The Thrill of the Liverpool Senior Cup
The Liverpool Senior Cup stands as a testament to the rich footballing culture in England, offering a platform where local talent can shine and compete at a high level. This prestigious tournament attracts teams from across the region, each eager to claim victory and etch their name in history. With matches updated daily, fans are treated to a continuous stream of exciting football action.
Understanding the Competition
The Liverpool Senior Cup is not just about winning; it's about showcasing skill, teamwork, and passion for the game. Teams from various leagues come together, bringing diverse styles of play that make each match unpredictable and thrilling. The competition is structured to ensure fair play and equal opportunities for all participating teams.
Expert Betting Predictions
For those interested in betting, expert predictions provide valuable insights into potential outcomes. These predictions are based on thorough analysis of team performances, player form, historical data, and other relevant factors. By leveraging this information, bettors can make informed decisions and increase their chances of success.
Daily Updates: Stay Informed
With matches being updated daily, fans can stay on top of every development. Whether it's a last-minute goal or a crucial penalty decision, staying informed ensures you don't miss any part of the action. Daily updates also provide an opportunity to see how expert predictions hold up against real-world results.
Key Features of the Liverpool Senior Cup
- Inclusive Participation: Teams from various levels participate, ensuring a rich mix of talent and experience.
- Exciting Matches: Each game is filled with moments that keep fans on the edge of their seats.
- Daily Updates: Fans receive regular updates on match results and upcoming fixtures.
- Betting Insights: Expert predictions offer guidance for those looking to place bets on matches.
The Importance of Local Football
Local football tournaments like the Liverpool Senior Cup play a crucial role in nurturing young talent and fostering community spirit. They provide players with valuable experience and exposure while allowing fans to support their local heroes. The tournament also serves as a breeding ground for future stars who may one day grace larger stages.
Betting Strategies for Success
- Analyze Team Form: Look at recent performances to gauge current form.
- Evaluate Player Conditions: Consider injuries or suspensions that might affect team dynamics.
- Historical Performance: Review past encounters between teams for patterns or trends.
- Betting Odds Analysis: Compare odds from different bookmakers to find value bets.
Diving Deeper into Match Analysis
Tactical Approaches
Tactics play a significant role in determining match outcomes. Coaches often adjust their strategies based on opponent weaknesses or strengths observed during previous encounters or through detailed analysis. Understanding these tactical nuances can give bettors an edge when predicting match results.
The Role of Key Players
In many cases, individual brilliance can turn the tide in closely contested matches. Identifying key players whose performance could be pivotal provides another layer of insight for betting enthusiasts. These players often have a track record of influencing games through goals or assists.
Making Sense of Live Match Updates
Daily updates not only keep fans engaged but also allow them to react swiftly to changing circumstances within games. Live commentary provides real-time insights into how matches unfold moment by moment—offering context beyond mere scores that enriches understanding and enhances enjoyment for spectators both casual and seasoned alike.
The Impact of Weather Conditions
Weather can significantly influence match outcomes by affecting pitch conditions and player performance levels. For instance, rain might slow down play or cause slipping hazards which could alter tactical decisions made by coaches during games—factors worth considering when making predictions or placing bets based on live updates received throughout tournament progression phases!
Fans' Engagement with Expert Predictions
Fans often rely heavily on expert predictions as they navigate through various options available when deciding where best place their bets each day within such competitive environments like Liverpool Senior Cup tournaments—especially given how dynamic football matches tend towards being unpredictable entities themselves!
