An Giang info: Youtube daily report Aug 22 2018

alright guys how's it going and I hope you're having a great day today I'm

gonna be talking about seven reasons why you may not be losing fat even if you

you think you're eating low calories in your diet so overall calories right

calories in that debate about whether calories matter or they don't they do

okay and the majority of the research has shown this the only people saying

that calories don't matter at all and it's due to insulin are those pushing a

very very specific diet I have nothing against killer genic diets I've actually

had a somewhat of a good experience on it myself from time to time but the idea

that insulin and hormones are the sole perpetrator you know the reason why

we're getting fat as a society simply isn't true

in fact carbohydrates and refined sugars have actually been decreasing at least

in the u.s. since 1999 yet obesity is increasing that's because we're eating

more food and we're more sedentary we're on a computers were on our phones we're

eating more calories overall and that's the primary determining factor as to why

we're getting fatter as a society and there is no denying this your body needs

energy to survive and it has stored energy and it also has the potential

energy that's in food like an avocado salad or whatever so if you don't give

it enough food meaning you're in a calorie deficit your body still wants

energy and it's gonna take away that energy from itself hence why a calorie

deficit and all circumstances leads to weight loss but there are many people

out there that you know think that eating low calories and they're not

really getting results so that confused and that's what I want to talk about I

want to talk about seven reasons why you may not be losing weight so the first

point I want to emphasize is that you need to be patient for example if you

have calculated your maintenance calories and you've dropped your

calories 500 under your maintenance this is gonna be a 3500 calorie deficit for

week meaning in theory you're gonna lose a pound of weight hopefully fat per week

now you need to understand that you're not gonna be seeing the results of this

visually by any significant manner until four five six even

weeks have passed so you need to be more patient if you're dropping your calories

only 500 onto your maintenance and you're expecting to look like Hercules

and be ripped out of your mind in like three weeks time then you're simply not

being patient enough so many people will see a lack of results from dropping

their calories and being in a calorie deficit and after three weeks they start

to come to the conclusion that calories don't matter and it's about the types of

foods you eat then I'll drop the carbs they'll lose water weight and then boom

they've come to the logical conclusion conclusion that lowering carbon take

will lead to greater fat loss but it's simply not true and unless you're gonna

do very aggressive fat loss which can be a good idea sometimes you just need to

be more patient and track your weight accurately and maintain a close eye on

how your body is changing to reassure yourself that you are getting results

you need to trust and the process that a calorie deficit is gonna work you need

to trust in that fact that it is going to work so the next thing I want to talk

about is something called metabolic adaptation our metabolism consists of

four parts are the first is something called meat or non-exercise activity

thermogenesis this basically describes the variation and the amount of energy

you burn and expend the amount of calories you burn per day by doing

different activities for example me standing here and filming this video is

going to cause me to burn more calories than sitting in my room and just

watching a youtube video so there are small variations in people's daily lives

like somebody who taps their leg constantly at their desk versus someone

who's completely still and this small variation in non-exercise activity

thermogenesis leads to a difference in the amount of calories you burn next to

something called your BMR your basal metabolic rate which basically consists

of the majority of your metabolism 60 70 % of it your basal metabolic rate is

basically your body using energy to carry out its fundamental processes for

survival for example your organs such as your brain this is a very

metabolically active organ which requires a lot of calories so this is an

example of one component of your basal metabolic rate keeping you alive or

where our bodies are always utilizing energy calories to keep us alive

next is eat exercise activity thermogenesis this is quite

self-explanatory it's when you're actually exercising not when you're

walking around or tapping your leg that's when you're actively going to the

gym for 60 minutes and you're doing a full body strength training workout this

is eat exercise activity thermogenesis and this burns a lot of calories more or

less depending on how long you do it for and what type of exercise you do and

finally we have thethe TEF the thermic effect of food so basically all food

that we consume whether it be carbs fat or protein requires energy to digest but

the thermic effect of food describes the fact that different types of food are

more thermogenic than others there's a difference between carbs and fat and

protein a protein being the primary example as out of all the macronutrients

it's the most thermogenic meaning at bones and low calories it essentially

boosts your metabolism which is one of the many reasons why protein tends to be

the food of choice which is recommended when you're trying to lose weight as

well as the fact that it helps to reduce your appetite that's very satiating so

that describes the thermic effect of food and protein by far is the most

thermogenic so why are these things even relevant well the idea is that when you

drop your calories you get yourself into a circumstance where these four

components are affected right you may be changing the amount of exercise you're

doing because you don't have as much energy your basal metabolic rate is the

main factor contributing to your overall metabolism right so as you lose weight a

