milisegundos. 57: Número de glándulas sudoríparas: aproximadamente 2-4 millones. 58: Capacidad pulmonar total promedio en adultos: 6 litros. 59: Número de lóbulos en los pulmones: 5 (3 en el pulmón derecho y 2 en el izquierdo). 60: Músculo más fuerte en proporción a su tamaño: Músculo masetero (mandíbula). 61: Número de neuronas en el cerebro humano: aproximadamente 86 mil millones. 62: Velocidad máxima de los impulsos nerviosos: 100-120 metros por segundo. 63: Cantidad promedio de agua en el cuerpo humano: alrededor del 60%. 64: Distancia promedio que camina una persona en la vida: 110,000-190,000 km. 65: Número de latidos del corazón en la vida promedio: más de 2.5 mil millones. 66: La piel se renueva aproximadamente cada 27 días. 67: El estómago produce una nueva capa de mucosa cada 3-4 días. 68: El hígado puede regenerarse completamente incluso después de perder el 75% de su masa. 69: El cuerpo humano contiene alrededor de 39 billones de bacterias y 30 billones de células humanas. 70: El sistema linfático tiene una longitud total de aproximadamente 100,000 km. Vídeo: SmartTek Solutions No olvides seguirnos ❤️

… 🚨 DATOS QUE DEBEMOS SABER 1: Número de huesos: 206 (adultos). 2: Número de músculos: aproximadamente 600. 3: Número de riñones: 2. 4: Número de dientes de leche: 20. 5: Número de costillas: 24 (12 pares). 6: Número de cámaras del corazón: 4. 7: Arteria más grande: Aorta. 8: Presión arterial normal: 120/80 mmHg. 9: pH de sangre: 7.35 - 7.45. 10: Número de vértebras en la columna vertebral: 33 (7 cervicales, 12 torácicas, 5 lumbares, 5 sacras fusionadas y 4 cóccix fusionadas). 11: Número de vértebras en el cuello: 7 (cervicales). 12: Número de huesos en el oído medio: 6 (3 en cada oído). 13: Número de huesos en la cara: 14. 14: Número de huesos en el cráneo: 22. 15: Número de huesos en el pecho: 25 (incluyendo el esternón). 16: Número de huesos en brazos: 6 (incluyendo húmero, radio y cúbito). 17: Número de músculos en el brazo humano: aproximadamente 72. 18: Número de bombas en el corazón: 2 (lado derecho e izquierdo). 19: Órgano más grande: Piel. 20: Glándula más grande: Hígado. 21: Célula más grande: Ovocito femenino. 22: Célula más pequeña: Espermatozoides masculinos. 23: Hueso más pequeño: Estribo (oído medio). 24: Primer órgano trasplantado: Riñón. 25: Longitud media del intestino delgado: 6-7 m. 26: Longitud media del intestino grueso: 1.5 m. 27: Peso promedio del bebé recién nacido: 2.5-4 kg. 28: Tasa de pulso en un minuto: 60-100 veces (adultos). 29: Temperatura corporal normal: 37 °C (98.6 °F). 30: Volumen promedio de sangre: 4 a 6 litros (adultos). 31: Lapso de vida del glóbulo rojo: 100-120 días. 32: Lapso de vida del glóbulo blanco: desde horas hasta años. 33: Periodo de embarazo: aproximadamente 280 días (40 semanas). 34: Número de huesos en el pie humano: 26. 35: Número de huesos en cada muñeca: 8. 36: Número de huesos en la mano: 27. 37: Glándula endocrina más grande: Tiroides. 38: Órgano linfático más grande: Bazo. 39: Parte más grande del encéfalo: Cerebro. 40: Hueso más grande y fuerte: Fémur. 41: Músculo más pequeño: Estapedio (oído medio). 42: Número de cromosomas: 46 (23 pares). 43: Número de huesos en el bebé recién nacido: alrededor de 270 (muchos se fusionan durante el crecimiento). 44: Viscosidad de sangre: 4.5 a 5.5 veces más viscosa que el agua. 45: Grupo de sangre donante universal: O negativo. 46: Grupo de sangre destinatario universal: AB positivo. 47: Glóbulo blanco más grande: Monocito. 48: Glóbulo blanco más pequeño: Linfocito. 49: Aumento de glóbulos rojos en sangre: Policitemia. 50: Banco de sangre en el cuerpo: Bazo. 51: La célula de la sangre no nucleada: Glóbulo rojo. 52: Lugar de producción de la sangre: médula ósea roja. 53: Río de la vida: Sangre. 54: Nivel normal de colesterol sanguíneo: menos de 200 mg/dL (deseable). 55: Parte fluida de la sangre: Plasma sanguíneo. 56: Tiempo que tarda en parpadear: alrededor de 100-400 milisegundos. 57: Número de glándulas sudoríparas: aproximadamente 2-4 millones. 58: Capacidad pulmonar total promedio en adultos: 6 litros. 59: Número de lóbulos en los pulmones: 5 (3 en el pulmón derecho y 2 en el izquierdo). 60: Músculo más fuerte en proporción a su tamaño: Músculo masetero (mandíbula). 61: Número de neuronas en el cerebro humano: aproximadamente 86 mil millones. 62: Velocidad máxima de los impulsos nerviosos: 100-120 metros por segundo. 63: Cantidad promedio de agua en el cuerpo humano: alrededor del 60%. 64: Distancia promedio que camina una persona en la vida: 110,000-190,000 km. 65: Número de latidos del corazón en la vida promedio: más de 2.5 mil millones. 66: La piel se renueva aproximadamente cada 27 días. 67: El estómago produce una nueva capa de mucosa cada 3-4 días. 68: El hígado puede regenerarse completamente incluso después de perder el 75% de su masa. 69: El cuerpo humano contiene alrededor de 39 billones de bacterias y 30 billones de células humanas. 70: El sistema linfático tiene una longitud total de aproximadamente 100,000 km. Vídeo: SmartTek Solutions No olvides seguirnos ❤️

Comunidad Biológica

2,186,313 Aufrufe • vor 3 Jahren

Arrascaeta x Carlos Alberto: quem jogou mais no auge? A ESPN convidou 100 especialistas para falar sobre o assunto e a reposta foi essa: 1. Renato Augusto - Carlos Alberto 2. Róger Guedes - Carlos Alberto 3. Perdigão - Carlos Alberto 4. Hugo Souza - Arrascaeta 5. André Kfouri - Arrascaeta 6. Oscar - Arrascaeta 7. Jô - Carlos Alberto 8. Felipe Vizeu - Arrascaeta 9. André Hernan - Arrascaeta 10. Abel Braga - Arrascaeta 11. Alexsandro - Arrascaeta 12. Danilo - Arrascaeta 13. Dagoberto - Arrascaeta 14. Luizão - Carlos Alberto 15. Walter - Carlos Alberto 16. Jailson Vilas Boas - Arrascaeta 17. Acosta - Arrascaeta 18. Alex Silva - Arrascaeta 19. Ramon Menezes - Carlos Alberto 20. Edu de Meneses - Carlos Alberto 21. Bruno Vicari - Arrascaeta 22. Brazão - Arrascaeta 23. Mari Pereira - Arrascaeta 24. Bremer - Carlos Alberto 25. Evair - Arrascaeta 26. Paulo André - Arrascaeta 27. André Plihal - Arrascaeta 28. Fernando - Carlos Alberto 29. Tartá - Carlos Alberto 30. Luisão - Carlos Alberto 31. Guilherme Amado - Arrascaeta 32. Odair Hellmann - Carlos Alberto 33. Zé Elias - Arrascaeta 34. Ferraresi - Arrascaeta 35. Gum - Carlos Alberto 36. Guilherme Torres - Carlos Alberto 37. Joel Santana - pulou 38. Marçal - Arrascaeta 39. Julio Cesar - Arrascaeta 40. Radamés - Carlos Alberto 41. Maxwell - Carlos Alberto 42. Gustavo Zupak - Arrascaeta 43. Ivana Negrão - Arrascaeta 44. Elton Serra - Arrascaeta 45. Eugenio Leal - Arrascaeta 46. Osvaldo Pascoal - Carlos Alberto 47. Edson - Arrascaeta 48. Rossi - Arrascaeta 49. Moisés - Arrascaeta 50. Mozart - Carlos Alberto 51. Sara - Arrascaeta 52. Vagner Mancini - Carlos Alberto 53. Marcelo de Lima Henrique - Arrascaeta 54. Leonardo Bertozzi - Arrascaeta 55. Edu Elias - Arrascaeta 56. Renato Paiva - Arrascaeta 57. Paulo Calçade - Arrascaeta 58. Pedro Ivo Almeida - Arrascaeta 59. Yasmin Torres - Arrascaeta 60. William - Arrascaeta 61. Breiller Pires - Arrascaeta 62. Vitor Birner - Arrascaeta 63. Caio Alves - Arrascaeta 64. Elaine Trevisan - Arrascaeta 65. William Tavares - Arrascaeta 66. Daniel Bocatto - Arrascaeta 67. Alex Tseng - Arrascaeta 68. Luciano Amaral - Arrascaeta 69. Deivis - Arrascaeta 70. André Galindo - Arrascaeta 71. Antonio Marcos - Arrascaeta 72. Celso Ardengh - Arrascaeta 73. Chico Jubé - Arrascaeta 74. Dimas Coppede - Arrascaeta 75. Fabrício Bosio - Carlos Alberto 76. Fefux Ribeiro - Arrascaeta 77. Felipe Silva - Arrascaeta 78. Fernando Nardini - Arrascaeta 79. Francisco De Laurentiis - Arrascaeta 80. Hamilton Rodrigues - pulou 81. Hugo Botelho - Arrascaeta 82. João Gonzales - Arrascaeta 83. Marcos Almeida - Arrascaeta 84. Mario Marra - Arrascaeta 85. Matheus Pinheiro - Arrascaeta 86. Matheus Raymundo - Arrascaeta 87. Matheus Suman - Arrascaeta 88. Mendel Bydlowski - Arrascaeta 89. Milla Garcia - Arrascaeta 90. Rafael Valente - Arrascaeta 91. Raphael Prates - Arrascaeta 92. Renan do Couto - Arrascaeta 93. Ricardo Santiago - Arrascaeta 94. Ricardo Spinelli - Arrascaeta 95. Rodrigo Bueno - Arrascaeta 96. Thiago Alves - Arrascaeta 97. Thiago Simões - Arrascaeta 98. Ubiratan Leal - Arrascaeta 99. Vinicius Fernandes - Arrascaeta 100. Vinicius Moura - Arrascaeta O meia do Flamengo recebeu 77 dos 100 votos disponíveis. Por outro lado, Carlos Alberto ganhou 21. 🎥ESPN Brasil