Leveraging Social Media Platforms
>
[0]: import numpy as np
[1]: import pandas as pd
[2]: import matplotlib.pyplot as plt
[3]: # read data
[4]: df = pd.read_csv('dataset/2016.csv')
[5]: df = df.iloc[:, :26]
[6]: df.columns = ['ID', 'Name', 'Sex', 'Age', 'Height', 'Weight',
[7]: 'NIM1', 'NIM2', 'NIM3', 'NIM4',
[8]: 'NU1', 'NU2', 'NU3', 'NU4',
[9]: 'NE1', 'NE2', 'NE3', 'NE4',
[10]: ]
[11]: df['ID'] = [int(x) for x in df['ID']]
[12]: df['Age'] = [int(x) for x in df['Age']]
[13]: df['Height'] = [float(x) if str(x) != '' else np.nan for x in df['Height']]
[14]: df['Weight'] = [float(x) if str(x) != '' else np.nan for x in df['Weight']]
[15]: # check data quality
[16]: print(df.isnull().sum())
[17]: print(df.describe())
***** Tag Data *****
ID: N1
description: Reads CSV file into DataFrame with selective column slicing followed
by renaming columns.
start line: 4
end line: 10
dependencies:
- type: Other
name: pandas.read_csv method
start line: -1
end line: -1
context description: This snippet reads data from a CSV file into a pandas DataFrame,
slices out specific columns (up to column index :26), then renames these columns.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 1
advanced coding concepts: 3
interesting for students: 5
self contained: Y
************
## Challenging aspects
### Challenging aspects in above code
The provided code snippet has several layers that contribute to its complexity:
1. **Data Handling**:
- **Reading CSV**: Reading large datasets efficiently without running into memory issues.
- **Column Slicing**: Correctly slicing columns up to index `26` which implies understanding zero-based indexing.
2. **Dynamic Column Renaming**:
- The renaming process assumes exact knowledge about column names post-slicing which requires careful attention.
### Extension
To add more complexity specifically tailored to this logic:
1. **Handling Missing Files**: Introduce error handling mechanisms when files are missing or corrupted.
2. **Dynamic Column Names**: Instead of hardcoding column names after slicing (which assumes fixed structure), dynamically determine column names based on metadata (e.g., headers).
3. **Multiple File Handling**: Extend functionality to process multiple CSV files stored across directories recursively.
4. **Real-Time File Addition**: Handle new files being added during processing.
5. **Conditional Processing Based on Content**: Implement logic where certain rows/columns trigger specific actions (e.g., certain IDs needing special handling).
## Exercise
### Problem Statement
Given the initial code snippet ([SNIPPET]), extend its functionality following these requirements:
1. Write code that reads all CSV files from multiple subdirectories under `dataset/`.
2. Dynamically rename columns based on metadata found either at the beginning of each file or fetched from an external configuration JSON file (`metadata.json`). Assume `metadata.json` contains mappings like:
json
{
"columns": ["ID", "Name", "Sex", "Age", "Height", "Weight", "NIM1", ...]
}
3. Implement robust error handling:
- Skip corrupted files but log errors.
- Skip files missing required columns but log warnings.
4. Process new files added during execution dynamically.
5. If any row has an ID matching entries in an exclusion list (`exclusions.json`), exclude that row entirely.
### Example Structure:
- `dataset/`
- `2016.csv`
- `2017.csv`
- ...
- `metadata.json`
- `exclusions.json`
### Code Implementation:
#### metadata.json:
json
{
"columns": ["ID", "Name", "Sex", "Age", "Height", "Weight",
"NIM1", "NIM2", "NIM3", "NIM4",
"NU1", "NU2", "NU3", "NU4",
"NE1", "NE2", "NE3", "NE4"]
}
#### exclusions.json:
json
{
"exclude_ids": [12345,67890]
}
## Solution
python
import os
import pandas as pd
import json
def load_metadata():
with open('metadata.json') as f:
return json.load(f)['columns']
def load_exclusions():
with open('exclusions.json') as f:
return set(json.load(f)['exclude_ids'])
def process_file(file_path):
try:
# Read file assuming first row contains headers.
df = pd.read_csv(file_path)
# Slice out first n columns based on length defined in metadata.
n_columns = len(load_metadata())
if n_columns > len(df.columns):
raise ValueError(f"File {file_path} does not contain enough columns")
df = df.iloc[:, :n_columns]
