Not exact matches
A more detailed breakdown of the loan
data on Monday
showed sharp
pick - ups in demand for credit from both households and companies, auguring well for consumption and investment.
September
data so far has
shown imports and bank lending grew more than expected, while exports
picked up.
Inflation
data released in mid-January
showed that core CPI (consumer price index) in the U.S. increased 1.8 percent in the 12 months through December,
picking up from 1.7 percent in November.
Available
data for the June quarter probably don't change the picture a great deal,
showing some small increases in GDP in continental Europe and a somewhat stronger
pick - up in the UK.
In other economic
data out on Monday, ANZ jobs ads
showed employer demand for more staff is finally
picking up pace.
However, more recent
data show some modest
pick - up in inflation.
US Housing: March housing starts
data showed a
pick up.
Economic
data in the United States have been a little more positive,
showing, among other things, stronger - than - expected GDP growth in the second quarter, improvements in business sentiment, a rise in capital goods orders and a small
pick - up in industrial production in the past couple of months, though the performance of the labour market has so far remained disappointing.
«There's almost a century of
data that
show that almost no one reliably succeeds at stock
picking.»
But subsequent inquiry by doubters
showed that the
data were cherry -
picked only from trees that supported the thesis.
In moneyline sports, such as baseball and hockey, historical
data shows that
picking underdogs is the best way to earn profits when investing in the sports marketplace.
I would love to see some actual
data showing that «young
picks in Habland stall or regress» more than any other team.
In addition to the features
shown in this post, subscribers also have access to our entire suite of live odds, public betting
data, and our Best Bet
picks.
Seems you're a simpleton who makes sweeping judgements based on superficial info, who also cherry
picks his
data to use in argument (conveniently left out our spurs / anderlecht embarrassments, our Monaco
show, getting put out the carling cup at home vs saints...... you know, the truth).
In addition to the features
shown in this post, subscribers also have access to our entire suite of live odds and public betting
data, as well as our seven Week 1 College Football Best Bets, including
picks on:
A city study of GPS
data shows that 97.5 percent of the more than 13,230 yellow cabs
pick up their fares in Manhattan or at the two city airports.
According to the OECD, the UK rates as follows in 2005 (only
data I have access to), I've included data from the US since you've used them in your post and Germany and France as a comparison with two randomly picked (read: I saw them in the list) European countries: Death from heart disease per 100,000 population (23 listed): 13th 49.3; France 2nd 22.5, Germany 12th 48.3; US 7th 40.3; Japan 1st 18.4; Hungary 23rd 71.7 Death from cancer per 100,000 population (24 listed): 18th 175.6; France 15th 166.2; Germany 11th 161.2; US 10th 159.8; Mexico 1st 96.8; Hungary 24th 242.0 Data from the ONS for 2005 (most recent report I could find) shows: Death from cancer per 100,000 population (19 listed): 8th 216.9; Germany 4th 215.3; Cyprus 1st 149.6; Hungary 19th 330.8 Death from heart disease per 100,000 population (19 listed): 10th 141.5; Germany 8th 150.4; Portugal 1st 71.9; Lithuania 19th 4
data I have access to), I've included
data from the US since you've used them in your post and Germany and France as a comparison with two randomly picked (read: I saw them in the list) European countries: Death from heart disease per 100,000 population (23 listed): 13th 49.3; France 2nd 22.5, Germany 12th 48.3; US 7th 40.3; Japan 1st 18.4; Hungary 23rd 71.7 Death from cancer per 100,000 population (24 listed): 18th 175.6; France 15th 166.2; Germany 11th 161.2; US 10th 159.8; Mexico 1st 96.8; Hungary 24th 242.0 Data from the ONS for 2005 (most recent report I could find) shows: Death from cancer per 100,000 population (19 listed): 8th 216.9; Germany 4th 215.3; Cyprus 1st 149.6; Hungary 19th 330.8 Death from heart disease per 100,000 population (19 listed): 10th 141.5; Germany 8th 150.4; Portugal 1st 71.9; Lithuania 19th 4
data from the US since you've used them in your post and Germany and France as a comparison with two randomly
picked (read: I saw them in the list) European countries: Death from heart disease per 100,000 population (23 listed): 13th 49.3; France 2nd 22.5, Germany 12th 48.3; US 7th 40.3; Japan 1st 18.4; Hungary 23rd 71.7 Death from cancer per 100,000 population (24 listed): 18th 175.6; France 15th 166.2; Germany 11th 161.2; US 10th 159.8; Mexico 1st 96.8; Hungary 24th 242.0
Data from the ONS for 2005 (most recent report I could find) shows: Death from cancer per 100,000 population (19 listed): 8th 216.9; Germany 4th 215.3; Cyprus 1st 149.6; Hungary 19th 330.8 Death from heart disease per 100,000 population (19 listed): 10th 141.5; Germany 8th 150.4; Portugal 1st 71.9; Lithuania 19th 4
Data from the ONS for 2005 (most recent report I could find)
shows: Death from cancer per 100,000 population (19 listed): 8th 216.9; Germany 4th 215.3; Cyprus 1st 149.6; Hungary 19th 330.8 Death from heart disease per 100,000 population (19 listed): 10th 141.5; Germany 8th 150.4; Portugal 1st 71.9; Lithuania 19th 490.6
The United States remains the world's largest investor in research and development, but China is
picking up speed so rapidly that it is estimated to surpass the United States in this area by about 2019,
data compiled by the Organization for Economic Cooperation and Development
shows.
