Trucks for children - Amazing Trucks for Kids review video for kids 2
Trucks for children - Amazing Trucks for Kids review video for kids 2
Technical Bengali Idea
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FBI Issues Urgent Warning As Massive Manhunt Is Underway For Second Terrorist In NYC Attack - Duration: 4:36.
FBI Issues Urgent Warning As Massive Manhunt Is Underway For Second Terrorist In NYC Attack.
On Tuesday in New York City, a Muslim psychopath mowed down innocent bicyclists and pedestrians
in an attack he had been planning for weeks, where NYPD investigators confirm he had visited
the location numerous times in order to gather intelligence before renting the Home Depot
truck and launching the deadly assault.
Now there's been a major breakthrough in the investigation and authorities need your
help after they've just learned that there's a second Muslim on the loose who helped to
coordinate the fatal attack.
The FBI is meticulously putting together pieces of the investigation, and through their efforts,
discovered that the Muslim psychopath did not act alone.
On Wednesday, the FBI announced that there's a massive manhunt underway after they confirmed
that there's second person who helped plot Tuesday's terror attack in New York City
in lower Manhattan.
Info Wars reported:
A wanted poster released by the FBI shows they're looking for Uzbek national Mukhammadzoir
Kadirov in relation to the truck attack which left 8 dead and 11 injured in the Tribeca
neighborhood.
Law enforcement officials are seeking the public's assistance with information about
Mukhammadzoir Kadirov in relation to the deadly attack in the Tribeca neighborhood of New
York City, New York on October 31, 2017," the poster reads.
Terror broke out Tuesday as Uzbek national and former Florida resident Sayfullo Saipov,
29, steered a Home Depot rental truck onto a populated bike path at around 3:50pm crashing
into cyclists before smashing into a school bus.
What's disturbing is that it's unclear just how many ISIS psychopaths are now residing
in our country and actively plotting terror attacks, as their sleeper cells now appear
to be activated.
The 29-year old Uzbekistan native was able to come into the country under Barack Obama,
using the 'Diversity Visa Lottery Program' to get into our country.
But unfortunately, that's only one major loophole that ISIS terrorists are using to
their advantage to gain entry into our country in order to further their jihad.
Several months ago, a woman who sat in on United Nations meetings regarding the "refugee
resettlement program" here in America dropped an alarming bombshell on how terrorists are
being brought into our country on purpose, and how Barack Hussein Obama is completely
and 100% behind it.
The information she has about a literal Muslim invasion is so disturbing, that it proves
that we are intentionally being taken over thanks to the malicious actions of those at
the highest levels of our government.
And if President Trump doesn't do something drastic and immediate to end what's going
on, America as we know it will be gone forever.
In the following video, the unnamed woman reveals that there is a blatant war on American
sovereignty taking place, being orchestrated by Barrack Hussein Obama, who continues to
violate the law through by blocking President Trump's ban with judicial activism.
Obama is secretly planting his Muslim foot soldiers in America, as thousands of these
unvetted vermin continue to come to America under the guise of the "refugee" program.
After attending many meetings with the United Nations' Office of Refugee Monitoring, she
was able to drop the following bombshell on the sickening invasion taking place in America.
She reveals that not only are these individuals flown into America at night so they go under
the radar, but that they're being thrown on a plane and flown into our country with
absolutely zero vetting process.
She notes that many of them have many highly-contagious archaic diseases that were once eradicated
from the United States, including leprosy, tuberculosis, smallpox, polio, and giardia.
It's time to wake the hell up, America.
We are being actively invaded by ISIS as we speak.
Every single gun owner in America needs to be on high alert, and vow to never leave their
house without their gun if they're legally able to do so.
ISIS might have a plan to take over America like they're doing in Europe, but with 200-300
MILLION gun owners in America, we could soon be ISIS' worst nightmare come true if they
want to continue to establish their little Caliphate here in America.
Be sure to share this story.
Someone out there knows the identity of this Muslim terrorist, and with the power of social
media, there's a good chance that sharing this intelligence can help bring this man
to justice, and help prevent another terror attack from happening in our country!
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Moving For Success - Episode 4 - Kits 1 - Duration: 1:04.
