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Copyright 2021 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no warranty is made as to accuracy. Trend Macrolytics, LLC Donald Luskin, Chief Investment Officer Thomas Demas, Managing Director Michael Warren, Energy Strategist Data Insights: Covid-2019 Monitor Wednesday, January 27, 2021 The global scorecard United States + 143,745 United States + 3,734 Brazil + 61,963 Mexico + 1,743 Spain + 36,435 United Kingdom + 1,636 France + 22,143 Brazil + 1,214 United Kingdom + 20,167 South Africa + 680 Russia + 17,982 France + 614 Mexico + 17,165 Spain + 586 Colombia + 13,606 Russia + 550 Peru + 13,301 Italy + 541 Indonesia + 13,094 Peru + 499 + 359,601 + 11,797 World + 547,501 World + 17,008 Top ten 66% Top ten 69% World 30.6 median population age New cases New Deaths The worst ten countries 131.560 bp of population infected As of Jan 26 New confirmed cases by continent 2.828 bp of population fatalities Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

Trend Macrolytics, LLC...2 The US scorecard New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital Hospital use ICU use CA NM CA CA NY RI 89% AL 92% TX NY TX

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  • Copyright 2021 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not

    authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying

    or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no

    warranty is made as to accuracy.

    Trend Macrolytics, LLC

    Donald Luskin, Chief Investment Officer

    Thomas Demas, Managing Director

    Michael Warren, Energy Strategist

    Data Insights: Covid-2019 Monitor Wednesday, January 27, 2021

    The global scorecard

    United States + 143,745 United States + 3,734

    Brazil + 61,963 Mexico + 1,743

    Spain + 36,435 United Kingdom + 1,636

    France + 22,143 Brazil + 1,214

    United Kingdom + 20,167 South Africa + 680

    Russia + 17,982 France + 614

    Mexico + 17,165 Spain + 586

    Colombia + 13,606 Russia + 550

    Peru + 13,301 Italy + 541

    Indonesia + 13,094 Peru + 499

    + 359,601 + 11,797

    World + 547,501 World + 17,008

    Top ten 66% Top ten 69%

    World

    30.6 median population age

    New cases New Deaths

    The worst ten countries

    131.560 bp of population infected

    As of Jan 26

    New confirmed cases

    by continent

    2.828 bp of population fatalities

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/mailto:[email protected]:[email protected]

  • 2

    The US scorecard

    New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital Hospital use ICU use

    CA NM CA CA NY RI 89% AL 92%

    TX NY TX TX FL CT 81% GA 90%

    AL NC FL NY NJ SC 80% CA 89%

    FL TX NY FL AZ CA 80% DE 87%

    PA IL IL NJ GA DC 80% OK 86%

    AZ IA OH PA OH MD 79% TX 85%

    TN KY PA IL AL GA 79% NC 85%

    GA NV AZ MI IN MA 78% MO 83%

    NY OR GA MA MD FL 78% DC 83%

    MO NJ NC GA MN MO 77% RI 82%

    73% 76%

    70% 72%

    Fewer daily cases Fewer new deaths Fewer new hospitalizations Most recoveries

    United States

    + 126

    + 101

    + 81

    + 66

    + 4,776

    + 4,748

    + 4,707

    + 209

    + 192

    + 179

    + 39

    + 9,466

    + 234

    + 231

    + 17,028

    + 409 + 26,274

    + 29

    + 21

    + 3,734

    61%

    -1,465

    NJ

    AZ

    VA

    PA + 4,628

    + 4,262

    All states

    + 92,643

    OH

    TX

    CA

    NY

    FL

    GA

    3,153,186 37,527

    1,637,296 34,407

    872,918 20,883

    812,495 20,853

    1,350,054 26,080

    1,108,430 21,105

    15,305

    727,752 14,220

    2,273,119

    + 133

    + 32

    34,701

    + 165

    -69 FL

    All states

    Median

    KY -4 VA -87

    TX

    Some states not reporting

    OH

    TN

    OK

    PA

    AL -94

    OH -117-8

    -24

    NY

    The ten worst US states

    + 525

    -979

    -54%

    89,995

    71,852

    59,661

    50,657

    48,915

    45,276

    41,315

    39,753

    31,330

    24,014

    502,768

    732,643

    + 17

    + 13

    + 219

    + 307

    + 11,064

    + 5,690

    All states

    + 2,278

    Top ten

    KS

    CT OK -141KS

    -296

    Top ten

    + 143,745

    -4,550

    64%

    727,423 13,482

    13,395,316 238,563

    791,165

    64%

    25,078,884 415,557

    53% 57%

    38.1 median population age

    769.954 bp of population infected

    12.758 bp of population fatalities

    AR -4

    Five most improved US states

    CA -9,979 CT

    MI

    + 26,425

    + 11,481

    + 5,502

    + 3,683

    + 3,657-1,272

    -2,602

    VA

    Dail

    y n

    ew

    cases a

    nd d

    eath

    s

    Source: Covid Tracking Project, Dept. of Health and Human Services, CDC, TrendMacro calculations

    https://covidtracking.com/https://healthdata.gov/dataset/covid-19-reported-patient-impact-and-hospital-capacity-statehttps://covid.cdc.gov/covid-data-tracker/#vaccinations

