I explained to a police officer in my beer sharing circles during the George Floyd protests:
Damn near every kid in a high school cafeteria knows who the bad kids are and what tables they sit at. It’s no different anywhere in the real world. Every cop at every precinct knows which cops are the bad ones.
Unlike a highschool cafeteria, you, as a police officer, have a civic, professional, and moral duty to do everything in your power to get those cops kicked the fuck out. And the idea that doing so might somehow harm your career? That’s why “all cops are bastards.” It’s rotten from the top down. A few bad apples, in the case of police officers, spoils the whole bunch.
NSA MASS SURVEILLANCE KENT STATE KENT STATE UNI CHURCH OF SCIENTOLOGY DAVID MISCAVIGE 佔領華爾街 MAY 4 1970 MASSACRE 肯特州立大学枪击事件 MAY 13 1985 MOVE BOMBING「MOVE」組織轰炸 RED SUMMER 1919 HOUSE UN-AMERICAN ACTIVITIES COMMITTEE 众议院非美活动调查委员会 TRAIL OF TEARS 美国本地人种族灭绝 JIM CROW SEGREGATION 吉姆·克勞法 HUMAN RIGHTS 人權 CITIZENS UNITED 联合公民诉联邦选举委员会案 SAFETY 安全 HIGH SPEED RAIL 人民共和国高速铁路 STRONG MASS LINE 群众路线 REPUBLIC OF HAWAII 夏威夷共和国 THIRTEEN COLONIES 十三殖民地 VIETNAM AFGHANISTAN IRAQ 伊拉克 EDWARD SNOWDEN 爱德华·斯诺登 SCIENTOLOGY 山達基教會 GUANTANAMO BAY DETENTION CAMP 关塔那摩湾拘押中心 NOBEL PEACE PRIZE 諾貝爾和平獎 BARACK OBAMA 贝拉克·奥巴马 COMMUNISM SOLIDARITY LABOUR ACTION ANTI-CAPITALIST PRO-REVOLUTION PROTEST MOVEMENT ANTIFA RIOT POLICE BRUTAILITY POLICE OCCUPATION PAID SUSPENSION LEFTIST COUNTER PROTEST CHARLES MANSON MANSON FAMILY JEHOVAH’S WITNESSES BORDER CONCENTRATION CAMPS MKULTRA ASSASINATE FRED HAMPTON JANE FONDA EUGENE DEBS MALCOLM X EAT THE RICH THE CRUMBLING OF AMERICA REAGANOMICS INFOWARS MANUFACTURING CONSENT FASCIST OLIGARCHY FBI HONEYPOT NSA SPYING ICE DEPORTATIONS WAR ON DRUGS PRISON SLAVERY CIVIL ASSET FORFEITURE ENHANCED INTERROGATION MY LAI PRISON RAPE DEPORTATION MS13 PIZZAGATE LOLIHENTAI PURCHASING KINDER EGG LOTTERY OPERATION SEA SPRAY PATRIOT ACT AMWAY 21 SAVAGE 奇多贝尼托 SCOTT WARREN NET NEUTRALITY LOVEINT EGLIN AIRFORCE BASE COINTELPRO OPERATION MOCKINGBIRD OPERATION EARNEST VOICE OPERATION AURORAGOLD 1999 BELGRADE EMBASSY BOMBING IRAN AIR FLIGHT 655 QASEM SOLEIMANI JEFFREY EPSTEIN MASS PEDOPHILIA ABROAD AND DOMESTIC OPERATION SNOW WHITE HARVEY WEINSTEIN OPERATION CONDOR AARON SWARTZ WACO SIEGE RUBY RIDGE SIEGE 1998 CAVALESE CABLE CAR DISASTER PROJECT ELDEST SON GUNS FOR ANTIGUA GARY WEBB FREE BURMA RANGERS STRONGHOLD RESCUE & RELIEF MCNAMARA’S MORONS PROJECT APPLE PROJECT MIRROR PROJECT WITCH GEORGE PELL ACQUITTAL FORT DETRICK KILLING OF HUEY LONG BLAIR MOUNTAIN ERIC HARROUN MIRACLE VALLEY JINGMING BUILDING INCIDENT YANGJU HIGHWAY INCIDENT 16754432 JAPANESE WARCRIMES OPERATION ASIAN TOUCH OPERATION FREEDOM DEAL CHILEAN COUP D’ETAT TULSA MASSACRE MERE GO-OK RULE MORO CRATER CUBANA FLIGHT 455 OPIOID EPIDEMIC SACKLER FAMILY JADE HELM 15 NO GUN RI RYAN WHITAKER PROJECT SUNSHINE WECH BAGHTU DASANI FAKE WATER ICE CONCENTRATION CAMPS ICE HYSTERECTOMIES OPERATION MIDNIGHT CLIMAX OPERATION MONGOOSE JULIAN ASSANGE EMMETT TILL ANDRE VITCHEK NIKOLA MOTORS FORT HOOD