smaller body is going to require less energy and this is why you can't

maintain a 500 calorie deficit forever because at some point you're going to

get to the point where that that 500 calorie deficit let's say 2,100 calories

is your new maintenance calories so you're not going to be able to eat that

same amount of food and losing weight because your body simply

requires less energy so this is why weighing yourself very accurately is

important so you can track your progress and you can see very clearly the effect

that the amount of calories is having on your weight and your body as the week's

progress so this is why you need to learn how to track your weight very

accurately and this is something I'm going to explain how to do in detail on

one of these other points so this is the next point where we're gonna talk about

how to weigh yourself properly but first let's talk about the next reason which

is water retention so especially females males as well we'll see a big

fluctuation and water retention and thus weight females especially because of the

influence of hormones from the menstrual cycle but men and women will experience

water weight changes this depends on what you eat for example if I suddenly

go on a low-carb diet I'm going to shed water and glycogen and I'm going to lose

weight possibly even several kilograms which is why many people get the idea

that low-carb diets work very quickly for fat loss when in reality it's water

and glycogen in the very beginning at least so the idea here is that if you're

not seeing results and maybe because you're not tracking your weight properly

and you need to track it accurately if you're just showing up everyday at a

random time when you're in a full stomach right when you haven't gone to

the toilet and then you weigh yourself and then the next day you weigh yourself

in the morning when you're fasted your weight is going to be completely

different and if you're doing this day by day by day it's gonna take much

longer to see whether you're actually progressing so the way you need to weigh

yourself as to weigh yourself in the exact same circumstances I recommend

every single day in the morning after you pee and poop if you poop in the

morning right and after you do this you're gonna be on an empty stomach you

can weigh yourself at approximately the same time and you can weigh yourself

every single day take an average for the end of the week do the same for the next

week take an average of the end of next week

compare those two numbers if you are not losing fat when you've compared those to

average numbers and you're tracking your calories properly then something's wrong

then that's a signal for you to actually lower your calories even more

but unless you're doing that and you're just going by changes in the mirror it's

much harder to have a good understanding of whether you're actually losing fat in

the beginning stages as well when the change in your appearance isn't as

obvious how you should be calculating your macros unless you're doing

something like the ketogenic diet is like so first you calculate your protein

for example one gram per pound of body weight then you calculate your fat for

example 0.3 grams per pound of body weight then you fill in the remainder of

calories with carbs so for example if you drop your calories after a few weeks

you didn't see results and you're eating 2,500 calories what you would do is keep

