text:
Christopher John Lindsay
Short Stories, Essays, Funny Emails
Fables Short Stories
The Pig Who Loved Mud Wrestling: A Fable
By Christopher Lindsay July 21, 2017 May 5, 2019
2 Comments on The Pig Who Loved Mud Wrestling: A Fable
To add some excitement to his life, a middle-aged boar goes to mud wrestling every week, but he doesn't tell his wife.
Long ago, a young boar named Bart went to a Swine Party. In villages and towns throughout the land, a Swine Party—usually held in a large barn—is where young single pigs went to meet.
As soon as Bart walked through the front door of the barn, one sow standing alone in the corner caught his eye. She had pink ears, a pink snout, a perky pink tail, and she was wearing a pretty pink dress. Her name was Wilma.
Bart walked up to her and asked, "Will you dance with me? You're the prettiest pig I've ever seen!"
Her heart racing, Wilma blushed and said, "Sure I will!"
Then Bart walked her to the dance floor.
In the center of the barn, a three-boar band was playing hillbilly music with a banjo, fiddle, and drums. A dance floor encircled the band, and dozens of sows and boars were stomping and swinging to the beat.
After dancing for seven straight songs, Bart and Wilma were sweating from head to hoof.
"I need to take a break," Bart said, out of breath.
"Okay," Wilma laughed. "You sit down, but I'm just getting started!"
Bart sat on a bench beside several other boars, and watched Wilma dance, shaking her body and stomping her hooves on the dance floor.
After that night, nature took its course, and six months later, Bart and Wilma got married.
For their honeymoon, Bart took Wilma to a resort with hot springs and mud baths. On their first night, when they were sitting up to their necks in mud, Wilma said, "Ever since I was a little pig, I've wanted to be a mother."
Bart smiled and said slyly, "Ever since I met you, I've wanted to make some little piggies!" And then he grabbed Wilma, carried her out of the mud bath, and took her to their mud hut.
When they returned from their honeymoon, Wilma and Bart bought a barn just outside their village. It was a small barn with four bedrooms and a loft, but big enough for them to start a family.
Bart had a job in a corn mill, grinding corn with his feet ten hours a day. Wilma stayed at home, made the meals and planted a garden. Three months after they were married, she gave birth to twelve healthy piglets.
Bart and Wilma were a happy family. Bart worked hard and was promoted to boss-hog. Five years went by, and their piglets became full-grown. And then, as all young pigs must eventually do, they moved out, got married, and lived in their own barns.
The day after the last pig left, Wilma said sadly, "Our barn feels so empty without our little piglets."
"I know," Bart sighed. "What's life all about? What's the meaning?"
Wilma thought for a moment and said, "We'll both grow old together, go for long walks, and enjoy each other's company."
"Yes," Bart said, forcing a smile. "Until death do a pig part." But in his heart, that didn't sound very exciting.
One Friday after work, Bart was walking home, when Fred, a boar he worked with, caught up with him. Fred was middle-aged and divorced.
"Hey, Bart! You want to go to mud wrestling tonight?"
Bart shook his head. "I don't think Wilma would approve."
"She doesn't need to know. Just make up an excuse."
Bart thought it over and grinned. "What the heck? Every boar deserves to have a little fun now and again."
Fred slapped Bart on the back. "You got that right! You won't be the same pig after tonight."
Bart went home, and after supper, he told Wilma: "I'm going to play cards tonight with Fred and some of the boars from work."
"Okay," Wilma said. "But please be home by eleven. You know I get worried if you're out too late."
"I'll be home on time," Bart promised, and then he and Wilma rubbed their snouts together.
After dinner, Bart met up with Fred at a place called The Mud Pie. It was a sand pit with a large pool of mud in the center and stadium seating on one side. A hundred other boars were there, and most of them were drinking swill. Fred bought tickets for the front row, and Bart bought two bottles of hogwash from the canteen.
Not long after Fred and Bart sat down, a massive boar, holding a hammer, struck a bronze gong beside the pool of mud, and the first match began. Two young sows came out of separate tents in the corner of the pit. They were both very beautiful, had shaved bodies, and weren't wearing any clothes.
Fred said excitedly, "Look at the ham on the short one! Oh, yeah!"
"I like the tall one better," Bart blurted. "I love her thick shanks!"