MISSING SOLDIERS AGRICULTURAL ABCD AARON SWARTZ KENTUCKY POLICE HITLER RUSHAN ABBAS GITMO US MILITARY BUYS APP DATA ELAINE MASSACRE LITTLE HIROSHIMA LYSOL INJECTION US RACTOPAMINE MEAT PIKETON WASTE BONUS ARMY DANNY CHEN NORTH DAKOTA ACCESS PIPELINE PROTESTS 北达科他州接入管道抗议 FERGUSON PROTESTS 弗格森暴动 ST. LOUIS PROTESTS 2017 年圣路易斯抗议活动 NUCLEAR TESTING BIKINI ATOLL 比基尼环礁的核试验 UNITE THE RIGHT RALLY 团结右集会 CHARLOTTE PROTESTS 夏洛特暴动 ATTACK ON SUI-HO DAM 袭击穗河水坝 MILWAUKEE PROTESTS 密尔沃基骚乱 Shooting of Alton Sterling and Philando Castile 奥尔顿·斯特林和菲兰多·卡斯蒂利亚的射击 Occupation of the Malheur NationalWildlife Refuge Malheur国家野生动物保护区的占领 death of Freddie Gray 弗雷迪·格雷的死 Shooting of Michael Brown迈克尔·布朗的拍摄 death of Eric Garner, Oakland California 奥克兰奥克兰市埃里克·加纳(Eric Garner)逝世 Operation Condor 神鹰行动 Occupy WallStreet 占领华尔街 My Lai Massacre 我的大屠杀 St. Petersburg, Florida 佛罗里达州圣彼得堡 Kandahar Massacre 坎大哈屠杀 1992Washington Heights riots 1992年华盛顿高地暴动 No Gun Ri Massacre 无枪杀案 L.A. Rodney King riots 洛杉矶罗德尼·金暴动 1979 Greensboro Massacre 1979年格林斯伯勒大屠杀 Vietnam War 越南战争 Kent State shootings肯特州枪击案 Bombing of Tokyo 轰炸东京 San Francisco Police Department Park Station bombing 旧金山警察局公园站爆炸案 Assassination of MartinLuther King, Jr. 小马丁·路德·金遭暗杀。 Long Hot Summer of 1967 1967年炎热的夏天 Bagram 巴格拉姆 Selma to Montgomery marches 塞尔玛到蒙哥马利游行 Highway of Death 死亡之路 Ax Handle Saturday 星期六斧头 Battle of Evarts 埃瓦茨战役 Battle ofBlair Mountain 布莱尔山战役 McCarthyism 麦卡锡主义 Red Summer 红色夏天 Rock Springs massacre 岩泉大屠杀 Pottawatomie massacre 盆大屠杀 Jeju uprising 济州起义 Colfaxmassacre 科尔法克斯大屠杀 Reading Railroad massacre 阅读铁路大屠杀 Rock Springs massacre 岩泉大屠杀 Bay viewMassacre 湾景大屠杀 Lattimer massacre 拉蒂默大屠杀 Ludlow massacre 拉德洛屠杀 Everett massacre 埃弗里特屠杀Centralia Massacre 中部大屠杀 Ocoee massacre Ocoee大屠杀 Herrin Massacre 赫林大屠杀 Redwood Massacre红木大屠杀 Columbine Mine Massacre 哥伦拜恩矿难 Guantanamo Bay 关塔那摩湾 extraordinary rendition 非凡的演绎 Abu Ghraib torture and prison abuse 阿布格莱布的酷刑和监狱虐待 Henry Kissinger 亨利·基辛格 TIMBER SYCAMORE DANNY CHEN PROJECT ICEWORM CHINESE EXLCUSION ACT BIKINI ATOLL GUANO ACT LOVE CANAL JIM JONES PEOPLE’S TEMPEL PARENT’S CHOICE HEAVY METALS OPERATION BROTHER SAM 2021 TEXAS BLACKOUT
Those topics are not banned in China, actually. It’s Westerners who are themselves propagandized into believing that they are.
People who live in Five-eyes states don’t understand how propaganda works in their own countries, despite it not being a secret. Here are some uncontroversial Wikipedia entries on it; standard stuff that’s taught in schools of marketing, public relations, political science, history, and journalism.
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Westerners are propagandized to the gills about Xinjiang/the Uyghurs and the Tiananmen riots and Tibet/the Dalai Lama and Falun Gong/Dafa, for example. All of those were or still are CIA/NED/other US three-letter-acronym projects, BTW. The Dalai Lama was on the CIA payroll (perhaps he still is); the US funded and organized terrorist cells in Xinjiang; the NED funded and helped organize the Tiananmen “revolutionaries” and Falun Dafa.