Arrascaeta x Carlos Alberto: quem jogou mais no auge? A ESPN convidou 100 especialistas para falar sobre o assunto e a reposta foi essa: 1. Renato Augusto - Carlos Alberto 2. Róger Guedes - Carlos Alberto 3. Perdigão - Carlos Alberto 4. Hugo Souza - Arrascaeta 5. André Kfouri - Arrascaeta 6. Oscar - Arrascaeta 7. Jô - Carlos Alberto 8. Felipe Vizeu - Arrascaeta 9. André Hernan - Arrascaeta 10. Abel Braga - Arrascaeta 11. Alexsandro - Arrascaeta 12. Danilo - Arrascaeta 13. Dagoberto - Arrascaeta 14. Luizão - Carlos Alberto 15. Walter - Carlos Alberto 16. Jailson Vilas Boas - Arrascaeta 17. Acosta - Arrascaeta 18. Alex Silva - Arrascaeta 19. Ramon Menezes - Carlos Alberto 20. Edu de Meneses - Carlos Alberto 21. Bruno Vicari - Arrascaeta 22. Brazão - Arrascaeta 23. Mari Pereira - Arrascaeta 24. Bremer - Carlos Alberto 25. Evair - Arrascaeta 26. Paulo André - Arrascaeta 27. André Plihal - Arrascaeta 28. Fernando - Carlos Alberto 29. Tartá - Carlos Alberto 30. Luisão - Carlos Alberto 31. Guilherme Amado - Arrascaeta 32. Odair Hellmann - Carlos Alberto 33. Zé Elias - Arrascaeta 34. Ferraresi - Arrascaeta 35. Gum - Carlos Alberto 36. Guilherme Torres - Carlos Alberto 37. Joel Santana - pulou 38. Marçal - Arrascaeta 39. Julio Cesar - Arrascaeta 40. Radamés - Carlos Alberto 41. Maxwell - Carlos Alberto 42. Gustavo Zupak - Arrascaeta 43. Ivana Negrão - Arrascaeta 44. Elton Serra - Arrascaeta 45. Eugenio Leal - Arrascaeta 46. Osvaldo Pascoal - Carlos Alberto 47. Edson - Arrascaeta 48. Rossi - Arrascaeta 49. Moisés - Arrascaeta 50. Mozart - Carlos Alberto 51. Sara - Arrascaeta 52. Vagner Mancini - Carlos Alberto 53. Marcelo de Lima Henrique - Arrascaeta 54. Leonardo Bertozzi - Arrascaeta 55. Edu Elias - Arrascaeta 56. Renato Paiva - Arrascaeta 57. Paulo Calçade - Arrascaeta 58. Pedro Ivo Almeida - Arrascaeta 59. Yasmin Torres - Arrascaeta 60. William - Arrascaeta 61. Breiller Pires - Arrascaeta 62. Vitor Birner - Arrascaeta 63. Caio Alves - Arrascaeta 64. Elaine Trevisan - Arrascaeta 65. William Tavares - Arrascaeta 66. Daniel Bocatto - Arrascaeta 67. Alex Tseng - Arrascaeta 68. Luciano Amaral - Arrascaeta 69. Deivis - Arrascaeta 70. André Galindo - Arrascaeta 71. Antonio Marcos - Arrascaeta 72. Celso Ardengh - Arrascaeta 73. Chico Jubé - Arrascaeta 74. Dimas Coppede - Arrascaeta 75. Fabrício Bosio - Carlos Alberto 76. Fefux Ribeiro - Arrascaeta 77. Felipe Silva - Arrascaeta 78. Fernando Nardini - Arrascaeta 79. Francisco De Laurentiis - Arrascaeta 80. Hamilton Rodrigues - pulou 81. Hugo Botelho - Arrascaeta 82. João Gonzales - Arrascaeta 83. Marcos Almeida - Arrascaeta 84. Mario Marra - Arrascaeta 85. Matheus Pinheiro - Arrascaeta 86. Matheus Raymundo - Arrascaeta 87. Matheus Suman - Arrascaeta 88. Mendel Bydlowski - Arrascaeta 89. Milla Garcia - Arrascaeta 90. Rafael Valente - Arrascaeta 91. Raphael Prates - Arrascaeta 92. Renan do Couto - Arrascaeta 93. Ricardo Santiago - Arrascaeta 94. Ricardo Spinelli - Arrascaeta 95. Rodrigo Bueno - Arrascaeta 96. Thiago Alves - Arrascaeta 97. Thiago Simões - Arrascaeta 98. Ubiratan Leal - Arrascaeta 99. Vinicius Fernandes - Arrascaeta 100. Vinicius Moura - Arrascaeta O meia do Flamengo recebeu 77 dos 100 votos disponíveis. Por outro lado, Carlos Alberto ganhou 21. 🎥ESPN Brasil

LIBERTA DEPRE

114,803 Aufrufe • vor 6 Monaten

For decades, the global silver market operated on a simple assumption: Nobody would actually demand delivery of the metal they owned on paper. That assumption just collapsed. In the first seven days of January, 33.45 million ounces of silver were physically withdrawn from COMEX for delivery. That's 26% of COMEX's registered inventory gone in a single week. Traders who had March futures contracts were paying premiums to ROLL BACKWARDS to January, demanding immediate delivery weeks early. They weren't willing to wait. They wanted metal in hand. Here's the China problem you have to understand if you're buying silver: On January 1, 2026, Beijing implemented export controls that fundamentally changed global silver supply. This wasn't a minor tweak. They reclassified silver as a strategic material, putting it in the same category as rare earths. To export silver from China now, companies need government licenses. Only 44 firms qualified. They must have annual refining capacity of 80+ tonnes and credit lines exceeding $30 million. Why does this matter? China controls 60-70% of global refined silver exports. The world's dominant refining hub just effectively ring-fenced its supply for domestic use. The physical-paper divergence: Here's where it gets uncomfortable... In Shanghai, physical silver trades at 12-13% premiums over Western paper prices. In Dubai, premiums hit 40%. In Japan, secondary market premiums reached 60%. Meanwhile, the paper-to-physical ratio on COMEX sits at 356:1. For every one ounce of deliverable silver, there are 356 ounces of paper claims. The system worked because nobody called the bluff. But now they're calling it. The supply deficit reality: The silver market has been in structural deficit for five consecutive years. Cumulative shortfalls from 2021-2025 total roughly 820 million ounces. Nearly an entire year of global mine production. Mine production peaked in 2016. Roughly 71% of mined silver comes as a byproduct from gold, copper, lead, and zinc mines. So even if silver prices double, miners can't easily ramp production. Their operations are driven by base-metal economics, not silver prices. The industrial demand trap: Unlike gold, silver isn't primarily a monetary metal. Industrial demand now represents 59% of total consumption. Solar panels. EVs. AI data centers. Semiconductors. This demand is price-inelastic. Factories don't stop production because silver got expensive... They pay whatever it takes to keep lines running. So what does this mean? Silver is now in backwardation. Spot prices above futures prices. That's rare. And it's significant. Backwardation tells you buyers want metal NOW, not paper promises for later. The last time silver showed this kind of sustained backwardation was before the 2011 spike to $49. The gold-silver ratio has compressed from over 100:1 in recent years to around 50:1 now. Historically, that ratio has traded as low as 15-20:1 in extreme moves. If gold holds and the ratio compresses further, silver will go beyond $150. It's math. My take: Silver is no longer just an industrial metal with monetary characteristics. It's becoming a triple-identity asset: industrial input, monetary metal, and strategic material. When China weaponizes export controls, when Western inventories drain, when paper claims vastly exceed physical supply, and when industrial demand is non-negotiable, you get exactly what we're seeing... A structural repricing. Pullbacks will be sharp. The CME has already raised margin requirements. But the underlying dynamics aren't speculation. They're geology, geopolitics, and supply-demand math. Physical silver in your possession has no counterparty risk. Paper claims on silver that may or may not exist? That's a different bet entirely. If you don't hold it, you don't own it.