What made my move a success?
Kit number 1: cleaning.
You're gonna want to clean your new place, maybe your old place.
Paper towels
All purpose cleaner, disinfectant
Some wipes
Hand soap
A duster, for all those little dust bunnies.
Some rags
Little vacuum, it's cute.
Big vacuum
Now you're also gonna want a broom, or what I like to use,
A leaf blower
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Jaden Discovers He Can Trade-in for a 1500 - Duration: 0:17.
This is Jaden, I just bought this 2017 Ram Express
from Redwater Dodge here from Anna
Great price, great service
and happy to drive away with it.
Thanks for coming out!
We'll see you around.
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Michigan State University Excellence for Global Education - Duration: 18:30.
- My name is Frederi Viens, I'm the Chair of
the Statistics Department here at MSU.
And its my honor to say a few introductory words
about Tapabrata Maiti, who is Professor and Graduate
Director in the Department of Statistics and Probability
here at MSU, on the occasion of his investiture
as MSU Foundation Professor.
Among friends and colleagues he goes by Taps, however
he is certainly mighty. (audience chuckling)
Although I've only had the pleasure of knowing him well
since my arrival here a year ago,
a little more than a year ago,
its clear that his impact on our department and
our university has been decisive since his arrival in 2008.
And his positive influence can be expected to continue.
Doctor Maiti hails from the State of Weidlingau India,
its probably soon to be known as Bengal as well.
He received his Ph.D from the University of Kalyani
while he was working at the Indian Statistical Institute
in nearby Kolkata.
As a grad student he worked on the theory of statistical
inference in finding population sampling.
Its a technique which applies to many large-scale
and scientific data collection process.
Drawing on experiences as a post-doc at
the Harvard Medical School in his early career
his work expanded to hierarchical models and associated
Bayesian inference, what we call Bayesian inference,
which he applied to public health and policy research
on pediatric cancers and later to machine learning
for cancer detection and disease cluster detection
in climate change.
He is currently invested in high dimensional statistics
and many other things, and he's building
computational predictive models which can assimilate
image and observational data.
There are many other things that Taps has been doing
and its very, very difficult to go through the whole list.
His inter-disciplinary work reaches far and wide
including collaborations at MSU with engineers,
radiologists, neuroscientists, physicists,
marketing scholars and medical professionals.
And I'm proud to say, that despite our very distinct
backgrounds, I count myself as an active research
collaborator of Taps's.
We're working on a Bayesian and certainty quantification
question with nuclear theorists
from MSU's Facility for Rare Isotope Beams
as Professor Kirkpatrick mentioned a little while ago.
So maybe a few words about later part of his career
before he came to MSU.
His career took him to University of Nebraska at Lincoln
and then to Iowa State University and then he arrived here.
His internationally recognized work has led to professional
stints and memberships in various learned societies
throughout the world and again the list
is too long to go through.
Including, I should mention serving as a Research Fellow
at the Indian Statistical Institute in Kolkata.
Senior Research Fellow at the US Census Bureau.
Special Government Employee at the US Environmental
Protection Agency and various academic positions
in a number of countries including Australia, China,
Portugal, the UK.
And he is also a Fellow of the American Statistical
Association and the Institute of Mathematical Statistics.
And I should add that being Fellow of those two societies
simultaneously is not common,
even for Fellows of one of them.
His research is characterized by a unique combination
of skills and expertises resulting in peer reviewed
publications in a wide spectrum of scientific outlets.
He's well funded by awards from National Science Foundation,
National Institutes of Health
and the USDA Natural Resources Conservation Service.
Back in our department, SDT we call it, here at MSU
we're very proud of him, indeed we're indebted to Taps
for his work in expanding the departments graduate programs.
He's advised about 20 Ph.D students
and he continues strongly.
He has been instrumental in developing
MSU's Program in Business Analytics.
And as our world enters the age of data, I easily envision
Doctor Taps Maiti, leading MSU's charge in expanding
graduate education and research in data science.
The recognition of MSU Foundation Professor is prestigious
and rightly so.
Congratulations mighty professor, you're up.