your protein and your fat the same and then simply drop another 200 calories

off your diet and just take those away from carbs so you would just take those

200 calories divide them by four because one gram of carb carbs is four calories

and boom you just take your calories away from Hubbs and that's it and see if

you change after another two weeks and so on and so on so the next reason why

you may not be seeing results is because your fat loss dieting program is just

stupid and it's not based on you know the things you should be doing one

example is gonna be resistance training the goal with fat loss is to retain as

much muscle as possible and loose fat rather than just losing weight because

losing weight could mean you're also losing muscle so if you're not doing

things like strength training and you're just endlessly jogging on the treadmill

if you're not eating enough protein then maybe you're losing a bunch of muscle

and you're just you're getting bad results because of that maybe you're

Kelly you don't even know how many calories you're taking in maybe you're

not even in a calorie deficit and you just think you are because you're eating

less whatever that means so make sure you're doing the fundamentals like

progressive overload and a calorie deficit before you start to complain

that all my dieting program isn't even working but you guys are smart so I'm

sure you're not doing that next and this is actually a more positive one you may

be gaining muscle and losing fat simultaneously so as a beginner your

body your muscles are much more sensitive to the stimuli of resistance

training what this basically means is that as a beginner it's much more likely

that you're going to be able to put on muscle at the same time as you lose fat

this is why you can have the really obese guy you can

100 pounds and then reveal a muscular body under but if you take somebody

who's been a powerlifting who's been training for years and years on end and

you put them in an aggressive fat loss calorie deficit then the chance of them

actually building any significant muscle at all is very unlikely and their goal

and in reality is just to try and not lose that much muscle so as a beginner

you may not be seeing change on the scale even if you're tracking your

calories properly and weighing yourself properly because you're actually gaining

muscle so that's why the scale isn't always the best means of tracking your

progress and sometimes the mirror is gonna be more honest with you and you

should focus on that so if you're not seeing results but you think you're

gaining muscle don't all of a sudden go and drop your calories even lower just

because you're not seeing results on a scale now the next point is something

that a lot of guys especially need to be honest with themselves about and um you

know maybe this is funny coming from me I'm not the most muscular guy at the

moment whatever but the truth is a lot of guys don't even have muscle to reveal

as they lose fat now I've had friends in the past who

have done this like constantly trying to lose fat and get ripped but the truth is

that already actually like 10 or 11 percent body fat which is pretty damn

lean by most people's standards but they just don't have that much muscle so they

can't see their abs not because they have more body fat to lose but they just

don't have big enough abdominal muscles and other muscles on their body so you

know getting leaner is just gonna make them look like a I'll switch the victim

it's not gonna make them look more aesthetically appealing so that's

something else to keep in mind you may just need to focus on resistance

training increasing the strength in the gym and eating around may need

maintenance calories or possibly even in a calorie surplus if you're being a bit

delusional with yourself and and you're actually quite lean so that's something

else to keep in mind now the last point is something I really really struggled

with in the past and this is being indecisive with what diet you're doing

whether you're gonna bulk up or cut down seriously

just make a decision and then stick with that for at least six weeks and if it's

for the primary goal of build muscle then at least several months you

don't want to do that whole thing where one week you're trying to lose fat and

then next you're gonna try and build muscle because that's gonna be a

disaster and you're over the course of 12 weeks a few months you're gonna look

at your body and think to yourself damn I look exactly the same I should have

just cut for that entire 12-week period or I should have just focused on

building muscle for that entire 12-week period so look at your body look at your

circumstances try to be as rational and objective about where you are in a way

should be aiming for and then stick to one goal whether it be losing fat

recomposition in your body or bulking up the other thing to keep in mind is that

stop going from low carb diets the high carb diets the ketogenic diets the vegan

diets choose a diet focus on those fundamentals the calories and the

protein and wait and be patient and stop being indecisive with your dietary

decisions you can change I'm not saying pick one thing and become

dogmatic about it but stop going week to week and changing because that's never

gonna be good both from a psychological standpoint you need to be more decisive

with your decisions and stick with something and see what happens with it

um the overall that's probably gonna be the best thing for you long term okay so

those are like the 7 tips 7 reasons why you may not be seeing results even

though you think you've cut down your calories so thank you so much for

watching and if you haven't already enroll in the rip dude program all the

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guys have a great day

For more infomation >> 7 Reasons Why You Can't Lose Fat (Even On Low Calories) - Duration: 15:07.

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Could Scientists Predict the Next Political Crisis? - Duration: 11:14.

For centuries, people have been trying to predict the future.

The Greeks had their oracles; the Romans had their soothsayers.

And today we have… well, for some things, we have scientists.

Like, thanks to the laws of physics, I can tell you with near certainty when the sun

will rise tomorrow, if you give me your exact location.

Technically, it's still not 100%, since some weird freak planetary collision could nudge Earth out of its typical orbit.

But it's a very reliable guess.

Seriously. Don't lose sleep over that.

We're not getting hit by a planet.

As scientists have learned more about how the world works — and we've started feeding

computers a lot of data — we've gotten better and better at making predictions about the future.

In a way, it's surprising how much we can predict.

And yet, there are still these gaping holes, especially when it comes to human behavior.

Do you remember for example, all of 2016.

Psychologists, though, are actually making headway on figuring out how we can learn to be better predictors.