For decades, the global silver market operated on a simple assumption: Nobody would actually demand delivery of the metal they owned on paper. That assumption just collapsed. In the first seven days of January, 33.45 million ounces of silver were physically withdrawn from COMEX for delivery. That's 26% of COMEX's registered inventory gone in a single week. Traders who had March futures contracts were paying premiums to ROLL BACKWARDS to January, demanding immediate delivery weeks early. They weren't willing to wait. They wanted metal in hand. Here's the China problem you have to understand if you're buying silver: On January 1, 2026, Beijing implemented export controls that fundamentally changed global silver supply. This wasn't a minor tweak. They reclassified silver as a strategic material, putting it in the same category as rare earths. To export silver from China now, companies need government licenses. Only 44 firms qualified. They must have annual refining capacity of 80+ tonnes and credit lines exceeding $30 million. Why does this matter? China controls 60-70% of global refined silver exports. The world's dominant refining hub just effectively ring-fenced its supply for domestic use. The physical-paper divergence: Here's where it gets uncomfortable... In Shanghai, physical silver trades at 12-13% premiums over Western paper prices. In Dubai, premiums hit 40%. In Japan, secondary market premiums reached 60%. Meanwhile, the paper-to-physical ratio on COMEX sits at 356:1. For every one ounce of deliverable silver, there are 356 ounces of paper claims. The system worked because nobody called the bluff. But now they're calling it. The supply deficit reality: The silver market has been in structural deficit for five consecutive years. Cumulative shortfalls from 2021-2025 total roughly 820 million ounces. Nearly an entire year of global mine production. Mine production peaked in 2016. Roughly 71% of mined silver comes as a byproduct from gold, copper, lead, and zinc mines. So even if silver prices double, miners can't easily ramp production. Their operations are driven by base-metal economics, not silver prices. The industrial demand trap: Unlike gold, silver isn't primarily a monetary metal. Industrial demand now represents 59% of total consumption. Solar panels. EVs. AI data centers. Semiconductors. This demand is price-inelastic. Factories don't stop production because silver got expensive... They pay whatever it takes to keep lines running. So what does this mean? Silver is now in backwardation. Spot prices above futures prices. That's rare. And it's significant. Backwardation tells you buyers want metal NOW, not paper promises for later. The last time silver showed this kind of sustained backwardation was before the 2011 spike to $49. The gold-silver ratio has compressed from over 100:1 in recent years to around 50:1 now. Historically, that ratio has traded as low as 15-20:1 in extreme moves. If gold holds and the ratio compresses further, silver will go beyond $150. It's math. My take: Silver is no longer just an industrial metal with monetary characteristics. It's becoming a triple-identity asset: industrial input, monetary metal, and strategic material. When China weaponizes export controls, when Western inventories drain, when paper claims vastly exceed physical supply, and when industrial demand is non-negotiable, you get exactly what we're seeing... A structural repricing. Pullbacks will be sharp. The CME has already raised margin requirements. But the underlying dynamics aren't speculation. They're geology, geopolitics, and supply-demand math. Physical silver in your possession has no counterparty risk. Paper claims on silver that may or may not exist? That's a different bet entirely. If you don't hold it, you don't own it.

George Noble

447,837 Aufrufe • vor 5 Monaten

1 Oktober 2022 - 1 Oktober 2023 1 tahun tragedi Kanjuruhan Al Fatihah untuk para korban: 1. Muchamad Arifin 2. Moch Hashfi Al Wafi 3. Roni Setyawan Rizki Ramadan 4. Anggraeni Dwi Kurniasari 5. Viky Rohibala 6. Iwan Junaedi 7. Faiqotul Hikmah 8. Fillah Aziz Firmansyah 9. Elisabeth Agustin 10. Moh Rizki Darmawan 11. Gilang Surya Ramadani 12. Anik Hariani 13. Setyohadi Kurniawan 14. Hutriadi Hermanto 15. Ahmad Wahyudi 16. Jefri Ichlasul Amal 17. Ahmad Dani Safarudin 18. Moch. Tegar Ardian 19. Arnol 20. Moch. Adib Husni 21. Muhammad Noval 22. Eko Viki Sulistyo 23. Hadiyatus Tsaniyah 24. Muhammad Ubaidillah 25. Alfinia Maharani Putri 26. Muhammad Teguh Wahyudi 27. Moh Bintang Pratama 28. Gebi Asta Putri Purwoko 29. Natasya Debi Ramadhani 30. Evi Nur Rosidah 31. Naila Debi Anggraini 32. Hendrik Gunawan 33. Radina Astrida Lutfitasar 34. Muhammad Hafizh Aprilianto 35. Audi Nesia Alfiari 36. Shifwa Dinar Artamevia 37. Bregi Andri Kusuma Anggi 38. Agus Riansyahpratama Putra 39. Gabriel Fernanda Yuda 40. Ratna Indriyani 41. Firman Nur Abidin 42. Muhamad Rizal Ilhamin 43. Gebby Setyawardana 44. Moh. Irsyad Al Juned 45. Citra Ayu Amelia 46. Salsa Yonas Octavia 47. Yohanes Revano Prasetyo 48. Munifa Latiful Iksan 49. Wildan Ramadani 50. Abian Hasyi Rifki 51. Andika Bayu Pradana 52. Afrilila Tri Putra 53. Revanya Salwa Syahral 54. Fajar Yoyok 55. Andik Purwanto 56. Syahrulloh 57. Indhi Rahma Putri 58. Muh. Virdy Prayoga 59. Klarista Disca Saputri 60. Herlangga Aditama 61. Lutvia Damayanti 62. Mochamad Ali Muhtar 63. Nafisatul Mukhoyaroh 64. El Vidually 65. Sandi Sanjaya 66. Muhammad Mustofa 67. M. Rian Fauzi 68. Kaka Widad Samdya Adabi 69. Hadinata 70. Angger Aditya Permana 71. Linda Setya Restu Ningrat 72. Lamhadi Irawan 73. Wahyu Nur Utomo 74. Ach Nur Cahyo 75. Achmad Husen Rahmadani 76. Riyo Edit Setyawan 77. M. Ari Maulani 78. Rudi Hariyanto 79. Pratiwi 80. Septian Ragil Syahputra 81. Muhammad Khoirul Huda 83. Yunia 83. Dafa Yunanto 84. Putri Lestari 85. Hindun Diana 86. Muhammad Nizamudin 87. Yanuar Dwi Bramantyo 88. Muhamad Hendra Wahyu Zaenal Arifin 89. Faiz Al Fikri 90. Muh. Akbar Raihan Firdaus 91. Mochammad Rifky Aditya A 92. Handika Rizky Triono 93. Ria Amalia Putri 94. Abdan Ageng Fauzan 95. M. Farel Aljanadi 96. Moh Kindi Arrumi 97. Devi Ratnasari 98. Much Yulianton 99. Najwa Zalfa Abdillah 100. Angga Frasdiansyah 101. Muh. Febriansyah 102. Noval Setyo Budi 103. Aditya Dimas Pratama 104. Daffa Fakhrudin Wijaya 105. Riyan 106. Muh. Mungizul Hidayatullah 107. Aura Maulida Fitria Aisya 108. Mayang Agustin 109. Eka Putri Mei Wulandari 110. Rizky Dwi 111. Rizky Wahyudi 112. Ahmad Fajar Khoiron 113. Ibnu Muhammad Rafi 114. Yulio Dini Prastiawan 115. Hildan Agit Agista 116. Bahrul Ulum 117. Muhammad Heikal 118. M. Nailul Author 119. Kusaini 120. Jovan Farellino Yuseifa Pratama Putra 121. Riyang Ambarwati 122. Hafiska Dwi Aninditya 123. Muhammad Ilham Sabilillah 124. Vera Puspita Ayu 125. Nova Setyarahayu 126. Muhammad Haikal Maulana 127. M. Andre Ramadhan 128. Mita Maulidya 129. Anggara Putra Pratama 130. Astrid Nafisa Putri Subagio 131. Hermawan Effendi 132.Hellen Prisela 133. Andi Setiawan 134. Reyvano Dwi Afriansyah 135. Farza Dwi Kurniawan

