I think Indian and Pakistan CAN make peace, but not yet… Anyway, you can read Major Amin’s more pessimistic take here..
I think Indian and Pakistan CAN make peace, but not yet… Anyway, you can read Major Amin’s more pessimistic take here..
From Dr Hamid Hussain
Following was in response to several questions regarding Pakistan’s regional challenges and current policies.
Kabuki Dance – Pakistan’s Balancing Act
Pakistan’s challenging regional environment has taken some new turns and new government of Prime Minister Imran Khan is trying to cope up with these challenges. Government’s major advantage is that it has no clash with the dominant army. In many areas of foreign policy, it has ceded significant ground to the army.
Pakistan is in a difficult spot on three issues. First is rapid pace of negotiations between Taliban and Americans with projected quick withdrawal of American troops, second is isolation of Iran and third is potential entanglement in intra-Arab rivalry with United Arab Emirates (UAE) and Saudi Arabia on one and Qatar on the other side. Pakistan is facing these regional challenges in the background of internal political instability and very serious economic downward trend. Part of political instability and associated economic meltdown is due to self-inflicted wounds. Departing from the normal process of check and balance, judiciary and army played an active role in tuning up the system that will have its own set of consequences. It has widened the political gulf and added new fissures.
Regional challenges of Pakistan are directly linked with American policies. We are living in a Trumpian world that has sowed a lot of confusion on all fronts. Every country and non-state player is adjusting positions at such a rapid speed that it is hard to make sense of every move. Pakistan is also caught in this Trumpian world on several fronts.
US policy is in disarray with no coordination between different government agencies. President Trump is using single point agents without full institutional support behind these efforts. In many cases, some power centers of Washington are diametrically opposed to President’s efforts. It is probably right time for withdrawal of American troops from both Syria and Afghanistan. Trump may have realized what Christopher Fettweis wrote in 2008 in his book Losing Hurts Twice as Bad that “bringing peace to every corner of the globe, even those whose stability we have wrecked through our own incompetence, is not necessarily in the strategic interest of the United States”. However, the method in which it is being done has confused both allies and foes. American intelligence agencies are publicly disagreeing with Trump that is unprecedented. In late January 2019, in a hearing at Senate Intelligence Committee, Director of National Intelligence and heads of Central Intelligence Agency (CIA), National Security Agency (NSA) and Federal Bureau of Investigations (FBI) contradicted Trump on security issues. They told the committee that Iran was still abiding by the nuclear deal. Trump had pulled out of the deal stating that Tehran had broken the deal. Furious Trump sent his twitter tirade saying that ‘the intelligence people seem to be extremely passive and naïve when it comes to the dangers of Iran. They are wrong’. Continue reading “Kabuki Dance – Pakistan’s Balancing Act”
Review from Major Amin: Directorate S –The CIA and Americas Secret Wars in Afghanistan and Pakistan, 2001-2016-Steve Coll -Allen Lane- Penguin Books-2018-ISBN-978-1-846-14660-2 ISBN-13: 978-1987659184 ISBN-10: 198765918X
A leading US-Israeli Intelligence analyst and operator recently summed up pathetic state of US intelligence operators in Pakistan as following:–
“ They are afraid of their own shadows”
As great powers decline , their quality of strategic judgement and decision making and their operational effectiveness also markedly declines.
Steve Coll’s voluminous and bulky book reconfirms this fact .
The first defect of this book is that it does not contain a single relevant map connected to the subject i.e Directorate S.
On page 12 the writer repeats a false and unsubstantiated claim that CIA pilots had to fly Russian MI series helicopters for Northern Alliance , whereas in reality Afghanistan never had any shortage of Afghan helicopter pilots.
On page 14 the author confirms his absolute lack of knowledge of geography when he fallaciously claims that Panjsher valley slices north towards Tajikistan , whereas in reality Panjsher valley inclines towards Chitral in Pakistan towards the Northeast , ending at Anjuman Pass.
The authors analysis is a clear testament to the fallacious assessments of US policy makers about Afghanistan like on page-17 he discusses Al Qaeda and US policy makers obsession with Al Qaeda.
As a matter of fact Al Qaeda was never the real player in Afghanistan all along . It was a puny group with limited strategic ability. The real players in Afghanistan all along were Taliban supported by Directorate S of the ISI.
This basic US perceptual error repeatedly appears in Steve Colls voluminous narrative and Steve Coll himself is quite confused about it.