# Rename columns dynamically using metadata.
metadata_columns = load_metadata()
if len(metadata_columns) != len(df.columns):
raise ValueError(f"Mismatch between expected columns {len(metadata_columns)} "
f"and actual columns {len(df.columns)}")
df.columns = metadata_columns
# Exclude rows based on exclusions list.
exclusions_set = load_exclusions()
if exclusions_set:
df = df.loc[~df['ID'].isin(exclusions_set)]
return df
except Exception as e:
print(f"Error processing file {file_path}: {e}")
def process_directory(directory):
all_dfs = []
processed_files = set()
while True:
current_files = set(os.listdir(directory))
new_files = current_files.difference(processed_files)
if not new_files:
break
for filename in new_files:
if filename.endswith('.csv'):
full_path = os.path.join(directory, filename)
processed_df = process_file(full_path)
if processed_df is not None:
all_dfs.append(processed_df)
processed_files.add(filename)
print(f"Processed {filename}")
else:
print(f"Skipped {filename}")
# Run processing function.
process_directory('dataset/')
## Follow-up exercise
### Additional Requirements:
Modify your solution so that:
1. It handles nested directories within `dataset/`, recursively processing any `.csv` files found therein.
2. Implement multi-threaded processing where each thread handles separate subdirectories independently but aggregates results correctly at the end.
### Solution
python
import threading
def process_subdirectory(subdirectory):
all_dfs_local = []
def worker(files):
nonlocal all_dfs_local
local_dfs = []
for filename in files:
full_path = os.path.join(subdirectory, filename)
processed_df = process_file(full_path)
if processed_df is not None:
local_dfs.append(processed_df)
print(f"Processed {full_path}")
else:
print(f"Skipped {full_path}")
all_dfs_local.extend(local_dfs)
def get_all_csv_files(path):
csv_files = []
for root, dirs, files in os.walk(path):
csv_files.extend([os.path.join(root[len(path)+1:], f)
for f in files if f.endswith('.csv')])
return csv_files
csv_files_list = get_all_csv_files(subdirectory)
threads_count= min(8,len(csv_files_list)) # Limit threads count
chunk_size=len(csv_files_list)//threads_count
*** Excerpt ***
We next tested whether suppression was dependent upon feedback connections originating from PFC neurons projecting directly onto PL neurons (Figures S5A,B). We blocked feedback connections onto PL neurons using retrograde AAV-Cre injected bilaterally into PL combined with Cre-dependent expression of inhibitory DREADD receptors (AAV-DIO-hMiri-rev-mCherry) bilaterally injected into mPFC (Figure S5C). We targeted vCA1 because we had previously shown that mPFC drives CCK+ interneurons via hippocampal projections [34]. After recovery from surgery we confirmed expression hMiri-rev-mCherry selectively expressed by PFC projection neurons terminating onto PL neurons using immunohistochemistry (Figure S5D). After injection we tested whether CNO-induced suppression was still present when feedback projections were blocked (Figure S5E). We found no significant difference between baseline firing rates before training compared with after extinction training when feedback connections were blocked (t(17)=0 t=−0 p=0 , paired t-test). Furthermore there was no significant difference between baseline firing rates before training compared with after extinction training when feedback projections were intact (t(17)=−0 t=−0 p=0 , paired t-test), indicating no suppression occurred under either condition suggesting suppression is dependent upon feedback projections originating from mPFC pyramidal neurons projecting directly onto PL neurons.
*** Revision 0 ***
## Plan
To create an exercise that would be challenging even for individuals well-versed in neuroscience research methods and terminology:
- Include technical jargon related specifically to neuroscience research methods without providing definitions within the text.
- Incorporate complex sentence structures involving multiple clauses that require careful parsing.
- Introduce statistical concepts requiring understanding beyond basic interpretation – e.g., assumptions underlying statistical tests used.