So today, on SciShow, here's what we can and can't predict with much accuracy — and

how science is moving the art of prediction forward.

[♪ INTRO]

Perhaps the best success story — and cautionary tale — for prediction science is the weather.

The forecast used to be not much more than a guess about what the next few days' weather would hold.

But by learning more about how clouds form, and how pressure interacts with temperature,

meteorologists have dramatically improved their predictions in recent decades.

These days, they use complicated computer models that take into account the underlying physics.

And by feeding those models reams of data from a variety of instruments all over the

world, their five-day forecasts today are as accurate as three-day forecasts in 2005.

That's a huge improvement in a pretty short period of time.

And it's not just helpful for planning your weekend cookout.

Getting better with the weather also means we've been able to save more lives during natural disasters.

But while we've improved, we're still pretty bad about forecasting weather much beyond a week.

That's because of inherent unpredictability in the way something like a cloud forms.

We can know every detail of it, but part of it still depends on an initial starting condition.

And according to chaos theory, small changes that you cannot predict will change that outcome.

This is also known as the butterfly effect.

So we can keep learning more and improving our measurements and models, but most of our progress will be incremental.

There's a limit to how accurate long-range forecasts can get.

All things considered, though, weather prediction is pretty darn good, as long as you go in with the right expectations.

On the other hand, there are certain things that you'd think we'd be able to predict

that we just haven't been able to crack.

Like earthquakes.

They're largely a natural phenomenon, which, like weather, you'd think we'd be able

to understand the basics of and then load in a bunch of data to model.

But so far, we can't — at least, not in the same way.

We do know a lot about them, like where they're most likely, based on fault lines and historical data.

But seismologists haven't yet found a signal that reliably precedes a quake that we can follow for advanced warning.

You can detect rumbling just prior to one, but it's not enough time to evacuate an entire city.

We just don't understand the factors that go into how two tectonic plates will interact with each other.

So, the timing and magnitude of any single specific earthquake remains a mystery.

Which is obviously bad for trying to keep people safe.

Maybe, one day, seismologists will discover new basic phenomena that will allow us to

forecast earthquakes with much better foresight.

But it's also possible that we won't.

And without that foundation, earthquakes will remain an enigma that we can only loosely estimate.

It's a reminder that predicting the future depends on mountains of carefully collected

data — which is great, but also sometimes hard to come by.

The vast majority of things that we have real trouble predicting, though, aren't based on the physical world.

There, at least we can partially model things to get some unbiased idea of the probability.

Instead, the real mystery is... you, and me, and us.

Elections, stock markets, political uprisings — things that hinge on people and societies

— these are much more challenging, which is not that big of a surprise.

The classic approach to these questions is to use experts.

After all, if someone knows a lot about a specific country, they should be able to say

with more accuracy whether a foreign leader will make a certain trade deal, right?

Well, it turns out that experts aren't very good at economic and political forecasts.

In one landmark experiment that collected these kinds of predictions from more than

280 experts over nearly two decades, the so-called 'experts' were only a tad better than random guessing.

We'll get back to why scientists think experts aren't very good — it has a lot to do

with how they think and common psychological biases we all fall prey to.

But don't always assume that knowledge is power when it comes to the future.

At least, when people are involved.

The other main way to tackle these sorts of questions is to use data.

For something like an election, you can use polling data — and the more there is, the better.

And if you know a bit about the quality of each poll, you can weight them accordingly

and aggregate them together to get your best guess.

This isn't foolproof, but this type of analytical approach is usually much better than asking a single expert.

Depending on the question you're trying to answer, you can even use artificial intelligence

and machine learning to make forecasts, although this is work in progress.

In machine learning, computers use algorithms, which are basically just a set of rules, to

teach themselves over time.

The advantage here is if you don't actually know how something works — like, say, what

causes political violence — you can feed a computer a bunch of data, and see if it

can find any patterns for you.

So far, this method hasn't pulled off any notable victories — at least, in those tricky

human situations — but it's something to keep tabs on in, that future we've been talking about.

It's all pretty new, but as we keep trying out this technology and improving it, we'll hopefully make some progress.