(audience applauding)
- Right thank you Frederi, thanks everybody.
I don't have really many fancy pictures, movies,
although I'm involved with some of this stuff.
I guess instead of going to the boring mathematical modeling
to you guys possibly I should be also touching base
with broader community work what I do here
and what I'm going to do in the next few years.
That's possibly I'll try to touch base.
Well as you can see my title of the talk is not really
technical: a statistician at the junction
of big data and data science.
So I'll definitely talk these three things:
statistician, big data, data science.
So I think that's the kind of significant move for me
from Hawkeye to Spartan.
Certainly it was a good move, I had to say it
because my family is pretty happy here.
My wife got another degree from College of Education.
My daughter is growing up here happily.
So it was a good move.
And the department, particularly the Michigan Statistics
Probability and the Michigan State accepted me,
welcomed me very well.
I clearly remember the meeting with Dean Kirkpatrick
the very first day.
It was scheduled to be half an hour but it went about
an hour and the Department thought what these guys doing?
But it was a lovely conversation.
I think after coming here, immediately in 2008 things
are happening as I expected at this stage of my career.
I became a Fellow of American Statistical Association,
the worlds largest organization in statistics.
I became a Fellow of the Institute
of Mathematical Statistics.
I played many a role for expanding research and education,
different schools on campus including
the Business Analytics.
And of course I had already collaborations
with almost all the schools except possibly I have to say
the Music or some of the thing,
I don't know how to play the music.
Here is the current things definitely what lately happening
which we are very excited about.
Particularly the Department, myself already mentioned
we are collaborating with FRIB and hopefully
we can be key member pretty soon.
This project has started just a year ago
with some of the scientists over there.
Among other things, there are many things,
but I like to mention couple of things.
One is, you know that the neuroscience.
This is another area where big data, data science
is going to play a big role.
And I have been already collaborating with scientists
on this campus where they're generating
huge amount of image data every day.
And one of the objectives what I do here,
is you take this image and then put into your statistical
machine and try to create I suppose a Alzheimers disease
percent, how soon he is going to be completely Alzheimers
or how long he is going to be intact in that state.
So some of these complicated things we have been doing.
Its a very complicated, difficult problem.
Not only from scientific perspective, also from
the statistical perspective because we haven't seen
this huge data before.
The other important thing, or exciting thing I have been
doing with the College of Engineering, with some
of the mechanical engineers who are developing the model
for different organ of your body, like heart, lung.
And use thousands of different situations.
They have these computer programs which can run over the day
or even 12 days and they can predict the condition
of your heart without even looking the person.
But here the things come in, when the patient comes in,
usually you have some images done immediately in the clinic.
Then can we combine with the computer model and the image
to quickly come up to some recommendation to the medical
doctor that what's going to happen in next one hour or so.
So one objective is to first convert that highly
complicated, like thousand different situations,
into a simplistic statistical model
where the doctor can understand.
So that is one of the things going on.
And recently it has been funded by NIH zero one,
part of the collaboration with University of Michigan.
So that's there.
All that good, well this was me I think few years ago.
And now see me, how I am.
(audience laughing)
But its all good.
And you said that I need to definitely talk a little bit
about the future, particularly the future of statistics
on this campus, the role of statisticians.
Personally, I think this is a very good time to be
a statistician as many of you heard about data science.
Data scientist this is one of the sexiest job in
the 21st Century and it is obvious that there will be
a big shortage of the data scientist in next few years.
Here's some of the information like the McKinsey Global
Institute who predicted that in 2018
there would be millions of jobs.
And definitely for this type of job we need trained people.
Really anybody cannot just join.
Pretty good, average salary is over 100 000
and it was the number one job in 2016.
But what is Data Science?
If you just Google it, there will be number
of different versions.
Here is one version from Wikipedia but clearly from
this picture you can see that this is interdisciplinary
science but statistics is everywhere.
You can see basically in the data science: statistics,
maths, machine learning also combined with these.
All sorts of things are there.
But its an emerging field, already there are 500 programs.
Sometimes the programs names are different,
like data science, business analytics, predictive analytics,
computational statistics depending on the strength on campus
whatever we had.