- Reference additional neuroscientific concepts not explained directly within the excerpt but necessary for understanding implications – e.g., mention other brain regions involved indirectly without explanation.
- Require knowledge about genetic engineering techniques used commonly in neuroscience experiments (like viral vector use).
- Include references to figures without descriptions so readers must infer what they depict based solely on contextual clues provided elsewhere in the text.
## Rewritten Excerpt
{"MAIN_EXCERPT":
"In our subsequent inquiry regarding inhibitory modulation mechanisms governing prefrontal cortex neuronal output toward prelimbic cortex constituents, we interrogated whether such suppression necessitates direct cortico-cortical reverberant circuits emanating from prefrontal cortical projection cells targeting prelimbic recipients (referential diagrams delineated within Figures S5A,B). To occlude said reverberant circuits selectively targeting prelimbic cortex recipients post-synaptically innervated by prefrontal cortical axons projecting thereto, we employed retrograde adeno-associated virus-mediated Cre recombinase delivery bilaterally administered intraprelimbinally concomitant with Cre-inducible inhibitory designer receptors exclusively activated by designer drugs receptor transgene expression bilaterally delivered intraprefrontally via AAV-DIO-hMiri-rev-mCherry vector deployment (referential diagram delineated within Figure S5C). Our rationale dictated targeting ventral CA1 hippocampal territory predicated upon antecedent empirical evidence positing mediating roles played by prefrontal cortex-driven cholecystokinin-expressing interneurons receiving excitatory input originating hippocampally [34]. Postoperative recuperation phase completion precipitated confirmation assays validating selective hMiri-rev-mCherry transgene expression localized exclusively amongst prefrontal-originating projection neuron populations synapsing upon prelimbic targets employing immunohistochemical methodologies (referential diagram delineated within Figure S5D). Subsequent pharmacological intervention utilizing clozapine-N-oxide ensued post-transgene expression verification aimed at discernment regarding persistence or abrogation thereof concerning CNO-evoked suppressive effects under conditions characterized by disrupted feedback circuitry vis-a-vis control states maintaining circuit integrity (referential diagram delineated within Figure S5E). Statistical analyses yielded non-significant disparities between baseline neuronal discharge frequencies antecedent versus subsequent to extinction conditioning paradigms irrespective of feedback circuitry status – blockage yielding t(17)=0; p=0 whereas intact circuitry conditions similarly yielded t(17)=−0; p=0 according paired-sample t-tests – thereby implicating direct cortico-cortical feedback projections originating from pyramidal neuron populations residing within medial prefrontal cortex territories projecting directly unto prelimbic counterparts as requisite substrates underlying observed suppressive phenomena."}
## Suggested Exercise
Consider the following passage regarding experimental manipulation aimed at elucidating neural circuitry involving medial prefrontal cortex (mPFC) inputs onto prelimbic cortex (PL):
"Investigators sought clarification concerning inhibition mechanisms controlling outputs from mPFC neurons directed toward PL targets; specifically examining dependency on direct cortico-cortical loops originating from mPFC projection neurons terminating at PL sites... Employing retrograde AAV-Cre delivery combined with Cre-dependent DREADD receptor expression facilitated selective disruption... Target selection was informed by prior findings linking mPFC influence over cholecystokinin-positive interneurons via hippocampal inputs... Post-surgical validation confirmed selective transgene expression... Pharmacological challenges using clozapine-N-oxide differentiated effects under disrupted versus intact neural connectivity... Statistical evaluations showed non-significant differences across conditions..."
Which conclusion most accurately reflects implications drawn from statistical analyses presented?
A) Disruption of cortico-cortical loops does not affect baseline neuronal activity post-extinction training compared with control conditions preserving loop integrity; thus implicating these loops' necessity for suppression effects observed post-training.
B) Extinction training inherently modulates baseline neuronal activity irrespective of cortico-cortical loop integrity; therefore suggesting alternative pathways mediate suppression independent of direct mPFC-to-PL projections.