  • 3

    Rolling out the vaccines in the US US overall

    AK ME

    22.3% 14.6%

    11.1% 6.2%

    2.3% 1.5%

    WI VT NH

    11.8% 14.9% 13.3%

    4.6% 7.1% 6.0%

    0.8% 1.7% 1.1%

    WA ID MT ND MN IL MI NY MA

    12.6% 10.3% 11.2% 11.4% 12.2% 12.2% 12.9% 12.3% 12.7%

    5.5% 4.4% 5.9% 7.6% 5.1% 4.7% 6.1% 6.4% 5.5%

    1.0% 0.8% 1.3% 2.1% 1.3% 1.1% 1.2% 1.0% 1.0%

    OR NV WY SD IA IN OH PA NJ CT RI

    14.0% 11.0% 12.4% 13.3% 11.5% 13.4% 12.0% 12.8% 12.3% 14.5% 14.3%

    6.2% 4.6% 6.3% 7.2% 5.2% 6.1% 5.4% 5.1% 5.7% 8.2% 5.5%

    1.0% 0.7% 0.8% 2.1% 1.0% 1.3% 0.7% 1.1% 0.8% 1.3% 1.3%

    CA UT CO NE MO KY WV VA MD DE

    13.5% 11.7% 12.6% 12.3% 10.8% 12.5% 15.5% 13.7% 13.0% 13.3%

    5.2% 6.1% 6.5% 5.8% 4.3% 6.3% 9.4% 5.8% 5.3% 5.8%

    1.0% 0.8% 1.4% 1.2% 1.2% 0.7% 2.4% 0.9% 0.7% 1.2%

    AZ NM KS AR TN NC SC DC

    11.5% 12.9% 12.0% 13.1% 12.3% 11.9% 10.1% 13.8%

    5.0% 8.2% 4.5% 6.5% 5.3% 5.8% 5.2% 7.3%

    0.9% 1.7% 0.9% 1.2% 1.5% 0.8% 0.9% 1.9%

    OK LA MS AL GA

    13.4% 13.0% 12.5% 11.6% 12.3%

    7.2% 6.5% 5.6% 4.6% 5.6%

    1.1% 0.9% 0.5% 0.6% 0.6%

    HI TX FL PR

    14.9% 11.5% 14.4% 13.1%

    5.4% 5.6% 6.6% 4.6%

    1.3% 1.0% 0.7% 1.2%

    Over last day

    As of Jan 26

    State

    Doses distributed

    as % population

    One shot received

    as % population

    Two shots received

    as % distributed

    6.1% of US population one shot

    1.1% of US population two shots

    44.39 million doses distributed +2.98 million/day

    23.54 million doses administered +0.81 million/day

    19.90 million persons with one or more shot +0.65 million/day

    7.2% of US population vaccinated

    3.48 million persons with two or more shots +0.14 million/day

    53.0% of distributed doses administered

    2.73 million shots in long-term care +0.01 million/day

    1.9 doses per long-term care resident

    Source: CDC, TrendMacro calculations

    https://covid.cdc.gov/covid-data-tracker/#vaccinations

  • 4

    US deep-dive National and state-by-state data do not line up because of different sources

    Source: Covid Tracking Project, TrendMacro calculations

    https://covidtracking.com/

  • 5

    US deep-dive on the demographics of age, race and health

    Age distribution of US cases, fatalities and case-fatality rates Cumulative

    Racial distribution of US cases, fatalities and case-fatality rates

    (Does not foot

    with national average

    due to sample error)

    ComorbiditiesTop-ten joint causes of Covid mortalities, cumulative For 6% of the deaths,

    COVID-19 was the only

    cause mentioned. For

    deaths with conditions or

    causes in addition to

    COVID-19, on average,

    there were 2.9 additional

    conditions or causes per

    death.

    Source: Distributions CDC, Comorbidities CDC, TrendMacro calculations

    https://covid.cdc.gov/covid-data-tracker/#demographicshttps://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm

  • 6

    Recommended reading

    Steve Hilton investigates origins of COVID-19, links to

    US commissioned research Fox News January 24, 2021

    Fauci: Wearing two masks is better than one Tamar Lapin

    New York Post January 25, 2021

    China’s gift for the Biden inauguration is a

    conspiracy theory about Covid-19’s US origins Jane Li

    Quartz January 20, 2021

    Netherlands Has Worst Riots in Four Decades Over

    Covid Curbs Joost Akkermans

    Bloomberg January 26, 2021

    Meme of day

    g

    Source: Our beloved clients, and Power Line blog "The Week in Pictures"

    https://news.yahoo.com/steve-hilton-investigates-origins-covid-023346204.htmlhttps://news.yahoo.com/steve-hilton-investigates-origins-covid-023346204.htmlhttps://nypost.com/2021/01/25/fauci-wearing-two-masks-is-better-than-onehttps://qz.com/1959825/china-renews-its-push-on-a-conspiracy-theory-about-covid-19/https://qz.com/1959825/china-renews-its-push-on-a-conspiracy-theory-about-covid-19/https://www.bloomberg.com/news/articles/2021-01-26/dutch-covid-riots-add-to-political-tension-ahead-of-electionshttps://www.bloomberg.com/news/articles/2021-01-26/dutch-covid-riots-add-to-political-tension-ahead-of-electionshttps://www.powerlineblog.com/archives/category/the-week-in-pictures

