# data[].attributes.body
OBSERVATIONS
1. I observe that one kit is nudging the other kit.
2. I observe that there are two kits.
3. I observe that there are plants behind them.
4. I observe that they are playing.
5. I observe that both of the kits are next to each other.

INFERENCES

1. I infer that they are siblings.
2. I infer that they haven't left their mother yet.
3. I infer that their mother is near.
4. I infer that they are near a woods or forest.
5. I infer that they are practicing  hunting on each other.

# data[].attributes.body
observation
the Caracal is pouncing.
it has long ears
the Caracal has

# data[].attributes.body
Observations
1.The lions are in the grasslands.
2.They are in Africa
3.There is 8 lions
4.I see trees in the background
5.The grass is taller than the lions
Inferences
1.I infer  they are looking food
2. I infer they might get eating
3. I infer they are a pack of lions going back home
4.I infer that there tired
5.I infer

# data[].attributes.body
1.I observe that this is apartment that is colored rainbow.
2 .I observe that there is a person riding a motercycle
3.I observe that some of  of the windows are green.
INFERENCES
1.I was maybe rainy that day
2.The rainbow apartments may have been built a long time ago
3.It might be a place were people like to see.

# data[].attributes.body
observations
1. i see a reef
2. the guy is underwater
3.there is a huge wave behind him
4.hes on a surfing board
5. theres bubbles
inferences
1.i think hes at the beach
2. i think hes having fun
3.i think that hes very far from the beach.

# data[].attributes.body
Observations

1 There is a whale
2 There are dots on the whales back
3 there are fish swing around it
4 they are in the sea
5 the fish are in a spiral
Inference
1 that is is running season
2 that the whale is swimming straight up
3 that it is scared of something

# data[].attributes.body
OBSERVATIONS
1. I observe a tunnel.
2. I observe a green light at the end.
3. I observe a lot of plants.
4. I observe a tiny waterfall.
5. I observe that it looks very wet.

INFERENCES
1. At one time, this was probably a working railroad tunnel.
2. It is probably early evening because there are a lot of shadows.
3. It looks like it is fall because there are leaves on the ground.

# data[].attributes.body
Observations
1.   the monkeys are sitting.               2.   they are kissing.                             3.   the monkey on the left is                  sleepy.                                                 4. there cudduling.

# data[].attributes.body
Observation

1. I observe that the house is on a lake
2. It is winter
3. The trees have a reflection in the water

Inferences

1. There is a family staying there for vacation
2. The water leads to the ocean
3. The family goes there every year to go skiing .

# data[].attributes.body
(not my picture obviously)
1. I observe that there is a spoon on the cappuccino plate
2. I observe that the cappuccino has a thick layer of foamy milk
3. I observe that it is on a counter
4.I observe that there isn't a lot of cappuccino in the cup because it's in a small cup
5.I observe that there is something with glass on the side
1.I infer that the cappuccino is hot so the spoon is to sip the cappuccino
2. I infer that there is a coffee maker on the right side
3.i infer that the plate is to not get burned on the hand when touching the cup

# data[].attributes.body
Observations
1. There is one adult cheetah.
2. There are 6 cheetah cubs.
3. The adult cheetah is wet
4. The cheetahs are in grass.
5. It is day time.
Inferences
1. The adult cheetah just got out of the water.
2. The cubs are her cubs.
3. They are in a savannah.
4. The cubs were not in the water with her.
5. The cubs want to stay close to there mother.

# data[].attributes.body
Observations:
1. It's in the forest
2. There is a waterfall
3. It's on a rail road
4. The tunnel is made out of stone
5. There is something glowing in the tunnel.
Inferences:
1. Its the middle of the day
2. It's sprinkling
3. The rail road is abandoned
(The picture is by a lady named Josselin Cornou)

# data[].attributes.body
observations: 1.It is very cold 2. They're in the mountain 3. There are ice wall 4. There a ladder 5. The person is wearing sun glass. Inference: 1. It is in Antarctica 2.The person is climbing 3. The person is on a rescue mission

# data[].attributes.body
Observations:
1. He is on a basketball court
2. he has a crowd behind him
3. he has a jersey on
4. he looks tired
5.He is by himself
Inferences:
1.he is playing basketball
2.he is looking at his coach
3.maybe he just scored the game winning shot
4.i think he like basketball
5.i think he is worming up  noone s in the crowd

# data[].attributes.body
Observations,
1. its looking at the camera
2. it is showing half of its face
3. there is a blue sky
4.the are white clouds
5.there are mountains behind the horse
Inferences,
1. the horse is starring at something
2. it is very confused
3. it is walking
4. it is in the mountains
5. it is by its self