The two sows walked around the pool of mud, taunting each other with angry stares, and when they wiggled their rumps, all the boars roared.
The two young sows pushed, slapped, and tried to trip each other until they both fell down and rolled around in the mud. Each sow scored a point when they pinned their opponent. The match lasted for a half an hour, and Bart enjoyed every minute of it. He felt like a young boar again, grunting and squealing at the top of his lungs.
After that, there were three more matches. When the wrestling was over, Bart thanked Fred for inviting him and hurried home to Wilma.
He found her sitting on the bench in the living room, pigging out on a bowl of buttered corn. "Did you have a good time with your boar friends?" she asked.
"I sure did!" Bart said, his face beaming.
Then he grabbed Wilma, and tried to pick her up, but she was too heavy. So, offering her his forearm, he walked her to the bedroom, and they made wild pig love.
The weeks went by, and every Friday, Bart went with Fred to mud wrestling. One night, after he got home, he said to Wilma: "I think we should start exercising."
Wilma asked, "Why? Do you think I'm fat?"
Bart and Wilma's jowls had tripled in size since they first met. They were both fat pigs.
"Not at all," Bart replied. "But we're getting older. If we don't exercise, we might get — heart disease."
Wilma exploded in anger. "I work hard in the garden, walk to the market every day, and you think I'm a fat, lazy pig! I hate you!"
Bart tried to stay calm. "That's not what I said, Wilma."
"That's what you're thinking." Then Wilma started crying, ran to the bedroom, and locked the door.
No matter what Bart said, Wilma wouldn't change her mind. She didn't want to exercise, and she got angry every time Bart suggested it.
So Bart exercised on his own. He lifted sacks of corn, lost a lot of weight, and became really buff.
The weeks went by, and Bart continued to go to mud wrestling with Fred. One Friday, after the final match, he was about to go home when Sally Strong—the number-one wrestler—sashayed up to him. She wore a beautiful red dress, and reminded him of Wilma when she was younger.
"Hi there," Sally said. "I see you here every week."
"I come to see you!" Bart said with a big grin. "You're an amazing wrestler."
"You should be a wrestler. You've got the muscles for it."
"Yeah, I've thought about it," Bart said offhandedly, "but I'm happy doing what I'm doing."
"I'm a boss-hog at the corn mill."
"I like a boar who can command other boars," Sally said, fluttering her eyes.
"I am a powerful pig!" Bart boasted. "Look at these." And then he flexed his muscles.
Sally giggled. "Ooh! My tail is wiggling!"
Bart and Sally talked for a while, and then she asked, "Do you want to get a glass of swill?"
"Sure I do!" Bart said with a big grin.
They went to the Wild Boar Inn, sat at the bar, and drank several glasses of swill. Then, at one in the morning, Bart realized how late it was.
"Whoa, I gotta go!"
"Oh," Sally said, disappointed. "Will I see you again?"
"Maybe. Probably. I'm not sure." And then Bart put money on the table and ran home.
When he unlocked the barn door, Wilma was sitting at the kitchen table, wrapped in a blanket. "Where were you?!" she asked angrily.
"I—uh… Fred and I had a few glasses of swill at the Wild Boar."
"Is that the truth?"
"Yes, what did you think I was doing?"
Wilma frowned. "You can sleep in the loft tonight."
"If that's what you want."
"It's what you deserve—for being so inconsiderate."
Then Wilma trotted to the bedroom and locked the door.
The next morning, Bart and Wilma didn't eat breakfast together, and when Bart came home after work, they barely talked to each other.
That night, he decided he would sleep again in the loft.
"I think I'll sleep better tonight if I have my own bed," he explained to Wilma. "I'm getting older, and I toss and turn from sore muscles."
Wilma sighed. "Sleep wherever you want."
For the rest of the week, Bart continued to sleep in the loft. Then on Friday, after the first wrestling match at The Mud Pie, he said to Fred: "I've got to be honest with Wilma."
"Are you crazy? She'll kick you out of the barn. That's what my wife did."
Bart shook his head. "I'm not going to tell her about mud wrestling."
"What are you going to tell her?"
Bart didn't answer Fred. He got up and left, and as soon as he got home, he went into Wilma's bedroom. She was sitting on the bed in her pink pajamas, reading a book.
"You're home early," she said.
"Wilma, I've decided something."
"Oh? What is it?"
"I want to live on my own."
