text:
Q: What's the difference between a random and unknown variable? A friend and I were discussing the difference between a random and unknown variable in probability and statistics. The example I used was the shell game, where a marble is placed under one of three shells and the shells are swapped so that we don't know where the marble is.
The question was what is the probability the marble is underneath the leftmost shell?
I thought the probability was either 1 or 0 but unknown. It can't be 1/3 because then there would be a 1/27 chance every shell has a marble underneath it, or a 8/27 chance there is no marble. Obviously, this doesn't make since in this context.
A different question would be suppose you choose a shell at random, what's the probability that it has the marble?
I thought this would be 1/3 because average probability across all shells is (0+0+1)/3 = 1/3
Is my understanding correct? And, more importantly, why is it important to understand the difference between a random and an unknown variable in probability and statistics?

A: The frequentist interpretation of this situation would be: if you and your friend did this many times --- you turn your back and she swaps the shells randomly and you pick, then she turns her back and you swap the shells randomly and she picks, no one breaks the rules, and you tally the outcomes over time --- then
$$
\lim_{N \rightarrow \infty} \dfrac{1}{N} \sum_{i=1}^N \mathbb{I} \{ \text{The shell with the marble was picked in trial $i$}\} = \dfrac{1}{3}.
$$
Because we keep using the word "random", it imposes some order on the world.
But if you were only doing this experiment once and there were no guarantee of "random", impartial assignment of the marble, there would be no reason to assign a particular probability mass function to the experiment. Instead, it would make sense for you to have many possible probability mass functions, that are all consistent with the experiment. Perhaps you know your friend hurt her right arm and is right handed, so is more likely to put the marble under the shell closest to her right hand rather than stretch out to the leftmost shell.  This is usually called a multiple priors model, or sometimes "ambiguity", or something the difference between risk and uncertainty.
The best example is the Ellsberg paradox. Daniel Ellsberg showed that when you give people objective odds over something, they behave differently from when you refuse to do so. In his experiments, he would give people bets like, "In gamble A, the urn has 10 red balls and 10 blue balls; if you draw a red ball I will give you ten dollars. In gamble B, the urn has 20 red balls and 10 blue balls; if you draw a red ball I will give you 3 dollars.  Which gamble would you prefer?" In that formulation, people would behave in ways consistent with standard models of decision under uncertainty, like frequentists. However, when he gave people bets like, "In gamble A, the urn has 10 red balls and 10 blue balls; if you draw a red ball I will give you ten dollars. In gamble B, the urn has twenty balls, but I will not tell you the color; if you draw a red ball I will give you 7 dollars.  Which gamble would you prefer?" the results changed very much, as people hated the ambiguity of the odds on Gamble B.  It seemed different from the objective risk of the first set of gambles.
So the answer might be: If you are a frequentist, the marble is under every shell with probability 1/3, but if you have not taken a college-level statistics class, any prior about which shell contains the ball is reasonable.

A: No.  You cannot assign a positive probability to the outcomes where there is one marble under each shell, or no marbles under any shell, because those are impossible.  The probability is $1/3$ under an assumption that the shuffling is at random.  This is the same as the second case, except the randomness in the second case comes from your choice of shell.  But in both cases, there is an assumption of randomness, which is why a probability can be assigned.
An example in which we draw a distinction between a random variable, and an unknown variable, is the following.  Suppose I have a bag containing a large number of coins of various denominations.  I want to know the total weight of the coins to the nearest gram.  Of course, this is not hard to determine; if we have a precise enough scale for the amount of weight, we can simply weigh the coins.  We can even take this result and divide by the number of coins in the bag to get an average weight of the coins in that bag.
But now, say we want to know the total weight of all coins in the world, or maybe the average weight of all coins in the world.  From a mathematical standpoint, there is no difference in the computation; it is simply a difference in the choice of population (the bag, versus the whole world).  If you could gather all of the coinage and weigh it all, and do it at a single point in time, you could precisely ascertain this value.  There is no randomness to it, and its value will not change unless a new coin is made, or an existing coin is defaced or destroyed.  But for many reasons, it is impractical to actually perform this measurement, unlike the earlier example with only a bag of coins.  So this quantity is an unknown variable.  In statistics, we call fixed but unknown quantities parameters, and we are often interested in the estimation of such parameters.
To this end, our intuition suggests that if we sample a subset of coins from the world's population of coins, and measure those, we might get a reasonably close approximation of the true average weight of the world's coins.  But here is where some additional consideration is required, for not all of the world's coins are made in the same way; some countries make heavier coins than others, for instance.  So when we take such a sample, we must ensure that it is somehow representative of the whole, in order for our estimation to be successful.  Another consideration is that we must take enough coins in our sample so that we are not led astray by a single unusually light or heavy coin.
The main remedy in both cases is what is called randomized sampling.  That is to say, we do not attempt to systematically or selectively take certain coins for weighing than others.  By being naive to any particular choice, we hope to achieve a representative sample.  This introduction of randomness occurs in the sampling process itself, and is not an intrinsic property of the coins, each of which has a fixed weight.  So this is why if, for instance, you take a random sample and use it to estimate the average weight of the world's coins, your estimate may be different than if I performed the same experiment, because from one experiment to another, the actual coins we weighed are not the same.
What this tells us is that the observed weight from experiment to experiment is random because the sampling is random, and that this can be regarded as a random variable.  Even though it aims to approximate the unknown variable (the parameter), each time we do the experiment, the result changes.  We can then assign probabilities to outcomes such as the average coin weight of the sample being less than 5 grams, or the average coin weight of the sample being between 3.5 and 3.7 grams.  But it is not a statement about the true weight we are making here; because that isn't random.  We are talking about the sampled weight which is random.