1 Oktober 2022 - 1 Oktober 2023 1 tahun tragedi Kanjuruhan Al Fatihah untuk para korban: 1. Muchamad Arifin 2. Moch Hashfi Al Wafi 3. Roni Setyawan Rizki Ramadan 4. Anggraeni Dwi Kurniasari 5. Viky Rohibala 6. Iwan Junaedi 7. Faiqotul Hikmah 8. Fillah Aziz Firmansyah 9. Elisabeth Agustin 10. Moh Rizki Darmawan 11. Gilang Surya Ramadani 12. Anik Hariani 13. Setyohadi Kurniawan 14. Hutriadi Hermanto 15. Ahmad Wahyudi 16. Jefri Ichlasul Amal 17. Ahmad Dani Safarudin 18. Moch. Tegar Ardian 19. Arnol 20. Moch. Adib Husni 21. Muhammad Noval 22. Eko Viki Sulistyo 23. Hadiyatus Tsaniyah 24. Muhammad Ubaidillah 25. Alfinia Maharani Putri 26. Muhammad Teguh Wahyudi 27. Moh Bintang Pratama 28. Gebi Asta Putri Purwoko 29. Natasya Debi Ramadhani 30. Evi Nur Rosidah 31. Naila Debi Anggraini 32. Hendrik Gunawan 33. Radina Astrida Lutfitasar 34. Muhammad Hafizh Aprilianto 35. Audi Nesia Alfiari 36. Shifwa Dinar Artamevia 37. Bregi Andri Kusuma Anggi 38. Agus Riansyahpratama Putra 39. Gabriel Fernanda Yuda 40. Ratna Indriyani 41. Firman Nur Abidin 42. Muhamad Rizal Ilhamin 43. Gebby Setyawardana 44. Moh. Irsyad Al Juned 45. Citra Ayu Amelia 46. Salsa Yonas Octavia 47. Yohanes Revano Prasetyo 48. Munifa Latiful Iksan 49. Wildan Ramadani 50. Abian Hasyi Rifki 51. Andika Bayu Pradana 52. Afrilila Tri Putra 53. Revanya Salwa Syahral 54. Fajar Yoyok 55. Andik Purwanto 56. Syahrulloh 57. Indhi Rahma Putri 58. Muh. Virdy Prayoga 59. Klarista Disca Saputri 60. Herlangga Aditama 61. Lutvia Damayanti 62. Mochamad Ali Muhtar 63. Nafisatul Mukhoyaroh 64. El Vidually 65. Sandi Sanjaya 66. Muhammad Mustofa 67. M. Rian Fauzi 68. Kaka Widad Samdya Adabi 69. Hadinata 70. Angger Aditya Permana 71. Linda Setya Restu Ningrat 72. Lamhadi Irawan 73. Wahyu Nur Utomo 74. Ach Nur Cahyo 75. Achmad Husen Rahmadani 76. Riyo Edit Setyawan 77. M. Ari Maulani 78. Rudi Hariyanto 79. Pratiwi 80. Septian Ragil Syahputra 81. Muhammad Khoirul Huda 83. Yunia 83. Dafa Yunanto 84. Putri Lestari 85. Hindun Diana 86. Muhammad Nizamudin 87. Yanuar Dwi Bramantyo 88. Muhamad Hendra Wahyu Zaenal Arifin 89. Faiz Al Fikri 90. Muh. Akbar Raihan Firdaus 91. Mochammad Rifky Aditya A 92. Handika Rizky Triono 93. Ria Amalia Putri 94. Abdan Ageng Fauzan 95. M. Farel Aljanadi 96. Moh Kindi Arrumi 97. Devi Ratnasari 98. Much Yulianton 99. Najwa Zalfa Abdillah 100. Angga Frasdiansyah 101. Muh. Febriansyah 102. Noval Setyo Budi 103. Aditya Dimas Pratama 104. Daffa Fakhrudin Wijaya 105. Riyan 106. Muh. Mungizul Hidayatullah 107. Aura Maulida Fitria Aisya 108. Mayang Agustin 109. Eka Putri Mei Wulandari 110. Rizky Dwi 111. Rizky Wahyudi 112. Ahmad Fajar Khoiron 113. Ibnu Muhammad Rafi 114. Yulio Dini Prastiawan 115. Hildan Agit Agista 116. Bahrul Ulum 117. Muhammad Heikal 118. M. Nailul Author 119. Kusaini 120. Jovan Farellino Yuseifa Pratama Putra 121. Riyang Ambarwati 122. Hafiska Dwi Aninditya 123. Muhammad Ilham Sabilillah 124. Vera Puspita Ayu 125. Nova Setyarahayu 126. Muhammad Haikal Maulana 127. M. Andre Ramadhan 128. Mita Maulidya 129. Anggara Putra Pratama 130. Astrid Nafisa Putri Subagio 131. Hermawan Effendi 132.Hellen Prisela 133. Andi Setiawan 134. Reyvano Dwi Afriansyah 135. Farza Dwi Kurniawan

Jejak digital.

469,513 Aufrufe • vor 2 Jahren

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.

Milk Road AI

138,663 Aufrufe • vor 1 Monat

Se va a hacer un sorteo para Zeus para ayuda para pagarle una residencia con etólogo y gastos veterinarios porque lo necesita 🙏 De cachorro le maltrataron tan gravemente muy malas personas que después de terminar en una perrera y ser adoptado no pudo ser y ha pasado de residencia en residencia, de jaula en jaula 💔 😢 😭 😞 Pondré los números y quien quiera puede coger alguno o ayudar desde fuera o entrar al grupo de madrinas para ayuda porque son 250 al mes más todos los gastos veterinarios 😞🙏 Copio : Abrimos sorteo a favor de Zeus, un perrito de 8 años que ha sido abandonado dos veces y que necesita ayuda para volver a confiar. El dinero del sorteo se destinará a para pagar su residencia, el etólogo y todos los gastos que tenga durante los próximos meses Se sortean 3 decimos de la Loteria de Navidad con los números: 63.531 34.146 90.753 Habrá 300 números a 3€ el numero Bizum 661159705 Concepto SORTEO ZEUS 1 Susy 2 Carmen 3 Begoña (Sofía) 4 Soledad 5 Angelina 6 Carmen 7Carmen 8 Sofía L 9 10 Soledad 11 12 13 14 Domingo (Sofía) 15 16 Sofia L 17 18 Soledad 19 20 21 22 Sonia (Sofia) 23 Carmen 24 25 26 Susy 27 Angelina 28 Soledad 29 Carmen 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51Susy 52 Carmen TO 53 54 55 56 57 58 59 60 61 62 63 Susy 64 65 66 67 68 69 70 71 72 73 Carmen TO 74 75 76 Susy 77 78 79 80 81 82 Ana C (Sofia) 83 84 85 Angelina 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 Ana C (Sofia) 106 107 108 109 Javier V(Sofia) 110 111 112 113 114 115 116 117 Cecilia 118 119 120 121 122 123 Consta (Sofía) 124 125 126 127 128 129 130 131 132 133 Susy 134 135 136 137 Silvia 138 139 Sofía L 140 141 142 143 144 145 146 147 148 149 150 Angelina 151 152 153 154 155 156 Silvia 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 Alvaro D (Sofia) 186 Susy 187 188 189 190 191 192 193 194 Susy 195 196 197 Cristina Rodiño 198 Angelina 199 200 201 202 203 204 205 206 207 208 209 210 211 Susy 212 213 214 215 Angelina 216 217 218 219 Carmen TO 220 221 222 223 224 225 226 227 228 229 Sonia (Sofia) 230 231 232 Silvia 233 234 235 Susy 236 237 238 239 Flor (Sofia) 240 Susy 241 242 243 244 245 246 Cecilia 247 248 249 250 251 252 Angelina 253 254 255 256 257 258 259 260 261 262 263 264 265 Cecilia 266 267 268 Angelina 269 270 271 272 273 274 275 Susy 276 Angelina 277 278 279 280 Cristina Rodiño 281 Cecilia 282 283 284 285 Tomas (Sofia) 286 287 288 Susy 289 290 291 292 293 294 Angelina 295 296 297 298 299 Cecilia 300 Bizum de ayuda : +34 661 15 97 05 Enlace al grupo de madrinas :