"What?!" Wilma said, her face stricken. "Why?"
"We've grown apart. I don't love you anymore."
"You're seeing another sow!" Wilma yelled. "Who is she?"
"I'm not seeing anyone," Bart said, and then he left the room and packed his things in a sack.
Before Bart left, he went back to Wilma's bedroom and said, "I'll send you some money—until you can make it on your own."
"I don't need anything from you!" Wilma said with contempt, but after Bart was gone, she broke down and cried.
The next day, Bart rented a small barn; he started seeing Sally, and he soon discovered that she was totally different than Wilma.
Bart and Wilma often went for walks in the woods, but Sally liked to run through the fields and wrestle with him, and he got a sore back.
On weekends, Bart and Wilma went to bed at midnight, but Sally liked to drink swill until sunrise, and Bart felt exhausted when he went to work on Monday.
When Bart got home from work, Wilma always had a hot supper waiting for him—corn, potatoes, or onions—but Sally didn't know how to cook, so they went to a cook-house to eat.
Although Sally earned a lot of money as a wrestler, she wasn't a smart shopper like Wilma, and didn't save anything. She often asked Bart if he could buy her new clothes.
The weeks went by, and Bart woke up one morning and realized how much he missed Wilma. So that same day after work, he went to see her and knocked on her door.
Wilma opened the door and said calmly, "Hello, Bart."
"Hi, Wilma," Bart replied, and then he just stood there, not knowing what to say.
"Is there something you want?" Wilma finally asked.
"Wilma, I made a mistake." Bart said sadly. "I love you, and I'd like to come back. Will you forgive me?"
Wilma frowned. "It's too late for that."
An old boar with white hair came to the door and put his arm around Wilma.
"Bart," Wilma said. "This is William."
Bart was shocked. "You have a boar-friend?"
"Yes," Wilma said with a smile. "We met a month ago."
"At a Senior's Swine Party," William said.
"But he's old," Bart said, wide-eyed.
"Yes; and I'm fat," Wilma said.
"She makes me feel young again," William said with a big grin. "She's full of energy and spunk."
Bart couldn't argue with that. So he left, went back to his barn, and asked Sally to move in with him. Day after day, he tried to change her, but she was who she was.
And six months later, Wilma married William, an old boar who loved her just as she was.
Published in The Donkey King and Other Stories
Tags: Fables mid life crisis mud wrestling pigs Short Stories The Donkey King
Published by Christopher Lindsay
My 10-minute play, Vanna Helsing, will be performed at the New Vintage Theatre in February 2020. I am the author of Letters from a Madman & The Donkey King and Other Stories. Available on Amazon.	View all posts by Christopher Lindsay
Chris Lindsay says:
Thank you, Tim. Those are very good observations. I wanted the reader to be more sympathetic to Wilma in being abandoned by Bart, but I didn't want her to be totally "blameless" either. I'm glad you noticed that.
I enjoyed your story! It reflects real life all too often. I think Bart may have been better off on his own though. Wilma seemed unwilling to even have a conversation about exercising (let alone doing it), as well as quickly saying she hated him. If it was important to him, she should have at least thought about it. She also quickly jumped to the assumption that Bart was cheating on her. She just doesn't seem like a pig I could love. 🙂
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Jack has asked to see both Leo and Dani in his office. Dani informs Leo that she thinks he will be offered a new position to manage a new project that is starting soon. Dani helps Leo to learn Chinese words that Jack may use in the meeting. Jack is glad to hear that Leo is enjoying his time in Beijing so far, and offers him a 12 months contract to stay on. Leo is happy to accept the new role and Jack congratulates him in Mandarin Chinese.
The is a growing amount of expatriates working in China in recent years. Locations like Hong Kong have long been associated with a strong expat scene due to the presence of many multinational companies there, especially within the finance industry. Nowadays Chinese locations such as Shenzhen, Guangzhou, Shanghai and Beijing among others can be added to that list.
Services have appeared to service this growing segment of the population. For example, Harrow and Dulwich College, both exclusive British schools, now have offshoots in Beijing to cater for Western executives who relocate their families to China while on assignment.