C) Non-significant statistical results indicate experimental failure due primarily to inadequate surgical technique affecting retrograde AAV-Cre delivery efficiency rather than revealing functional relevance concerning cortico-cortical loops.
D) Baseline neuronal activity differences are contingent upon successful pharmacological activation via clozapine-N-oxide rather than structural integrity or disruption of cortico-cortical loops connecting mPFC pyramidal neurons directly onto PL targets.
*** Revision 1 ***
check requirements:
- req_no: 1
discussion: The draft does not explicitly require advanced external knowledge outside
what's presented in the excerpt itself.
score: 0
- req_no: 2
discussion: Understanding subtleties is required but doesn't explicitly demand external,
advanced knowledge integration.
score: 2
- req_no: 3
discussion: The excerpt meets length and complexity criteria but could better integrate
challenging concepts requiring external knowledge.
score: 2
- req_no: 4
discussion: Multiple choice format is present but choices could be more misleading,
requiring deeper comprehension tied with external knowledge.
score: 1
- req_no: 5
discussion: The exercise poses difficulty but mainly tests comprehension rather than-application-of-extraneous-academic-knowledge.
revision suggestion: To satisfy requirement number one more fully, consider integrating-specific-neuroscientific-theories-or-facts-not-explicitly-discussed-in-the-excerpt-but-necessary-for-solving-the-question-properly;
restructuring-the-question-to-demand-knowledge-of-specific-neurobiological-pathways-or-mechanisms-that-relate-to-the-described-experiment-and-statistical-analysis-outcomes.For-example,the-question-can-involve-comparing-the-findings-with-known-effects-of-different-neurotransmitter-systems-on-neuronal-suppression-in-different-brain-regions-or-demand-understanding-of-specific-genetic-engineering-methodologies-used-in-neuroscience-beyond-basic-concepts-presented.To-make-choice-A-more-directly-correlated-with-this-knowledge,restructure-it-to-highlight-how-understanding-specific-neurotransmitter-systems' roles would lead-to-interpreting-the-results-provided.Increasing-choice-plausibility-and-subtlety-would-improve-challenge-level-for-target-audience.Making-each-choice-seem-viable-unless-one-has-deep-understanding-of-topic-and-context-would-enhance-difficulty-effectively.Making-sure-that-at-least-one-choice-directly-incorporates-an-aspect-that-is-only-clear-through-combining-textual-information-with-outside-knowledge-will-make-this-a-genuinely-challenging-exercise-for-target-audience-with-specialized-background-in-neuroscience-or-related-fields.'
correct choice: Disruption of cortico-cortical loops does not affect baseline neuronalactivitypost-extinctiontrainingcomparedwithcontrolconditionspreservingloopintegrity;thusimplicatingsuchloops'necessityforthesuppressioneffectsobservedpost-training.This alignswith theories suggesting GABAergic interneuron involvementin similarmodulatorycircuitriesacrossbrainregionsnotexplicitlymentionedintheexcerptbutnecessaryforinterpretingtheresultscorrectly.
revised exercise: Considering detailed experimental manipulations described above aimedat elucidating neuralcircuitryinvolvingmedialprefrontalcortex(mPFC)inputsontoprelimbiccortex(PL),evaluatehowthesefindingsmightcorrelatewithknownfunctionsofGABAergicinterneuronsinmodulatingneuronalactivitywithinsimilarcorticocorticalcircuitsacrossdifferentbrainregions.ThisisparticularlyrelevantgiventheuseofCre-inducibleinhibitorydesignerreceptorsactivatedbydesignerdrugs(DREADDs)tointerferewithspecificneuralpathways.ThequestionrequiresintegratingknowledgeofGABAergicinterneuronrolesfromoutside sourcesintointerpretationofexperimentaloutcomesdescribedabove.Whatconclusionmostaccuratelyreflectsinferencesdrawnfromstatisticalanalysespresentedinrelationtoexternalneuroscientificprinciples?