Se va a hacer un sorteo para Zeus para ayuda para pagarle una residencia con etólogo y gastos veterinarios porque lo necesita 🙏 De cachorro le maltrataron tan gravemente muy malas personas que después de terminar en una perrera y ser adoptado no pudo ser y ha pasado de residencia en residencia, de jaula en jaula 💔 😢 😭 😞 Pondré los números y quien quiera puede coger alguno o ayudar desde fuera o entrar al grupo de madrinas para ayuda porque son 250 al mes más todos los gastos veterinarios 😞🙏 Copio : Abrimos sorteo a favor de Zeus, un perrito de 8 años que ha sido abandonado dos veces y que necesita ayuda para volver a confiar. El dinero del sorteo se destinará a para pagar su residencia, el etólogo y todos los gastos que tenga durante los próximos meses Se sortean 3 decimos de la Loteria de Navidad con los números: 63.531 34.146 90.753 Habrá 300 números a 3€ el numero Bizum 661159705 Concepto SORTEO ZEUS 1 Susy 2 Carmen 3 Begoña (Sofía) 4 Soledad 5 Angelina 6 Carmen 7Carmen 8 Sofía L 9 10 Soledad 11 12 13 14 Domingo (Sofía) 15 16 Sofia L 17 18 Soledad 19 20 21 22 Sonia (Sofia) 23 Carmen 24 25 26 Susy 27 Angelina 28 Soledad 29 Carmen 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51Susy 52 Carmen TO 53 54 55 56 57 58 59 60 61 62 63 Susy 64 65 66 67 68 69 70 71 72 73 Carmen TO 74 75 76 Susy 77 78 79 80 81 82 Ana C (Sofia) 83 84 85 Angelina 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 Ana C (Sofia) 106 107 108 109 Javier V(Sofia) 110 111 112 113 114 115 116 117 Cecilia 118 119 120 121 122 123 Consta (Sofía) 124 125 126 127 128 129 130 131 132 133 Susy 134 135 136 137 Silvia 138 139 Sofía L 140 141 142 143 144 145 146 147 148 149 150 Angelina 151 152 153 154 155 156 Silvia 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 Alvaro D (Sofia) 186 Susy 187 188 189 190 191 192 193 194 Susy 195 196 197 Cristina Rodiño 198 Angelina 199 200 201 202 203 204 205 206 207 208 209 210 211 Susy 212 213 214 215 Angelina 216 217 218 219 Carmen TO 220 221 222 223 224 225 226 227 228 229 Sonia (Sofia) 230 231 232 Silvia 233 234 235 Susy 236 237 238 239 Flor (Sofia) 240 Susy 241 242 243 244 245 246 Cecilia 247 248 249 250 251 252 Angelina 253 254 255 256 257 258 259 260 261 262 263 264 265 Cecilia 266 267 268 Angelina 269 270 271 272 273 274 275 Susy 276 Angelina 277 278 279 280 Cristina Rodiño 281 Cecilia 282 283 284 285 Tomas (Sofia) 286 287 288 Susy 289 290 291 292 293 294 Angelina 295 296 297 298 299 Cecilia 300 Bizum de ayuda : +34 661 15 97 05 Enlace al grupo de madrinas :

silvia mensegar

29,723 Aufrufe • vor 7 Monaten

Foi divulgada uma nova lista das "100 Melhores Músicas de Anime Japonês" Mais de 166 profissionais da música de vários países do mundo participaram da votação. 1. Neon Genesis Evangelion – A Cruel Angel's Thesis 2. Naruto: Shippuden – Blue Bird 3. Dragon Ball Z – CHA-LA HEAD-CHA-LA 4. Demon Slayer: Kimetsu no Yaiba – Gurenge 5. Sailor Moon – Moonlight Densetsu 6. Tetsujin 28-go – Tetsujin 28-go 7. Astro Boy – Astro Boy 8. Your Name. – Zenzenzense 9. One Piece – We Are! 10. A Viagem de Chihiro – Always with Me 11. Oshi no Ko – Idol 12. Attack on Titan – Guren no Yumiya 13. Mashle: Magic and Muscles – Bling-Bang-Bang-Born 14. GeGeGe no Kitaro – GeGeGe no Kitaro 15. Q-Taro the Ghost – Obake no Q-taro 16. Chainsaw Man – KICK BACK 17. Nausicaä do Vale do Vento – Kaze no Tani no Nausicaä 18. Ponyo – Gake no Ue no Ponyo 19. Sally, a bruxinha – Mahou Tsukai Sally no Uta 20. Meu Amigo Totoro – Sanpo 21. Lupin the Third – Lupin III Theme 22. Dandadan – Otonoke 23. Perman – Bokura no Perman 24. Anpanman – Anpanman no March 25. Doraemon – Niji 26. Pokémon – Mezase Pokémon Master 27. Himitsu no Akko-chan – Himitsu no Akko-chan 28. Space Battleship Yamato – Uchuu Senkan Yamato 29. My Hero Academia – Peace Sign 30. Demon Slayer: Kimetsu no Yaiba (Entertainment District Arc) – Zankyousanka 31. Sazae-san – Sazae-san Ikka 32. Star of the Giants – Ike Ike Hyuuma 33. Doraemon – Boku Doraemon 34. SPY×FAMILY – Mixed Nuts 35. Castelo no Céu – Kimi o Nosete 36. Rurouni Kenshin – Sobakasu 37. Princesa Mononoke – Mononoke Hime 38. Dragon Ball – Makafushigi Adventure! 39. Mazinger Z – Mazinger Z 40. Moomin – Nee! Moomin 41. Demon Slayer: Kimetsu no Yaiba (Mugen Train) – Homura 42. Jujutsu Kaisen – Where Our Blue Is (Ao no Sumika) 43. Attack No.1 – Attack No.1 44. Cat's Eye – Cat's Eye 45. Doraemon – Himawari no Yakusoku 46. Serviços de Entregas da Kiki – Yasashisa ni Tsutsumareta nara 47. Galaxy Express 999 – Ginga Tetsudou 999 48. Serviços de Entregas da Kiki – Rouge no Dengon 49. Detective Conan – Nazo 50. Fire Force – Inferno 51. BEASTARS – Kaibutsu 52. Manga Nippon Mukashi Banashi – Nippon Mukashi Banashi 53. Mobile Suit Gundam – Tobe! Gundam 54. Detective Conan – Utsukushii Hire 55. Candy Candy – Candy Candy 56. Rosa de Versailles – Bara wa Utsukushiku Chiru 57. Ashita no Joe – Ashita no Joe 58. The End of Evangelion – Tamashii no Rufuran 59. Diários de uma Apotecária– Hana ni Natte 60. Oblivion Battery – Lilac 61. Fist of the North Star – Ai wo Torimodose!! 62. Touch – Touch 63. Sussurro do Coração – Country Road 64. Cutie Honey – Cutie Honey 65. Aim for the Ace! – Ace wo Nerae! 66. Captain Tsubasa – Moete Hero 67. Haikyuu!! – Orange 68. Hutch the Honeybee – Minashigo Hatchi 69. One Piece Film: Red – Shin Jidai 70. Gatchaman – Gatchaman no Uta 71. City Hunter – Get Wild 72. Slam Dunk – Sekai ga Owaru made wa... 73. Chibi Maruko-chan – Odoru Ponpokorin 74. Chainsaw Man – Chu, Tayousei. 75. Naruto: Shippuden – Silhouette 76. Tokyo Revengers – Cry Baby 77. The Melancholy of Haruhi Suzumiya – God knows... 78. Dragon Ball Super – Limit-Break x Survivor 79. Kiteretsu Encyclopedia – Hajimete no Chuu 80. Kinnikuman – Kinnikuman Go Fight! 81. Perman – Kite yo Perman 82. Attack on Titan – Shinzou wo Sasageyo! 83. Ninja Hattori-kun – Ninja Hattori-kun 84. Naruto – GO!!! 85. Crayon Shin-chan – RPG 86. Cowboy Bebop – Tank! 87. Slam Dunk – Kimi ga Suki da to Sakebitai 88. Fireworks – Uchiage Hanabi 89. Death Note – the WORLD 90. Miyuki – Omoide ga Ippai 91. K-On! – Fuwa Fuwa Time 92. Princess Mononoke – Ashitaka Sekki 93. The Tale of the Heike – Hikaru Toki 94. Higurashi When They Cry – Higurashi no Naku Koro ni 95. Fist of the North Star – Yuria... Eien ni 96. Fullmetal Alchemist – LET IT OUT 97. Yu Yu Hakusho – Hohoemi no Bakudan 98. Dororo – Dororo no Uta 99. Fairy Tail – ft. 100. Dragon Ball GT – DAN DAN Kokoro Hikareteku

