Chief Stipe

BOAY isn't just a racing site. Your politicsl ramblings and lack of racing knowledge are evidence of that.

Google it.

What's your evidence? You said:

Based on what evidence? You've made an incorrect assumption like the basis for every post you write.

So you speak for all of us now? Typical socialist.

Cool - you've learnt something today. Commonsense and published information.

Your understanding of the English Language is as selective as your analysis on any topic. Decent - can mean good or adequate.

Meanwhile you are drowning in Beg Borrow And Print Robertson's Red Ink. As for an All Up bet just shows how good a punter you are. An All Up bet isn't on any decent punters option list!

Back to your normal obnoxious self. Your analogy is spurious and flawed. I might not pay the same on PPV to watch those two fights however I might bet the same amount or more on one if the value was better. An even quality field will likely return more betting yield than a field of mugs with a standout hot favourite. The former therefore has a better chance of less stakes subsidisation. Comprendez?

Isn't the subsidisation related to the potential return from betting on the race rather than the class of horse?

Is this the smoking gun for the Covid lab leak? Blueprint for creating a 'SARS-CoV' virus with an altered spike protein in Wuhan was published in 2018, bombshell new records show www.dailymail.co.uk Is this the smoking gun for the Covid lab leak? Blueprint for creating a 'SARS-CoV' virus with an altered spike protein in Wuhan was published in 2018, bombshell new records show By Alexa Lardieri U.S. Deputy Health Editor Dailymail.Com 08:27 AEDT 20 Dec 2023 , updated 08:29 AEDT 20 Dec 2023 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 517shares American and Chinese scientists proposed experimenting with spike proteins Ultimately, it was not selected for a grant and the project did not move forward READ MORE: Sen Rand Paul goes nuclear over 'Covid cover-up' A newly-uncovered trove of documents detailing plans to create a Covid-like virus in China months before the pandemic make the 'lab leak almost certain', experts say. ADVERTISEMENT The records - obtained now by FOIA requests - lay out a plan to 'engineer spike proteins' to infect human cells that would then be 'inserted into SARS-Covid backbones' at the infamous Wuhan virology lab from December 2018. Just a year later, in late 2019, the Covid-19 virus emerged with a uniquely adept ability to infect humans, going on to cause a global pandemic. The proposal was made by the now-notorious EcoHealth Alliance, a New York nonprofit that channels US government grants abroad to fund these types of experiments. Ultimately, the application was denied by the US Department of Defense, but critics say the plans laid out in the proposal serve as a 'blueprint' for how to create Covid, and inadvertently start a pandemic. The above is an excerpt of an email from the March 2018 DEFUSE proposal showing a comment from PD - Peter Daszak. Shi Zhengli - dubbed the 'Bat Lady' or 'Bat Woman' for her work on bat coronaviruses - investigated the possibility Covid could have emerged from her lab back in 2020, according to colleagues Dr Peter Daszak (pictured left alongside Dr Anthony Fauci) oversees EcoHealth Alliance The documents also show how EcoHealth deliberately tried to mislead the Pentagon on how risky the experiments were to secure funding. Sen Rand Paul - who has been a vocal supporter of the lab leak theory - added the documents further support of the 'deception' used by players tied to the Wuhan lab. Matt Ridley, a biologist and science writer who has written extensively about the potential lab leak in the past, said: 'This latest [document] leak makes the case for a lab leak almost certain. 'A reckless experiment, known at the time to be reckless, probably caused the death of millions of people. 'Scientists and the media conspired to conceal the evidence. Let that sink in.' The documents were obtained by nonprofit public health research group US Right to Know, which has previously been accused of fueling anti-vaccine sentiments. The grant proposal was entitled Project DEFUSE: Defusing the Threat of Bat-borne Coronaviruses. ADVERTISEMENT It proposed engineering high-risk coronaviruses of the same species as the original SARS to preempt a human spillover and develop vaccine technology and strategies. The National Institutes of Health (NIH), under Dr Anthony Fauci 's leadership, infected 12 Egyptian fruit bats with a 'SARS-like' virus called WIV1 sent from the Wuhan Institute of Virology at a lab in Montana in 2018 Eight novel viruses, including one belonging to the same family as Covid, were recently found in labs across China Between 2015 and 2023, at least seven US entities supplied NIH grant money to labs in China performing animal experiments, totaling $3,306,061 The team sought to synthesize spike proteins with furin cleavage sites that had been designed to bind to human receptors more easily. The furin has been one of the focal points of debate about Covid-19's origin, with some experts claiming it could only have been acquired through lab experiments. The grant then proposed attaching the furin to coronavirus strains and infecting mice to see how ill it would make them. The plan was then to use drugs and vaccines to treat the disease. Dr Richard Ebright, a chemical biologist at Rutgers University in New Jersey, told DailyMail.com: 'These revelations are important because the experiments in the grant proposal likely - indeed highly likely - led to the creation and release of SARS-CoV-2.' The above is an email from Peter Daszak to researchers included in the 2018 proposal The above is an email from Peter Daszak to researchers