Okay, so we know that experts aren't as good as we'd think they'd be.

But the whole story is a little more complicated.

Because one of the things that that long-running study found was that some experts are better than others.

Experts who believed in big, grand ideas — like the idea that all governmental regulation

is bad, or that the environment is doomed — generally didn't do so well.

Those who were less wedded to these kinds of concepts, and were willing to change their opinions, did far better.

This suggests that personality and styles of thinking are important for our ability to make good predictions.

And that perhaps, if you're willing, you can learn to get better at it, too.

The strongest case for this comes from a remarkable project sponsored by a US agency called Intelligence

Advanced Research Projects Activity, or IARPA.

It's kind of like DARPA, but for military intelligence.

Back in 2011, IARPA realized that even well-trained intelligence officers weren't so hot at

predicting events, and that maybe they could find a better way.

So they set up a four-year forecasting tournament for people to predict political or economic outcomes.

It was a contest, but also an experiment.

Different teams tried out different ideas for coming up with a strategy to produce the most accurate predictions.

And one team, called the Good Judgment Project, blew the other four out of the water — so

much that the government stopped funding the others just to focus on the winner.

The Good Judgment Project was actually led by the same psychologist behind the other

study showing that experts are, on average, poor predictors.

But what he also realized was that a small number of people are remarkably good at answering

certain questions — stuff like, 'Will Serbia leave the EU in the next six months?'

or, 'Will this politician resign by March?'

It wasn't just luck, and it wasn't just that these people were smart or well-versed on international affairs, either.

The participants were normal folks who volunteered; they had no particular expertise.

And they outperformed intelligence analysts with access to classified material.

Which sounds, like pretty humbling for those intelligence analysts.

What set these so-called superforecasters apart were certain shared personality traits,

like an openness to consider new ideas, and a willingness to revise them in the face of new facts.

They're intelligent, but not geniuses, and while they are usually comfortable with numbers,

they weren't using statistics or models to arrive at their answers.

Instead, the superforecasters were thinking through the problems probabilistically.

In other words, they carefully assessed the likelihood of various things, and factored everything into their decision.

This prevented them from being susceptible to a lot of biases, including our natural

tendency to make quick, intuitive decisions by falling back on heuristics, or shortcuts.

For instance, forecasters who read a lot about terrorism, even in an effort to become more

informed, might begin to think terrorism is more frequent than it actually is, simply because they're exposed to it a lot.

This is known as the availability heuristic.

But by becoming aware of these pitfalls, and sticking to probabilistic thinking, these

superforecasters could avoid it.

Fortunately for us mere mortals, the Good Judgment Project was able to develop a short

training program that can improve accuracy by 10% over a year.

In it, participants learn about cognitive biases and are encouraged to break down big

problems into smaller parts so they can think more easily about them.

They're also taught to think about problems from all sorts of perspectives.

They learned not overreact or underreact to new information.

And most importantly, to learn from their mistakes.

This is where most experts don't put in the work.

But if you never pause to think about where you went wrong, you can't learn how to be better.

Which is true for a lot of things, come to think about it.

To arrive at its winning predictions, the Good Judgment Project team also took advantage

of the wisdom of the crowd, but added a tweak to traditional methods.

Basically, if you average everyone's predictions, they're usually fairly close.

But this team didn't stop there.

Instead, they then gave extra weight to their group of 40 or so superforecasters, and finally,

adjusted that number up or down a bit further, in what is called extremizing.

This technique worked really well.

It's still not perfect, of course but is proof that sometimes, people can be fairly good about glimpsing the future.

Well, as long as you ask a lot of them, and do some fancy math to bias things towards your most talented group.

Like with any prediction, data is still really important.

This method won't work for everything, and many people think there are very rare, but

still very important events that are too hard to predict — something like 9/11.

They call these black swans.

But it's possible breaking things down and learning more will allow us to get better at these, too.

Ultimately, most experts agree that the best predictions about these sorts of tough questions

will come from a combination of human and machine.

Really, though, the only thing we can be certain of is that we won't be able to predict everything.

Thank you for watching this episode of SciShow!

If you want to learn more about how our minds work and influence the ways we think and respond

to things, we have a channel called SciShow Psychology and you can check it out over at youtube.com/scishowpsych.