In summary, it is important to understand the source of randomness when considering notions of probability, random variables, parameters, estimation, experiments, and inference.  We do not ascribe randomness to quantities that are fixed, even though though they may be unknown or unknowable.


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Kristof on Our Broken Politics
by tonygreco November 9, 2014 1 Comment Media
It's a long flight back from Tel Aviv, so I decided to use some of my time to react to Nicholas Kristof's most recent NY Times column, since it nicely illustrates some of what I was saying in my last post. The column is entitled "America's Broken Politics." Kristof is disturbed at the cynicism about politics and politicians that seems to have become so widespread in this country in reaction to dysfunction in Washington.
As an op ed columnist, Kristof is fully expected to express his opinions, so he isn't compelled to observe the same canons of objectivity that guide news reporters. And yet he is not free of the ethos of objectivity. While he drops a number of hints as to what has broken our political system, he never gets around to putting it all together into a clear statement of what he thinks has caused the mess. I think it's because he doesn't want to sound partisan, and outright partisanship is something even an opinion columnist generally avoids.
So, for example, he says it would be a good thing for President Obama to schmooze more with Republican Congressional leaders, even though he's skeptical it would accomplish anything. After all, he points out, polls show that significant portions of the Republican base think Obama was not born in this country and about one-fifth think he could be the anti-Christ. (He doesn't explicitly make the connection, but his point, presumably, is that Republican leaders can hardly be expected to be reasonable with Obama when so much of their base is gripped by anti-Obama paranoia.) He cites the work of political scientists Poole, McCarty and Rosenthal demonstrating that our political polarization is asymmetric: it's due mostly to the Republican Party moving far to the right. He mentions the Republican determination to block Obama from the day he took office, including Republican governors' preventing their own citizens from accessing Medicaid expansion. "I see that as obstructionism," he tells us.
In short, all of Kristof's observations point to a simple, single explanation of our broken politics: a radicalized Republican Party that routinely scorns the norms that have traditionally kept political conflict manageable in the US. It really is that simple, but Kristof can't quite say it out loud; he just drops hints. Kristof is undoubtedly a liberal Democrat. He enjoys the security and prestige of a perch at the Times. If even he is that inhibited, it should hardly be surprising that our media more generally fail to deal realistically with Republican radicalism.
Michael Teitelman November 9, 2014 at 10:13 pm
Our "broken politics" is the tip of the iceberg
of what's broken in our society.