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Gandzasar Monastery
Vank town, the Republic of Nagorno Karabakh
Gandzasar monastery complex is located in Vank town, the Republic of Nagorno Karabakh. It was built in the 10th-13th centuries. The church was named after the hill located in front of the monastery. That hill is famous for its silver and other metals mines.
The first reference to this church did Catholicos Anania Mokatsi in the 10th century. According to him, the church Saint Hovhannes Mkrtich was built in 1216-1238 by the Duke of the Artsakh Hasan-Jalal and already on September 22, 1240, it was officially consecrated. In the 18th century, Gandzasar was liberation movement center till 1815.
Gandzasar monastery complex is surrounded by high walls and includes Saint Hovhannes Mkrtich Church, courtyard, barriers, residential cells, refectory and two-storey building o a school. In the southern part of the monastery is an ancient cemetery. Some artist claims that the church must be classified in the list of masterpieces of Armenian architecture. In this church was buried Hovhannes Mkrtich. The courtyard was founded Hasan and his wife, in 1261.
Anatoli Yakobson, a famous archaeologist, described this church as a "Pearl of Architectural Art". On the walls of Gandzasar are lots of Armenian inscriptions. In 1909 Hovsep Orbeli counted the inscriptions which were more than 84, in one of them found the history of building's construction.
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For Brands, For Influencers
9 Successful Influencer Case Studies No Growing Brand Should Miss
We've got a question for you:
Are you using social media influence to expand the strength and reach of your brand?
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Photo Credit: Unplash
That means Americans of all shapes, all sizes, all interests, and all ages have some social media presence, and many (more than 40%) are checking in with that presence every day.
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To illustrate how today's most significant global brands are leveraging the reach and engagement of the Facebook-owned photo-sharing app, we've compiled a list of over 20 Instagram case studies, including each campaign's creative strategy, examples of how companies created their brand-sponsored content (with and without digital influencers), and the results for each marketing initiative.
Southwest Takes on Bloody Sunday – A Look at Staying Responsive and Engaged
Photo Credit: Media Leaders
"**it" hit the proverbial fan on Sunday, October 11th, 2015, when an unexpected software glitch forced Southwest Airlines to ground more than 800 flights (approximately 25% of its daily traffic).
As Southwest Airlines ground crews and ticket agents locked eyes with tens of thousands of passengers ranging from annoyed to angry, the company's nascent "social business" team took to Twitter's to connect with every single passenger they could find.
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By employing the power of the Twittersphere, Southwest side-stepped a brand disaster and made a lot of life-long customers out of an event that would have left less socially engaged airlines reeling.
(Read the full study here.)
Bringing Bonobos' New Line to Life – A Look at using Instagram's Influence to Unveil
When Bonobos looked to launch a new line of athletic men's wear, they didn't turn to antiquated means of marketing — they turned to social media influencers like stuntman, motorcyclist, and Instagrammer, Riley Harper.
Adored by his 100k+ followers "for his cool West Coast lifestyle and photography," Riley was the perfect fit for both the brand and the campaign.
(Read the full story here.)
Kimberly-Clark & #HolidayNecessities – A Look at Creating Holiday Relevance
Toilet paper. Kleenex. Paper towels. Diapers. Tampons.
Not really items that scream "buy me!" when it's time to do the holiday shopping.
But Kimberly-Clark—the massive, multi-national corporation with an array of goods in the personal-care space — didn't want to miss out on the seasonal flood of consumers to Costco's, Safeway's, Walmart's, and other big-name stores that carry Kimberly-Clark products.
So, the corporation partnered with an influencer marketing agency (Clever) to contact "thousands of influencers-moms who love to host during the holidays," asking them to use their presence on Twitter and Instagram to broadcast the importance of being prepared with #HolidayNecessities.
Meghan Joins the Old Navy – A Look at Tapping Social Media Super-Users
Photo Credit: i.ytimg
When you've crossed the threshold of 1-million followers on Instagram, and 2-million followers on YouTube, there can be little doubt about your super-user status.
These individuals have more than massive reach, and they have massive pull over the audiences that follow them.
So, it was no surprise the marketing team at Old Navy asked social media super-user Meghan Rienks to adorn some of their threads and create content (like this) capable of promoting the brand on YouTube.
Mini Makes a Micro Move – A Look at Channeling Instagram Micro-Influencers to Win
Making the average consumer pay attention to the release of a new car isn't easy, even for a brand with as much curbside appeal as MINI.
Knowing this, MINI Australia recruited five Instagram micro-influencers to get behind the wheel of a new MINI Convertible, and showcase the brand, the car, and their adventures while driving with the top-down.
Red Bull's InstaInspiration – A Look at Creating Searing Identity Influence
Photo Credit: Rohan Chambers
More than any other social media medium, Red Bull is using Instagram to sear its brand identity into the minds of its 7-million+ followers.
The company is capitalizing on the natural thirst for awe, wonder, and sheer amazement to permanently affix its brand with "awesome."
Part of Red Bull's Instagram success comes from its ability to piggyback off the success of established social media influencers through regrams.
Wear WEARHAUS This Valentines' Day – A Look at Making Something Out of Nothing
When you think of Valentine's Day, you think of brands like FTD, See's, and Hallmark.
You don't think of consumer technology brands, like WEARHAUS, purveyors of world-class wireless headphones.
But WEARHAUS didn't let their unconventional industry niche prevent them from appealing to the wallets of consumers on this otherwise conventional holiday.
WEARHAUS — in conjunction with their influencer marketing agency, Clever — reached out to seven, Instagram-power-using couples to demonstrate the surprisingly romantic appeal of a pair of headphones.
The results? — nearly 100,000 views, and 20,000-plus engagements. Proof that social media can help brands make something out of a whole lot of nothing.
Making McDonald's Cool – A Look at Seasonal Persuasion Via Facebook and Twitter
Photo Credit: Refinery29
Adding degrees of "cool" to a brand as established (and stigmatized) as McDonald's requires appealing to audiences in a subdued way.
Tapping into the power of lesser-known social media influencers like Lily Melrose and Sam King was a way for McDonald's to not only generate a half-million visitors to their mobile website, but it was also a way for them tie their McCafe line of products to chic personalities with favorable appeal amongst younger audiences.
HP Uses Influencers to Prepare for Launch – A Look a Building Hype
Laptops aren't thought of as young and hip—at least HP laptops aren't. A fact which the Palo Alto-based corporation was all too aware.
So, before the launch of their new Spectre laptop in Australia, HP enlisted the assistance of various fashion-forward Instagram influencers to "increase product awareness among a young target market who appreciate stylish design when it comes to technology."
For a full week, these influencers posted carefully curated photos of themselves with the product to build launch momentum, reaching more than 900,000 followers, and generating more than 60,000 direct engagements in the process.
Use these fantastic Case Studies to increase your knowledge of social media. You don't have to go out there and re-invent the wheel. There are incredible companies making big moves already. Moves that you can make your own. Implementing some of the ideas above will make you a more well-rounded Influencer.
Or, you can take parts and pieces of the Case Studies listed above and create your campaigns. Whatever you choose to do, make it your own. Put your spin on it, so your fans and followers will see your personality shining through!
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text:
Alticorpus (Latein: "Altus" = hoch, "corpus" = Körper) ist eine Gattung von afrikanischen Buntbarschen, die endemisch im Malawisee in Ostafrika vorkommt. Die fünf Arten der Gattung leben in größeren Tiefen von 18 bis 150 Metern über Sandböden oder Diatomeenschlamm.

