Don Martin: The fall of Justin Trudeau has begun

[jcpro]

Are you saying the free market didn't work?

Biden.gave you a lesson in "free market " did he not? Oh, I forgot , you haven't noticed.

 

[Darts]

The Liberals always treated Alberta as a colony to be raped for its oil resources. Trudeau the Elder forced Alberta to sell its oil domestically at below market prices and as a cash cow in the equalization payments to mainly Quebec.

 

[enricotheman]

JT is not a good leader but he is not insane and he listens to his professional advisors, that ought not to be worth shit all but in today's world it is. The conservatives run awful candidates that have zero appeal and JT keeps winning.

It is the same deal with Ford, Ford is not insane and for the most part he does listen to his professional advisers, the liberals and the NDP run awful candidates that have zero appeal and DF keeps winning.

With regards to the convoy, he should have gone hard on them the second they handed in that MOU, he just let that shit fester.

I don't see Trudeau going anywhere anytime soon. I agree the candidates representing the other politica parties would have to be pretty popular for him to lose

 

[Frankfooter]

Biden.gave you a lesson in "free market " did he not? Oh, I forgot , you haven't noticed.

So now you say Biden was responsible for no new refineries being built in NA for the last 25 years?
Don't forget to blame Biden for WWII.

 

[jcpro]

So now you say Biden was responsible for no new refineries being built in NA for the last 25 years?
Don't forget to blame Biden for WWII.

Actually, you're saying it.

 

[Frankfooter]

Actually, you're saying it.

Oh snap.

Hey, might as well get back on topic.
Is Trudeau still PM?

 

[jcpro]

Oh snap.

Hey, might as well get back on topic.
Is Trudeau still PM?

You mean this guy?

RCMP Commissioner Brenda Lucki accused of interfering in N.S. mass-shooting investigation to help Liberal government’s gun-control agenda

The Mass Casualty Commission released supporting documents and notes involving a conversation with Commissioner Brenda Lucki and RCMP officers overseeing the Nova Scotia investigation

www.theglobeandmail.com

 

[poker]

Which one would you choose:

She’s actually done the tough work in politics as well… Pierre just gets to sit back and criticize. He’s never had to budget a fucking thing in his life.

Still… it’s not even a guarantee she replaces him as leader.

I do agree, JT needs to go. More than half the population has lost faith. Still… righties will trash any leader the Liberals vote in…. Oh wait, that’s what I just said Pierre is good at. Ahhh. Righties.

 

[poker]

BTW…. How many times have we predicted the fall of JT now? 16, 17 times?

 

[Mr.Know-It-All]

The commie can't stop, won't stop.

Trudeau’s Party Passes Bill to Regulate Social Media, Streaming

Canadian lawmakers passed a controversial bill that aims to regulate programming distributed by media streaming services and social platforms like Facebook and YouTube, a measure that critics warn could infringe on individual speech.

www.bloomberg.com

 

[Frankfooter]

You mean this guy?

no

 

[bver_hunter]

Get outside from time to time, maybe talk to people. Who knows, you might learn something.

So called "advice" from jcpro. Guess, I have to talk to those who religiously watch Fox News, Alex Jones and all those crazy right wing media.....................Bahahahahahahahahahaha!!

 

[WyattEarp]

Pre-covid food production was riding increased global productivity and land usage.
72% of staple crops are grown in 5 countries, its more fragile then you would think.

The world was already close to food emergency before the Ukraine war.
Climate change has already lessened output by 21%.

Climate change cut global farming productivity 21% since 1960s

Despite important agricultural advancements to feed the world in the last 60 years, a new study shows that global farming productivity has fallen 21% since the 1960s - the equivalent of losing about seven years of farm productivity increases - all due to climate change.

www.sciencedaily.com

Crop Failures More likely in Warmer, Dryer World - Woodwell Climate

Models predict increasing crop failures in world's major breadbaskets over next three decades. Water availability will dictate resilience.

www.woodwellclimate.org

Radware Bot Manager Captcha

iopscience.iop.org

I'm sorry, but this was an erroneous post above. Misleading....intentionally or not. I gave some thought to this Cornell professor model's breaking down recent agricultural productivity gains and his analysis purporting slower gains due to climate change. But first, let me respond to some of the more misleading and puzzling points.

The fact that you stated that 72% of staple crops are grown in 5 countries doesn't tell us a whole lot. What is the historical data by country on staple crops? Is this actually a new phenomenon? Shouldn't we expect the largest countries with the largest land masses with historically favorable conditions to produce large quantities of food? Has incredible productivity pushed some of these countries further ahead in food production? As one would expect, the top five food producing countries also happen to be in the top five in land mass. No surprise, most of the top five's land mass is not near the equator.

Your point Climate change has already lessened output by 21%. You referenced a Cornell professor's research. Based on his model's predictive calculations climate change caused productivity "growth" to slow 21%. Output is not slowing and in fact has grown steadily until the COVID outbreak. In fact, agricultural productivity is also growing.