Foi divulgada uma nova lista das "100 Melhores Músicas de Anime Japonês" Mais de 166 profissionais da música de vários países do mundo participaram da votação. 1. Neon Genesis Evangelion – A Cruel Angel's Thesis 2. Naruto: Shippuden – Blue Bird 3. Dragon Ball Z – CHA-LA HEAD-CHA-LA 4. Demon Slayer: Kimetsu no Yaiba – Gurenge 5. Sailor Moon – Moonlight Densetsu 6. Tetsujin 28-go – Tetsujin 28-go 7. Astro Boy – Astro Boy 8. Your Name. – Zenzenzense 9. One Piece – We Are! 10. A Viagem de Chihiro – Always with Me 11. Oshi no Ko – Idol 12. Attack on Titan – Guren no Yumiya 13. Mashle: Magic and Muscles – Bling-Bang-Bang-Born 14. GeGeGe no Kitaro – GeGeGe no Kitaro 15. Q-Taro the Ghost – Obake no Q-taro 16. Chainsaw Man – KICK BACK 17. Nausicaä do Vale do Vento – Kaze no Tani no Nausicaä 18. Ponyo – Gake no Ue no Ponyo 19. Sally, a bruxinha – Mahou Tsukai Sally no Uta 20. Meu Amigo Totoro – Sanpo 21. Lupin the Third – Lupin III Theme 22. Dandadan – Otonoke 23. Perman – Bokura no Perman 24. Anpanman – Anpanman no March 25. Doraemon – Niji 26. Pokémon – Mezase Pokémon Master 27. Himitsu no Akko-chan – Himitsu no Akko-chan 28. Space Battleship Yamato – Uchuu Senkan Yamato 29. My Hero Academia – Peace Sign 30. Demon Slayer: Kimetsu no Yaiba (Entertainment District Arc) – Zankyousanka 31. Sazae-san – Sazae-san Ikka 32. Star of the Giants – Ike Ike Hyuuma 33. Doraemon – Boku Doraemon 34. SPY×FAMILY – Mixed Nuts 35. Castelo no Céu – Kimi o Nosete 36. Rurouni Kenshin – Sobakasu 37. Princesa Mononoke – Mononoke Hime 38. Dragon Ball – Makafushigi Adventure! 39. Mazinger Z – Mazinger Z 40. Moomin – Nee! Moomin 41. Demon Slayer: Kimetsu no Yaiba (Mugen Train) – Homura 42. Jujutsu Kaisen – Where Our Blue Is (Ao no Sumika) 43. Attack No.1 – Attack No.1 44. Cat's Eye – Cat's Eye 45. Doraemon – Himawari no Yakusoku 46. Serviços de Entregas da Kiki – Yasashisa ni Tsutsumareta nara 47. Galaxy Express 999 – Ginga Tetsudou 999 48. Serviços de Entregas da Kiki – Rouge no Dengon 49. Detective Conan – Nazo 50. Fire Force – Inferno 51. BEASTARS – Kaibutsu 52. Manga Nippon Mukashi Banashi – Nippon Mukashi Banashi 53. Mobile Suit Gundam – Tobe! Gundam 54. Detective Conan – Utsukushii Hire 55. Candy Candy – Candy Candy 56. Rosa de Versailles – Bara wa Utsukushiku Chiru 57. Ashita no Joe – Ashita no Joe 58. The End of Evangelion – Tamashii no Rufuran 59. Diários de uma Apotecária– Hana ni Natte 60. Oblivion Battery – Lilac 61. Fist of the North Star – Ai wo Torimodose!! 62. Touch – Touch 63. Sussurro do Coração – Country Road 64. Cutie Honey – Cutie Honey 65. Aim for the Ace! – Ace wo Nerae! 66. Captain Tsubasa – Moete Hero 67. Haikyuu!! – Orange 68. Hutch the Honeybee – Minashigo Hatchi 69. One Piece Film: Red – Shin Jidai 70. Gatchaman – Gatchaman no Uta 71. City Hunter – Get Wild 72. Slam Dunk – Sekai ga Owaru made wa... 73. Chibi Maruko-chan – Odoru Ponpokorin 74. Chainsaw Man – Chu, Tayousei. 75. Naruto: Shippuden – Silhouette 76. Tokyo Revengers – Cry Baby 77. The Melancholy of Haruhi Suzumiya – God knows... 78. Dragon Ball Super – Limit-Break x Survivor 79. Kiteretsu Encyclopedia – Hajimete no Chuu 80. Kinnikuman – Kinnikuman Go Fight! 81. Perman – Kite yo Perman 82. Attack on Titan – Shinzou wo Sasageyo! 83. Ninja Hattori-kun – Ninja Hattori-kun 84. Naruto – GO!!! 85. Crayon Shin-chan – RPG 86. Cowboy Bebop – Tank! 87. Slam Dunk – Kimi ga Suki da to Sakebitai 88. Fireworks – Uchiage Hanabi 89. Death Note – the WORLD 90. Miyuki – Omoide ga Ippai 91. K-On! – Fuwa Fuwa Time 92. Princess Mononoke – Ashitaka Sekki 93. The Tale of the Heike – Hikaru Toki 94. Higurashi When They Cry – Higurashi no Naku Koro ni 95. Fist of the North Star – Yuria... Eien ni 96. Fullmetal Alchemist – LET IT OUT 97. Yu Yu Hakusho – Hohoemi no Bakudan 98. Dororo – Dororo no Uta 99. Fairy Tail – ft. 100. Dragon Ball GT – DAN DAN Kokoro Hikareteku