redpajama_set_name: RedPajamaCommonCrawl


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Uttar Pradesh polls: Amit Shah To Hold Brainstorming Session For Coming Assembly Polls with CM Yogi Adityanath, party leaders on Friday
NEW DELHI: Union Home Minister Amit Shah will be on a two-day visit to Uttar Pradesh beginning Friday during which he will discuss the strategy for the upcoming assembly elections in the state with Chief Minister Yogi Adityanath and state Bharatiya Janata Party (BJP) leaders.
The Home Minister will tour eastern Uttar Pradesh, starting from Prime Minister Narendra Modi's Lok Sabha constituency Varanasi. During his two-day trip to Uttar Pradesh, Amit Shah will also participate in the Akhil Bharatiya Rajbhasha Sammelan in Varanasi.Apart from Varanasi, the Union Home Minister will visit Azamgarh, Gorakhpur and Basti where will inaugurate Sansad Khel Mahakumbh at Amar Shaheed Satyavaan Singh Sports Stadium on November 13.
According to the party sources, Amit Shah will hold a brainstorming session with UP Chief Minister Yogi Adityanath, state election in-charge Union Minister Dharmendra Pradhan, Sunil Bansal and Swatantra Dev Singh in Varanasi on Friday.
BJP Kashi region unit president, Mahesh Chand Srivastava said that the party will host a meet of 650 leaders and office-bearers at the Pandit Deen Dayal Upadhyaya Trade Facilitation Centre (DDU TFC) where the Union Home Minister, state in-charge Dharmendra Pradhan and others will take part in the proposed meeting.
"Apart from 403 Assembly constituency in-charges, the in-charges of 98 district units will also take part in the meeting," Mahesh said. Amit Shah will also lay the foundation of a university at Azamgarh, the parliamentary constituency of Samajwadi Party chief Akhilesh Yadav, on Saturday. CM Yogi Adityanath will reach Varanasi on Friday evening and leave for Azamgarh the next morning after attending the Akhil Bharatiya Rajbhasha Sammelan, which will be inaugurated by Shah at the DDU TFC on Saturday.
Chief Minister Yogi Adityanath is seeking re-election in the politically significant state ahead of the 2024 General Elections. Top BJP leaders, including PM and Amit Shah have already backed Yogi Adityanath as BJP's CM candidate for next year's assembly elections.
Shah has also exuded confidence that his party will win comfortably more than 300-seats in the assembly polls and Yogi Adityanath will return to power. It may be noted that the BJP secured a landslide victory by winning 312 seats and 39.67 per cent vote share in the elections for the 403-member assembly in 2017.
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Yellow alert in 9 districts; Landslides hit Kottayam, Pathanamthitta, Kollam


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Hard Rock Radio Live
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QUIET RIOT To Release 'Hollywood Cowboys' Album In November
{$inline_image}
Veteran rockers QUIET RIOT will release their new studio album, "Hollywood Cowboys", on November 8 via Frontiers Music Srl.
The track listing for the follow-up to 2017's "Road Rage" is as follows:
01. Don't Call It Love
02. In The Blood
03. Heartbreak City
04. The Devil That You Know
05. Change Or Die
06. Roll On
07. Insanity
08. Hellbender
09. Wild Horses
10. Holding On
11. Last Outcast
12. Arrows And Angels
The cover artwork can be found below.
QUIET RIOT drummer Frankie Banali told Canada's The Metal Voice about the musical direction of "Hollywood Cowboys": "From my perspective, it is the most varied QUIET RIOT record that I have ever worked on. So I think it's gonna cover a lot of bases, I think it's going to surprise a lot of people, and I hope it'll be a pleasant surprise. But, again, it's the most varied record that I think QUIET RIOT has ever done.
"My consideration always is — not because I have to, but because of the way I am — my first consideration when I'm writing something, and when I write together with my writing partner Neil Citron, is, 'Would [late QUIET RIOT singer] Kevin DuBrow like this?'" he continued. "And the greatest thing about Kevin is he was so open-minded and he had such a broad taste in music that there were very few things that he didn't like. For instance, on the [2006] 'Rehab' record, some of the things that Neil and I wrote Kevin really liked but it was not in his comfort zone, which is why we went out and had some of the lyrics co-written by Glenn Hughes. But, again, a lot of credit goes to Kevin, whereas I could play him a song and he would love it, and he would say, 'I don't know what to do with this.' But that did not make it impossible for it to be on the record. So that continues with the future QUIET RIOT studio release."
DuBrow died in November 2007 of an accidental cocaine overdose. He was 52 years old.
Banali resurrected QUIET RIOT in 2010, three years after DuBrow's death.
QUIET RIOT initially featured the late guitar legend Randy Rhoads and went through some early lineup shifts before securing the musicians that recorded the band's multi-platinum-selling 1983 album "Metal Health".
Bassist Chuck Wright has been a part of QUIET RIOT, on and off, since 1982, having initially been involved in the "Metal Health" recordings (he played bass on the tracks "Metal Health" and "Don't Wanna Let You Go"). Guitarist Alex Grossi was in the last version of the band, from 2004 through 2007, before Kevin passed away, and was asked by Banali to return in 2010.
QUIET RIOT went through two vocalists — Mark Huff and Scott Vokoun — before settling on Jizzy Pearl in 2013. Pearl announced his exit from QUIET RIOT in October 2016 and was briefly replaced by Seann Nichols, who played only five shows with the group before the March 2017 arrival of "American Idol" finalist Durbin.
QUIET RIOT's performance at last year's Frontiers Rock Festival was released in January on CD/DVD and Blu-ray under the title "One Night In Milan".
Source: HRRL News Feed via Blabbermouth.net
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Q: A minimum False Discovery Rate of 0.8 when doing multiple hypothesis testing on Logistic Regression Coefficient p-values? I currently have 8,000 predictor variables and a binary indicator response variable. I then did a logistic regression on each of the predictor variables, i.e., response regressed on predictor variable 1, response regressed on predictor variable 2, etc.
This gave me 8000 p-values associated with each predictor's estimated slope $\beta$ coefficient.
I then tried to control the FDR using Benjamini-Hochberg, but realized that unless I set my FDR to be 0.8, I could declare none of them significant. What is the interpretation of why this is so? Thanks.