Steve Colls factually flawed statements like page-17 where he states “Recalling the miserable fates of Imperial Britain” while referring to Britain”s Afghan wars. Why Coll has to make such baseless statements is perplexing. As a matter of fact all three Afghan wars were a strategic success , the first being waged by a British private company. All three Afghan wars made British strategic position in India and West Asia stronger and created a more stable Afghanistan.I guess it is fashionable in western authors to make such statements about what a terrible place Afghanistan was and is . Continue reading “Review: Directorate S”
Another BP Podcast is up. You can listen on Libsyn, iTunes and Stitcher. Probably the easiest way to keep up the podcast since we don’t have a regular schedule is to subscribe at one of the links above. You can also support the podcast as a patron (the primary benefit now is that you get the podcasts considerably earlier than everyone else).
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In this episode Omar talks to Major Agha Humayun Amin and Dr Hamid Hussain. Both gentlemen are deeply interested in military history and know everything there is to know about the British Indian army and its daughter armies in India and Pakistan. We talk about the army of the East India Company and its domination of the Indian subcontinent, the 1857 mutiny, the army after 1857 and finally a few words about partition and in particular about the role played by British officers in the Pakistani army and in the capture of Gilgit and Baltistan (a region that is now central to our plans to form an alliance with China). We hope to have more podcasts in the future about the various India-Pakistan wars.
Review of General Rao Farman Ali’s book by Major Amin
HOW PAKISTAN GOT DIVIDED-RAO FARMAN ALI KHAN -298 PAGES – OXFORD UNIVERSITY PRESS-PAKISTAN –ISBN NUMBER 978-0-19-940698-2- YEAR OF PUBLICATION -2017
Reviewed by Major Agha H Amin (Retired)
This is yet another disappointing book in the genre that Pakistani writers write to rationalize the separation of East Pakistan and creation of the new state Bangladesh in 1971. The real causes are always simply whitewashed and not even discussed. This book does so again .
The book is divided in 17 chapters but only one deals in a very vague and rudimentary manner with the historical background. The remaining chapters are devoted to 1970 elections and its aftermath. This is a rather ultra myopic way of writing history. The bottom line of the whole issue was that ethnicity was the defining factor in Indian Muslim relations. Starting in 1906 Indian Muslim politics was dominated by United Provinces (UP) Muslims . When All India Muslim League was created in 1906 with Bengalis in the forefront , it was hijacked by UP Muslims and its headquarters shifted to Aligarh in 1907 . Bengalis were regarded as an inferior Dravidian race. The watershed moment was the Lucknow Pact under stewardship of Mr Jinnah, where without discussing the matter with Punjabis or Bengali Muslims a twin thrust in the back was delivered to Punjab and Bengal. Punjab’s Muslim legislative majority being reduced from 54 to 50 % and Bengal’s Muslim majority reduced from 52 to 40 % . All this being done by an All India Muslim League that contained 90 % of its delegates from Lucknow city and UP. Continue reading “How Pakistan Got Divided”
Brigadier Simon Saraf wrote a piece on the Afghanistan “peace” process that reflects the Paknationalist viewpoint. Major Amin has added his comments to it. (Major Amin’s comments are bolded). Major Amin is a military history aficionado who has decades of on the ground experience in Afghanistan.
The last hurdle to Afghan peace
Taliban and USA are in constant negotiations over withdrawal of US forces from Afghanistan. A draft pact addressing mutual sensitivities is concluded. The two parties facilitated by Pakistan will again meet towards end February to build a roadmap on the skeletal agreement.
APPEARANCES ARE DECEIVING— US HAS NO STRATEGY AND ITS ACTIONS ARE ACTIONS OF A LAME DESPERATE PRESIDENT BESIEGED BY SCANDALS AND A MINORITY IN CONGRESS–THIS MAKES HIM MORE DESPERATE THAN THE MOST UNDERFED TALIBAN–MR TRUMP WANTS TO NEGOTIATE A US WITHDRAWAL WHICH WOULD BE COMPLETED BY THE TIME ELECTIONS ARE ON THE TOP AND HE MAY WIN THE ELECTIONS—AFGHANISTAN AND PAKISTAN CAN GO TO HELL—A.H AMIN
The best solutions must consider lessons learnt from the Soviet withdrawal in 1989, leaving power in hands of proxies and ignoring a broad based representative government. A representative government for Afghanistan does not mean democracy. Besides the people, it also means co-opting various warring groups, warlords and educated elites. Links with drug mafia and gun running are intrinsic. So unless these groups are satisfied, they have many supporters to make them disruptive.