  • 7

    The coronavirus case accelerometer… tracking the world’s infection curves

    Share of infected population from first day with 100 confirmed cases, log scale

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 8

    The coronavirus mortality accelerometer … tracking the world’s fatality curves

    Share of deceased population from day of first fatality

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 9

    “Exponential”? Our most reliable evidence of the rate of spread of Covid-2019 Vertical: days to double deaths Horizontal: days from first death Flat indicates exponential spread Declining indicates supra-exponential spread Rising indicates sub-exponential spread

    Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 10

    Requirement to Open Up America Again: 14-day “downward trajectory” in new cases 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 11

    Alt requirement to Open Up America Again: 14-day “downward trajectory” in pos tests 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 12

    Reality-checking the models: actuals versus IHME predictions

    Source: IHME, Covid Tracking Project, TrendMacro calculations

    https://covid19.healthdata.org/united-states-of-americahttps://covid19.healthdata.org/united-states-of-americahttps://covidtracking.com/

  • 13

    From Ground Zero to the Rio Grande

    New York

    US ex-New York

    Texas783.95 bp of population infected

    33.9 median population age

    As of Jan 26

    38.1 median population age

    693.99 bp of population infected

    38.2 median population age

    774.78 bp of population infected

    17.60 bp of population fatalities

    12.33 bp of population fatalities

    11.86 bp of population fatalities

    Source: Covid Tracking Project,, TrendMacro calculations

    https://covidtracking.com/

  • 14

    The sun-belt hot-spot states (other than Texas)

    California

    Florida

    Arizona

    As of Jan 26

    1006.56 bp of population infected

    38.0 median population age

    42.2 median population age

    798.03 bp of population infected

    36.7 median population age

    762.32 bp of population infected

    9.39 bp of population fatalities

    12.04 bp of population fatalities

    16.81 bp of population fatalities

    Source: Covid Tracking Project,, TrendMacro calculations

    https://covidtracking.com/

  • 15

    Patient zero… and then everyone else

    China

    World ex-China

    As of Jan 26

    28.8 median population age

    161.01 bp of population infected

    3.43 bp of population mortalities

    0.71 bp of population infected

    0.03 bp of population mortalities

    37.4 median population age

    Source: Johns Hopkins, Covid Tracking Project,TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/

  • 16

    Impact in the largest economies

    Japan

    Germany

    France

    As of Jan 26

    10.99 bp of population fatalities

    468.34 bp of population infected

    6.40 bp of population fatalities

    0.42 bp of population fatalities

    30.14 bp of population infected

    260.67 bp of population infected

    41.2 median population age

    45.9 median population age

    47.3 median population age

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 17

    Impact in The Anglosphere

    United Kingdom

    Canada

    Australia10.40 bp of population infected

    37.9 median population age

    As of Jan 26

    555.20 bp of population infected

    40.5 median population age

    201.00 bp of population infected

    40.8 median population age

    14.81 bp of population fatalities

    4.98 bp of population fatalities

    0.33 bp of population fatalities

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 18

    Impact in continental Europe

    Italy

    Spain

    Switzerland

    As of Jan 26

    10.70 bp of population fatalities

    603.29 bp of population infected

    11.98 bp of population fatalities

    14.23 bp of population fatalities

    411.86 bp of population infected

    560.29 bp of population infected

    45.5 median population age

    44.9 median population age

    42.2 median population age

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 19

    Impact in other hot-spots

    South Korea

    Singapore

    Sweden

    As of Jan 26

    41.8 median population age

    14.74 bp of population infected

    104.09 bp of population infected

    34.6 median population age

    0.26 bp of population fatalities

    0.01 bp of population fatalities

    40.9 median population age

    549.58 bp of population infected

    10.87 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 20

    Impact in the BRICs ex-China

    India

    Russia

    Brazil

    33.5 median population age

    426.41 bp of population infected

    10.39 bp of population fatalities

    As of Jan 26

    39.6 median population age

    26.8 median population age

    79.74 bp of population infected

    25.72 bp of population infected

    1.15 bp of population fatalities

    0.48 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series

  • 21

    Impact in the Middle East and Africa

    Israel

    Iran

    Africa (52 nations)26.79 bp of population infected

    19.7 median population age

    0.66 bp of population fatalities

    As of Jan 26

    30.3 median population age

    30.2 median population age

    694.70 bp of population infected

    158.31 bp of population infected

    5.06 bp of population fatalities

    6.57 bp of population fatalities

    Dail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    sD

    ail

    y new

    case

    s and d

    eath

    s

    Source: Johns Hopkins, TrendMacro calculations

    https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series