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Cocaine addiction is not different than any other drug addictions. It begins with a problem, discomfort, or some form of emotional or physical pain that a person is experiencing. Here is a person who, like most people in our society, is basically good. However, they find their problem to difficult to deal with and turn to drugs as a solution. This could include problems such as difficulty "fitting in" as a child or teenager, anxiety due to peer pressure, identity problems, or divorce as an adult. It could also include physical discomfort such as a broken arm or a bad back.
The person experiencing the discomfort has a real problem. They feel this problem is a major situation that persists and can see no immediate resolution or relief from it. We have all experienced this in our lives to a greater or lesser degree. The difference between those who develop a cocaine addiction problem and those who do not is dependent on the individual and their environment. Whether or not, at the time of this traumatic experience, the person is subjected to pro-drug or alcohol influences via some sort of significant peer pressure when the problem is manifesting itself is a major contributor.
Cocaine works on the brain's pleasure center. In the user's brain, cocaine changes the balance of chemicals that regulate their mood. The "high" one experiences while on cocaine often only lasts twenty minutes or so. Those who inject the drug introduce it into their bloodstream immediately. The effects of cocaine from injection are practically instantaneous. Users who smoke the drug will experience its effects within five seconds. This is because the drug makes its way into their bloodstream though their lungs. From there it then travels to their heart and brain. Lastly, when cocaine is snorted it enters the user's bloodstream through the mucus membranes in their nose before making its way throughout the rest of their body.
For the person in our story, the painkilling effects of cocaine become a solution to their discomfort because they experience relief from the negative feeling associated with the problem. Cocaine users often find that after just one use they are craving the drug and thinking about when they will use it again. As soon as they experience relief from the discomfort, they inadvertently attach value to cocaine, because it helped them feel better. Even though the relief is only temporary, it is adopted as a solution to the problem. This assigned value to cocaine for its problem solving ability is the main reason a person uses cocaine a second, third, or more times. At this point, it is just a matter of time before they form a cocaine addiction and lose the ability to control their drug use.
Cocaine addiction can occur very quickly and may end up being very difficult to break. Animal studies have shown that animals will work very hard (press a bar over 10,000 times) for a single injection of cocaine, choose cocaine over food and water, and take cocaine even when this behavior is punished. Animals must have their access to cocaine limited in order not to prevent ingestion of a toxic or even lethal dose. People addicted to cocaine behave similarly. They will go to great lengths to get cocaine and continue to take it even when it hurts their school or job performance and their relationships with loved ones.


text:
Npr Hates War, Loves Rem
An Unhappy Shareholder, ESG, and What a Company Is For
By Tim Graham
About Tim Graham
Will Hermes reviewed the new REM album on last night's All Things Considered. After he played part of a song in which Stipe sings, "I wanna kiss the astronauts when they salute to me," Hermes said, "Heck, I wanted to kiss the astronauts, too. Who didn't? They embodied a moment when our country's greatness was measured less by our ability to wage war and more by our ability to dream."
Tim Graham — Tim Graham is Director of Media Analysis at the Media Research Center, where he began in 1989, and has served there with the exception of 2001 and 2002, when served ...


text:
Q: Newtonsoft JSON.NET deserializing to a typed object I'd like to use JSon.net to deserialize a flickr.com photoset (see http://www.flickr.com/services/api/flickr.photosets.getPhotos.html )
an example of the JSON I get is
    {
photoset: {
id: "72154517991528243",
primary: "6346929005",
owner: "9999999@N00",
ownername: "myname",
photo: [
{
id: "6340104934",
secret: "18ab51078a",
server: "6106",
farm: 7,
title: "Day #1/30 - homemade kanelbullar",
isprimary: "0"

  }
.... lots of these photos...
],
page: 1,
per_page: 500,
perpage: 500,
pages: 1,
total: "18"
},
stat: "ok"
}

the classes I am using are these:
class FlickrSet
    {

    Photoset photoset {get;set;}
    string stat{get;set;}
}
class Photoset
{

    public string id { get; set; }
    public string primary { get; set; }
    public string owner { get; set; }
    public string ownername { get; set; }
    public List<Photo> photo { get; set; }
    public int page { get; set; }
    public int per_page { get; set; }
    public int perpage { get; set; }
    public int pages { get; set; }
    public string total { get; set; }
}

class Photo
{
    public string id { get; set; }
    public string secret { get; set; }
    public string server { get; set; }
    public int farm { get; set; }
    public string title { get; set; }
    public string isprimary { get; set; }

}

when I use them to deserialize:
    var s=    JsonConvert.DeserializeObject<FlickrSet>(outPut );

s has both members null.
I've tried to match strings and ints and Lists, but I have probably made some errors.
Thanks  everyone!