incorrect choices:
- Extinctiontraininginherentlymodulatesbaseline(neuronalactivityirrespectiveofcorticocorticalloopintegrity;suggestingeffectsofothertransmitter-systemsliketheglutamatergicsystemthatwerenotdirectlytestedbutareknowntoplaycriticalrolesinsimilarcontextsaccordingtoexternalliterature,thiscouldindicatealternativepathwaysmediatingsuppressionindependentofdirectmPFCToPLprojectionsobservedherebutrequiresadditionalexperimentalverificationforconclusiveness.)
- Non-significantstatisticalresultsmayindicateexperimentallimitationsratherthanfunctionalinsignificanceofcorticocorticalloops,suchaspotentialvariabilityinthetargettedexpressionofDREADDsorunforeseeneffectsonthenervoussystemstemmingfrombroaderimplicationsofgeneticmanipulationtechniquesdiscussedelsewhereinthecontextofneuroscientificresearchmethodsnotcoveredwithinthisstudyalone,butcrucialforcomprehensiveunderstandingandinterpretation.)
hired nearly half its workforce overseas since last year alone.[43] Another example comes courtesy Microsoft’s Chief Executive Officer Satya Nadella who stated publicly his company’s intention “to hire people wherever they’re located”.[44] Even Apple has joined this trend — opening two new offices abroad — one located near Beijing’s Zhongguancun Technology Park,[45] known colloquially as China’s “Silicon Valley,” another located near Bengaluru,[46] India’s own “Silicon Valley.” And yet another example comes courtesy Amazon.com Inc.’s announcement earlier this year stating it will invest $270 million dollars over three years creating thousands more jobs overseas.[47]
*** Revision $ |$ Modified excerpt |$***
In recent times there has been an observable trend among major American tech companies towards expanding their operational workforce internationally rather than domestically—a move driven largely by economic considerations such as lower labor costs abroad compared to higher wages domestically.[43] Notably prominent firms like Google have announced plans indicating nearly half their newly hired personnel since last year have been sourced internationally.[43] Similarly voiced intentions were echoed by Microsoft’s CEO Satya Nadella who emphasized his company's strategy “to hire people wherever they're located,” underscoring globalization trends affecting hiring practices.[44] Apple too has adapted its expansion strategy accordingly—by inaugurating two significant office locations abroad—one situated proximate Beijing’s renowned Zhongguancun Technology Park,[45] colloquially dubbed China's “Silicon Valley”, another strategically placed near Bengaluru,[46] India's equivalent technological hub known similarly as its own “Silicon Valley”. Moreover reinforcing this pattern is Amazon.com Inc.'s declaration earlier this year announcing an investment plan totaling $270 million over three years aimed at generating thousands more employment opportunities overseas.[47]
*** Revision history ***
## Plan
To create an advanced reading comprehension exercise that challenges even highly proficient readers while also testing their factual knowledge beyond what's presented explicitly in the text:
* Integrate complex sentence structures including nested counterfactuals ("if X had happened instead Y would be Z") which require careful parsing and logical reasoning skills.
* Include technical terms related especially to economics and international business operations which necessitate additional factual knowledge beyond general awareness.
* Employ indirect references requiring deductive reasoning—for instance mentioning policies indirectly impacting hiring strategies without stating them outright so readers must infer these impacts themselves.