Merkmale
Je nach Art können Alticorpus-Arten zwischen 12,5 und 20 Zentimeter lang werden. Ihr Körper ist hochrückig und seitlich deutlich abgeflacht. Der Kopf ist relativ groß, das Maul tief gespalten. Charakteristisch für die Gattung sind sechs bis acht Querstreifen auf den Körperseiten, vergrößerte Seitenlinienporen auf den Infraorbitalknochen, zwei bis vier Schuppenreihen auf den "Wangen" und ein kleiner, ventral liegender, mittiger Vorsprung an der Unterkiefersymphyse.

 Flossenformel: Dorsale XIV–XVII/9–11; Anale III/8–10.

Arten
Gegenwärtig besteht die Gattung Alticorpus aus fünf Arten.
 Alticorpus geoffreyi Snoeks & Walapa, 2004
 Alticorpus macrocleithrum (Stauffer & McKaye, 1985)
 Alticorpus mentale Stauffer & McKaye, 1988 (Typusart)
 Alticorpus peterdaviesi (Burgess & Axelrod, 1973)
 Alticorpus profundicola Stauffer & McKaye, 1988

Literatur
 Jay R. Stauffer, Jr. und Kenneth R. McKaye (1988): Description of a genus and three deep water species of fishes (Teleostei: Cichlidae) from Lake Malawi. Copeia 1988 (no. 2): 441–449. DOI: 10.2307/1445885

Weblinks

Haplochromine Buntbarsche
Haplochromini

redpajama_set_name: RedPajamaWikipedia


The instance Black rose : In the Garden Trilogy, Book 2., Nora Roberts, (downloadable ebook) represents a material embodiment of a distinct intellectual or artistic creation found in Multnomah County Library. This resource is a combination of several types including: Instance, Electronic.
In the Garden Trilogy, Book 2.
Black rose : In the Garden Trilogy, Book 2.


text:
"""
Frequency distribution of random samples (variable size), collected
random times (variable number of groups), for specified score.
"""
from random import random
import matplotlib.pyplot as plt

# generate 4 scores for specified probability (species rarity weight)
def random_score():
    x = random()
    if x < 0.6: return 0
    if x < 0.8: return 3
    if x < 0.9: return 9
    return 27

# generate scores for m times (number of species per plot)
def random_scores(m):
    return [random_score() for j in range(m)]

# generic mean calculation function
# used to calculate mean score for sample m
def mean(x):
    return float(sum(x))/len(x)

# generate means of random scores by defining:
# group size = sample size of species pool
# number of group = number of sampling
def random_means(group_size,number_of_groups):
    return [mean(random_scores(group_size)) for i in range(number_of_groups)]

# generate histogram
plt.hist(random_means(500,10000), bins=50)
plt.show()

redpajama_set_name: RedPajamaGithub


text:
from django.conf.urls.defaults import *

urlpatterns = patterns('simplepages.views',
    (r'^auto-url-prepend.js$', 'auto_url_prepend_js'),
)