Otakus Brasil 🍥

42,177 Aufrufe • vor 29 Tagen

#RDC: 100 OEUVRES MAJEURES DU PRÉSIDENT Félix A. Tshisekedi , parmi tant d’autres . 👇👇 I. #CONSTRUCTION DES #UNIVERSITÉS & #ÉCOLES 1. Université de Mbuji-Mayi 2. Université de Bunia 3. Université de Kananga 4. Université de Kolwezi 5. Rénovation de l’UNIKIN 6. Rénovation et extension de l'UPN 7. Rénovation et extension de l’INBTP 8. Plus de 600 écoles construites par le PDL-145T 9. Écoles et centres prof construit par le Service National. 10. Centre de formation de Maluku II. #HÔPITAUX ET #CENTRES DE #SANTÉ 11. Hôpital Gén Mama Yemo (Kinshasa) 12. Rénovation Hôpital de Réf Camp Kokolo 13. Rénovation Hôpital de Réf Camp Tshatshi 14. Hôpital Général de Kintambo 15. Rénovation Hôpital Général Sendwe 16. Hôpital CNSS (Lubumbashi) 17. Hôpital de la Muya (Mbuji-Mayi) 18. Hôpital Mwangeji (Kolwezi) 19. 357 centres de santé livrés (PDL-145T) 20. Modernisation de plusieurs hôpitaux provinciaux (Ituri, Haut-Uélé, Kasaï, Kongo-Central) III. #SPORTS, #CULTURE & #LOISIRS 21. Stade des Martyrs (rénové) 22. Stade Kibassa Maliba (Lubumbashi, rénové) 23. Stade Tata Raphaël (Rénovation) 24. Stade Sainte-Thérèse de Ndjili 25. Stade de foot et de basket UPN 26. Stade UNIKIN 27. Stade Lumumba (Matadi) 28. Arena de Kinshasa (palais omnisports) 29. Modernisation site de la FIKIN 30. Musée National de la RDC 31. Maison de l’Entrepreneuriat 32. Centre Culturel pour l’Afrique Centrale 33. Centre Financier de Kinshasa 34. Village des Congrès de Kolwezi. IV. #CONSTRUCTION #AÉROPORTS ET #PORTS 35. Aéro de Kisangani (livré) 36. Aéro de Kolwezi (livré) 37. Aéro de Mbuji-Mayi 38. Aéro de Kananga 39. Aéro de Bunia 40. Aéro de Boende 41. Aéro de Ndjili 42. Aéro de Lubumbashi (travaux d’extension) 43. Port en eau profonde de Banana 44. Modernisation du Port de Matadi 45. Fermeture des ports illégaux. V. #ENTREPRISES #PUBLIQUES 46. Nouveau siège de l’IGF 47. Siège rénové de la CENAREF 48. Rénovation et modernisation de la SNCC 49. Réévaluation des actifs de la Gécamines (+3 milliards $ récupérés) 50. Rénovation de l’ONATRA 51. Réhabilitation du Service National 52. Usine de traitement d’eau de Lemba-Imbu 53. Usine de traitement d’eau de Binza-Ozone 54. Centrale hydroélectrique de Busanga (Lualaba) 55. Sous-station électrique de Samukinda (Lualaba) 56. Centrale solaire de Menkao 57. Assemblée Provinciale de Lubumbashi 58. Usine de production du Zinc KICO (Kipushi) 59. Marché central de Kinshasa 60. Marché moderne de Tshikapa 61. Prison centrale de Makala (extension) 62. Nouveaux bâtiments administratifs et salle polyvalente du Gouvernorat du Lualaba VI. #RECORDS #FINANCIERS 63. Budget national passé de 4 mds $ à plus de 14 milliards $ 64. Réserves de change passées de 900 millions $ à 7 milliards $ 65. Stabilisation du cadre macroéconomique 66. Appréciation du Franc congolais 67. Baisse des prix sur le marché 68. Gratuité de l’enseignement primaire 69. Gratuité de la maternité dans 13 provinces 70. Multiplication par 10 des fonctionnaires et augmentation de leurs salaires 71. Baisse prix du passeport: 75$ 72. Amélioration du climat des affaires. VII. #ROUTES & #PONTS 73. Rocades Sud-Est et Sud-Ouest (63 km) 74. Route Nzolana (UPN–Binza) 75. Route Kasumbalesa-Mokambo-Sakania 150km 76. Route Kasomeno-Mwenda 77. Route Beni-Komanda-Kisangani 78. Route Kasindi-Beni 79. Route Beni-Butembo 80. Route Kalamba-Mbuji-Kananga-Mbuji-Mayi 81. Route Kolwezi-Solwezi 82. Route Mwene-Ditu-Mbuji-Mayi 83. Route Mwene-Ditu-Kanyama 84. Route Kinshasa-Batshamba 85. Route Bandundu-Bagata 86. Rocade de Kisangani 87. Pont Nyemba (Tanganyika, 140 m) 88. Pont Lubudi (Kinshasa, 158m) 89. Pont Lowa 90. Pont Lubuya (Kisangani, 30m) 91. Pont Lubunga (Kisangani, 15m) 92. Pont Mwanza-Ngoma (Kasaï C, 37m) 93. Pont Lemba-Matete 94. Pont Luilu (Lomami, 60m) 95. Pont Kalebuka (L'shi, 22m) 96. Pont Fatshi Béton (Likasi, 63m) 97. Pont Chalwe (Kasenga-Zambie, 345m 98. Pont Tshidivuila (Mwene-Ditu, 201m) 99. Pont Ludi (Kolwezi, 35m) 100. Pont Bomukandi (Watsa, 80m).

#RDC: 100 OEUVRES MAJEURES DU PRÉSIDENT Félix A. Tshisekedi , parmi tant d’autres . 👇👇 I. #CONSTRUCTION DES #UNIVERSITÉS & #ÉCOLES 1. Université de Mbuji-Mayi 2. Université de Bunia 3. Université de Kananga 4. Université de Kolwezi 5. Rénovation de l’UNIKIN 6. Rénovation et extension de l'UPN 7. Rénovation et extension de l’INBTP 8. Plus de 600 écoles construites par le PDL-145T 9. Écoles et centres prof construit par le Service National. 10. Centre de formation de Maluku II. #HÔPITAUX ET #CENTRES DE #SANTÉ 11. Hôpital Gén Mama Yemo (Kinshasa) 12. Rénovation Hôpital de Réf Camp Kokolo 13. Rénovation Hôpital de Réf Camp Tshatshi 14. Hôpital Général de Kintambo 15. Rénovation Hôpital Général Sendwe 16. Hôpital CNSS (Lubumbashi) 17. Hôpital de la Muya (Mbuji-Mayi) 18. Hôpital Mwangeji (Kolwezi) 19. 357 centres de santé livrés (PDL-145T) 20. Modernisation de plusieurs hôpitaux provinciaux (Ituri, Haut-Uélé, Kasaï, Kongo-Central) III. #SPORTS, #CULTURE & #LOISIRS 21. Stade des Martyrs (rénové) 22. Stade Kibassa Maliba (Lubumbashi, rénové) 23. Stade Tata Raphaël (Rénovation) 24. Stade Sainte-Thérèse de Ndjili 25. Stade de foot et de basket UPN 26. Stade UNIKIN 27. Stade Lumumba (Matadi) 28. Arena de Kinshasa (palais omnisports) 29. Modernisation site de la FIKIN 30. Musée National de la RDC 31. Maison de l’Entrepreneuriat 32. Centre Culturel pour l’Afrique Centrale 33. Centre Financier de Kinshasa 34. Village des Congrès de Kolwezi. IV. #CONSTRUCTION #AÉROPORTS ET #PORTS 35. Aéro de Kisangani (livré) 36. Aéro de Kolwezi (livré) 37. Aéro de Mbuji-Mayi 38. Aéro de Kananga 39. Aéro de Bunia 40. Aéro de Boende 41. Aéro de Ndjili 42. Aéro de Lubumbashi (travaux d’extension) 43. Port en eau profonde de Banana 44. Modernisation du Port de Matadi 45. Fermeture des ports illégaux. V. #ENTREPRISES #PUBLIQUES 46. Nouveau siège de l’IGF 47. Siège rénové de la CENAREF 48. Rénovation et modernisation de la SNCC 49. Réévaluation des actifs de la Gécamines (+3 milliards $ récupérés) 50. Rénovation de l’ONATRA 51. Réhabilitation du Service National 52. Usine de traitement d’eau de Lemba-Imbu 53. Usine de traitement d’eau de Binza-Ozone 54. Centrale hydroélectrique de Busanga (Lualaba) 55. Sous-station électrique de Samukinda (Lualaba) 56. Centrale solaire de Menkao 57. Assemblée Provinciale de Lubumbashi 58. Usine de production du Zinc KICO (Kipushi) 59. Marché central de Kinshasa 60. Marché moderne de Tshikapa 61. Prison centrale de Makala (extension) 62. Nouveaux bâtiments administratifs et salle polyvalente du Gouvernorat du Lualaba VI. #RECORDS #FINANCIERS 63. Budget national passé de 4 mds $ à plus de 14 milliards $ 64. Réserves de change passées de 900 millions $ à 7 milliards $ 65. Stabilisation du cadre macroéconomique 66. Appréciation du Franc congolais 67. Baisse des prix sur le marché 68. Gratuité de l’enseignement primaire 69. Gratuité de la maternité dans 13 provinces 70. Multiplication par 10 des fonctionnaires et augmentation de leurs salaires 71. Baisse prix du passeport: 75$ 72. Amélioration du climat des affaires. VII. #ROUTES & #PONTS 73. Rocades Sud-Est et Sud-Ouest (63 km) 74. Route Nzolana (UPN–Binza) 75. Route Kasumbalesa-Mokambo-Sakania 150km 76. Route Kasomeno-Mwenda 77. Route Beni-Komanda-Kisangani 78. Route Kasindi-Beni 79. Route Beni-Butembo 80. Route Kalamba-Mbuji-Kananga-Mbuji-Mayi 81. Route Kolwezi-Solwezi 82. Route Mwene-Ditu-Mbuji-Mayi 83. Route Mwene-Ditu-Kanyama 84. Route Kinshasa-Batshamba 85. Route Bandundu-Bagata 86. Rocade de Kisangani 87. Pont Nyemba (Tanganyika, 140 m) 88. Pont Lubudi (Kinshasa, 158m) 89. Pont Lowa 90. Pont Lubuya (Kisangani, 30m) 91. Pont Lubunga (Kisangani, 15m) 92. Pont Mwanza-Ngoma (Kasaï C, 37m) 93. Pont Lemba-Matete 94. Pont Luilu (Lomami, 60m) 95. Pont Kalebuka (L'shi, 22m) 96. Pont Fatshi Béton (Likasi, 63m) 97. Pont Chalwe (Kasenga-Zambie, 345m 98. Pont Tshidivuila (Mwene-Ditu, 201m) 99. Pont Ludi (Kolwezi, 35m) 100. Pont Bomukandi (Watsa, 80m).