included in the 2018 proposal talking about work to be done by scientists as part of the project The grant proposal has raised concerns and some say it serves as further support of the Covid lab leak theory - that the virus was borne out of gain-of-function research bankrolled by the US taxpayer through Dr Anthony Fauci's former department, a theory the FBI and other government agencies now subscribe to. The principal investigator on the project is listed as Peter Daszak, president of EcoHealth, a now-notorious health agency that uses US government money to sponsor there's types of experiments abroad. Other team members listed on the proposal include researchers from Duke-NUS Medical School, University of North Carolina, the USGS National Wildlife Health Center, Palo Alto Research Center and the Wuhan Institute of Virology, the lab where Covid is believed to have originated from. ADVERTISEMENT The proposal listed Professor Shi Zhengli - been dubbed the 'bat lady' for her extensive work on bat coronaviruses at the WIV - as the lead on the project in Wuhan. Additionally, Dr Ralph Baric was listed as a subcontractor on the project. Dr Baric is a known expert in making recombinant coronaviruses. The documents show the experiments were proposed to take place at the WIV, which has fewer safety precautions for working with pandemic-potential specimens than the US, which was advertised to the DoD as cost-saving. The American scientists concealed the lack of safety precautions from DARP in order to avoid national security concerns about conducting high-level biosafety research in China. In initial proposals for DEFUSE, the lab work was to be done in a biosafety-level 2 lab, which researchers said would appeal to DARPA grant-makers as 'highly cost effective' despite the fewer safety precautions taken in lower-level labs Dr Baric acknowledged in an edited version of the proposal US researchers would 'freak out' if they knew novel coronavirus engineering and testing was being done in a BSL-2 lab. Similar experiments in the US are conducted in BSL-3 labs. A later version of the proposal changed BSL-2 to BSL-3. Biosafety levels range from one to four, with four being the strictest and experimenting on the most dangerous pathogens. Dr Baric wrote: 'In the US, these recombinant SARS-CoV are studied under BSL3, not BSL2, especially important for those that are able to bind and replicate in primary human cells.' ADVERTISEMENT BSL-2 labs feature ventilated safety cabinets and researchers must wear surgical masks and lab coats. Experts say pathogen with the possibility of being transmitted through the air should be, at a minimum, performed in a BSL-3 lab, which has researchers in more protective respirators. Dr Ebright told DailyMail.com: 'The new documents reveal that EcoHealth Alliance planned to use US Department of Defense funds to perform high-risk virus experiments at WIV at a biosafety level that was inadequate for research with a potential pandemic pathogen.' He added: 'The new documents also reveal that EcoHealth Alliance deliberately concealed these plans - both the plan to perform high-risk experiments at WIV and the plan to perform them using inadequate biosafety protections - from the US Department of Defense in order to improve the chances of receiving funding.' Dr Ebright tweeted: 'At this point, there is sufficient evidence to conclude, beyond reasonable doubt, that SARS-CoV-2 entered humans through a lab accident.' While people who believed and promoted the lab-leak origin were initially accused of being xenophobic and pushing a conspiracy theory, the FBI and several other governmental agencies ascribe to this theory. EXCLUSIVE: America's frightening new bat lab: $12m taxpayer-funded NIH research facility in Colorado will import bats from Asia and infect them with deadly diseases - in project with China-linked scientists A new taxpayer-funded lab is being built in Colorado that will import bats from around the world and experiment on dangerous diseases, DailyMail.com can reveal. The formal DEFUSE grant proposal states the engineering of the coronavirus spike protein would be carried out by Dr Baric in North Carolina. However, in an earlier comment on the proposal, Daszak said WIV will actually be doing most of the work but this fact was left out of the proposal to make DARPA more 'comfortable' with the details. Dazsak said in an email: 'If we win this contract, I do not propose that all of this work will necessarily be conducted by Ralph, but I do want to stress the US side of this proposal so that DARPA are comfortable with our team. 'Once we get the funds, we can then allocate who does what exact work, and I believe that a lot of these assays can be done in Wuhan as well.' ADVERTISEMENT In another comment, however, Daszak reiterates his desire to stress the US-focus of the project. He wrote: 'I am planning to use my resume and Ralph's [Baric]. Linfa/Zhengli, I realize your resumes are also very impressive, but I’m trying to downplay the non-US focus of this proposal so that DARPA doesn’t see this as a negative.' In a statement Tuesday, EHA called the documents ' incomplete' and said the 'allegations are false based on misunderstanding of edits and comments on the document, and based on misleading out-of-context quotations and a lack of understanding the process by which federal grants are awarded.' Justin Goodman, president of The White Coat Waste Project, a watchdog group fighting to stop sending American tax dollars overseas to fund dangerous virus research, told DailyMail.com the documents prove US tax dollars have 'footed the bill for the shady EcoHealth Alliance and their comrades at the reckless Wuhan lab to supercharge coronaviruses in dangerous gain-of-function experiments.'