BROAD BASED REPRESENTATIVE GOVERNMENT WAS NEVER THE LESSON IN SOVIET AFGHAN WAR— PAKISTAN HAD ITS STOOGES–LOWEST RUNG MULLAHS LIKE HAQQANI WHO AS PER HIS ISI HANDLER COL QASIM ABBAS STANK SO MUCH THAT THEN MAJOR QASIM MADE HIM SIT IN THE OPEN BACK BODY OF HIS VEHICLE–THERE WAS NO BROAD BASE IN SOVIET AFGHAN WAR AND NO BROAD BASE NOW–ONLY STOOGES-PAKISTANI STOOGES OR IRANIAN STOOGES OR AMERICAN STOOGES OR RUSSIAN STOOGES OR INDIAN STOOGES—A.H AMIN
USA, the Afghan resistance, Taliban and Pakistan have been here before as a resistance to Soviet occupation and then a broad based alliance approved by Pakistan and USA.
Return of warlords gave meteoric rise to Taliban. They over ran most Mujahedeen groups led by warlords and fought fierce battles with Al Qaeda.
AL QAEDA NEVER EXISTED — FOUGHT AFGHAN WAR AS LOGISTICS ADVISOR OF A SIDE –NEVER SAW AL QAEDA–BASED IN AFGHANISTAN SINCE 2001–NEVER SAW AL QAEDA—DAESH IS ALSO A FICTIONAL ENTITY THAT THE PAKISTANI STATE INVENTS WHEN IT GUNS DOWN INNOCENTS LIKE AT SAHIWAL Continue reading “The Last Hurdle to Afghan Peace”
Prompted by some discussion on Twitter, a few random thoughts:
In a recent tweet, Congresswoman Alexandria Ocasio-Cortez – widely known as AOC – responded to a report from Amazon that facial recognition technology sometimes identified women as men when they have darker skin. She said:
“When you don’t address human bias, that bias gets automated. Machines are reflections of their creators, which means they are flawed, & we should be mindful of that. It’s one good reason why diversity isn’t just “nice,” it’s a safeguard against trends like this”
While I agree with the sentiment underlying her tweet, she is profoundly wrong about what is at play here, which can happen when you apply your worldview (i.e. biases) to things you’re not really familiar with. To be fair, we all do it, but here it is AOC, who is an opinion-maker and should be more careful. The error she makes here, though, is an interesting one, and get to some deep issues in AI.
The fact that machine learning algorithms misclassify people with respect to gender, or even confuse them with animals, is not because they are picking up human biases as AOC claims here. In fact, it because they are not picking up human biases – those pesky intuitions gained from instinct and experience that allow us to perceive subtle cues and make correct decisions. The machine, lacking both instinct and experience, focuses only on visual correlations in the data used to train it, making stupid errors such as relating darker skin with male gender. This is also why machine learning algorithms end up identifying humans as apes, dogs, or pigs – with all of whom humans do share many visual similarities. As humans, we have a bias to look past those superficial similarities in deciding whether someone is a human. Indeed, it is when we decide to override our natural biases and sink (deliberately) to the same superficial level as the machine that we start calling people apes and pigs. The errors being made by machines do not reflect human biases; they expose the superficial and flimsy nature of human bigotry.
There is also a deeper lesson in this for humans as well. Our “good” biases are not all just coded in our genes. They are mostly picked up through experience. When human experience becoming limited, we can end up having the same problem as the machine. If a human has never seen a person of a race other than their own, it is completely natural for them to initially identify such a person as radically different or even non-human. That is the result of a bias in the data (experience, in this case), not a fundamental bias in the mind. This is why travelers in ancient times brought back stories of alien beings in distant lands, which were then exaggerated into monstrous figures on maps etc. This situation no longer exists in the modern world, except when humans try to create it artificially through racist policies.
The machine too is at the mercy of data bias, but its situation is far worse than that of a human. Even if it is given an “unbiased” data set that includes faces of all races, genders, etc., fairly, it is being asked to learn to recognize gender (in this instance) purely from pictures. We recognize gender not only from a person’s looks, but also from how they sound, how they behave, what they say, their name, their expressions, and a thousand other things. We deprive the machine of all this information and then ask it to make the right choice. That is a huge data bias, comparable to learning about the humanity of people from distant lands through travelers’ tales. On top of that, the machine also has much simpler learning mechanisms. It is simply trying to minimize its error based on the data it was given. Human learning involves much more complicated things that we cannot even fully describe yet except in the most simplistic or metaphorical terms.
The immediate danger in handing over important decision-making to intelligent machines is not so much that they will replicate human bigotries, but that,within their limited capacities and limited data, they will fail to replicate the biases that make us fair, considerate, compassionate, and, well, human.