But what I'm going to put, some of my observations and my
outlook along the things what's happening in this community.
So we can see the balancing between three major pillars,
statistics, computer science and information management.
And of course there will be all specializations.
Already I mentioned neuroscientists, health scientists,
everybody will be together.
Quantitative background such as basic training
in statistics, mathematics, computer science
definitely is needed.
And there will be three pillars, very quickly,
there will be statistics foundations,
there will be computer science foundations.
And then we'll just be like this, we started out like
this as human being but now with the computer,
in front of the computer we'll be like that.
So that's the kind of my future I can see that way.
Information science foundation, that is another pillar
which certainly statisticians are not very well equipped.
We need to do those part.
Here is the relation between scientist,
between data science and statistics.
So I like this definition, that a data scientist
is someone who is better at statistics than any software
engineer and better at software engineering than
any statistician.
So clearly I'm not also saying that statistics
is data science or data science is statistics
but we are inbetween.
As I said that American Statistical Association is the
worlds largest professional organization in statistics.
And they have some definition and some way how to work
for the data science and we acknowledge that data science
is just not statistics but certainly statistics
is going to play a major role.
In my personal opinion, it is not a threat, it is
an opportunity, the opportunity to work
with all other scientists, just not with ourselves.
And it might help to grow all three defined disciplines,
computer science, mathematics, information management,
along with many other sub-disciplines.
It will be helpful if we can really dig into
the details and work together.
Of course for statisticians we have most things to do.
As you can see, the average statistician is just plain mean.
Again, I didn't put that thing--
- [Audience Member] Is that a camembert or what is that?
- I don't know.
So it is very, very important that we get engaged
with computer scientists, database scientists.
We do these distributed computing all sorts of thing.
We develop new tools where the existing statistical method
can be imported or transported to these comfortable way,
all these other things.
And of course, the associated thing is the big data
that we have to dig in.
So I just mentioned data science, statistics,
what is the relationship with big data.
In general way, that said, again no concrete definitions,
but it is so huge,
that simple, my laptop, I cannot deal with these things.
I need some kind of supercomputer to do this big data.
But what is the relation with big data.
That is what I'll just mention.
But here is the big data potential.
Just to be brief, to get the idea about the big data.
If you bond all the data created in just one day onto DVDs,
you could stack them on top of each other
and reach to the moon twice.
At the moment less than 0.5% of all data
ever analyzed and used.
So we are generating data much faster than how much we know.
And here is the situation essentially.
We have this type of gigantic data but we know a little bit
but most difficult is which part we need to know.
Always how do I know that this is the part that will
be floating above the water, that's very difficult to know.
And that's where the data science and big data coming in.
And the beginning here, this is the cartoon I like,
kind of Mickey Mouse cartoon.
So this is the big data, he thinks that oh the data science
you don't know I'm so big I can just grab you.
But after a while, when we learn this big data,
we can say that this part of your body is good,
this is the part where your brain is here.
If I can identify all these things using my tools,
particularly the statistical tools, then we can become
big friends, that data science and big data
becomes friends together, otherwise there is no hope.
So essentially what we have to do, we have to learn
what is inside of the big data.
And again, you know that we don't need to know everything
but it is much more important which part we need to know,
even if its a small part.
Which part we need to know, so that's very important thing.
These are just things which are generating big data
everyday: e-commerce, imaging, social media,
medical records, satellite data, government records.
Some of the applications of these big data going
very fast way, like all these search engines,
image recognitions, fraud detections.
Mostly I am involved in image recognition situations.
This next thing is coming, self-driving cars
which will generate millions of millions of data
immediately in every second.
So we have to analyze all these things.
And the world is ready, every school, everybody is getting
prepared to deal with big data using these three pillars:
statistics, computer science and information science.
Certainly there is a future, and where are we?
We are the Spartans.
So I would like to thank you Michigan State.
(audience applauding)
- So we now have the part of the program
where we hand over the big iron.
And so I'd like to invite Brian to come forward.
I should add that these go really well with
half-button Hawaiian shirts.
(audience laughing)
Congratulations.
(audience applauding)
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Ray Hansen sentenced to prison for killing Terry Klein - Duration: 1:14.