But it's so obvious why block the view of one of Trenthams best assets?

I think @Brodie is on the money when he says there arent enough horses going round. Any rating system would struggle with a declining horse population.

Interestingly I see a one race trial meeting at Matamata this Friday has been added to the calendar. An Open 1000m with 11 nominations. Shame it isn't a betting race! Plc Horse Jockey Trainer 1 Maven Belle (4m Burgundy - Doyenne) Mark Walker & Sam Bergerson, Matamata 2 Talisker (3g Embellish - Glenkinchie (AUS)) Mark Walker & Sam Bergerson, Riccarton Park 3 Amusez Moi (7g Dalghar (FR) - Next (GB)) Benjamin King, Matamata 4 Wild Night (4g Vanbrugh (AUS) - Supreme) Mark Walker & Sam Bergerson, Matamata 5 Trobriand (AUS) (3c Kermadec - Arboreal (AUS)) Mark Walker & Sam Bergerson, Matamata 6 Babylon Berlin (AUS) (6m All Too Hard (AUS) - You Can't Say That (AUS)) Ben & Ryan Foote, Cambridge 7 Mehzebeen (4m Almanzor (FR) - Salkantay) Mark Walker & Sam Bergerson, Riccarton Park 8 Maria Farina (6m Contributer (IRE) - La Vitesse) Darryn & Briar Weatherley, Matamata 9 Bonny Lass (5m Super Easy - Posh Bec) Graham Richardson & Rogan Norvall, Matamata 10 Legarto (4m Proisir (AUS) - Geordie Girl) Ken & Bev Kelso, Matamata 11 Masetto (8g Cape Blanco (IRE) - Passchendaele)

Didn't realise the problem was country wide. Just thought it might have been a few top trainers complaining. I wonder if Winnie will give a refund on the synthetic tracks? He has another $1.3 billion to throw around. Assuming Christchurch is still classified as a provincial town.