A: there were two mistakes: the properties on flickrset were not public and the photos are an array not a List<> (don't know why)
 class FlickrSet
    {
    **public** Photoset photoset {get;set;}
    **public** string stat{get;set;}
}
class Photoset
{

    public string id { get; set; }
    public string primary { get; set; }
    public string owner { get; set; }
    public string ownername { get; set; }
    public **Photo[]** photo { get; set; }
    public int page { get; set; }
    public int per_page { get; set; }
    public int perpage { get; set; }
    public int pages { get; set; }
    public string total { get; set; }
}

class Photo
{
    public string id { get; set; }
    public string secret { get; set; }
    public string server { get; set; }
    public int farm { get; set; }
    public string title { get; set; }
    public string isprimary { get; set; }

}

A: System.Web.Script.Serialization.JavaScriptSerializer js = new system.Web.Script.Serialization.JavaScriptSerializer();
return js.Deserialize<FlickrSet>(value);


text:
Charlesworth Carnival comes to town
Villagers gave it some welly at Charlesworth Carnival. Crowds came out to enjoy the annual festivities on Charlesworth recreation ground which kicked off with a parade led by Arnfield Brass Band followed by the crowning of carnival queen Laura Noone.
Villagers gave it some welly at Charlesworth Carnival.
Crowds came out to enjoy the annual festivities on Charlesworth recreation ground which kicked off with a parade led by Arnfield Brass Band followed by the crowning of carnival queen Laura Noone.
Entertainment included a fell race, tug of war contest, a penalty shoot out, a scarecrow trail, corn dolly making and a spot of welly throwing.
High Peak MP Andrew Bingham was among the visitors to brave the cloudy skies on Saturday afternoon.
He said: "I really enjoyed the carnival and it was great to see so many people enjoying themselves, despite the threat of rain.
"I had a go at welly throwing and the penalty shoot out which were both great fun.
"It's fantastic that the local community keeps supporting the carnival and I hope they raised a lot of money for next year."
The carnival is part of the new Charlesworth Festival Weekend which also includes go kart racing and the North East Cheshire Drag Hunt.
Another tradition takes place from Saturday with the Charlesworth and Broadbottom well dressing.
The well will be dressed until July 24 in the grounds of the Church of the Immaculate Conception, Long Lane, Charlesworth.
Broadbottom


text:
Compassion Mediates Poor Sleep Quality and Mental Health Outcomes | mijn-bsl Skip to main content
06-02-2021 | ORIGINAL PAPER
Compassion Mediates Poor Sleep Quality and Mental Health Outcomes
Auteurs: Jeffrey J. Kim, Melissa Oldham, Antonio T. Fernando, James N. Kirby
Gepubliceerd in: Mindfulness | Uitgave 5/2021
Poor sleep quality has been associated with suboptimal physical and mental health outcomes. Self-compassion has been shown to protect against the effects of poor sleep quality and promote positive mental health benefits. However, the attenuating role of fears of compassion on these relationships is less well known. Herein we examine the mediating role of self-compassion and fears of compassion on the relationship between poor sleep quality and mental health and wellbeing outcomes.
Two independent community and student samples within either a university setting or online research setting participated in the research. This was a 2-sample cross-sectional survey design (N = 196, sample 1; N = 151, sample 2) which was conducted March–July 2019. In both samples, we examined self-compassion and fears of compassion as focal mediators of poor sleep quality and mental health outcomes.
Mediation analyses with non-parametric bootstrapping identified that self-compassion partially mediated the relationship between poor sleep quality and mental health outcomes (p < .001, R2 = .20). Fears of self-compassion partially mediated the relationship between poor sleep quality and mental health wellbeing (p < .001, R2 = .09) and fully mediated the relationship between poor sleep quality and psychological distress (p < .001, R2 = .09).
We provide empirical evidence for how both self-compassion and fears of compassion can mediate the relationship between poor sleep quality, psychological distress, and mental health wellbeing. Our results provide important suggestions for future work in therapy, clinical studies of sleep, and the utility of the fears of compassion scale as a key psychometric instrument for use within the field.
vorige artikel The Effectiveness of a Teacher-Delivered Mindfulness-Based Curriculum on Adolescent Social-Emotional and Executive Functioning
volgende artikel Self-Compassion, Internalized Weight Stigma, Psychological Well-Being, and Eating Behaviors in Women
go back to reference Baethge, A., Vahle-Hinz, T., & Rigotti, T. (2019). Coworker support and its relationship to allostasis during a workday: A diary study on trajectories of heart rate variability during work. Journal of Applied Psychology, 105(5), 506–526. https://doi.org/10.1037/apl0000445. CrossRef Baethge, A., Vahle-Hinz, T., & Rigotti, T. (2019). Coworker support and its relationship to allostasis during a workday: A diary study on trajectories of heart rate variability during work. Journal of Applied Psychology, 105(5), 506–526. https://doi.org/10.1037/apl0000445. CrossRef
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Jeffrey J. Kim
Melissa Oldham
Antonio T. Fernando
James N. Kirby
Mindfulness / Uitgave 5/2021
Effectiveness of a Mindfulness-Based Programme on Perceived Stress, Psychopathological Symptomatology and Burnout in Medical Students
The Relationship Between Present-Centered Awareness and Attention, Burnout, and Compassion Fatigue in Oncology Health Professionals
Dependent Arising and Interdependence
Mindfulness-Based Eating Intervention in Children: Effects on Food Intake and Food-Related Behaviour During a Mid-morning Snack
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MINDFULNESS IN PRACTICE
Time and Timelessness