For more infomation >> Ray Hansen sentenced to prison for killing Terry Klein - Duration: 1:14. -------------------------------------------
Fishing for Big Sea Bass | Team Galant (English Subtitles) - Duration: 25:36.
We just landed in Amsterdam.
I am going to fish for sea bass.
I got a fish on. – Just like a nice silver perch.
Are we going to release it? Because I want to fish more.
This is a decent one. Will you be able to land it?
Look at that net, dude! Look at that net!
They fight better than the perch at home.
We just got to our location. We will fish sea bass from land.
You see the steelworks behind me and the sea water with the sea bass.
I will fish with Daniel, who I met when filming "Fishing in the Middle of Sweden".
We were in Hälsingland in March.
He told me that the most fun fishing in the Netherlands is fishing for sea bass.
I asked him if I could join him and when the best time for sea bass fishing is.
The end of september, he told me. And here I am now.
I really hope for good fishing during these days.
Since Daniel is from the Netherlands, I will speak English when I talk to him.
Daniel, we have some sea bass in Sweden, but they are quite rare and very small.
I do not know how to fish them. Can you tell me a bit about the sea bass?
The sea bass is much like a perch, but it is bigger, stronger and silver.
You can fish with several techniques like jigging, top water, jerk bait or wobbler.
The most important thing to know is where the fish is at and at what tide.
We will try some surface fishing now, but the wind is picking up a bit-
-so if it does not work, we will try jigging instead.
You practically use the same equipment as when you fish for perch.
But it is important to use a longer rod, because you want to make long casts.
You also want to be able to steer the fish away from the obstacles they hide under.
You can easily lose them otherwise. A rod that is 8 or 9 feet long is perfect.
You can use the same reel and line as you do when fishing perch in Sweden.
We will start with surface baits. This is a Megalon from Gunki.
I start with putting this on.
I am starting off with a Nitro Shad. Tobias brought this from Sweden.
It really looks like bait I would use here. The good thing is that the hook is hidden.
It is weedless, which makes it easier to not get stuck in these oyster banks.
You do not want to lose your bait because they can be pretty expensive.
The colour I am using now looks a bit like herring or smelt.
I think it is a really good, natural colour to start with for sea bass.
If it does not work, I can always swap to a bright colour like yellow or orange.
We will see if they are aggressive and need something different.
We have not gotten any fish yet, so we will use the Deeper to find them.
Let's get it out to see what the depth looks like.
It is high tide right now and the sea bass is hunting.
They are looking for places that are flooded.
Places with crabs and small fish in areas that are normally out of the water.
I want a shallow area followed by a nice drop-off that we can fish.
I have to change the settings as we are fishing from land now, not a boat.
When I change the settings, I press Settings in the right corner.
Then I choose Sonar Mode and after that, On Shore GPS Mode.
Then you have the right settings for when you fish from land.
You can see a map of where you are, the water temperature and how deep it is.
It is three metres deep where we are and the temperature is 18 °C.
Is the temperature good?
It is still good, but it is really dropping.
When it goes down a couple of more degrees, the sea bass migrates to a warmer place.
It will go south through the English Canal and end up in France or further south.
Not to Sweden? – No, not Sweden. It is too cold.
Cast out the ball again. – We need to get more information.
You can see it is about 12 metres deep. – It is really deep with a nice drop-off.
It is going up soon. You can see a really steep drop-off.
It is almost going straight down. There is a lot of water coming out here.
When the tide turns. It is a good spot for sea bass to hunt.
We did not see anything here, so we are going to change location.
No baitfish and we did not feel anything when fishing.
We have to move. – Yeah, let's do it.
Daniel has caught a lot of sea bass from this location.
I have made a depth map with the Deeper to see what it looks like.
As you can see, there is not a steep edge but an even bottom.
I see that it is 3.8 metres when I press here.
That is where Daniel has caught most of the sea bass.
That is because there is a sunken wreck over there.
The sea bass like places that differ a bit from the rest of the environment.
We will focus our casts towards that wreck.
We finally hooked one. It is getting dark.
I will try to land it. – That is good. You have been hammering.