## Rewritten Excerpt
In light recent developments underscored predominantly economic rationales driving major U.S.-based technology conglomerates towards augmenting their workforce footprint internationally rather than domestically—an initiative principally motivated by cost-efficiency stemming from comparatively lower labor expenditures abroad vis-a-vis escalated domestic wage scales.[43] Google notably exemplifies this trajectory having declared nearly fifty percent augmentation pertaining specifically international hires since preceding annum.[43] Mirroring similar strategic inclinations Microsoft’s Chief Executive Officer Satya Nadella articulated his organization’s intent encapsulated succinctly thus—to recruit personnel ubiquitously irrespective geographically constrained locales," thereby spotlighting prevailing global trends impinging recruitment modalities.[44] Apple concurrently aligns its expansionist agenda manifest through inaugurating dual office facilities extraterritorially—one strategically positioned adjacent Beijing’s illustrious Zhongguancun Technology Park,[45] often analogized informally China's counterpart Silicon Valley," whilst another proximate Bengaluru,[46], colloquially recognized akin India's Silicon Valley." Additionally Amazon.com Inc.'s pronouncement earlier this calendar cycle divulging plans earmarking $270 million investment spanning triennial duration purposed towards engendering myriad employment opportunities internationally corroborates aforementioned trend.[47]
## Suggested Exercise
Read carefully the revised excerpt above about major U.S.-based tech companies expanding internationally due primarily economic reasons linked mainly lower foreign labor costs compared against higher domestic wages.
Which statement best captures both implicit strategies mentioned indirectly regarding international expansion policies among these companies?
A) Companies prefer countries known simply because they have cheaper labor costs regardless of other factors like political stability or infrastructure quality.
B) Companies implicitly adopt strategies influenced significantly not only by labor cost differentials but also possibly aiming at tapping emerging markets' consumer bases thereby diversifying risk associated predominantly Western market dependencies.
C) All companies mentioned are uniformly focusing solely on Asian markets due mainly because Asia represents emerging markets only without considering other global regions potentially viable due similar cost advantages or market potentials.
D) Companies are moving jobs overseas purely because domestic employees demand higher wages which cannot be met even though profitability metrics may suggest otherwise domestically.
aving better energy efficiency ratings than comparable models sold here.”
Accordingly I’m guessing you’re going off some kind
of ‘energy guide’ rating system?
As far I know there aren’t any energy ratings applied
to fridges sold here…
So I guess you’re referring instead some kind
‘Energy Star’ rating system?
If so yes…any fridge sold here w/ Energy Star
rating should beat any fridge sold here w/o it…
I’ve never actually seen any fridges sold here w/o Energy Star ratings though…so maybe my assumption wrong…
As far I know Energy Star ratings do apply here…
But I’ve never seen any fridges w/o them…so maybe my assumption wrong…
So maybe fridges sold here don’t really need them? Or maybe just assume everybody buys fridges w/ Energy Star ratings anyway?
Don’t know…just guessing…
---
I don’t think anybody expects everybody buying fridges w/ Energy Star ratings anyway…but there certainly seems something weird going on re energy efficiency rating systems applied here vs Canada…
I’m guessing somebody needs explain it better…
Maybe somebody needs explain why there isn’t energy efficiency rating system applied here?
Or maybe somebody needs explain why Energy Star rating system applied here doesn’t seem include everything? Seems only apply certain brands/models? Seems only apply certain size ranges? Seems only apply certain types/models? Seems only apply certain features?
Seems very limited…doesn’t seem comprehensive enough?
---
But anyhow…that aside…I do know refrigerators sold here generally considered less efficient than comparable models sold Canada…
Not sure exactly why…but seems pretty clear factually speaking anyway…
Anyhow…I don’t think anybody expects everybody buying fridges w/ Energy Star ratings anyway…but there certainly seems something weird going on re energy efficiency rating systems applied here vs Canada…
I’m guessing somebody needs explain it better…
Maybe somebody needs explain why there isn’t energy efficiency rating system applied here?
Or maybe somebody needs explain why Energy Star rating system applied here doesn’t seem include everything? Seems only apply certain brands/models? Seems only apply certain size ranges? Seems only apply certain types/models? Seems only apply certain features?
Seems very limited…doesn’t seem comprehensive enough?
---
Anyhow…I do know refrigerators sold here generally considered less efficient than comparable models sold Canada…
Not sure exactly why…but seems pretty clear factually speaking anyway…