Alain Make Nzonga

29,444 Aufrufe • vor 5 Monaten

My half-a-year update of my personal 100 favorite songs Yes, this is all my opinion and I'm probably not sorry: 100. The Voidz - Pyramid of Bones 99. Bruce Springsteen - Cover Me 98. Pearl Jam - Porch (Unplugged) 97. Julian Casablancas - 11th Dimension 96. System Of A Down - Soil 95. Fleet Foxes - Helplessness Blues 94. Avenged Sevenfold - Bat Country 93. Dinosaur Jr. - Little Fury Things 92. Oasis - Don’t Look Back In Anger 91. New Order - Thieves Like Us (Instrumental) 90. Sly And The Family Stone - Stand! 89. Sabrina Carpenter - Taste 88. Prince - Little Red Corvette 87. Carissa's Wierd - You Should Be Hated Here 86. Rosa Walton & Hailey Coggins - I Really Want To Stay At Your House 85. A-ha - Take On Me 84. Billy Idol - Rebel Yell 83. Fugazi - Turnover/Repeater -in order- 82. Death Grips - Hacker 81. Lady Gaga - Abracadabra 80. Bad Religion - How Much Is Enough 79. Pearl Jam - Jeremy (Single version) 78. Phoebe Bridgers - Motion Sickness 77. Linkin Park - Lying From You 76. System of A Down - Radio/Video 75. Nirvana - Come As You Are 74. Alvvays - Belinda Says 73. My Chemical Romance - Dead! 72. Eminem ft. Rihanna - Love The Way You Lie 71. Weezer - Pork And Beans 70. Eurythmics - Here Comes The Rain Again 69. Pink Floyd - Time 68. Deftones - Change (In The House of Flies) 67. OutKast - Ms. Jackson 66. Neil Young - Heart of Gold 65. The Strokes - You Only Live Once 64. Danny Brown ft. Everybody - Really Doe 63. MGMT - Little Dark Age 62. At The Drive In - Napoleon Solo 61. Fleetwood Mac - Rhiannon 60. Magdalena Bay - She Looked Like Me! 59. The Killers - When You Were Young 58. Lady Gaga - Perfect Illusion 57. Elliott Smith - Needle In The Hay 56. The Killers - All These Things That I’ve Done 55. Portishead - Roads 54. Fall Out Boy - Headfirst Slide into Cooperstown On A Bad Bet 53. Radiohead - Black Star 52. Refused - New Noise 51. A Tribe Called Quest - We The People 50. NIN - Dead Souls 49. Tool - Sober 48. David Bowie - Starman 47. Nas - If I Ruled The World 46. Van Halen - Ain’t Talkin’ ‘Bout Love 45. The Strokes - Welcome To Japan 44. NIN - Wish 43. Fall Out Boy - Grand Theft Autumn 42. TV On The Radio - Wolf Like Me 41. Pearl Jam - Garden (Redux) 40. Bad Religion - You 39. Rage Against The Machine - Down Rodeo 38. Lady Gaga - Bad Romance 37. Metallica - Until It Sleeps 36. Pearl Jam - Rearviewmirror 35. Deftones - My Own Summer 34. Alice In Chains - Nutshell 33. New Order - True Faith 32. The Get Up Kids - Holiday 31. Queen - 39’ 30. Pearl Jam - Alive (Redux) 29. Talking Heads - Once In A Lifetime 28. The Smashing Pumpkins - Porcelina of the Vast Ocean 27. Filter - Hey Man, Nice Shot 26. Radiohead - There, There 25. Pearl Jam - Even Flow (Redux) 24. Frank Oceans - Night 23. Pearl Jam - Scared of Fear 22. The Rolling Stones - Gimme Shelter 21. Radiohead - 15 Steps 20. At The Drive In - Arcarsenal 19. Charli XCX - forever 18. Tyler The Creator - EARFQUAKE 17. The Beatles - Let It Be 16. Jawbreaker - Condition Oakland 15. Sunny Day Real Estate - In Circles 14. Radiohead - Paranoid Android 13. Boston - More Than A Feeling 12. Weezer - My Name Is Jonas 11. Neutral Milk Hotel - Holland 1945 10. Nas - N.Y. State of Mind 9. Eric Clapton - Tears In Heaven 8. Sunny Day Real Estate - Seven 7. The Strokes - Hard To Explain 6. Simon & Garfunkel - The Boxer 5. U2 - With or Without You 4. Jeff Buckley - Grace 3. Fleetwood Mac - Go Your Own Way 2. System of a Down - Chop Suey 1. Pearl Jam - Black (2004 Remix)

My half-a-year update of my personal 100 favorite songs Yes, this is all my opinion and I'm probably not sorry: 100. The Voidz - Pyramid of Bones 99. Bruce Springsteen - Cover Me 98. Pearl Jam - Porch (Unplugged) 97. Julian Casablancas - 11th Dimension 96. System Of A Down - Soil 95. Fleet Foxes - Helplessness Blues 94. Avenged Sevenfold - Bat Country 93. Dinosaur Jr. - Little Fury Things 92. Oasis - Don’t Look Back In Anger 91. New Order - Thieves Like Us (Instrumental) 90. Sly And The Family Stone - Stand! 89. Sabrina Carpenter - Taste 88. Prince - Little Red Corvette 87. Carissa's Wierd - You Should Be Hated Here 86. Rosa Walton & Hailey Coggins - I Really Want To Stay At Your House 85. A-ha - Take On Me 84. Billy Idol - Rebel Yell 83. Fugazi - Turnover/Repeater -in order- 82. Death Grips - Hacker 81. Lady Gaga - Abracadabra 80. Bad Religion - How Much Is Enough 79. Pearl Jam - Jeremy (Single version) 78. Phoebe Bridgers - Motion Sickness 77. Linkin Park - Lying From You 76. System of A Down - Radio/Video 75. Nirvana - Come As You Are 74. Alvvays - Belinda Says 73. My Chemical Romance - Dead! 72. Eminem ft. Rihanna - Love The Way You Lie 71. Weezer - Pork And Beans 70. Eurythmics - Here Comes The Rain Again 69. Pink Floyd - Time 68. Deftones - Change (In The House of Flies) 67. OutKast - Ms. Jackson 66. Neil Young - Heart of Gold 65. The Strokes - You Only Live Once 64. Danny Brown ft. Everybody - Really Doe 63. MGMT - Little Dark Age 62. At The Drive In - Napoleon Solo 61. Fleetwood Mac - Rhiannon 60. Magdalena Bay - She Looked Like Me! 59. The Killers - When You Were Young 58. Lady Gaga - Perfect Illusion 57. Elliott Smith - Needle In The Hay 56. The Killers - All These Things That I’ve Done 55. Portishead - Roads 54. Fall Out Boy - Headfirst Slide into Cooperstown On A Bad Bet 53. Radiohead - Black Star 52. Refused - New Noise 51. A Tribe Called Quest - We The People 50. NIN - Dead Souls 49. Tool - Sober 48. David Bowie - Starman 47. Nas - If I Ruled The World 46. Van Halen - Ain’t Talkin’ ‘Bout Love 45. The Strokes - Welcome To Japan 44. NIN - Wish 43. Fall Out Boy - Grand Theft Autumn 42. TV On The Radio - Wolf Like Me 41. Pearl Jam - Garden (Redux) 40. Bad Religion - You 39. Rage Against The Machine - Down Rodeo 38. Lady Gaga - Bad Romance 37. Metallica - Until It Sleeps 36. Pearl Jam - Rearviewmirror 35. Deftones - My Own Summer 34. Alice In Chains - Nutshell 33. New Order - True Faith 32. The Get Up Kids - Holiday 31. Queen - 39’ 30. Pearl Jam - Alive (Redux) 29. Talking Heads - Once In A Lifetime 28. The Smashing Pumpkins - Porcelina of the Vast Ocean 27. Filter - Hey Man, Nice Shot 26. Radiohead - There, There 25. Pearl Jam - Even Flow (Redux) 24. Frank Oceans - Night 23. Pearl Jam - Scared of Fear 22. The Rolling Stones - Gimme Shelter 21. Radiohead - 15 Steps 20. At The Drive In - Arcarsenal 19. Charli XCX - forever 18. Tyler The Creator - EARFQUAKE 17. The Beatles - Let It Be 16. Jawbreaker - Condition Oakland 15. Sunny Day Real Estate - In Circles 14. Radiohead - Paranoid Android 13. Boston - More Than A Feeling 12. Weezer - My Name Is Jonas 11. Neutral Milk Hotel - Holland 1945 10. Nas - N.Y. State of Mind 9. Eric Clapton - Tears In Heaven 8. Sunny Day Real Estate - Seven 7. The Strokes - Hard To Explain 6. Simon & Garfunkel - The Boxer 5. U2 - With or Without You 4. Jeff Buckley - Grace 3. Fleetwood Mac - Go Your Own Way 2. System of a Down - Chop Suey 1. Pearl Jam - Black (2004 Remix)

Machine Gun Philly

15,997 Aufrufe • vor 1 Jahr