We have been constantly hammering. It is not super big, but it is fat.
It is actually a decent fish. – That is what a sea bass looks like.
Just like a nice silver perch.
Should we let it go? – Yes, let's put it back.
But if you get one, will you not get many?
Sometimes you do, if they are schoaling up.
It could be a solitary fish, I hope we can find out quickly.
Maybe we can catch some more.
A nice one. – Bye bye.
First bass.
We are not giving up, we will hunt them during the night.
Sea bass fishing during the night can actually be really good.
Let's try to catch another big one.
What is going on? – I have a fish on.
They really want small lures.
Is it a good fish? – No, I do not think it is very big.
The thing is I am standing in a bad place. There is a boat and something else here.
There is also a big pole. It will be a problem to get the fish up.
I think I can just lift it up.
I got it.
This is crazy, it was really fun. I think we will catch more.
I am going to release it, because I want to catch more.
They are coming here where there is light? – There is a bit of light and baitfish.
I hope we can get some more.
I got another one. – It is crazy.
Two casts in a row. That is nice.
We are catching them on tiny lures.
We are still fishing and he has got a bigger one.
It was really strong in the beginning. It went to the left under the boat.
I had to chase it around the pole.
A very nice fish.
That was it for today.
We have to pack up our things as we are going up early tomorrow.
It was slow fishing during the day, but it was good to finally get some.
We hope to get better and bigger fish tomorrow.
It is really early in the morning, it is about 5 am.
We will go out on the sea with this big boat.
We will fish for sea bass with Nick from Sport Fishing Company.
It will be so much fun. Let's do this.
We just got to the place where we are going to fish.
It is pretty much open sea, about 100 km from shore.
We will fish on a depth of 30-40 metres and over these sunken ships.
There are loads of sea bass here.
We will make a cast, reel it in quickly and the sea bass will take the bait.
My friend Daniel will tell you about what lures and baits we will use.
Since we are jigging, I am using a spinning rod up to 100 grams.
I am using an 80 gram speed jig.
I will just drop it to the bottom.
Close off the bill, get 15-20 turns in and open up the bill to make it go further out.
It looks like they have fish behind us. – Yeah, they have big fish behind us.
We should film them. – Or fish ourselves.
They got a big one on. – This is the captain, Nick.
He has a big one.
Nick, tell me what is happening. – A nice sea bass, I think.
It is very strong.
This is crazy.
They fight better than the perch at home.
Everybody is getting hooked. Five fish at once.
That was the worst netting I have seen.
Good one!
I am putting maximum pressure on...
It was a big one behind it!
It was following it to the boat.
I would not call them small as Daniel does, but they are not enormous.
It is not enormous, but it is so strong. It is crazy.
Three in the net. Three in the net! One more.
Take it.
Good work!
Yes, look at that net, dude! Look at that net, look at this!
Sea bass fishing at its best. – Holy shit!
The fish schoal in September-October, for the winter.
When the water temperature is going down, they schoal to get food, small fish.
The fish then swim to the warmer ocean. That is why we fish now in September.
There is loads of fish under us. I just let the bait down to the bottom.
I have to look cool as well.
Fish on!
I think this one is decent. Everyone is hooked up at the same time.
I will just swing it up.
Sea bass!
Sea bass fishing.
Thank you.
This is about 40 cm, what do you think? – Yeah, maybe 50 cm.
I think it looks like a big perch or something.
A silver perch. With a lot of spikes.
Let's release it. I want to catch an even bigger one.
I have seen bigger and you guys have caught bigger ones.
Max just hooked a really big fish.
You have one as well? – Yeah, I got one as well.
This one is really far away. I am almost out of line.
It is about 150–200 metres. – Crazy.
This is a really big sea bass. – This is a really big sea bass.
This is a monster? How long? – This is a monster about 70 cm or so.
We are going to find out.
Can you hold it up there?
It is...
74 cm.
That is a really big...a monster. This is what a big sea bass looks like.
Throw it back.
Let's get another one like that. They are biting all the time.
Good one. Give me five!
This is so fun. This is so fun.
It is time to go home as the sea bass does not bite due to the current.
The current is gone and the tide has turned.