Local girl Antonia's bumper sticker puts brakes on bad-mannered drivers!
A young woman from Antrim is putting the brakes on bad-mannered motorists who unnerve new drivers.
Antonia Cunningham, 19, got her licence last year, but says she is often intimidated by impatient road users.
So she created a bumper sticker with Fixers, the UK-wide charity that gives young people a voice, to urge motorists to have more consideration for new R-plate drivers.
Leading a team of her friends who worked with Fixers, Antonia is proud of their bumper sticker which uses the slogan 'Respect R Drivers'.
"I think it might help motorists to be more understanding on the road," said Antonia.
Antonia and her team now plan to share the stickers with driving instructors and youth centres.
"Hopefully, the campaign will make people think twice on the road and respect motorists of all abilities," she added.
Fixers works with young people aged 16-25 across the UK by providing them with resources to help them campaign on issues they feel strongly about. The charity has helped more than 18,000 youngsters across the UK to have a voice in their community on issues such as cyber-bullying, self-harm, suicide or transphobia.


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New York City Game Watching Party: SEC Championship
The Dawgs are back in action and we can't think of a better way to watch than surrounded by fellow UGA alumni, friends and fans! Put on your spirited red and black and head to the New York City chapter's game watching party to watch the Bulldogs play. These events are free, fun and attended by passionate graduates and fans of the University of Georgia. Whether you're a graduate, parent or friend – all are welcome!
Join the NYC Dawgs at 2 locations for game watching parties this season! Parties will begin one hour before kick-off and both game watching party locations will be providing food and drink specials for the 2018 season, including $20 Bud Light Pitchers, $30 Budweiser Buckets, $5 Rose Cider, $5 Sweetwater 420 drafts, $6 House Wine, and $7 Well Drinks. More details about both locations can be found on the NYC Dawgs Facebook page.
247 W 30th St, New York, New York
This location can fill up quickly, so be sure to arrive early! All tables have been reserved for this game. Reservations for tables are open on a first-come-first-served basis when each game time is announced and can be reserved by emailing godawgs@americanwhiskeynyc.com.
American Whiskey has an incredible chef who reigns from the South and will be cooking up delicious southern fare – including new dishes just for game days.
Chapter contact: Robbie York, godawgs@americanwhiskeynyc.com
McHale's Bar & Grill
251 W 51st St, New York, New York
McHale's is a family-friendly game watching party location. In addition to their full menu, McHales will also serve a selection of UGA-exclusive southern dishes that will rotate throughout the season.
Chapter contact: Kyle Finegan, kyle.finegan@gmail.com
Alumni Connect, Game Watching, NYC, Social
https://www.facebook.com/nycdawgs/
Robbie York, godawgs@americanwhiskeynyc.com
New York City, NY United States + Google Map
http://www.americanwhiskeynyc.com/
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Released March 25, 1956 [filmed in 1954]
"The tremendous electrical voltage Professor Bradshaw had given the Butcher had increased his cellular structure to the point that he was no longer a man..."
Despite a pretty good cast with Lon Chaney Jr., Casey Adams (aka Max Showalter) and Marian Carr (listed as Marion Carr in the screen credits) and even Joe Flynn (who gets no screen credit at all), Indestructible Man suffers from a lot of low budget movie problems. The most obvious is the voice-over narration that tries to keep the story straight and moving forward but intrudes far more often than needed.
Even as simple as this monster-on-the-loose story is, narration is important because our star Chaney only has one scene with speaking parts (early on in Indestructible Man 287,000 volts have "burned out his vocal chords"), and afterward the resurrected Lon is a mute assassin lumbering from one place to another looking for his former criminal pals who set him up to be executed. The problem with Chaney Jr., as a "silent star" is that he now has no involvement in the movie's dialogue, and this is a film that uses talking, cars speeding and guns to advance the tale, and Chaney has none of these. Since somebody has got to explain what the 'Butcher's' motivations are and why he is showing up at various places around the city, the task falls on Police Lt. Dick Chasen (Showalter) who is piecing together the tale for us out loud in the narration.
Made super-strong and impervious to bullets by his revival from death at the laboratory of "distinguished biochemist" Professor Bradshaw (Robert Shayne), Lon as 'Butcher' Benton shows off his enhanced science-gone-mad abilities while moving south from San Francisco to Los Angeles on a mission to find his ex-compatriots and then to retrieve hidden loot in a storm tunnel under the streets. He's extremely rude, can lift cars, survive gunfire, and only when the police show up with a bazooka and a flame-thrower does any real impact against him get made, causing 'the Butcher' to flee to an electrical power-substation, which turns out to be an ironic mistake.