EU countries destroy €4B worth of COVID vaccines – POLITICO www.politico.eu At least 215 million doses of COVID-19 vaccines purchased by EU countries at the height of the pandemic have since been thrown away at an estimated cost to the taxpayer of €4 billion, an analysis by POLITICO reveals. And that's almost certainly an underestimate. Since the first coronavirus vaccines were approved in late 2020, EU countries have collectively taken delivery of 1.5 billion doses (more than three for every person in Europe). Many of these now lie in landfills across the Continent. Calculations based on available data show that EU countries have discarded an average of 0.7 jabs for every member of their population. Top of the scale is Estonia, which binned more than one dose per inhabitant, followed closely by Germany, which also threw away the largest raw volume of jabs. If this average waste rate is projected across the rest of the EU, it would equal more than 312 million destroyed vaccines. You may like Building safer spaces for teenagers online Rishi Sunak resists Boris Johnson pile-on at COVID inquiry New EU short-term rental rules are an example to the world By Nathan Blecharczyk, co-founder and chief strategy officer, Airbnb It's not easy to discover how many vaccines have been thrown out. Governments, including the EU's second-most populous country France, are reluctant to reveal the scale of the waste. POLITICO's calculations are based on numbers from 19 European countries — 15 that supplied us with direct figures, and four where volumes were reported in local media. Some figures date from as recently as this month; the oldest come from December 2022. The passage of time means the figures we received are conservative, with the real number of discarded vaccines likely much higher. Germany, for example, provided its waste figures to POLITICO in June; at the time it had another 120 million vaccines sitting in storage. Vaccine-makers have also since introduced newer versions that are adapted to the latest coronavirus variants, making older jabs obsolete and more likely to be discarded. POLITICO estimates the value of the 215 million wasted vaccines at more than €4 billion, based on vaccine prices reported in the media (they have not been made public). For countries that only reported the total number of vaccines destroyed, without breaking it down by vaccine type, POLITICO used a weighted average price of €19.39 calculated from data given by countries that provided a breakdown. Again, this figure is almost certainly a minimum. But even €4 billion is a considerable sum, equal to a large infrastructure project or to the annual health care spending of Croatia. Many of the vaccines in question were purchased at the height of the pandemic in 2021 when the EU, the U.S. and the U.K. were all scrambling to secure a limited number of doses. It was during that frenzied time that the EU entered into its single biggest contract to purchase 1.1 billion doses from Pfizer and BioNTech. It's easy to forget how uncertain things were in 2021, and the EU deal was lauded at the time. But both the size and the timing of the agreement turned out to be problematic. Countries were locked into buying doses even as the pandemic subsided, while efforts to donate excess jabs to third countries were thwarted by falling demand and logistics issues. The repercussions are more than financial. Questions around how the big Pfizer contract was negotiated have dogged Commission President Ursula von der Leyen ever since the New York Times reported that the EU chief had exchanged messages with Pfizer's CEO in the run-up to the deal. The contract has already been renegotiated by the European Commission under pressure from EU countries suffering from a vaccine glut. Both Poland and Hungary stopped accepting vaccines and are being sued by Pfizer for non-payment. In Romania, prosecutors want to lift immunity for its former prime minister and two former health ministers, claiming excessive vaccine purchases caused more than €1 billion in damages to the state. In the meantime, the jabs will keep coming, with the revised contract with Pfizer locking European countries into buying vaccines until at least 2027. https://www.politico.eu/article/europe-bonfire-covid-vaccines-coronavirus-waste-europe-analysis/

There are enough horses turning up for trials but talking to a few trainers the race programming frustrates the hell out of them. If they don't sort that out then the higher grade issues will never improve primarily because there won't be enough horses given the opportunity to climb the grades. Further with regard to trials there aren't any turf track trials in the Aucland/Waikato region for over a month except for yesterdays trials on the synthetic at Cambridge. For obvious reasons some of the best trainers won't go near that track at this time of year with their 2 and 3 year olds. Rumour has it that some are organising their own informal jump outs to fill in the gap. That doesn't help Clubs, programming or Punters or any stake holder.

In my opinion she's too good not to get back to the elite level depending on her recovery from the injuries. Probably needs to choose her friends better and drop a few of the parasites. Any number of great jockeys have slipped off the saddle for a period. They are all flawed in some way at some time.

How would a new rail stop a bigger dog forcing a dog down onto the fence? A good competitive dog will do that.

They drug tested her as part of the investigation. She returned a negative result. She is recovering from a serious accident and head injury. With regard to "dodgy shit" her biggest crime has been breaking a Covid mandate. You could arrest me on that sort or transgression. I don't see her tapering at all but she will slowly came back. She rode a metro winner at the weekend. What's your beef with her?

Kah wasn't "caught sniffing white shit". Were you tested as much as she was?

Didn't they own Rangiora?

Well I'm surprised that Harness Racing Victoria hasn't sued Profits aka @Archie Butterfly arse off. Wrong yet again. 2023-12-18-Racing-Integrity-Commissioner-Findings-Investigation-into-Allegations-of-Conflict-of-Interest-at-HRV-Public-Statement.pdf

@Huey how the hell did the Club get away with allowing that to happen?