# data[].attributes.body
Peter Biglan
observations
1its a city
2 there's a basket ball court
3 there's trees
4 lots of buildings
5 the building are tall
Inferences
1its summer
2its crowded
3its nyc
4 people might be going to work
5 its morning

# data[].attributes.body
observations
1.i see a person going across to ice walls
2.  I see a cold place
3. I see a  ladder for him to walk across
4. I see the person holding a bar to hold on to
5. i see a person crossing a cold day in the aritic
inferences
6. they are a dare devil
7.they are going to get a treasure
8. they are going to save a dog that got traped in snow

# data[].attributes.body
observations
1. I see snow
2. I see a wolf
3. I see trees
Inferences
1.I infer that the wolf is howling
2.I infer that the wolf is cold
3.I infer that it cold out side

# data[].attributes.body
observation
1 its winter
2 a wolf
3 trees in the back
4 dusty
5 wolf is gray
inferences
1 its trying to find a mate
2 calling for someone or something
3 its in the middle of winter
4 its snowing
5 its calling someone back

# data[].attributes.body
Observation
1.They are at a dance.
2.there are people there
3.They are being proposed
4.the woman is fancy
5.they are in a city
Inference
1.The woman is happy.
2.they are going to dance.

# data[].attributes.body
Observations
1. They are kits
2. They are foxes
3. They are in a forest
4. They are cute
5. The kits are playful
Inferences
1. I can infer it is spring time because baby animals are born in spring
2. I can infer they must be playing some kinda game
3. I can infer there is only two of them

# data[].attributes.body
Observations
1. There is a fox
2. There are trees in the background
3. The ground is green
4. The fox is orange and white
5. There are some dark clouds
Inference
1. the fox is looking at something.
2. The fox lives in the woods
3. The fox is out of the woods

# data[].attributes.body
Observations
1. It is winter.
2. it is howling.
3. it is in a forest.
4 .it is gray.
5. The sun is shining through the trees
Inferences
1. I infer that the wolf is calling someone because he is howling
2. I infer that the wolf is hunting for food because it is winter.
3. I infer that the wolf just woke up so it is yawning.

# data[].attributes.body
Observations
1. It is winter.
2. It is a small cabin.
3. The cabin is in the middle of noware.
4. Their is a lake a lake.
5. The lake is frozen.
Inference
1. I infer that the people who live there are cold.
2. I infer that the cabin is small compared to the backround.
3. I infer that they live in the middle of noware because their are no houses around it.

# data[].attributes.attachment_link.title
Lake Louise Blizzard Image | National Geographic Your Shot Photo of the Day

# data[].attributes.attachment_link.description
A cabin sits in the snow near Lake Louise, Alberta, in this National Geographic Your Shot Photo of the Day.

# data[].attributes.body
observation
1.They own alpacas.
2.the all wearing white.
3.there are 2 children.
4.there are 4 alpacas.
5.the alpacas are white and brown.
inference
1.There a family.
2.it is gonna rain.
3.they sell the alpacas wool.
4.it is cold .
5.there in a field.

# data[].attributes.body
Observations
1.
2.
3.
4.
5.
Inferences
1.
2.
3.

# data[].attributes.body
Observations
1. I observe the wolf is howling.
2.I observe the wolf  is by itself.
3. I observe that it is snowy.
4. I observe that it is next to the forest.
5. The wolf is gray.
Inferences
1.The wolf is trying to call other wolfs because it is howling.
2.I infer that that wolf sees danger and it is telling other wolfs.
3.I infer that the wolfs paws are cold because it is standing in snow.

# data[].attributes.body
Observations
-I observe that the bear is in the water.
- I observe that the bear has yellow teeth.
-I observe that the bear has brown eyes and brown fur.
-I observe that there is a fish and it is grey because it is out of the water and I can see it.
Inference
-I infer that the bear is hurting for food because his mouth is open.
-I infer the sun is out side because it is bright.
-I infer that the bear is in a river because how would they get out there and back.
-I infer that the bear is standing on a rock because the water is flowing

# data[].attributes.body
-I see white clouds.
-I see a crocodile with his mouth open.
-I see white teeth.
-I see a crocodile with his snout of of the water.
-I see green plants in the water.
-I can infer that the crocodile is hunting because his mouth is open.
-I infer the crocodile is in shallow water because the plants are close to the surface of the water.
-I infer that it is a warm, sunny day because the sky is blue with little clouds.