 

[WyattEarp]

Climate change cut global farming productivity 21% since 1960s

Despite important agricultural advancements to feed the world in the last 60 years, a new study shows that global farming productivity has fallen 21% since the 1960s - the equivalent of losing about seven years of farm productivity increases - all due to climate change.

www.sciencedaily.com

Crop Failures More likely in Warmer, Dryer World - Woodwell Climate

Models predict increasing crop failures in world's major breadbaskets over next three decades. Water availability will dictate resilience.

www.woodwellclimate.org

Radware Bot Manager Captcha

iopscience.iop.org

As far as this Cornell professor's predictive model applied in retrospect, anyone who studies economics knows how difficult it is to predict productivity. Over time, you can look back at the inputs, productivity and the output and make generalized statements about historical productivity. Productivity is often acknowledged in economics as the invisible magic that is hard to exactly pin down. (The "invisible magic" can be as simple and immeasurable as one successful farmer telling another farmer that he waits until May to plant his crop.) It's a big leap for this professor to say he can isolate the impact of climate change on productivity from all the other factors that impact output.

To dramatize the myriad of problems predicting agriculture productivity is soil conditions. The same farmer could have plots of land on both sides of a river. He could use the same equipment, apply the same techniques including irrigation, but have very different outcomes due to soil and other geological conditions. Now try to model this across 5 billion hectares of land across hundreds of countries.

I'd go even further with this argument and say modern agriculture techniques are now being applied in regions that have had historically poor agricultural output. It would reason even after applying the same inputs it could be expected that output per acre would not match regions with ideal food growing conditions. Anyone familiar with economics recognizes this as the law of diminishing marginal returns or as the principle of diminishing marginal productivity. In this example, the world is applying modern agriculture equipment and inputs to less than ideal land. So how can a model possibly isolate and measure all these variables impacting output? The most reliable data in determining agriculture performance is output.

Now one would obviously ask why would a Cornell professor have cause to build a model that manipulates data to support a preconceived conclusion. It happens all the time. It could be an unintentional bias. Or it could be a bias influenced by personal beliefs, research dollars, advancement and prestige.

 

[Frankfooter]

I'm sorry, but this was an erroneous post above. Misleading....intentionally or not. I gave some thought to this Cornell professor model's breaking down recent agricultural productivity gains and his analysis purported slower gains due to climate change. But first, let me respond to some of the more misleading and puzzling points.

The fact that you stated that 72% of staple crops are grown in 5 countries doesn't tell us a whole lot. What is the historical data by country on staple crops? Is this actually a new phenomenon? Shouldn't we expect the largest countries with the largest land masses with historically favorable conditions to produce large quantities of food? Has incredible productivity pushed some of these countries further ahead in food production? As one would expect, the top five food producing countries also happen to be in the top five in land mass. No surprise, most of the top five's land mass is not near the equator.

Your point Climate change has already lessened output by 21%. You referenced a Cornell professor's research. Based on his model's predictive calculations climate change caused productivity "growth" to slow 21%. Output is not slowing and in fact has grown steadily until the COVID outbreak. In fact, agricultural productivity is also growing.

Thanks for taking the time to read the article.

The fact that 72% of staple crops are grown in 5 countries does tell us that staple exports are definitely effected by climate issues and war. Ukraine supplies 25% of the world's wheat exports, IIRC. Combine that with India ceasing all exports, the continuing droughts in the US and Australia and you can see that food production is susceptible to massive change.

I don't think the Cornell study is misleading, if anything maybe my post about it wasn't clear. Yes, agricultural productivity is growing as family farms are wiped out and big ag takes over. That's a good thing considering population growth, but its also not good that a good chunk of that growth was already eaten up by climate change. Nobody has really shown how much further this productivity will take us, and we may find out with fertilizer shortages this year.

 

[Frankfooter]

As far as this Cornell professor's predictive model applied in retrospect, anyone who studies economics knows how difficult it is to predict productivity. Over time, you can look back at the inputs, productivity and the output and make generalized statements about historical productivity. Productivity is often acknowledged in economics as the invisible magic that is hard to exactly pin down. (The "invisible magic" can be as simple and immeasurable as one successful farmer telling another farmer that he waits until May to plant his crop.) It's a big leap for this professor to say he can isolate the impact of climate change on productivity from all the other factors that impact output.

To dramatize the myriad of problems predicting agriculture productivity is soil conditions. The same farmer could have plots of land on both sides of a river. He could use the same equipment, apply the same techniques including irrigation, but have very different outcomes due to soil and other geological conditions. Now try to model this across 5 billion hectares of land across hundreds of countries.

I'd go even further with this argument and say modern agriculture techniques are now being applied in regions that have had historically poor agricultural output. It would reason even after applying the same inputs it could be expected that output per acre would not match regions with ideal food growing conditions. Anyone familiar with economics recognizes this as the law of diminishing marginal returns or as the principle of diminishing marginal productivity. In this example, the world is applying modern agriculture equipment and inputs to less than ideal land. So how can a model possibly isolate and measure all these variables impacting output? The most reliable data in determining agriculture performance is output.

Now one would obviously ask why would a Cornell professor have cause to build a model that manipulates data to support a preconceived conclusion. It happens all the time. It could be an unintentional bias. Or it could be a bias influenced by personal beliefs, research dollars, advancement and prestige.

I don't think its that impossible.

There is a shit ton of ag research out there, tons of industry monitoring of productivity and weather/climate. Sales are global and tracked.

Canada's output was down around 40% last year, IIRC. You can look at those numbers and figure out how much is extreme weather. Globally everywhere is having climate issues.

Global Wheat Production Challenged Everywhere It Grows, Keeping Upward Pressure on Prices

Every major wheat-growing region faces either weather or geopolitical risk this year. That'll push prices higher for farmers while raising potential food security concerns in poorer countries.

www.dtnpf.com

Even your two field farmer example is averaged out in the big picture, which is what matters.