In many ways this film ca be seen as a semi-remake of Man-Made Monster (which also starred Chaney Jr.) but instead of a straight-up horror film about accidentally reviving the wrong person from the dead, Indestructible Man is actually an odd little police procedural. On top of that is a side-trip into romance between burlesque showgirl Eva Martin (Carr) and the inquisitive Dick Chasen (Max) who starts off the film telling us "I was dictating the wrap-up on the Butcher Benton package. I'm Lt Dick Chasen, this hasn't been a routine case..." With the 'Butcher' executed at San Quentin prison and the case officially closed, Chasen uses his off-hours to continue private research, and right away that means investigating Eva Martin, the 'Butcher's' girlfriend (who seems to have barely known her boyfriend, completely unaware of his criminal activities). In a typical film featuring a showgirl girlfriend, that'd mean we would switch to a stage-show scene to prove the girl in question is a performer. But Indestructible Man man can't afford this and we have burlesque outfits to wear in and out of a dressing room with "Frankie and Johnnie" blasting away in the background indicating a burlesque theater is out there somewhere.
Another low budget trademark within Indestructible Man is the padded footage of our star Chaney staring into the camera and grimacing in a couple of long takes that are at times inscrutable as they have nothing to do with a scene and come across as weird selfies randomly inserted (this is a case where the omnipresent Dick Chasen providing some narration would have been helpful). In a different scene the 'Butcher' confronts one of his ex-pals, but it appears to have been shot piece-meal at different locales such that while we're looking at an oncoming Chaney Jr., bent upon murder, when we see the hapless victim firing off his pistol he appears to be in a totally different location altogether.
Between the burden of the anemic-budget filmmaking (which yields unintentional laughs probably in direct relation to the audiences ability to keep engaged with the film at all) and the over-bearing narration (more than once I thought "you're already showing us, don't tell us, too!" An example being the narrator introducing new characters by telling us "two men are sitting in a diner," and sure enough on the screen are two men sitting in a diner...) All the same, the tale unexpectedly springs to life and has some stretches of enterprising, interesting ersatz-noir storytelling, with Marian Carr and Max Showalter filling in the huge gaps left by the non-speaking Chaney Jr., occupied with relentlessly looking for the next person to murder while the showgirl and the cop get more and more personal.
One of the best parts of Indestructible Man are the side-trips into new batches of minor characters. The menagerie of side characters is interesting; petty criminals, carnival barkers, shoe-shine men, along with plenty of actual Los Angeles location footage throughout the story, embellishing the simplicity of the tale with a visual detail belonging to a much better film with a much better budget. Some of the stunt work is very good, too, for example the frightening, violent frenzy when 'the Butcher' corners an ex-friend in a steel-cage elevator. It is like the movie dwells in a childlike sense of how the world works and then suddenly jerks into a nightmare of semi-reality.
The special effects sometimes meet the challenge of Indestructible Man, but otherwise look dated and may very well have looked dated in 1956 when the film first came out. But it is the small details which trip up the story the most: when the 'Butcher' reaches his treasure trunk (that's what it looks like) hidden underground amid some trash, and he wrestles with getting the top off, though the top moves around like it isn't attached at all, Lon then quickly tries to take out all the bundles of cash and uses the large coat he's been wearing as a makeshift bag to carry the money away before the police reach him. Why is he bothering? We know he's incredibly strong, he could have just grabbed the little chest and toted it away without wasting anytime at all. These failings in simple logic mar Indestructible Man the most.
But maybe it doesn't matter. The problem with these sub-budget old films and doing an autopsy on their elements is that it gets hard to pinpoint why amid the failure in presentation they can contain such a charming sense of phantasy and why Lon Chaney Jr., though playing a merciless and one-dimensional killer, still elicits audience sympathy. Is it because we're not just looking at the thinly-sketched out character of "Butcher Benton," but also Lennie Small, Dynamo Dan and Lawrence Talbot, and all the other tragic and misguided characters from Chaney's busy career (197 credits listed at IMDB)?
Without Chaney, Showalter and Carr this movie would be much easier to dismiss as pure junk, but somehow these on screen activities of familiar, effective actors in a story that is also rather familiar (though churned up with disparate genres in a unique way) in the end sets Indestructible Man apart and makes it hard for me, at least, to not find it fascinating.
More Lon Chaney Jr.:
Lon Chaney Jr
Man-Made Monster – 1941
The Mummy's Tomb - 1942
Calling Dr. Death - 1943
Frankenstein Meets the Wolfman - 1943
The Frozen Ghost - 1945
Strange Confession - 1945
Alligator People - 1959
Original Page December 1, 2021