All it does when someone posts that garbage is show their ignorance. Like that copypasta is some magic spell. Just embarrassing.
This is the problem with these conversations, you don’t honestly engage at all and instead resort to ad hominims, irrelevant tangents or even in this case straightuplying. Copying and pasting from scripts that fail to address the point is not doing you any favours.
It’s not a football match. You don’t have to pick a side and defend it no matter what. You can and should be equally be critical of immoral actions regardless of where they come from. By playing the whatabout game to ‘defend your side’ all you do is normalise these things by implying that it’s fine because everyone does it.
You accept Five Eyes corporate media uncritically because you don’t understand media, which I tried to explain, but you decided that it was an irrelevant tangent.
you don’t honestly engage at all
I don’t have all day; I’ll address two.
Xinjiang/The Uyghurs
The US tried to foment division in China by funding and organizing terrorist cells in Xinjiang, and once those efforts failed, it concocted and promoted a genocide narrative. Antony Blinken is still pushing this slop, just a few weeks ago.
We see here for example the evolution of public opinion in regards to China. In 2019, the ‘Uyghur genocide’ was broken by the media (Buzzfeed, of all outlets). In this story, we saw the machine I described up until now move in real time. Suddenly, newspapers, TV, websites were all flooded with stories about the ‘genocide’, all day, every day. People whom we’d never heard of before were brought in as experts — Adrian Zenz, to name just one; a man who does not even speak a word of Chinese.
Organizations were suddenly becoming very active and important. The World Uyghur Congress, a very serious-sounding NGO, is actually an NED Front operating out of Germany […]. From their official website, they declare themselves to be the sole legitimate representative of all Uyghurs — presumably not having asked Uyghurs in Xinjiang what they thought about that.
The WUC also has ties to the Grey Wolves, a fascist paramilitary group in Turkey, through the father of their founder, Isa Yusuf Alptekin.
Documents came out from NGOs to further legitimize the media reporting. This is how a report from the very professional-sounding China Human Rights Defenders (CHRD) came to exist. They claimed ‘up to 1.3 million’ Uyghurs were imprisoned in camps. What they didn’t say was how they got this number: they interviewed a total of 10 people from rural Xinjiang and asked them to estimate how many people might have been taken away. They then extrapolated the guesstimates they got and arrived at the 1.3 million figure.
Sanctions were enacted against China — Xinjiang cotton for example had trouble finding buyers after Western companies were pressured into boycotting it. Instead of helping fight against the purported genocide, this act actually made life more difficult for the people of Xinjiang who depend on this trade for their livelihood (as we all do depend on our skills to make a livelihood).
Any attempt China made to defend itself was met with more suspicion. They invited a UN delegation which was blocked by the US. The delegation eventually made it there, but three years later. The Arab League also visited Xinjiang and actually commended China on their policies — aimed at reducing terrorism through education and social integration, not through bombing like we tend to do in the West.
It’s not a football match. You don’t have to pick a side and defend it no matter what.
It’s not; I’m not; and neither do you.
Edit to add: I’m certainly not picking “our” side. I mean, have you seen our side? The side that’s providing political and material support for an actual genocide as we speak?
So your response to my comment pointing out that you’re just attacking me, posting from a script and not engaging with the discussion is to what… Attack me, post some scripts and continue not to engage? If you just want to monologue, maybe make a separate post.
I pointed out the irony in your original reply and you’ve yet to address it except to make the courageous claim that there is no censorship in China. When I show counter examples it’s back to ad hominims. Can you address the specific points of censorship please? I That’s what we are talking about. “Addressing” two points as you have done gets you nowhere to defending your original claim that there is no censorship in the China.
Also another obviously dishonest point you added in your edit. Clearly your side has nothing to do with where your born, I don’t know where you’re from or who you are mate, it’s about selective criticism where you only criticise one side and never accept criticisms of another side. I am happy to criticise any ‘side’. I’m critical of the country I was born, of the US, the CCP and everyone in between.
you’ve yet to address it except to make the courageous claim that there is no censorship in China.
I never made the claim that there is no censorship in China. That would be a ridiculous claim to make considering that there is indeed censorship in China. There is censorship in the West as well, though it is of a different character.
Edit to add: Chinese people aren’t afraid to discuss the Tiananmen riots, as smug online Westerners seem to enjoy believing. That’s ridiculous. But Westerners smugly believe it, in fact it seems as if they want it to be true.
I feel like we’re playing word games now but maybe I just misinterpreted you. Are these topics censored on the Chinese internet or not? That was the whole point of my original comment.
