For those wondering at why the Australian government would abandon its Afghan “allies” and comrades of ADF soldiers to an uncertain fate after the Taliban have taken over #Afghanistan, a little history lesson in how Australia has historically treated Afghan refugees
In August 2001 the MV Tampa rescued 433 refugees at sea. 244 of them were Afghans, fleeing the Taliban, and following the laws of the sea Tampa attempted to land them in Australia. The Australian government refused to take them.
The Tampa’s captain refused to turn around so Australia sent in the SAS. The commander of the SAS force that raided that ship, Vance Khan, was ultimately in charge of a squad that killed tribesmen as part of Operation Slipper in Afghanistan. tinyurl.com/4y68z58z
Operation Slipper, Australia’s special operations activities in Afghanistan, is the subject of the Brereton report because 19 members have been implicated in the murder of 39 Afghan civilians and various other war crimes.
In October 2001, another boat carrying asylum seekers entered Australian waters. Nobody seems to have bothered reporting who these asylum seekers were, or we don’t know, because the navy was sent to drive them out of Australian waters.
As part of that operation the navy fired into the water in front of the ship. The prime minister John Howard claimed the asylum seekers had thrown their children into the sea. This was a lie, intended to slander refugees during an election that Howard wasn’t sure he would win.
And who managed the 2001 election campaign which slandered refugees from the Taliban with the “children overboard” lie and put anti-refugee rhetoric at its centre? Scott Morrison, the current prime minister of Australia who is being faulted for failing to save Afghan workers.
After the “Children overboard” incident, the government hired a dodgy company that claimed to be able to identify the “true” origins of asylum seekers from their accent and speech. This company redefined Afghan refugees as Pakistani tribesfolk so their claims could be rejected.
Between 2001 and now, except for a brief period under Labour, the Australian government has incarcerated all refugees coming by boat in concentration camps on Nauru and Manus Island. A total of 786 Afghan refugees fleeing the Taliban were imprisoned on Nauru in 2001-2002.
Since 2012 about 4000 people have been incarcerated on Pacific islands. Of the 217 people still incarcerated, 165 (72%) have been there over a year, and 3 have been there more than 4 years. They will never be resettled in Australia. tinyurl.com/4rkhn5nm
Only 29 of the original 244 Afghan refugees on the Tampa were ever resettled in Australia. New Zealand took 208 of them.
Managing the offshore processing camps costs about 800 million dollars per year, because Australia would rather burn money than allow a single Afghan refugee to land.
Australia’s “Pacific solution” dumps vulnerable and desperate people in cruel concentration camps far from Australia, and abandons them there with no hope of a future. The residents of these camps have constantly protested but the government just increases the cruelty.
And don’t doubt that almost every senior journalist or defence policy think tank worker who is crying over the abandonment of Afghan workers in Kabul today, was either defending or ignoring this policy over the past 20 years.
It’s no surprise that these Afghans have been abandoned, and any senior media or policy commentator in Australia who tells you they are surprised and disappointed is either a fool or a liar.
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Follow up on my tweets from yesterday complaining about the new economist report on how “autocratic” countries over-state their GDP. I will analyze the paper this article references, and show a range of sleight-of-hand and maths errors in this work.
This is an excellent and egregious example of how economists don’t understand and/or misuse statistical tools. I will be referencing this version of the work the Economist is discussing – there are many versions, this one is the most recent (2021). bfi.uchicago.edu/wp-content/upl…
The first sleight of hand is the confusion of levels and rates of growth. The author builds a theory of the relationship between *growth* in night time light (NTL) and *growth* in GDP (first two pics). But their final model (eqn 6) analyzes ln(GDP) – a level not a rate!
It’s so exhausting dealing with this torrent of bad-faith data “analysis” from the Economist. The latest is an analysis of satellite data on night time lights and gdp growth that suggests “autocratic” states fiddle their numbers on gdp growth. economist.com/graphic-detail…
For starters it’s obvious bad faith. This figure from the report it references shows the gdp growth and night time light growth for “free” and not-“free” countries. The assumption this is dishonest rather than just a different growth relationship is so condescending.
Anyone who has been to a rapidly growing low- or middle-income country knows they don’t have the same lighting as rich countries. This is “partly free” (?!) Dhaka. Bangladesh isn’t prioritizing street lights and has a different urban landscape to Tokyo (which is “free”).
@dakekang and @huizhong_wu your reporting on prison rates in your latest article about Xinjiang is wrong and misleading. Assuming your linked list is true, the imprisonment rate is not “the highest anywhere in the world” and your numbers are just wrong.apnews.com/article/religi…
First, you report that US prison rates are 364 per 100000. This is not correct. The number is actually 537, but you didn’t include US Jails in your figure. Please correct it. We don’t need more articles understating the USA’s incarceration epidemic.
Second, you say that the Konasheher country rate (3789) is “the highest known imprisonment rate in the world”. This is false, because you compare a county with countries. There are *many* counties in the USA with higher rates. See e.g. Indiana.
Hong Kong has experienced a wave of #covid19 cases and deaths, and some media are blaming this on Chinese COVID vaccines, saying they don’t work. Let’s talk about whether this is true, and the implications for global vaccine equity of vaccine misinformation.
A recent presentation by Hong Kong University (HKU) professors has been used by the usual China “experts” and journalists to argue that reliance on China’s vaccine, Sinovac, compared to BioNTech’s mRNA vaccine was a bad idea, with tweets like this.
Let’s look at this slide in detail. 2-dose Sinovac gives 77% protection against death in over 60s, but 3-dose Sinovac gives 98% protection. This is weird, and it suggests that there’s more to this story than a weak vaccine: Risk profile and timing. Let’s look at these.
Remember in 2020 there was a map showing how well-prepared different countries were, which received widespread derision for its terrible accuracy? I analyzed the underlying data to see how poorly it predicted pandemic outcomes.
The map is based on the Global Health Security Index, a numerical measure of pandemic preparedness compiled by Economist Impact in collaboration with Johns Hopkins and others. There is a published report, with a clear methodology. ghsindex.org
The data is available from their website, giving 195 countries an overall score and also scoring them on six sub-domains which measure things like anti-microbial resistance (AMR) preparedness, adherence to international health regulations, and so on.
This week 10 years ago I first visited Minamisoma, and began a five year long collaboration with the local community studying nuclear, tsunami and earrthquake disaster response and recovery. A thread about my research and what we learned.
When the Great East Japan Earthquake and Tsunami hit I was a brand new assistant prof, living in Tokyo for two weeks. Almost as soon as it happened all the Japanese students from the dept I worked in headed north to help with recovery. [I took these photos in Feb 2012]
They all went to a small town called Minamisoma, very close to the Dai-ichi Nuclear plant, that was partially evacuated after the incident. First they did health checks but soon were asked to help with other things. [Map source: Morita et al, PLOS ONE, 2018]