Contributors to climate change debate websites and written submissions to us claimed that these e-mails
showed a deliberate and systematic attempt by leading climate scientists to manipulate climate
data, arbitrarily adjusting and «cherry -
picking»
data that supported their global warming claims and deleting adverse
data that questioned their theories.
The same applies to the saturated - fat - is - bad - for - your - heart myth, which is based on cherry -
picked data... Since the days of Lewis Dahl, a long list of studies has failed to prove ANY benefits of a low - salt diet, and in fact many tend to
show the opposite.
For example, the national
data for primary schools
shows that 24 % of pupils say «In the past year I have been
picked on or bullied at school».
Portfolio Strategies
Picking a Rate of Return to Use for Long - Term Planning A review of the historical
data shows why long - term investors should look to long - term averages when setting return expectations.
While I don't recommend stock -
picking to anyone — since the
data clearly
show the odds are against you — I do recognize the appeal.
Using an impressive array of
data and studies, Malkiel convincingly
showed that most investors lack consistent skill at timing markets or
picking winning stocks over the long - term.
Even better, the research group's
data shows investors tend to
pick better - performing funds.
Both bills would institute a moratorium that would effectively ban commercial aquarium fishing under the auspices of repopulation, relying on cherry -
picked data instead of
data from the Hawaii Department of Land and Natural Resources, which
shows that the populations of several aquatic species have grown since 1999.
New research from First
Data Corporation also
shows that credit card usage
picked up substantially in December.
The
data actually
shows cooling over the time period he
picked out.
You go on to say «The January 1910
shown is the month with the second largest downward correction, obviously cherry -
picked from the 1,643 months of the
data series.»
The January 1910
shown is the month with the second largest downward correction, obviously cherry -
picked from the 1,643 months of the
data series.
dhogaza, I see you, for one,
picked up my assertion that anyone can cherry -
pick the
data to post what they want to
show.
-- tendency of the * planet to warm — The UAH
data is v5.4, v5.5 limits the recent deviance — «no hidden either warming or cooling jumps» reads awkwardly — «But despite the fact that August 1997 was shamelessly cherry -
picked by David Rose because it gives the lowest warming trend to the present of any point before 2000» — It was
picked to
show 15 years, not the lowest trend.
Contributors to climate change debate websites and written submissions to us claimed that these e-mails
showed a deliberate and systematic attempt by leading climate scientists to manipulate climate
data, arbitrarily adjusting and «cherry -
picking»
data that supported their global warming claims and deleting adverse
data that questioned their theories.
The bottom line: You can't cherry -
pick when you start the temperature measurements, and you can't cherry -
pick the
data sets themselves, even — especially — if they
show what you want.
The argument has always been fundamentally flawed, because as The Escalator
shows, it's based entirely on cherry
picking short - term noise in the
data.
And the only way that anyone can
show any significant increase in temperature is by cherry
picking start and end dates on their graphs and then manipulating the
data.
It relied on one of Santer's own papers that was later
shown to have «cherry
picked»
data in an outrageous manner.
Multiple sources, using the all of the
data available, rightly
show the long term trend is far worse than your dissembling, cherry -
picked case.
The
data showing the cherry
picking only became available in 2014 as part of a belated archiving program in the final year of Gordon Jacoby's life.
Claiming that the sea level rise is only 3.2 mm / yr when up to date
data show the rate is 4 mm / yr and accelerating is considered a cherry
pick and is not a convincing argument.
There's some pretty damning stuff in there, particularly about the «Mike's Nature trick» of chery -
picking data (switching back and forth from one proxy to another) to fit the desired result of
showing a «hockey stick» temperature chart.
McIntyre and McKitrick were able to
show that the Hockey Stick chart was based on cherry
picked use of
data, failed to comply with accepted standards in statistics and signal processing, and ignored compelling evidence for the Medieval Warm Period where historical records demonstrate that it was just as warm, if not warmer, then than the 20th century.
Followed by: «Researchers examining the recently released
data from HadCRU centre's Dr Phil Jones have found that the series
showing warming last century has been based on cherry
picked data, and adjustments made by Dr Jones that have never been subjected to independent peer review or audit.
They invented the IPCC to find the proof, it could not be found so they made it up by distorting old
data, «not
showing their working» or cherry
picking data that suited their»cause».
It's funny when people cherry
pick very short
data spans and then accuse * you * of cherry
picking when you
show the wider bucket that their cherries were
picked from.
Grant Foster
shows the ways these fraudsters are trying to trick unwitting persons with cherry -
picked data and outright lies while at the same time, he
shows the reader how to look at
data the correct way.
In cherry
picking, you only
show the
data that confirms what you are trying to prove, whereas in lemon dropping, you drop the
data that contradicts it, leaving both the «good» cherry
data and the noisy «apple»
data that neither confirms nor contradicts it.
Ian, that UAH
data shows the standard warming trend if you
pick a 20 year window or more.
So if we can arbitrarily
pick a starting point to
show «
data» I would like to see them
show everything based on a start point around 1925.
-- Overstating alarming scenarios — Understating uncertainty — Suppressing legitimate minority viewpoints — Suppressing legitimate criticism of their work — Subverting the peer - review process — Not reporting known adverse
data in their publications — Cherry -
picking data to
show a desired result — Not taking steps to counter media and political exaggerations based on but unsupported by their work — Using new and poorly characterized statistical methods without which their results would change substantially