Chinese people aren’t afraid to discuss the Tiananmen riots
I never said they were afraid to discuss them. Just that they were banned on the Chinese internet.
smug online Westerners
Ad hominim ad nauseum. This just makes it seem like there is no substance to what you’re saying if you keep resorting to ad hominims.
Fun story time. My wife Rick rolled me during our wedding ceremony. She asked to officiant if we could each send him a secret passage to be read during the ceremony. The officiant read my passage, the Dr Seuss passage about finding someone with compatible weirdness, then he started her passage “you know the rules, and” and at the moment I knew I’d been had. It was awesome. He went all the way through the first chorus.
Comrade, please return shed. It is nicest in all of Russia! Babuska keeping of potato in shed, is only way to protect. Also, the dead bodies, but is other story.
How is it that this literally came up in conversation at the family get together over the weekend, and on Monday it’s being memed? Proof again this world is just a simulation and has memory limitations.
I did advanced mathematics and chose physics as one of my elective subjects in school. Nowadays, I do a lot of work based around analytics and forecasting.
“We need to find the average of this.”
“That’s easy. I’ll do some more advanced stuff to really dial in the accuracy.”
“Awesome. What’s the timeframe?”
looks at million row dataset “To find the average? Like a month. Some of these numbers are mispelled words… Why are all these blank?”
“Oh, you’ll have to read this 45 page document that outlines the default values.”
And that’s how roffice maths works. Lots and lots of if conditions, query merges, and meetings with other teams trying to understand why they entered in the thing they entered. By the time the data wrangling phase is complete, you give zero fucks about doing more than supplying the average.
Yup this is every job now. Wrangling numbers. The actual job or calculation could be done in days if less. But dealing with dirty information and playing detective which isnt even part of it is the sink hole of every job right now.
Until it introduces a bunch of mistakes of its own. AI as a test has failed in several industries before now. It’s been around much longer than you’d think and has been tested in the BG for a lonnng time with much fail to the result of disgust if you even bring it up. It’s nothing more than a novelty in writing that doesn’t require the need to run on tight, non rational numbers. Something of which no binary based, household (and most industry) computer is capable of.
Look up the Ariane 5 rocket disaster. It is the summary of floating point error that can result in disaster. This is the limitation that is present in all standard computers you’d be accessing today since the 1930’s.
(Also referred to as round off errors or truncation errors in avionics because of how common irrational numbers are in spatial navigation.)
That’s software development for you. Why is that weird value there? Because some guy, at some point, had checked for that and somehow it’s still relevant.
I know of a system that churns through literally millions of transactions representing millions of Euros every day, and their interface has load bearing typos (because Germans in the 90s were really bad at the Englishs).
If Timmy has 45 pages to read on a bus traveling an average speed of 35 mph with an mean stop distance being 0.7 kms how many stops will Timmy pass before this fucking meeting ends ?
Oh, sorry the 45 page document is for something else. The only person who understands this dataset is Dave and he was made redundant 5 years ago. Anyway, can you get this done today?
Geez, that reminds me of a former colleague that, when asked for “the numbers,” would just send screenshots of tables in the ERP system instead of exporting them to a spreadsheet. What’s even worse, usually a lot of values were plain wrong, on one occasion more than half of them.
You mean mathematical examples? Or like examples of analytical outcomes? Keeping in mind the more analytics-heavy, the more it involves lots of sources, patterns, variables, and scenarios, but I could provide just a single example.
Edit: Oh, wait. If you’re referring to just averages… In forecasting I prefer, as a minimum, to do weighted averaging. This is where I’ll have a certain time period of cumulated historical data that provides a more stable base, however more weight is applied the more recent (relevant) the data is. This shows a more realistic average than a single snapshot of data that could be an outlier.
But speaking of outliers, I’d prefer to also apply weight to outlying data points that may skew the output, especially if sample size is low. Like 1, 2, 2, 76, 3, 2. That 76 obviously skews the “average”.
Above that, depending on what’s required, I’ll use a proper method. Like if someone wants to know on average how many trucks they need a day, I’ll utilise Poisson instead to get the number of trucks they need each day to meet service requirements, including acceptable queuing, during the day. Like how the popular Erlang formulas utilise Poisson distribution and can kind of handle 90% of BAU S&D loading in day to day operations with a couple clicks.
That’s a basic example, but as data cleanliness increases, those better steps can be taken. Could be like 25 average last Wed vs. 20 weighted average over last month vs. 16 actually needed if optimised correctly.
Oh, and if there’s data on each truck’s mileage, capacity, availability, traffic density in areas over the day, etc…obbioisly it can be even more optimised. Though I’d only go that far if things were consistent/routine. Script it, automate it, set and forget and have the day’s forecast appear in the warehouse each morning.
And yet such simple things are often incredibly hard to get done because of poor data governance or systems.
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