Beyond the southern end of the Central Alps a broad topped mountain rises out of the lesser, nondescript ranges acting as a backdrop to the small city of Nakatsugawa. This is Ena-san. A peak I'd long cast an eye over whilst venturing further afield when my train rides took me through the Kiso district. It was always a case of cast an eye over and cast aside. Other mountains held more allure, had their access more constrained by the seasons, or timetables. Ena-san, though past Nagoya, was within reach of home. A quick bullet train ride to Nagoya and express train after that to Nakatsugawa was all that was required. She was one of those peaks I could climb at relatively anytime.
In the end, it was only on my way home, with 98 of the hundred mountains in the books that I dropped by Ena-san. The last of the Alps lay in my rearview mirror and I took a slow train out of Toyama to Nakatsugawa the day after getting off Yakushi-dake. Ena had sat patiently waiting, knowing her time would eventually come.
The morning after that I set out for Ena. Another bright October day was promised. With no buses up to the trailhead at Misaka Pass I was braced for another wallet wringing taxi ride. The cabbie smelt 'sucker' – or so he thought – as I approached I'm sure. He'd probably spotted me as soon as I stepped out of my dingy little hotel across from the station rotunda, still bleary eyed and with a Seven Eleven breakfast settling in my gut.
I pointed out Misaka Pass on my map. Having such a resource in my possession didn't deter him in the least. The drive to the pass according to my map had us bound for a straight run out of town and quickly into the hills up a multitude of switchbacks. In reality the 'straight' section seemed to last longer than I expected and though the road began to curve and wind, I suspected we should have been negotiating tighter bends if my map was anything worth relying upon. On we went through foggy hamlets into the Kiso countryside.
The last time I'd decided to give Ena a miss and head for other mountains was when I came off Haku-san, some ten peaks earlier, in the September of that year when my final mountain sojourn was commencing. I'd studied the best way to get to Nakatsugawa from Haku-san and decided hitching a ride along a certain Route 256 would be my best bet. Once beyond Nakatsugawa to the east though, it runs out into the hills north of Ena and when I spotted a 256 on a road sign flash by me in the cab I knew I was being taken for a ride…whilst being taken for a ride.
"Wait! Wait! Wait!" I suddenly bellowed from the back seat, startling the driver, "Stop! Stop! Stop! Where the hell are we going? Ni-go-roku!" I hollered the route number at him. "No, no, no!" and I brandished my map, pointed at Misaka Pass and ordered, "Meter, stoppu!" in my best Japanese as I pointed at the 5000 yen fare already clocked up on the digital display.
I really have no idea what he thought but he seemed contrite as much as I could make out, and he stopped the meter. Some time later we made the pass and I organised for him or a colleague to return and collect me later that afternoon. A few other vehicles were parked at the side of the road and as I checked the way ahead on my map a middle-aged Japanese fellow with a white towel tied around his head walked up and said, "Hi! Let me take your photo!" and motioned for my camera. I stood at the trailhead sign and he fired off a couple of shots and handed the camera back to me. That was kind of strange, but I guess he thought I should have a memento of the place.
Misaka Pass, is where the Nakasendo, the old inland route of lore between Kyoto and Tokyo, used to run, before diverting along the Kiso Valley. Fukada-san also mentions an old route up the mountain from the Ena Shrine that is so lengthy that it is interspersed with twenty staging posts rather than the traditional ten found on many mountains in Japan.
From Misaka Pass, I strolled through a rolling upland of bamboo grass before the trail led me into woods sporting all the hues of autumn. Once hitting the trail that traverses the long summit ridge the forests turned to scatty, spindly conifer and the bright autumnal colours were replaced by dark and monotone.
A crowd of hikers picnicked in the woods on the summit. All views were hemmed in by the trees. Ena-san rising to just below 2200 metres was my first forested summit for a considerable time. Not since summiting Tekari-dake at the end of the previous year's summer had I sat in a woodland setting on top of a mountain. I didn't sit there long though and quickly returned the way I had come. So quickly in fact that I made it back to the pass about an hour before my scheduled taxi pick up.
I swallowed some water and decided, instead of hanging around up there in a chilly afternoon breeze, to start walking down the road to Nakatsugawa and meet the taxi on its way up. Who knew – if I made good progress I might even knock a thousand yen off the cab fare.
Well progress wasn't made. Not on foot anyway. I think I made it around a solitary switchback before a black family wagon pulled up and asked if I wanted a lift down into Nakatsugawa. What could I say but yes. A guilt ridden yes at that, but one I reasoned would get me back to town in time to cancel the cab. But what cab firm had I used that morning? As I rode in comfort down the winding road I tried to recall something as simple as the colour of the taxi but I couldn't be sure. Had it been the usual black or something else? I'd paid barely any attention to such details. I sat alongside a wide-eyed sister and brother duo and while I chatted about the usual mundane things to the parents in the front seats – home country, job, how do I like Japan, what about Japanese food – a white taxi with aquamarine fenders sailed up the road past us. Instinctively I sunk in my seat. But those hadn't been the colours of my taxi – had they?
In the end, I collected my bag from my lodgings of the night before and slunk guiltily out of town before any rogue cabbie spotted me and gathered together a lynch mob. With only one mountain left standing between me and Hyakumeizan glory the last thing I needed was to be kneecapped and strung up by some of the local populace.
This entry was posted in Hyakumeizan, Mountains 91 - 100 and tagged ena-san, hiking in japan, hyakumeizan, japan, mount ena, mountains, nature, one hundred mountains, photography, Travel. Bookmark the permalink.