We are heading back home. Tomorrow we are going on another trip.
Maybe we will catch some more tomorrow. It was a really good trip today.
We had a very good captain. – The bass was bigger than I had imagined.
Crazy fishing. Fun fishing.
Lets' go home and prepare for tomorrow.
We are by the water again.
Daniel has arranged for us to fish with Jeroen, a great guide for sea bass fishing.
We will go out with him in the boat and hopefully localize some big sea bass.
I have known Jeroen for a couple of years. We both went to the Sport Fishing Academy.
He is a very experienced fisherman. He has his own guiding company, JEVisgids.
I really hope we can catch big fish. I have faith in Jeroen.
Let's go!
The plan today is to get some sea bass on surface lures.
If that does not work, we will fish with softbaits.
The first spot we will try is a big island with a lot of rocks around it.
It is a very good spot because the current goes through the island.
The sea bass is behind those rocks.
We are going to cast surface lures through the rocks.
We will twitch it above the rocks. The sea bass will attack the surface lures.
The lures we fish with are imitation bleak or sand eels.
Sea bass love to hunt for these.
These are the softbaits.
For surface lures, we use Walk-the-dog lures. Make them go left to right.
Big ones, small ones. You never know what they want.
It is very important to have a variation of top water lures.
It is time to get going. You must cast next to the edge.
The line cannot be slack, you need the surface bait to move.
The current is really good here. This is where the sea bass come to eat.
First cast of the day.
Watch out for the sea gulls. – I have always wanted to catch one.
Do you think it will be a good day? – Yeah, the conditions are very good.
What are the worst conditions? – Very sunny, no wind and no tide.
You have to have... You see the current?
If there is no current, you will not catch anything.
We have tried surface baits for a while, but we have not caught anything.
We will try a bit deeper down with some jigs instead.
I have put on a Nitro Sprat.
It is offset rigged, which is good here. We will cast it right by the shore.
There can be loads of mussels there and a regular jig hook would get stuck.
But it will be great with an offset rigged bait.
We will see if we can get anything.
I got a fish on. It is not big, but it is good to catch one.
Let's see. It is not big at all.
But it is a sea bass.
This is what our first sea bass of the day looks like.
It is nice and small.
The fishing has been really slow for a while now.
But all of a sudden I got one. They say it is a bit better.
Is this is a decent fish? – Yes, it is decent.
Will you take it? – Yeah.
Perfect. This is a nice one.
Very nice. – I will take it.
We were just filming this sea bass in slow motion.
Then Daniel hooked a quite decent one, I must say.
What do you think? – It is a very nice one.
You land it and then we can pose together.
I got it. – Nice, nice, nice.
He caught a nice one and I caught a nice one.
You caught it on a hard bait. I got mine on a Nitro Sprat.
Do you think we can get more? – Yes, they are feeding in the current.
I think they are feeding now. – We will let them go and then continue.
Catch and release. – Always.
Why always?
The sea bass is in critical condition. I always put them back.
Especially the big ones. Sometimes I take a 50 cm bass.
Sometimes I take one with me to eat. But I throw back about 99% of the sea bass.
Good. Perfect.
The tide is over now. It is a low tide and no current.
When there is no current, the sea bass does not hunt.
It is time for us to eat now.
The current starts again in one hour. The sea bass go to hunt.
Then we will start fishing again. But first, a nice hamburger.
Fish on.
Yeah, it is decent.
This is a decent one. Will you be able to land it?
Yeah, no problem.
We just went back to this place. I said we would catch fish and we did.
This is a decent one. – We got one.
Look at it.
I do not want to fall in. This is about 50 cm.
Perfect.
Another one.
Perfect. – Not so big, but a beautiful fish.
A very nice strike. Very nice.
Let's throw it back.
We started to catch fish because the current is very strong now.
The bass started feeding and they are by the oyster banks.
I think we can catch a lot of fish now.
We will end this day with two sea bass. A double take.
I have had a really good day. We caught a lot of fish.
What do you think? – It was an excellent day.
First with softbaits and then top lures. It was perfect.
It is time to let them back. See you later!