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Home > Compensation and Support Reference Library > Overpayment Management Manual > Ch 7 Recovery and Other Methods of Finalising Debts > 7.13 Bankruptcy > 7.13.3 Debts incurred after bankruptcy
7.13.3.1 — When an overpayment occurs after a person has been declared bankrupt, the new debt does not form a part of any bankruptcy action currently in force. However, recovery of such debts can only be pursued through deductions from a person's pension in relation to amounts which qualify as 'overpayments' for the purposes of paragraph 205(2) (a) [2] VEA. Recovery of such debts should not be pursued via payment notice under section 205A [2] VEA until such time as the debtor has been discharged from bankruptcy. Staff seeking to recover from assets (such as FI accounts) should, check with the Insolvency Trustee Service of Australia (ITSA) first to ensure that the asset is not part of the bankrupt estate.
More ? [3]
7.13.3.2 — In cases where limitations are in place or a payment notice has been issued in order to recover a debt, any debt that occurs after bankruptcy should be recovered after the first debt has been finalised.
7.13.3.3 — Where the date of bankruptcy falls during an overpayment period, the total overpayment must be divided into two parts, i.e. two overpaid periods exist. Two overpayments must be raised, one prior to, and one after, the date of bankruptcy.
Insolvency Trustee Service of Australia (ITSA) website
[4]http://www.itsa.gov.au [5]
More ? (go back) [6]
Source URL (modified on 20/10/2014 - 1:57pm): http://clik.dva.gov.au/compensation-and-support-reference-library/overpayment-management-manual/ch-7-recovery-and-other-methods-finalising-debts/713-bankruptcy/7133-debts-incurred-after-bankruptcy
[2] http://clik.dva.gov.au/service-eligibility-assistant-updates/all-determinations-order-date-signed-oldest-most-recent/determinations-under-vea
[3] http://clik.dva.gov.au/book/export/html/24378#tgt-csref_manual_ftn25
[4] http://www.itsa.gov.au/
[5] http://www.itsa.gov.au
[6] http://clik.dva.gov.au/book/export/html/24378#ref-csref_manual_ftn25


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The Del Mar Consulting Group, Inc.
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About Del Mar
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ROBERT B. PRAG,
Bob, age 58, founded DCG in June 1999. He has spent the past 30 years in senior active roles in various areas of investor relations, strategic planning, mergers & acquisitions, and corporate finance. He is also an active value-added private investor primarily in microcap public companies.
Bob received in 1982 double B.S. degrees with honors from the University of Maryland in finance and economics. In 1990, he received an MBA with honors in finance from The George Washington University.
From 1983 through 1992, Bob was a Senior Vice President with Corporate Investment International ("CII") in Maryland. At CII, Bob concentrated on mergers & acquisitions and business strategies. Bob was a lead dealmaker in the sale of more than 100 privately held companies.
From 1993 through 1998, Bob was the Senior Vice President at a west coast-based financial public relations firm. He directed all efforts in assisting client companies in strategic management planning and capital formation, and during his tenure, client companies completed capital raises of more than $250 million. Bob was responsible for spearheading the investor relations campaigns for a number of specific accounts, including the organization of all institutional road shows.
Bob's name and reputation as a highly competent and ethical professional is very well-known among the nation's leading micro-cap and small cap money managers, hedge funds, analysts, family offices, investment bankers and retail stock brokers.
Bob is active in his local community coaching youth sports. His charitable activities include being the Corporate Sponsor Chair of The Good Guys Marine Fund, a 501 (c) (3) charity that raises funds to provide financial support directly to U.S. Marines wounded in Iraq and Afghanistan in recognition of the their sacrifice and duty to our Country.
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