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Friday, April 11, 2014
Biggs Family July-December 2013
John's First Year
I can't believe it, but our little guy is one year old! How did this happen?! I haven't been a very good at blogging since he was born. Maybe it has to do with the fact that John is super active and social. He is going, going, going all day. Since he has been here, we have loved getting to know him, and of course, taking lots of pictures. Here is an overview of John's first year!
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| Little John at the hospital, two days after he was born. |
| 1 month old |
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| Blessing day-Mother's Day 2013 |
| 2 months old |
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| 3 months old |
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| 4 months old |
| 5 months old |
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| 6 months old |
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| 7 months old |
| 8 months old |
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| 9 months old |
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| 10 months old |
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| 11 months old |
| 12 months old |
Wednesday, July 31, 2013
Biggs Family January-June
I haven't been up-to-date with our blog, but at least I've been taking pictures! Here are some of our adventures over the last few months. We've had some big changes, least of all welcoming our favorite little guy, John, to the family.
Wednesday, January 30, 2013
Photobook 2012
Here are some of our favorite pictures and memories from 2012. It was a great year!
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Friday, January 25, 2013
Let it Snow!
I absolutely LOVE snow. Not the brown, crunchy, gross snow that's been on the ground for weeks, but the soft, floating flakes coming down from the sky. I love walking as the snow comes slowly and gently towards the ground. Every winter, I have the same sense of wonder as I gaze up towards the sky and watch the flakes almost appear from nowhere. A few days ago, we had our first real snowfall (real=the snow is actually sticking to the ground). Matt knows how much I love the snow, so he had our front window blinds wide open when I woke up. I insisted that we immediately go outside and take pictures. Matt was practical and shoveled the walkway while I dusted off our car. I really wish our baby was here to enjoy it with us! That will just have to wait a while.
In other news, we are officially in the third trimester as of this week! Woohoo! The baby bump is definitely getting bigger--and he's still got several pounds to go!
| Matt dutifully shoveling the snow with a metal shovel. |
| Matt, looking ruggedly handsome. |
| We love the snow! |
| Jessica posing in her new maternity coat in front of our apartment. |
| The car! Good thing the snow hadn't turned to ice yet! |
In other news, we are officially in the third trimester as of this week! Woohoo! The baby bump is definitely getting bigger--and he's still got several pounds to go!
| Jessica at 28 weeks. |
Wednesday, January 9, 2013
Flax Seed Skillet Bread
So we acquired a beautiful cast iron skillet a little while ago and Matt has been itching to try it out. Cast iron has a real mystical quality. It seems like anything you make in cast iron will no doubt taste better than if you used anything else. Tonight turned out to be the time to experiment. We were making cajun beans in our crockpot and needed a nice bread to go with it. Cornbread is the obvious choice, but we didn't have any cornmeal. Alright, Matt's solution? Make the bread with flax seed instead. This version of a skillet bread is definitely delicious, and it has a bunch more of that magical nutritious stuff than your typical cornbread. Here's the recipe!
2/3 cup sugar
2 eggs
1 cup butter milk (or 1 cup milk with 1 Tb vinegar)
1 teaspoon baking soda
1 cup whole wheat flour
1/2 cup all-purpose flour
1/2 cup milled flax seed
1/2 teaspoon salt
Flax Seed Skillet Bread
What you need:
1/2 cup margarine, melted2/3 cup sugar
2 eggs
1 cup butter milk (or 1 cup milk with 1 Tb vinegar)
1 teaspoon baking soda
1 cup whole wheat flour
1/2 cup all-purpose flour
1/2 cup milled flax seed
1/2 teaspoon salt
Directions:
Melt margarine. Stir in sugar. Add eggs and beat until blended. Combine buttermilk with baking soda. Add to egg mixture. Stir in dry ingredients until blended. Pour into 9x9 pan (or skillet!). Bake at 350 for 30 minutes. (Shorten cooking time to 25 minutes if you use a cast iron pan). And enjoy!Thursday, December 6, 2012
AND it's a.........
The Tests
1. How the baby is carried (high=girl, low=boy): BOY2. Heartbeat (under 140=boy, above 140=girl): GIRL
3. Cravings (sweet=girl, salty/sour=boy): GIRL
4. Ancient Chinese Prediction Method (Age at conception + Month of conception): GIRL
5. Ancient Mayan Prediction Method (Age and Year of conception are both even or odd=girl, not the same=boy): GIRL
6. How a key is picked up (narrow part=girl, round part=boy): GIRL
7. Pregnancy acne (normal=boy, worse=girl): BOY
8. Swinging wedding ring (circle=boy, back and forth=girl): BOY
9. Morning sickness in first trimester (bad=girl, little or none=boy): GIRL
10. How baby weight is carried (hips=girl, tummy=boy): GIRL
Our Analysis
We decided to use a weighted average of our ten-dimensional vector to statistically combine the results of all ten tests. The weights are a number between 1 and 0 that conveys how much we trust that particular measure (1 = perfect trust, 0 = no trust whatsoever). The vector of predictions (Vp) is first assembled thus (1 = girl, -1 = boy):
[-1, 1, 1, 1, 1, 1, -1, -1, 1, 1]
Our trust values are chosen based on the following reasons:
1. We don't trust this as much because in Kangeroos it can be misleading. Trust = 0.4
2. We trust this measure based on average laziness of genders as measured by conference talks about the need to work harder (although the measure loses predictive power during puberty when in the presence of the opposite gender). Trust = 0.8
3. Jessica always wants sweet stuff. How predictive could that be? Trust = 0.3
4,5. Ancient methods agree, and are tried and true. Trust = 0.95433234
6. Based on solid physical principles. Trust = 0.8
7. Results of this predictor can be confounded with craving predictor, and they don't agree. Trust = 0.45
8. I've seen big pendulums in science museums predicting the baby's gender inside mother earth, and I trust the curators of science museums generally. Trust = 0.9
9. Girls don't make me barfy. This is simply absurd. Trust = 0.01
10. No comment on baby weight from the analyst. Trust is a neutral 0.5
Trust vector (Vt):
[0.4, 0.8, 0.3, 0.95433234, 0.95433234, 0.8, 0.45, 0.9, 0.01, 0.5]
Final weighted average =
Vp * Vt / 10 = 0.2569
0.2569 > 0
The Real Deal
Ok, so after the fun with at-home prediction methods, we wanted to double check our answer. We went in to do the ultrasound and got a pretty clear result. You can see for yourself!
Works Cited:
1. M. R. Kosorok et al. 19something
2. Nate Silver on Bubbles, 20something
3. Nostradamus et al. The Prophecies, 15something
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