text:
Fallout: The Financial Crisis
Pelosi: Bailout bill just the beginning
Marketplace Staff Oct 3, 2008
https://www.marketplace.org/2008/10/03/pelosi-bailout-bill-just-beginning/
Kai Ryssdal: We'll continue with Fallout: our coverage of the financial crisis by going straight to the source to talk about the bailout bill that passed the House today. Nancy Pelosi will be with us. As always, the devil's in the details. There are plenty of details when you're spending $700 billion. We'll look at the mechanics of what comes next.
First, though, today's vote. The revised rescue package passed the House 263-171. That's about 60 more votes more than the plan got Monday. And a good place to start, I suppose.
Speaker Pelosi, welcome to the program.
Nancy Pelosi: My pleasure.
Ryssdal: This bill passed fairly overwhelmingly today. A lot of votes switched. How come?
Pelosi: Well, the bill changed. For one thing, it had a big FDIC improvement from $100,000 to $250,000 to help community banks and small businesses and people across the country. It had some other additions to it that I wasn't too pleased with, but nonetheless, it pleased some people. I think the main reason from our standpoint that it changed is that the leadership of Barack Obama had a big influence on our caucus. We were talking about different provisions and why this was urgent and why
this bill might work or whatever. And he just lifted it up to a place of confidence, where they felt the decision was right to act and that not to act could cause harm to the grassroots people, the people on Main Street and Martin Luther King Way and Cesar Chavez Boulevard and other neighborhoods in our country.
Ryssdal: A lot of people who rose to speak against this bill today said it doesn't really do much to fix the real problem, two real problems. One is the lack of regulation on Wall Street the other is those people on Main Street. What's your response?
Pelosi: Well in terms of regulation, it is just the beginning. As I said in my remarks we had to look at the, pass this bill with an eye to the future in terms of what vision we want to have for our country in terms of our economy and what other legislation we must pass to affect that. And one is regulatory reform, which Henry Waxman is starting on right now, he will have hearings to this effect. And then there is Barney Frank and his committee will be launching legislation to readjust the financial structure, so that the American people are not left holding the bag when high flyers on Wall Street take a risk, have a golden parachute and leave the taxpayer with the tab.
Ryssdal: What conversations have you had with Secretary Paulson about how the Congress is going to do to keep an eye on him and the Treasury Department?
Pelosi: I've spoken with him two times today, I think it's just two. I wanted to know how long it would take for him to spend the first installment of the money that was going out.
Ryssdal: Sure. What did he say? How long is it going to take.
Pelosi: He didn't give me a direct answer, but I'm expecting one soon. This was before the bill was passed, so I think maybe he didn't want me to be going on the floor and saying this is how long it's going to take. But in any event, I'm sure we'll find out in the next couple of weeks.
Ryssdal: As you know, it's been a tough week in the stock markets and the credit markets since the bill was defeated the first time on Monday. If you had it to do again, would you have brought that bill up on Monday.
Pelosi: Well, we would have because we had the votes.
Ryssdal: But not really, right?
Pelosi: No, but we on the Democratic side, we were responsible for 122 votes; we produced 141. The Republicans were supposed to produce 100 votes and they produced 65. But the idea that we would be half and half, we would have brought it up because it was urgent at that time. The Senate then passed a bill that was the same in its basic in terms of how it dealt with the crisis, but different in terms of what it added on to the bill. And that made it a little bit harder for us, because a number of our members did not like the costs. But if we had known we needed that vote in the first place, we would have had a different bill in the first place.
Ryssdal: You going to be able to take the weekend off this weekend?
Pelosi: No. I have some events to go to right now in Washington and Baltimore, and then I travel home. Then I start Sunday on the campaign trail. Then I go to Rocky Mountain West all next week, and it just keeps going in 20 states. I don't know how many days. I'll celebrate after the election.
Ryssdal: Nancy Pelosi, the Speaker of the House. Thank you.
Pelosi: Thank you, Kai.
Democrats to redraft virus relief in bid to jump-start talks
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Republicans have rolled out a COVID-19 relief bill. Here's what it includes.
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Also Included in


Leading Pan-African satelite/cable TV service provider, DSTV, has launched an installation app for its agents nationwide.
Speaking at the launch in Lagos , Multichoice Nigeria's Head of National Projects & Field Operations, Mr. Ekom Esang, said the app, which is a web-based platform, will enable its certified installers connect with its customers across Nigeria who are in need of their services.
He said it will also enable any prospective installer to register as agent on its platform and render top-notch services to its growing customers base.
The Head of National Sales at Multichoice Nigeria, Mr. Ismail Olalekan, also pointed out that new installers would undergo coaching process, where they will be accessed based on their skills and guided through the installation processes.
He added that the platform was created to help its installers get job referrals within their chosen locality. He noted that installers who also post installation request on the platform would have higher ratings and may get more job referrals than others. Also speaking at the event, Multichoice Nigeria's Head of Corporate Communications, Caroline Oghuma, said customers will also get SMS from DSTV, confirming the time, date and details of the installer assigned to each customer's service request.