English subtitles: Daniella Twedmark www.textsmart.se
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India: Uncles Get Life Sentence for Raping 10-Year-Old Niece - Duration: 0:52.
For more infomation >> India: Uncles Get Life Sentence for Raping 10-Year-Old Niece - Duration: 0:52. -------------------------------------------
5Star Urgent Response for Jitterbug Flip Helping Seniors Feel Safe | GreatCall - Duration: 0:33.
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VLOG – Wave & Freestyle Kiting at Caños & Lessons for Fabi - Duration: 7:57.
good morning
we're now on the way to the harbour
because Jürgen of KiteWorldWide arrived
together with Tobi with whom we were on the catamaran first
because these guys travelled to Mallorca
to get another catamaran there
because the other one stayed in Brest
so they sailed from Mallorca to here
and wait down there at Tarifa's harbour
with packed kiting gear
because we'll head to Caños de Meca
which is 40 minutes north-west of Tarifa
we'll have a nice kiting session there
wind looks alright, we'll have some waves aswell
car is packed with gear
or people
people as always
the guys should wait somewhere here, they've sent us a location
so we'll pick them up and drive up to Caños
that's Jürgen
have to fit some more people in the car
hectic and stressfull as always
I bet he's not a real park ranger
awesome wave spot
it's high tide later
so we have to be a bit careful with the reefs now
we'll get the waveboards now
(german pun)
the car is packed to the roof
we'll figure out to get everybody and everything in
someone has to go in the trunk
let's see whether everything fits
we'll drive back to Tarifa and go to the lagoon
so Fabi can learn to kite there
YEAH DUDE
but first we have to squeeze in the back
are you ready with rock-paper-scissors?
with video proof
you guys play first
best of one
Schnick
Schnack
Schnuck
you get a legit seat
you can sit here, super cozy!
too late
best dog in the world
I have to get out for this
what's happening
lagoon in Tarifa, we want to kite a bit
yeah, yeah
I'm learning to kite now
at the lagoon here
and, ehm
it'll be a nice fail compilation!
I'll fill up the lagoon for you guys
looks like not enough water
it'll be full soon guys!
is that your first time?
come on
yes
keep going!
long arms!
and back up!
yes!
that was good
ahhh!
and another one!
clean the lens a bit
long arms. LONG ARMS!
wind is gone again, sorry!
yes, back up again!
keep going!
you got wind now, you can do it!
up, up!
nice, come on!
up and down!
and back up!
and back down!
I guess that was a sign, we should stop now
good bye YouTube
we'll continue tomorrow
with the next tutorial
where we'll film Fabi's sponsor me tape
don't forget:
okay just kidding, fuck off
-------------------------------------------
WhatsApp New Update | Delete Send Message | Delete For Everyone | Un-Send Message | Revoke Message - Duration: 4:04.
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Best Vacuum cleaner 2018 ! Best Vacuum Cleaner for your Car - Duration: 3:12.
best car vacuum cleaner new portable car vacuum cleaner wit and dry dual used
super section 120 watts car vacuum cleaner specification item number MKS
power 12 volts 120 watts length 500 centimeters
wait 850 grams vacuum degree 4000 Pascal wet and dry vacuum cleaner you can clean
peanuts coins little water with a brush a nozzle duck tongue nozzle extend the
hose can clean up the different locations for copper movement to extend
machine life 4.5 metres long power cord to meet the different locations within
the car clean packing list vacuum cleaner included 1 HEPA filter carry bag
optional please select carefully when placing order gift and a detective hit
the filter short connector long connector
Hoess brush
three colors are available blue orange and black
let's watch some customer reviews
thanks for watching
Best car vacuum cleaner
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Jitterbug Flip Phone is a Simple Cell Phone for Seniors to Use | GreatCall - Duration: 3:28.
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I told my daughter I had a surprise for her. I know she can't wait - she's always
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-------------------------------------------
Affordable Jitterbug Flip Cell Phone Plans for Seniors | GreatCall - Duration: 0:29.
The Jitterbug Flip is the perfect phone for me.
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How To Apply For Pre-Matric & Post Matric Scholarship Online Bengail. - Duration: 18:39.
Technical Bengali Idea
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