[♪ OUTRO ]

For more infomation >> Could Scientists Predict the Next Political Crisis? - Duration: 11:14.

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What does stolidity mean? - Duration: 0:35.

For more infomation >> What does stolidity mean? - Duration: 0:35.

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Maxine Myod: 5 Fast Facts You Need to Know | Heavy.com - Duration: 6:04.

Maxine Myod: 5 Fast Facts You Need to Know | Heavy.com

Maxine Myod is the New York woman who allegedly bit, sprayed, and tried to hammer a pair of New York police officers in midtown Manhattan on Tuesday, according to the New York Post.

Myod, 48, was charged with assault on an officer, resisting arrest, criminal possession of a weapon and menacing.

The police officers are all in stable condition.

Here's what you need to know about Maxine Myod:.

Myod Was Apparently Involved in a Public Fight With Another Woman When the Police Showed Up.

At about 12:23PM on Tuesday, the NYPD received a 911 call saying that an asssault was taking place on east 38th street and Madison Avenue.

Police rushed to the scene, where they found two women arguing in the street.

One of the women — Maxine Myod — apparently went berserk as soon as the police showed up.

She sank her teeth deep into one officer's elbow.

Then she pulled out a can and sprayed some kind of chemical at a policewoman and another policeman.

Passersby were stunned and unable to believe their eyes.

News reports don't say what happened to the woman Myod had been arguing with, and it's unclear what the two women were arguing about in the first place.

Myod Also Tried to Hit the Cops With a Big, Blue and Yellow Hammer.

Francis Oforr, who works in a midtown building near the scene of Myod's bizarre encounter, says that after biting and spraying the police, Myod had one more trick up her sleeve.

She reached into her bag and pulled out a large, blue and yellow hammer.

"She tried to hit the cop with a hammer," Oforr said.Other witnesses at the scene confirmed that Myod was trying to attack the police with a hammer.

Cops managed to subdue her before she hit anybody with the hammer.

Myod Has Been Taken to Bellevue Psychiatric Ward for an Evaluation.

Police managed to subdue Myod and took her in to Bellevue Hospital, where she will undergo a thorough psychiatric evaluation.

It is not yet clear when she will appear in court.

There was also no word yet on whether she would enter an insanity plea.

Myod, 48, faces charges of assault on an officer, resisting arrest, criminal possession of a weapon and menacing.

Onlookers Say They Originally Thought Myod Was Using Hairspray on the Cops.

Witnesses at the scene seem to have been baffled by Myod's fierce encounter with the police.

Many report being confused and not quite understanding what was going on.

One witness, who asked to remain anonymous, told the New York Post, "I heard them say, 'You're coming with us.' Then she started yelling, 'No! No! No!' And all I saw was this woman spraying.

She sprayed two cops in the eye.".

The witness added, "I thought maybe it was hairspray.

But then I noticed it was a direct stream ." The witness added that one of the police officers was crying from the impact of the spray.

Police Were Examined at a Local Hospital After the Attack.

The New York Post reports that police were taken to Lenox Hill Hospital following the bizarre incident.

They were determined to be in stable condition — including the officer whose arm was bitten.

It is still not clear what exactly the spray used on the police officer was.

Myod faces charges of assault on an officer, resisting arrest, criminal possession of a weapon and menacing.

She is currently undergoing a psychiatric evaluation at Bellevue Hospital.

For more infomation >> Maxine Myod: 5 Fast Facts You Need to Know | Heavy.com - Duration: 6:04.

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Golden Freddy powraca! | Ultimate Custom Night #3 - Duration: 19:37.

For more infomation >> Golden Freddy powraca! | Ultimate Custom Night #3 - Duration: 19:37.

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周潤發北京坐計程車遭拒絕 - Duration: 1:49.

For more infomation >> 周潤發北京坐計程車遭拒絕 - Duration: 1:49.

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California Gold Nutrition, Collagen UP 5000, Marine Sourced Collagen Peptides + Hyalur - Duration: 3:37.

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of its product images and information, some manufacturing changes to packaging and/or

ingredients may be pending update on our site.

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