"Aggregate  (cost=963.92..963.93 rows=1 width=120) (actual time=104.628..104.628 rows=1 loops=1)"
"  Output: count(patient.id), sum(CASE WHEN ((pc.id = 1) AND (patient.call_center_patient_category_id IS NULL)) THEN 1 ELSE 0 END), sum(CASE WHEN ((patient.call_center_patient_category_id = 2) OR ((patient.call_center_patient_category_id IS NULL) AND (pc.id (...)"
"  ->  Nested Loop Left Join  (cost=20.54..192.77 rows=33 width=20) (actual time=0.084..24.054 rows=2772 loops=1)"
"        Output: patient.id, pc.id, patient.call_center_patient_category_id, adt."time""
"        ->  Nested Loop Left Join  (cost=20.12..177.99 rows=33 width=20) (actual time=0.082..17.366 rows=2772 loops=1)"
"              Output: patient.id, patient.call_center_patient_category_id, pc.id, adt."time""
"              ->  Nested Loop  (cost=19.83..167.42 rows=33 width=12) (actual time=0.077..13.469 rows=2772 loops=1)"
"                    Output: patient.id, patient.call_center_patient_category_id, pc.id"
"                    Join Filter: ((patient.created_at >= campaign.datefrom) AND (patient.created_at <= campaign.dateto))"
"                    Rows Removed by Join Filter: 14490"
"                    ->  Hash Join  (cost=19.41..82.32 rows=28 width=24) (actual time=0.068..0.648 rows=344 loops=1)"
"                          Output: campaign.datefrom, campaign.dateto, spc.id, pc.id"
"                          Hash Cond: (spc.patient_category_id = pc.id)"
"                          ->  Nested Loop  (cost=18.23..80.76 rows=28 width=24) (actual time=0.047..0.532 rows=344 loops=1)"
"                                Output: campaign.datefrom, campaign.dateto, spc.id, spc.patient_category_id"
"                                ->  Nested Loop  (cost=17.81..77.52 rows=3 width=24) (actual time=0.042..0.162 rows=43 loops=1)"
"                                      Output: campaign.study_id, campaign.datefrom, campaign.dateto, ccr.study_id"
"                                      ->  HashAggregate  (cost=17.52..17.72 rows=20 width=4) (actual time=0.035..0.042 rows=20 loops=1)"
"                                            ->  Index Only Scan using call_center_role_study_id_idx on public.call_center_role ccr  (cost=0.28..17.47 rows=20 width=4) (actual time=0.010..0.028 rows=20 loops=1)"
"                                                  Index Cond: (ccr.user_id = 10424)"
"                                      ->  Index Scan using campaign_study_id_idx on public.campaign  (cost=0.29..2.98 rows=1 width=20) (actual time=0.003..0.005 rows=2 loops=20)"
"                                            Output: campaign.study_id, campaign.datefrom, campaign.dateto"
"                                            Index Cond: ((campaign.study_id = ccr.study_id) AND (campaign.study_id IS NOT NULL))"
"                                            Filter: (campaign.patient_qualification_suite IS TRUE)"
"                                ->  Index Scan using study_id_patient_category_id_index on public.study_patient_category spc  (cost=0.42..1.00 rows=8 width=12) (actual time=0.003..0.007 rows=8 loops=43)"
"                                      Output: spc.order_num, spc.is_new_patient_default, spc.id, spc.study_id, spc.patient_category_id"
"                                      Index Cond: (spc.study_id = campaign.study_id)"
"                          ->  Hash  (cost=1.08..1.08 rows=8 width=4) (actual time=0.013..0.013 rows=8 loops=1)"
"                                ->  Seq Scan on public.patient_category pc  (cost=0.00..1.08 rows=8 width=4) (actual time=0.004..0.007 rows=8 loops=1)"
"                    ->  Index Scan using patient_study_patient_category_idx on public.patient  (cost=0.43..1.94 rows=73 width=20) (actual time=0.002..0.027 rows=50 loops=344)"
"                          Output: patient.first_name, patient.last_name, patient.email, patient.phone, patient.dob, patient.gender, patient.bmi, patient.created_at, patient.last_action, patient.updated_at, patient.unsubscribed, patient.is_unsubscribed_by_p (...)"
"                          Index Cond: (patient.study_patient_category_id = spc.id)"
"              ->  Index Scan using user_patient_index on public.alert_dismiss_time adt  (cost=0.29..0.31 rows=1 width=12) (actual time=0.001..0.001 rows=0 loops=2772)"
"                    Output: adt."time", adt.id, adt.patient_id, adt.user_id"
"                    Index Cond: ((adt.user_id = 10432) AND (adt.patient_id = patient.id))"
"        ->  Index Only Scan using patient_disposition_patient_study_idx on public.patient_disposition  (cost=0.42..0.44 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=2772)"
"              Index Cond: (patient_disposition.patient_id = patient.id)"
"    ->  Aggregate  (cost=2.45..2.46 rows=1 width=8) (actual time=0.003..0.003 rows=1 loops=2772)"
"          ->  Index Scan using patient_metadata_patient_id_idx on public.patient_metadata  (cost=0.42..2.45 rows=1 width=0) (actual time=0.003..0.003 rows=0 loops=2772)"
"                Index Cond: (patient_metadata.patient_id = patient.id)"
"                Filter: ((patient_metadata.is_archived IS FALSE) AND ((patient_metadata.meta_key)::text = 'DNQ_REASON'::text) AND ((patient_metadata.meta_data ->> 'waiting_room'::text))::boolean)"
"                Rows Removed by Filter: 1"
"    ->  Aggregate  (cost=20.86..20.87 rows=1 width=8) (actual time=0.024..0.024 rows=1 loops=2772)"
"          ->  Nested Loop  (cost=0.86..20.85 rows=1 width=4) (actual time=0.013..0.023 rows=1 loops=2772)"
"                ->  Index Scan using text_message_patient_id_idx on public.text_message  (cost=0.43..3.62 rows=7 width=8) (actual time=0.003..0.006 rows=6 loops=2772)"
"                      Output: text_message.is_unread, text_message.id, text_message.study_id, text_message.patient_id, text_message.text_message_id, text_message.user_id"
"                      Index Cond: (text_message.patient_id = patient.id)"
"                ->  Index Scan using twilio_text_message_pkey on public.twilio_text_message  (cost=0.43..2.45 rows=1 width=4) (actual time=0.003..0.003 rows=0 loops=15319)"
"                      Output: twilio_text_message.sid, twilio_text_message.date_created, twilio_text_message.date_updated, twilio_text_message.date_sent, twilio_text_message.account_sid, twilio_text_message.twilio_to, twilio_text_message.twilio_from, twili (...)"
"                      Index Cond: (twilio_text_message.id = text_message.text_message_id)"
"                      Filter: (((twilio_text_message.date_created > COALESCE(adt."time", '1970-01-01 00:00:00'::timestamp without time zone)) IS TRUE) AND ((twilio_text_message.direction)::text = 'inbound'::text))"